Multi-Source National Forest Inventory: Methods and Applications

Multi-Source National Forest Inventory Managing Forest Ecosystems Volume 18 Series Editors: Klaus Gadow Georg-Augus...

Author: Erkki Tomppo | Markus Haakana | Matti Katila | Jouni Peräsaari

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Multi-Source National Forest Inventory

Managing Forest Ecosystems Volume 18

Series Editors:

Klaus Gadow Georg-August-University, Göttingen, Germany

Timo Pukkala University of Joensuu, Joensuu, Finland and

Margarida Tomé Instituto Superior de Agronomía, Lisbon, Portugal

Aims & Scope: Well-managed forests and woodlands are a renewable resource, producing essential raw material with minimum waste and energy use. Rich in habitat and species diversity, forests may contribute to increased ecosystem stability. They can absorb the effects of unwanted deposition and other disturbances and protect neighbouring ecosystems by maintaining stable nutrient and energy cycles and by preventing soil degradation and erosion. They provide much-needed recreation and their continued existence contributes to stabilizing rural communities. Forests are managed for timber production and species, habitat and process conservation. A subtle shift from multiple-use management to ecosystems management is being observed and the new ecological perspective of multi-functional forest management is based on the principles of ecosystem diversity, stability and elasticity, and the dynamic equilibrium of primary and secondary production. Making full use of new technology is one of the challenges facing forest management today. Resource information must be obtained with a limited budget. This requires better timing of resource assessment activities and improved use of multiple data sources. Sound ecosystems management, like any other management activity, relies on effective forecasting and operational control. The aim of the book series Managing Forest Ecosystems is to present state-of-the-art research results relating to the practice of forest management. Contributions are solicited from prominent authors. Each reference book, monograph or proceedings volume will be focused to deal with a specific context. Typical issues of the series are: resource assessment techniques, evaluating sustainability for even-aged and uneven-aged forests, multi-objective management, predicting forest development, optimizing forest management, biodiversity management and monitoring, risk assessment and economic analysis.

For others titles published in this series, go to www.springer.com/series/6247

Erkki Tomppo • Markus Haakana Matti Katila • Jouni Peräsaari

Multi-Source National Forest Inventory Methods and Applications

Erkki Tomppo Finnish Forest Research Institute Helsinki, Finland

Matti Katila Finnish Forest Research Institute Helsinki, Finland

Markus Haakana Finnish Forest Research Institute Helsinki, Finland

Jouni Peräsaari Finnish Forest Research Institute Helsinki, Finland

ISBN 978-1-4020-8712-7

e-ISBN 978-1-4020-8713-4

Library of Congress Control Number: 2008931002 © 2008 Springer Science + Business Media B.V. No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without written permission from the Publisher, with the exception of any material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Printed on acid-free paper Cover picture: A typical forest area in South Finland, a Scots pine (Pinus sylvestris L.) regenaration area i front area (Padasjoki, photo: Erkki Oksanen). 9 8 7 6 5 4 3 2 1 springer.com

Preface

Statistically designed national forest inventories were developed and introduced simultaneously in the three Nordic countries, Norway, Sweden and Finland at the beginning of the 20th century. An increased interest in forests and a demand for timber were the major driving forces for national level monitoring. The utilisation of forests has been of a vital importance to the national economies in these countries, and especially in Finland and Sweden. Rapid changes in forests since the 1970s and in the 1980s and the continued importance of the forest sector in the Finnish economy stimulated further development of the inventory methodology, as well as the need to cheaply obtain forest resource information for areas smaller than would be possible using only field data. Natural resource satellite images had enabled to enhance inventories at relatively small additional costs. The development of the multi-source inventory (MS-NFI) method that utilises satellite images, field data and digital map data began in 1989, and the first operative results were calculated in 1990. Methods were sought to achieve estimates for small areas that were as good as the field data-based estimates at national and regional levels. To meet these requirements and to avoid the drawbacks of the classical image classification methods, a k-Nearest Neighbour estimation method (k-NN) was developed. A somewhat similar k-NN classification method had earlier been employed in image analysis and pattern recognition applications. In addition to the small area estimates, the MSNFI provides predictions of forest variables in map form. Following the Finnish example, similar development work is being carried out in a few other countries. The method has been modified continuously and new features have been added since its first implementation. The multi-source forest inventory methods developed and employed in the connection of the ninth National Forest Inventory of Finland are presented in this book, in addition to the full set of the results. The latest development in error estimation is also briefly discussed. The book aims to help the reader to understand the possibilities of the k-NN methods

v

vi

Preface

and the strengths of the multi-source inventory; and to employ the methods in diverse environment and natural resource monitoring tasks, and with many types of remote sensing data. Erkki Tomppo Markus Haakana Matti Katila Jouni Peräsaari

Acknowledgements

The development of multi-source forest inventory was initiated by late professor Pekka Kilkki at the Finnish Forest Research Institute, Metla. The results presented in this book presume the availability of forest inventory field data, amounting to about 150,000 field plots in two inventories, NFI8 and NFI9, as well as functioning computing and data management facilities, all provided by Metla. The manuscript has been read and valuable improvements suggested by Dr. Juha Heikkinen and Mr. Kai Mäkisara. The language was edited by Dr. Ashley Selby, and final editing was made by Ms. Sari Elomaa, Maija Heino and Reija Mikkola. We are deeply indebted to all the individuals whose support has made this book possible. We also express our sincere thanks to Dr. Catherine Cotton, Publishing Editor, and Ms. Ria Kanters at Springer for their guidance and assistance during all the phases of the production of the book.

vii

Contents

Preface .............................................................................................................

v

Acknowledgements ........................................................................................

vii

List of Abbreviations .....................................................................................

xiii

1

Introduction ..............................................................................................

1

2

Materials ...................................................................................................

5

2.1

6 6

2.2

2.3

2.4 2.5

Field Data .......................................................................................... 2.1.1 Sampling Designs ................................................................. 2.1.2 Measurements and Assessments on Field Sample Plots and Plot Stands............................................................. Satellite Images ................................................................................. 2.2.1 The Applied Satellite Images................................................ 2.2.2 Landsat 5 TM ........................................................................ 2.2.3 Landsat 7 ETM ..................................................................... 2.2.4 IRS-1C and IRS-1D .............................................................. Digital Map Data .............................................................................. 2.3.1 The Use of the Map Data ...................................................... 2.3.2 The Main Sources of Map Data ............................................ 2.3.3 Peatland................................................................................. 2.3.4 Arable Land .......................................................................... 2.3.5 Urban Areas, Houses and Other Built-Up Areas ...................................................................... 2.3.6 Roads .................................................................................... 2.3.7 Water ..................................................................................... 2.3.8 Accuracy of the Combined Land Use Map Data............................................................................... 2.3.9 Digital Boundaries of the Computation Units ...................... Digital Elevation Model .................................................................... Large Area Forest Resource Data .....................................................

6 13 13 15 16 17 18 18 19 19 23 25 27 27 28 30 31 32

ix

x

3

Contents

Methods.....................................................................................................

35

3.1

Image Rectiﬁcation and Pre-processing of Data............................... 3.1.1 Satellite Image Rectiﬁcation ................................................. 3.1.2 Radiometric Correction by Means of Digital Elevation Model .................................................................... 3.1.3 Preparation of Input Data Sets .............................................. Estimation ......................................................................................... 3.2.1 Field Data Based Estimation and Reliability Analysis ................................................................................ 3.2.2 The Basic k-NN Estimation Method .................................... 3.2.3 The Improved k-NN (ik-NN) Method, Use of Coarse Scale Forest Variable Estimates and Genetic Algorithm in the Distance Metric ..................... 3.2.4 Selecting Estimation Parameters and Their Values for k-NN .................................................................... 3.2.5 Area and Volume Estimates – Stratiﬁcation, Correction for Map Errors .................................................... 3.2.6 Assessing the Errors – Current and Potential Methods ................................................................................

35 35

Results .......................................................................................................

63

4.1 4.2

63

3.2

4

41 43

47 52 53 58

Forest Resources by Municipalities .................................................. Comparison of the Results by Regions and to MS-NFI8 Results ................................................................... 4.2.1 Variables in the Comparison ................................................. 4.2.2 Mean Volume of Growing Stock .......................................... 4.2.3 Dominant Tree Species ......................................................... 4.2.4 Age Class Distribution on Forest Land ................................. 4.2.5 Distribution of Development Classes ................................... 4.2.6 Available Energy Wood ........................................................ Accuracy of Small-Area Estimates from MS-NFI8 and MS-NFI9 .................................................................................... 4.3.1 Empirical Errors of MS-NFI9 Small-Area Estimates Based on Independent Inventory Data .................................. 4.3.2 Assessing the Systematic Errors of the MS-NFI8 and MS-NFI9 Municipality Estimates .................................. Digital Thematic Output Maps .........................................................

81 87

Discussion..................................................................................................

89

4.3

4.4 5

36 37 41

64 64 65 70 74 75 77 79 79

Contents

xi

Appendix 1

Forest Resource Tables 1–8....................................................

93

Appendix 2

Examples of Forest Resource Maps ......................................

349

References .......................................................................................................

367

Index ................................................................................................................

371

List of Abbreviations

k-NN ik-NN NFI MS-NFI Landsat Landsat MSS Landsat TM Landsat ETM+ Spot XS HRV

SLC IRS-1 C/D LISS-III IFOV

NLS TOPO50 TOPO PerusCD DEM RMSE SE FRYL FPPF PPF

k-Nearest Neighbour method Improved k-NN method National forest inventory Multi-source national forest inventory Land satellite Multispectral Scanner Thematic Mapper, a high-resolution scanner system on board the Landsat-4 and Landsat-5 satellites Enhanced Thematic Mapper, sensor on-board Landsat-7 Satellite pour l’Observation de la Terre with XS (Spot 2) or XI (Spot I) multispectral scanner, High resolution Visible (HRV) imaging systems Scan Line Corrector, compensates for forward motion of Landsat satellite Indian Remote Sensing Satellite, Linear imaging self-scanner 3 Instantaneous ﬁeld of view, when expressed in linear or area units such as meters or hectares, it is an altitude dependent measure of the ground resolution of the scanner National Land Survey of Finland 1:50,000 topographic map database Topographic database Digital map corresponding to 1:20,000 printed maps Digital elevation model Root mean square error Standard error Forestry land, in MS-NFI covers forest land, poorly productive forest land and unproductive forest land Forest and poorly productive forest land Poorly productive forest land

xiii

Chapter 1

Introduction

Abstract This book presents the Finnish multi-source forest inventory method (MS-NFI) that was developed and applied in connection with the ninth National Forest Inventory of Finland (NFI9). The book also presents a complete set of results. The purpose is to demonstrate both the use of the method and the results in a concrete way for forestry and other applications. The aim is to help the reader in a possible implementation of the method. The method employs satellite images, digital map data and other ancillary data, e.g., predicted coarse scale variations of forest variables, in addition to field data. It produces both small-area estimates of forest parameters, as well as predictions of variables in map form. The first chapter outlines the background of the Finnish national forest inventories and the Finnish multi-source inventories (MS-NFI). Some basic principles of the MS-NFI are explained together with examples of the use of the results. Satellite image-based inventories in other countries are briefly reviewed. Keywords Multi-source forest inventory, national forest inventory, satellite images

The first National Forest Inventory (NFI) was carried out in Finland in 1921–1924. The tenth rotation began in 2004 and will be completed by 2008. The increased interest in forests and the demand for timber were major driving forces for national level monitoring. The information from the inventories has traditionally been used in large area forest management planning, strategic planning by forest industry companies, for forest income taxation, and as the information basis of forest and environment policy. The information is also increasingly used in the reporting to international conventions and agreements. The sampling designs and plot- and stand-level measurements have been changed over time to respond to changing requirements and to optimize the use of available resources. The sampling design in the first inventory was a line-wise survey sampling (Ilvessalo 1927). Similar sampling systems, with different sampling intensities, were employed during the next three inventories until 1963. Since then, detached tracts (clusters of sample plots) have been employed (Kuusela and Salminen 1969). A new feature introduced in the 1960s and 1970s for the sixth and seventh

E. Tomppo et al. Multi-Source National Forest Inventory, © Springer Science + Business Media B.V. 2008

1

2

1 Introduction

inventories for northern Finland was the use of aerial photographs with a grouping method: a variation of double sampling for stratification (Poso 1972). Based on the information from sample plots, estimates can be made for a country, or regions within a country, with a minimum size of about 300,000–500,000 ha. The densities of plots are high enough to ensure that the resulting sampling errors are low for core variables such as areas of land classes and the volume of growing stock. For example, the standard error of the estimated volume of the growing stock in a Forestry Centre, with an area of 0.8–5.0 million hectares, was in NFI8 around 2% in Finland, and at the national level it was 0.6% (Tomppo et al. 2001b). The administrative units in Finnish forestry are the forestry centres, which have forest areas between 800,000 and 5 million hectares. However, the areas of the centres are divided into sub-areas, or forest management units for which forest resource and forest status information are needed. The changed practices of the forest industries, increased public awareness about forests, as well as increased changes in the forests during the 1980s required more accurately localised and up-to-date information than earlier. The use of field data alone to respond to the increased information needs would have been an expensive alternative. Either a substantially denser field plot grid or some other type of information was required. The first tests with space-borne remote sensing for forest inventory purposes were made in Finland in late 1960s and early 1970s (Kuusela and Poso 1970). The Earliest images were from a weather satellite, and then images of Landsat multispectral channel (MSS), and from the 1980s, Landsat Thematic Mapper (TM) and Spot XS images were tested at universities and research institutes. A list of publications is given in Tomppo (2006b). The development of the Finnish multi-source national forest inventory (MSNFI) began in 1989, and the first operative results were calculated in 1990 (Tomppo 1990, 1991, 1996, 2006b). The driving force behind the development was the need to obtain forest resource information, at a low cost, for areas smaller than possible when using only field data. Furthermore, new natural resource satellite images provided possibilities for increasing the efficiency of inventories at relatively small additional costs. MS-NFI was introduced during the eighth rotation of NFI (1986– 1994) in the Pohjois-Savo forestry centre (Fig. 1.1) (Tomppo et al. 1998b). MS-NFI progressed from Central Finland towards North Finland in the connection of the field NFI. For southernmost Finland, inventoried before the launch of MS-NFI, i.e., in 1986–1988, MS-NFI was made as follows. A sub-sample of the field plots in southernmost Finland was re-measured in 1994. The sampling ratio was a little less than 40% of the plots. MS-NFI estimates were calculated using the re-measured field data and satellite images from 1994, or the closest to that year if the 1994 image was not available for some sub-region. The inventory is sometimes called NFI8+ and the corresponding multi-source inventory MS-NFI8+ (Tomppo et al. 1998b). The term MS-NFI8 is, however, used throughout this book. In contrast to previous methods of satellite image classification, methods were sought that would be able to provide area and volume estimates, possibly broken down into subclasses, such as tree species, timber assortments, and stand-age classes. The potential wood energy biomass of forests was also considered in this

1 Introduction

3

Fig. 1.1 Forestry centres 1.1.2007. Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

book due to its importance as an alternative energy source to non-renewable energy. In the optimal case, the method should be able to provide estimates for small areas equally as good as the field based method provides estimates at national and regional levels. In the first satellite image experiments aimed at forest management inventory, regression- and discriminant analysis methods were tested (Tomppo 1988). In these approaches, the areal estimates of the parameters and the pixel level predictions of the values of the variables had to be made separately (or in small groups). The main experiences were that (i) it was difficult to obtain a sufficient degree of detail in the information and (ii) the dependence structure of the variables generally was lost when the predictions of different variables were made independently. To avoid these drawbacks, a new method for multi-source inventory was developed. It utilises k-Nearest Neighbour estimation and has become known as the k-Nearest Neighbour method (k-NN) (Linton and Härdle 1998; Tomppo 1990). Since the first implementation of this method, it has been modified continuously and new features have been added (Katila et al. 2000; Katila and Tomppo 2001, 2002). The core of the current Finnish method is presented in Tomppo and Halme (2004). In that paper, a method called ik-NN, an improved k-NN method, was introduced. Any digital land use map or land cover data can be used to improve the

4

1 Introduction

accuracy of the predictions (Tomppo 1991, 1996). The list of references of k-NN applications and tests in forest inventories are given in Tomppo (2006b). New features in k-NN methods are discussed in Subsection 3.2.3. A somewhat similar method has been developed in Sweden. The main features of the Swedish k-NN algorithms and products are given in Reese et al. (2002, 2003). The development work is also described by Nilsson (1997) and Hagner and Olsson (2004). The k-NN product is the only nationwide complete coverage forest database in Sweden and it is used for a multitude of purposes. However, it will only be utilized in the official Swedish statistics as a basis for post-stratification, see also Tomppo et al. (2008). Currently, scientists from the USDA Forest Service and from Universities in the USA are also developing the multi-source methods (Franco-Lopez et al. 2001; McRoberts 2006; McRoberts et al. 2002a, 2002b, 2006). McRoberts et al. (2002a, 2002b) applied a post-stratified volume and forest area estimator where the stratification was based on k-NN predictions. This is one promising way to derive statistically sound estimates and error estimates. Other developments include work by McRoberts (2006) and McRoberts et al. (2007), who presented a model-based approach to derive k-NN error estimates for a group of pixels at an arbitrary size, and Finley et al. (2006) and Finley and McRoberts (2008), who presented two methods to increase the efficiency of the k-NN search. Similar multi-source methods have also been tested for limited areas in several other countries, such as Norway (Gjertsen 2005), Austria (Koukal et al. 2005), New Zealand (Tomppo et al. 1999), China (Tomppo et al. 2001a), Germany (Diemer et al. 2000) and Italy (Maselli et al. 2005). The objective of this book is to present the method and the municipality-level results of the ninth multi-source national forest inventory of Finland (MS-NFI9). All phases of the process and input data sets are presented. A set of the result tables is presented to demonstrate the possibilities for making estimates. These result tables are also important for comparisons between MS-NFI8 and MS-NFI9 estimates and to understand the limitations of the method. Furthermore, the results and accuracies of the MS-NFI estimates are discussed and some comparisons with the results of MS-NFI8 are made.

Chapter 2

Materials

Abstract The field sample of the ninth National Forest Inventory (NFI9) was measured from systematically located clusters of sample plots. The NFI9 sampling designs, cluster sizes and distances between clusters varied from 6 × 6 km in southernmost Finland to 10 × 10 km in Lapland. In total, 67,264 field plots were measured on forestry land across the entire country. Stand level characteristics and tree level measurements were recorded from the field sample plots. In the MS-NFI, tree-level volumes were transformed to volumes per hectare using the basal area factor and the maximum radius of the plot. Images from Landsat 5 TM or Landsat 7 ETM+ sensors were the most suitable for the MS-NFI by virtue of the fairly large coverage area of each image. In total, 42 Landsat 5 TM or Landsat 7 ETM+ images and 6 IRS-1 C or D LISS-III images were used to cover the land area of Finland. Map information was used to separate forestry land from other land classes. Map data were also used to stratify the forestry land area and the corresponding field plots into a mineral soil stratum and a peatland soil stratum. The majority of the map data came from the topographic database of the National Land Survey but in some areas this map data had to be combined with separate, older map data. The accuracy of the MS-NFI9 land use map data was estimated using a confusion matrix between the map and field based land classes of the NFI field plot data. The percentage of correctly classified land classes was 92.2% and 96.3% for South Finland and North Finland, respectively. Digital municipal boundaries were used to delineate the basic computation units in the MS-NFI. A digital elevation model was used in two ways, for stratification on the basis of elevation data and for radiometric correction. Coarse scale digital forest variable maps were constructed to guide the selection of the nearest neighbours. Keywords National forest inventory data, satellite images, numerical map data

E. Tomppo et al. Multi-Source National Forest Inventory, © Springer Science + Business Media B.V. 2008

5

6

2.1 2.1.1

2 Materials

Field Data Sampling Designs

The Finnish national forest inventory is a sampling based inventory. The sample plots are arranged into clusters that are also referred to as tracts. An important aspect is that the cluster should represent one day’s average work. The field measurements and assessments of the NFI are carried out on the field sample plots and on those forest stands that include at least a part of a field plot. The field sample plot is also a unit in the field data based estimation (Tomppo 2006a). The ninth inventory rotation was conducted during the years 1996–2003: the field work proceeded by forestry centres (Fig. 1.1). The sampling design was adapted to the variability of the forests. The six sampling density regions, together with field plot clusters, are shown in Fig. 2.1. The NFI9 sampling designs, cluster sizes, and distances between clusters, in the southernmost part of the country, Central Finland, North Central Finland, South Lapland, and North Lapland are shown in Fig. 2.2. The distances between clusters were 6 × 6 km in the southernmost Finland (extra cluster lines were added to obtain high enough number of field plots in Åland, Region 1, Fig. 2.2a), 7 × 7 km in Central Finland, 7 × 7 km elsewhere in North Central Finland, with fewer plots than in Central Finland, and 10 × 10 km in the municipality of Kuusamo and in South Lapland except in the area of the three northernmost municipalities. Two-phase stratified sampling was applied in three northernmost municipalities. The stratification was based on three variables: (1) the proportion of waste land (e.g. open bogs and very poor mineral sites like open rocks), (2) the volume of growing stock and (3) the predicted cumulative day-time temperature. The two first variables were predictions of multi-source forest inventory in a form of thematic maps (Henttonen 1991; Tomppo 2006a). Satellite image-based digital volume maps and sampling simulations were employed to evaluate different sampling designs. The sampling intensity was fitted to the spatial variation in forests throughout the whole country, being lower in the north than in the south (Henttonen 1991).

2.1.2

Measurements and Assessments on Field Sample Plots and Plot Stands

The measured quantities of NFI are called either characteristics or variables. The stands including at least a part of a field sample plot are here called field plot stands. Some stand level characteristics concerning the growing stock are assessed or measured by crown layer classes. The stand characteristics are used for area estimation in the field data based estimation and to stratify the inventory region into the calculation strata for area, volume and volume increment estimation. All volume

2.1 Field Data

7

The 9th NFI NFI Areas and sample plot clusters

6

5 NFI Areas Forestry Centers 2005

4

3

1

2

Fig. 2.1 NFI9 layout of clusters and the six geographic regions with different sampling densities, 1996–2003.

and volume increment estimates of the growing stock are derived from the tree measurements carried out on the field sample plots. Models are applied in the volume estimation. The experiences from the preceding inventories were applied in designing the field measurements of NFI9. Some new characteristics were introduced in NFI9, particularly characteristics related to forest biodiversity. In the Finnish NFI schema, forestry land is divided into productive forest land, poorly productive forest land, unproductive forest land (also called waste land) and the land class consisting of forest roads, forest depots and camp lots, small gravel

8

2 Materials

Location of the clusters

Sample plots in a cluster 250 m

250 m 8

3 km

3 km

1750 m

3 km

K

K

K

1250 m

1750 m

3 km 1250 m

4 P

K

3

13

14

D = Densified sample clusters – all plots temporary

2 T

12

P = Permanent clusters – every 4th cluster – sample plots 11-14 not measured – other sample plots measured as permanent

5

T

P

11

6

1750 m

T

10

T = Temporary clusters – all sample plots measured

7

1750 m

9

T

1

a Location of the clusters

P

6 km

1250 m

1250 m

250 m

250 m

6 km T

Sample plots in a cluster 10

11

12

13

T = Temporary clusters – all sample plots measured

6

P = Permanent clusters – every 4th cluster – sample plots 1, 2, 13 and 14 not measured

5 1750 m

9

7

1750 m

T

8

4 T

14

– other sample plots measured as permanent

3 2

b

1

Fig. 2.2 The NFI9 sampling design in different inventory regions: (a) region 1, (b) region 2, (c) region 3, (d) region 4 (in region 5, the design is same but the distances are 10 × 10 km, (e) region 6. Stratified sampling was used in region 6.

pits etc. (Tomppo et al. 1997). Forestry land in the MS-NFI includes forest land, poorly productive forest land and unproductive forest land (land classes 1 to 3), not land class 4, forestry roads etc. which belong to built-up land in MS-NFI. Note that the national definitions of both forest land and poorly productive forest land deviate from the definitions of forest land and other wooded land of the FAO (2001), although the FAO definitions were employed together with the national definitions in the NFI9.

2.1 Field Data

9

Location of the clusters

Sample plots in a cluster

7 km

300 m

T

300 m

6 P

7 km

1500 m

T

11

12

13

14

2

15

1

18

17

16

Location of the clusters

Sample plots in a cluster

7 km, 10 km in Lapland

T = Temporary clusters

15 14

- all sample plots measured

2100 m

1500 m

2100 m

T

13

P = Permanent clusters

P

- every 4th cluster - sample plots 1, 2, 14 and 15 not measured

12

- other sample plots measured as permanent

10

11

300 m

T

10

P = Permanent clusters - every 4th cluster - sample plots 11-14 not measured - other sample plots measured as permanent

3

c

7 km, 10 km in Lapland

9

- all sample plots measured

4

T

8

T = Temporary clusters

5

1200 m

7

T 300 m

1

d 450 m 6 450 m

5

4

3

2

1

e Fig. 2.2 (continued)

7

8

9

2

3

4

5

6

7

8

9

10

2 Materials

Stand level data can be classified into the following groups: 1. General data of field plot cluster, e.g., inventory type, record type, crew leader, coordinates of cluster, date, inventory area 2. Plot identification data, e.g., plot number, coordinates, administration, possible restrictions in wood production, multiple use, plot size, etc. 3. Site data, e.g. land class and its changes, direction and distance to the closest stand boundary (used in selecting field plots to feature estimation in ik-NN analysis), the features for main site fertility type, mixture of site fertility types, specification of mire type, soil type, quality and thickness of organic layer, drainage accomplished and proposed, forest income taxation class, etc. 4. Information by crown layer, e.g. species in the layer, development class, stand establishment, dominant tree species, species mixture, number of stems, quality, mean diameter, mean height, age, syndrome, originating time and cause of damage 5. Other stand level information, e.g., seriousness of damages (all layers simultaneously), lichen survey, stand quality, accomplished as well as proposed silvicultural and cutting regimes and time, basal area 6. Key biotopes within a circular sample plot with a radius of 30 m Five concentric plots were applied in NFI9. The radius of the plot depended on the variable in question and on the value of the variable, e.g. the radius of the tally tree plot depends on the diameter of a tree. From plot level data, only data from tally tree plot were employed in MS-NFI9. It is a Bitterlich plot (angle-gauge plot) measured on forest and poorly productive forest land (FPPF)._A tree with a diameter of d is thus measured on a circle with a radius of r = 50d/Ö q . The basal area factor q was 2 in southern Finland (regions 1–3) and 1.5 in northern Finland (regions 4–6). The maximum radius was 12.52 m and 12.45 m, respectively (corresponding to breast height diameters of 34.5 cm and 30.5 cm, respectively). Where a relascope could not be used for judging inclusion reliably, this was checked by measuring the distance and diameter of the tree at a height of 1.3 m. Reducing the radius of a sample plot detracts very little from the reliability of the estimates, but it does ease the amount of fieldwork noticeably in some cases, as the number of divided sample plots (i.e., sample plots belonging to two or more stands or land classes) decreases. The use of maximum distance may also reduce errors caused by possible unobserved trees, usually located a long distance from the plot centre and behind other trees. Every seventh tally tree is measured as a sample tree, except in the area of the three northernmost municipalities where it is every fifth, see Fig. 2.3. A stand including a centre point of a sample plot is called centre-point stand. A stand including a part of the field plot (trees of a plot) but not a centre point of a plot is called a sub-plot stand. The corresponding terms for plot parts are centrepoint plot and sub-plot. The characteristics to be assessed or measured on a stand depend on the land class in question. All variables to be recorded from the land class in question are recorded from a centre point stand independently of whether trees are measured on the plot or not. Only a few variables are recorded from a subplot stand if there are no tally trees in the corresponding plot. The reason for this is

2.1 Field Data

11 Tally tree Sample tree A boundary tree the inclusion checked with measurements belonging to the sample plot A boundary tree the inclusion checked with measurements not belonging to the sample plot A tree belonging to Bittenlich plot, but outside of the sample plot

Fig. 2.3 A sample plot of NFI9. The maximum distance to trees to be counted is 12.52 m in South Finland (q = 2) and 12.45 m in North Finland (q = 1.5). Every seventh tree is measured as a sample tree, counted by crews and starting in the beginning of field season.

that the area estimates are based on the information on the centre point stands only in the field inventory based estimation. Note that the tally trees on both centre-point plots and sub-plots are applied in volume and volume increment estimation (Tomppo 2006a). The main idea in employing multi-source data is to estimate new area weights for field sample plots. Furthermore, digital thematic maps can be created, in principle for any arbitrary variable in the NFI. One record is made for each centre-point plot and each sub-plot. The record consists of field data, satellite image data, digital map data and coarse scale forest variable data. Field data consists of site and stand variables, as well as field plot level data, and are attached to the pixel whose centre point is nearest to the centre point of a plot. The satellite image data and digital map data are same for a centrepoint plot and a possible associated sub-plot. The basic computation unit in image processing is a picture element, a pixel. The pixel size employed in the MS-NFI was 25 × 25 m. All field data variables are assumed to correspond to an area of this size. The tree-level volumes are transformed to volumes per hectare in the MS-NFI using the basal area factor and the maximum radius of the plot. Volumes per hectare are estimated for each sample plot by tree species and by timber assortment classes based on the tally tree volumes. The estimation of volumes and volumes of timber assortments for tally trees from field measurements is described in Tomppo (2006a). Otherwise, the field variables used are similar to those in the NFI calculations that use field data only. The only exception was the prediction of stand height using the tree level models by Veltheim (1987). These models

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were applied only with the data from South and Central Finland. The stand height has been measured in the field since 2001 in NFI9 in North Finland. As the calculations based on field measurements do not involve increment estimates for tally trees, increment estimates are not usually produced using the multi-source method. The main principles of the Finnish NFI using field data only are given in Subsection 3.2.1. Biomass estimates were calculated for each field plot for energy wood estimation. The two main potential development classes of wood energy sources of forests in Finland are young thinning stands and mature stands. All tree compartments above stump of those trees to be harvested as an energy wood are removed in a young thinning stand, i.e., the entire stem over stump, branches and foliage. Only the residual part of stem, in addition to branches, foliage, and optionally stumps and coarse roots (with a theoretical minimum diameter of 2 cm) are removed for energy in the case of the regeneration cutting of a mature stand. Only sample trees were employed in the biomass estimation because tree variables were required for predicting the biomass of tree compartments. It was decided not to predict the variables for tally trees. The sampling ratio of the sample trees was naturally taken into account in estimation. Every seventh tally tree was measured as a sample tree. Therefore the basal area factor for sample tree is close to 14 in southern Finland and close to 10.5 in northern Finland, except in the area of the three most northern municipalities where it is close to 7.5 (5 × 1.5), see above. The exact basal area factor depends on the ratio ‘number of tally trees/number of sample trees’, in addition to basal area factor of the tally trees. The cutting residual part of a stem was obtained by subtracting the potential saw timber volume and pulp wood volume from the entire stem volume. All volumes were predicted using volume functions and timber curve models (Laasasenaho 1982) as described in Tomppo (2006a). Biomass estimates for tree compartments were predicted for trees on FPPF of NFI9 using tree level biomass models (Marklund 1988) (Table 2.1). Tree level biomass predictions were converted to kg/ha taking into account angle-gauge sampling (Bitterlich sampling), basal area factor and the maximum radius of the plot. Thus, biomass predictions were obtained for each plot and plot part on FPPF.

Table 2.1 The compartments of tree biomass (Marklund 1988). Stem Bark Living branches Foliage Dead branches Stump Large roots, minimum diameter 2 cm Small roots Stem residual (from timber assortment class proportions and stem and bark biomass)

2.2 Satellite Images

2.2 2.2.1

13

Satellite Images The Applied Satellite Images

Images from the Landsat 5 TM or Landsat 7 ETM+ sensors were the most suitable for operative applications by virtue of the fairly large coverage area of each image combined with moderate spatial and spectral resolution. The problems with Scan Line Corrector (SLC) appeared in the ETM+ sensor on May 31, 2003, which made it unsuitable for MS-NFI. These images were given priority when choosing satellite images to cover an inventory area. IRS-1 C and D LISS-III images were used in NFI9 if Landsat TM or ETM+ images were not available, e.g. due to clouds. The land area of Finland is 30.45 million hectares, and the total area together with lakes and rivers is 33.81 million hectares. This was covered for NFI9 (1996– 2003) with 42 Landsat 5 TM or Landsat 7 ETM+ images and 6 IRS-1 C or D LISSIII images (Table 2.2, Fig. 2.4). For MS-NFI8 36 Landsat 5 TM images and 6 Spot 2 XS HRV images were employed. Note that the field data was from the years 1990–1994 over the entire country due to the fact that a sample of the original data in South Finland from the years 1986–1999 was re-measured in 1994 (Tomppo and Henttonen 1996; Tomppo et al. 1998b). The goal in image acquisition was to obtain the images for each inventory region from the year in which the field measurements had been carried out. A suitable imaging season in Finland is from mid-May until the end of August with the optimal time from early June until the end of July (e.g., Peterson 1989). The imaging season is rather short and cloud cover is frequent even in the summer. The image acquisition is therefore problematic and it is usual that the satellite images can not be obtained from the same year as the field measurements have been carried out (Table 2.2). Some basic concepts concerning satellite images are first recalled. Radiance refers to the flux of energy per unit solid angle leaving a unit surface area in a radial direction per unit time. Radiance corresponds to brightness in a given direction toward the sensor, and is different from reflectance, which is the ratio of reflected versus total energy. Radiance is what is measured at the sensor and is somewhat dependent on reflectance (Manual of Remote Sensing 1983; USGS 2007). Spatial resolution is a complex concept, though it is often presented in an elementary way. In the simplest case, spatial resolution may be defined as the minimum distance between two objects that a sensor can record distinctly. The Manual of Remote Sensing (1983) gives the following description: Spatial resolution in terms of the geometric properties of the imaging system, is usually described as the instantaneous field of view (IFOV). IFOV is a function of satellite orbital altitude, detector size, and the sensor altitude. Depending on the sensor and imaging type, and also due to curvature form of the earth, the IFOV may vary slightly from the centre of the image to the boundary areas from one place of the image to another ETM+ has an IFOV of 30 m for bands 1–5, and 7, 60 m for band 6, and 15 m for band 8, while the SPOT panchromatic sensor has an IFOV of 10 m, the SPOT multispectral (XS) sensor has an IFOV of 20 m, and the Indian Remote Sensing Satellite (IRS) has an IFOV of 36.25 m.

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Table 2.2 List of satellite images used in the MS-NFI9: image index number in Fig. 2.4, satellite sensor, path/row, image acquisition date, year of NFI field work and the forestry centres (Fig. 1.1) covered by the image. Image no. (Fig. 2.4)

Forestry centres covered

Sensor

Path/row

Date

Year of NFI field work in image area

1

Landsat 5 TM

188/16

24.8.1996

1996

9,8

2 3 4

Landsat 5 TM Landsat 5 TM Landsat 5 TM

189/16 188/17 189/17

31.8.1996 24.8.1996 9.7.1994

9,8 9,8 8

5 6 7 8a 8b 8c 9 10a 10b 10c 11a 11b 12a 12b 12c

Landsat 5 TM Irs 1C Landsat 5 TM Landsat 5 TM Landsat 5 TM Landsat 5 TM Landsat 5 TM Landsat 5 TM Landsat 5 TM Landsat 5 TM Landsat 5 TM Landsat 5 TM Landsat 5 TM Landsat 5 TM Landsat 5 TM

191/16 30/21 192/16 190/16,17 190/16,17 190/16,17 190/18 191/18 191/18 191/18 190/18 190/18 188/17,18 188/17,18 188/17,18

13.6.1997 17.6.1997 4.6.1997 12.6.1999 12.6.1999 12.6.1999 28.6.1999 16.8.1997 16.8.1997 16.8.1997 30.7.1999 30.7.1999 8.6.1997 8.6.1997 8.6.1997

13

Landsat 7 ETM+ 186/17,18

1996, 1997 1996 1996, 1997, 1986, 1987, 1988 1997 1997, 1996 1997, 1998 1999, 1998 1999, 1998, 1997, 1996 1999, 1998 1998, 1999 1997 1997, 1998 1998, 1997 1998, 1999 1998, 1999 1998, 1997, 1999 1998, 1999, 1997 1997, 1998, 1999, 2000, 1996 1998, 1997, 1999, 2000, 1996 1999, 2000 2000, 1999 2000 2001, 2000 2001, 2000 2001, 2000 2002, 2001, 2000 2002, 2001, 2000 2002, 2001 2002, 2003, 2001 2002, 2003 2003, 2002 2003 2003, 2002 2003 2003

14 Landsat 7 ETM+ 15 Landsat 7 ETM+ 16 Landsat 7 ETM+ 17 Landsat 7 ETM+ 18 Landsat 7 ETM+ 19a Landsat 7 ETM+ 19b Landsat 7 ETM+ 20 Landsat 7 ETM+ 21 Landsat 7 ETM+ 22 Landsat 7 ETM+ 23 Landsat 7 ETM+ 24 Landsat 7 ETM+ 25 Landsat 7 ETM+ 26 Landsat 7 ETM+ 27 Landsat 7 ETM+ 28 Landsat 7 ETM+ Images for small patches Irs 1D Irs 1D Irs 1C Landsat 5 TM Landsat 5 TM Landsat 5 TM Landsat 7 ETM+ Landsat 7 ETM+

3.8.1999

187/17 186/16,17 187/16 188/14,15 186/15 190/15 190/15 190/14,15 188/14 190/13,14 192/13,14 189/13 192/11,12 193/12,13 192/11 195/11

2.8.1999 10.6.2000 2.8.1999 26.7.2000 28.7.2000 27.5.2002 27.5.2002 30.7.2002 29.5.2002 30.7.2002 29.8.2002 21.8.2001 13.8.2002 1.6.2002 26.8.2001 27.7.2000

30/20 33/20,21 36/23,24 186/16 187/15 188/16 185/16 189/15

22.8.2001 24.6.2001 13.6.1999 27.5.1992 12.8.1994 2.7.1994 4.8.1999 2.6.2001

7,1b 7,1b 7,1b 2 5 3 2 0 2 1a 1a 2 1a 3 4 4 6 10,6 10 11 11 11 12 12 12 13 13 13 13 13 13 13

2.2 Satellite Images

15

MS-NFI9 Satellite image Forestry Centres 2002

NFI9 Fieldwork year 1996 1997 1998 1999 2000 2001 2002 2003

Fig. 2.4 The satellite image mosaic used to cover Finland in MS-NFI9. Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

2.2.2

Landsat 5 TM

The Thematic Mapper (TM) is a multispectral scanning radiometer on board Landsat 4 and 5. The TM sensors have provided nearly continuous coverage from July 1982 to present, with a 16-day repeat cycle. Landsat 5 was launched on March 1, 1984. The Landsat 5 TM sensor is a multispectral scanning, earth resources instrument designed to achieve higher image resolution, sharper spectral separation, improved geometric fidelity, and greater radiometric accuracy and resolution than the MSS sensor (USGS 2007).

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TM data are scanned simultaneously in seven spectral bands. Band 6 scans thermal (heat) infrared radiation. Bands 1–5 and 7 have a spatial resolution of 30 m. The spatial resolution for the thermal infrared (band 6) during image acquisition is 120 m, but the delivered TM band 6 is re-sampled to 30 m pixel size. The flight altitude of Landsat 5 is 705 km and the TM scene size is 170 × 183 km (Table 2.3). The thermal band (band 6) has not been used in the MS-NFI due to its poor spatial resolution and the high variation of Finnish forests. A specific area is covered more frequently at higher latitudes due to an increasing overlap of the adjacent paths. North of 54 degrees, the overlap is equal to or higher than 50% (USGS 2007). Landsat TM images are available with three different levels of correction, systematic correction (for general public), precision correction and terrain correction. Images with systematic correction have been ordered for Finnish MS-NFI purposes. The correction includes both radiometric and geometric correction. Landsat 5 TM data acquired after 1988 were found to have linearly increasing radiometric errors due to changing lamp response. In addition, a separate error appears to have been introduced into the processing of scenes acquired between 2000 and 2002. These radiometric errors only affect the reflective bands. These errors might have a minor impact on the differences between MS-NFI8 and MS-NFI9 estimates.

2.2.3

Landsat 7 ETM

Landsat 7’s sensor – the Enhanced Thematic Mapper Plus (ETM+) is a derivative of the Thematic Mapper (TM) of Landsats 4 and 5, but it is more closely related to Table 2.3 The technical properties of Landsat 5 Thematic Mapper. Band 1 2 3 4 5 Bandwidth (mm) Spatial resolution (m) Scene size (km2) Repetition (days)

6

0.45– 0.52– 0.63– 0.76– 1.55– 10.42– 0.52 0.60 0.69 0.90 1.75 12.50 30 30 30 30 30 120 183 × 172 16 at the Equator, 8 at the latitudes +60 and −60

7 2.08– 2.35 30

Table 2.4 The technical properties of Landsat 7 the Enhanced Thematic Mapper Plus (ETM+). Band

1

2

3

4

5

6

7

Bandwidth 0.45– 0.53– 0.63– 0.78– 1.55– 10.42– 2.09– (mm) 0.52 0.61 0.69 0.90 1.75 12.50 2.35 Spatial res- 30 30 30 30 30 60 30 olution (m) Scene size 183 × 172 (km2) Repetition (days) 16 at the Equator, 8 at the latitudes +60 and −60

8 (Pan) 0.52– 0.90 15

2.2 Satellite Images

17

the Enhanced Thematic Mapper (ETM) lost during the Landsat 6 failure. The primary performance-related changes of the ETM+ over the TM’s are the addition of the panchromatic band and two gain ranges, the improved spatial resolution for the thermal band, and the addition of two solar calibrators (USGS 2007). The Landsat-7 system is designed to collect 7 bands or channels of reflected energy and one channel of emitted energy. The flight altitude of Landsat 7 and the scene size of ETM+ are same as those of Landsat 5 and TM, 705 km and 170 × 183 km respectively (Table 2.4). Both Landsat 5 and Landsat 7 orbits are sun synchronous. The nominal mean sun time of the descending node at the Equator is 10:00 a.m.. A major objective of the Landsat-7 program is to upgrade the radiometric quality of the data to be commensurate with the other sensors in the Earth Observing System. Unlike its predecessors, a specific goal of the Landsat-7 program is to achieve radiometric calibrations of the data to ± 5% uncertainty over the 5 year life of the mission. For all Landsat 7 ETM+ data, raw uncorrected, systematic correction and gapfilled (scan line corrector, SLC-off, only) are available to the general public (including SLC-off products). Precision correction and terrain correction are available to approved USGS researchers only for all Landsat 7 ETM+ data (including SLC-off products). Level 1G products have been applied in the Finnish MS-NFI9. They include both radiometric and geometric correction. Image data are provided in rescaled 8-bit unsigned integer (DN) values. An instrument malfunction of ETM+ occurred onboard Landsat 7 on May 31, 2003. The problem was caused by failure of the SLC, which compensates the effect of the forward motion of the satellite on the image. Subsequent efforts to recover the SLC were not successful, and the problem appears to be permanent (USGS 2007). The problem SLC has had a major impact on the global earth science community, including the Finnish MS-NFI. The global user community has recognized the immediate impact of lost data and has shown great concern over the plans for future systems.

2.2.4

IRS-1C and IRS-1D

The Indian Remote Sensing Satellite IRS-1C, was launched on December 28th, 1995, and its identical twin IRS-1D on September 29th, 1997 by the Indian Space Research Organization. Sensors aboard include a panchromatic (black-and-white) sensor collecting 5.8 m resolution images, a multispectral (colour) sensor LISS-III collecting 23.5 m images, and a wide-field multispectral sensor collecting 188 m resolution images (Table 2.5) (ISRO 2007). LISS-III operates in four spectral bands. There is a separate optics and detector array for each band. Three bands (B2, B3 and B4) are in the visible and near infrared region. Band 5 is in the short wave infrared region. IRS standard data products are offered with two processing levels – radiometrically corrected and system corrected. System corrected is the higher level, which includes radiometric and geometrically corrected data.

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Table 2.5 The technical properties of IRS-1 C and IRS-1 D LISS-III sensors. Band 2 (red) 3 (green) 4 (NIR) Bandwidth (mm) Spatial resolution (m) Swath-width/image size (km) Repetition (days)

2.3 2.3.1

0.52–0.59 0.62–0.68 0.77–0.86 23 23 23 142 (IRS-1 C), 127-141 (IRS-1 D) 141 × 141

5 (SWIR) 1.550–1.700 70 141 × 148

2–26 at the Equator

Digital Map Data The Use of the Map Data

Digital map data are used to reduce the errors in the estimates. The errors in both the area and total volume estimates can be reduced significantly by the multi-source method if the differentiation of forestry land from non-forestry land can be supported by digital map information in addition to satellite images (Tomppo 1996). The map information is used to separate forestry land from other land classes, such as arable land, built-up areas, roads, urban areas and single houses. The effect of possible map errors on small-area estimates is reduced by using one of two alternative statistical methods (Katila et al. 2000; Katila and Tomppo 2002). The first is a calibration method using a confusion matrix derived from the land class distributions on the basis of field plot data and map data, and the second employs stratification of the field plots on the basis of map data (see Subsection 3.2.5). In addition, the map data are used to stratify the forestry land area and the corresponding field plots into a mineral soil stratum and a peatland soil stratum (i.e. spruce mires, pine mires, open bogs and fens). This stratification decreases the prediction and estimation errors due to the fact that mineral soils and different types of organic soils (peatland soils) can have significantly different spectral signatures even when the growing stock is the same (e.g., Katila and Tomppo 2001). Almost all the map data were obtained from the National Land Survey of Finland (NLS), most often in raster format. The road data were rasterized from vector format to 25 × 25 m pixel size. Some of the raster data were obtained in finer resolution and generalised to MS-NFI pixel size. The main principle in the rasterization and generalisation was to keep the total area covered by the map theme same as in the original data. The visual appearance of the non-forestry land classes in the MS-NFI output map was considered to be of secondary importance. The different map data were overlaid, ordered by the known accuracy of the data. The most precise map data was the final layer on the land use map. However, for the purposes of the calibration method (Subsection 3.2.5), the overlaying was done in such a way that the formed map stratum would be as homogeneous as possible with respect to the NFI field plot based land class distribution (Table 2.6) (Katila et al. 2000). The main objective was to obtain as precise estimate as possible for the combined forest land, poorly productive forest land and unproductive forest land (denoted by forestry land) compared to the NFI field data based estimate employing the combined digital land use map (Fig. 3.2b).

2.3 Digital Map Data

19 Table 2.6 Map stratification used in calibration in Häme-Uusimaa forestry centre. Code (h) Stratum 1 2 3 4 5 6

2.3.2

Forestry land Arable land Buildings and urban area Roads Other built-up land Water

The Main Sources of Map Data

There was a digital land use map available from the MS-NFI8 (Tomppo et al. 1998b) but updated and more accurate map data were purchased from NLS during the course of MS-NFI9. Most of the map data from MS-NFI8 had been combined from separate elements (Map data I) but data was available from the 1:50,000 topographic map database in southern Finland (Map data II, TOPO50) and more of these data were acquired from NLS (Fig. 2.5) (Maastotietojen keruuohje 1996). TOPO50 map elements covered arable land, waters, peatlands and urban areas. The initial materials to TOPO50 were the old topographic maps, which were updated using high-altitude aerial photographs. Polygons smaller than 1,000 m2 were removed in the generalisation process (Maastotietojen keruuohje 1996). Since 1997, the majority of the updated map data came from the most accurate source: NLS topographic database (Map data III, TOPO) (Fig. 2.5, Table 2.7) (Maanmittauslaitoksen maastotietokohteet 2005). The topographic database has the most accurate positional data and is comparable to maps on scale 1:5,000–1:10,000. The Topographic Database is continuously updated and currently it covers the whole of Finland, except for the northernmost parts of Lapland. There are two production categories in TOPO maps: ‘A’ areas (stereo mapping), where the positional accuracy is about 5 m (most of Finland), and in category ‘B’ areas, where the accuracy is about 20 m (Maanmittauslaitoksen maastotietokohteet 2005). The map elements covering arable land, waters, peatlands and other built-up areas (not urban areas) were extracted from the database and rasterized to 25 × 25 m pixel size (Table 2.7).

2.3.3

Peatland

The spectral response of peatlands differs from that of mineral soils with the same growing stock. In addition, some peatlands cannot be separated from mineral soils by means of remote sensing. Therefore, digital peatland information is used in order to improve the accuracy of MS-NFI estimates (Tomppo 1996; Katila and Tomppo 2001). The site class definition is vegetation-based in the NFI: the forest

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Forestry centres Old topographic maps 1958-1970 1971-1980 1981-1985 1986-1990 Basic maps 1961-1970 1971-1980 1981-1985 1986-1989 1990-1993 1994-1999 Topo and Topo50 maps Topo50 1988-1995 Topo 1993-1997

Fig. 2.5 The area covered by arable land map data elements from 1:50,000 basic maps, 1:50,000 topographic database (TOPO50), topographic database (TOPO) and ‘perusCD’ digital map from 2000 and the boundaries of forestry centres. Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

stand is considered to be peatland (spruce mires, pine mires, open bogs and fens) if the organic layer covering the mineral soil is peat or if 75% of the understorey vegetation is peatland vegetation (Lehto and Leikola 1987). A geological definition of peatlands is used for the topographic mapping: peatland is covered mainly by peat vegetation and the thickness of peat layer is over 30 cm. Thus, the peatland mask can not be used in a categorical way, but it is used to stratify the forestry land area and corresponding field plots for subsequent analysis in the estimation phase. TOPO50 or TOPO peatland data consisted of subclasses of open bogs, woody peatlands and paludified lands. It was therefore possible to stratify the peatlands in

NLS

NLS NLS/PRC Statistics Finland NLS

Metla/NFI

NLS

NLS

NLS

Arable land

Peatlands Houses Urban areas Roads

Peat production areas

Municipality borders

TOPO50: arable land, water, urban areas, peatlands

Topographic database: arable land, water, urban areas, peatlands, other built-up areas, open rocky soils, meadows, gardens PerusCD: arable land, water

1:10,000 or 1:20,000

1:50,000

1:100 000

Raster 25m

1:100,000 – – 1:20,000

1:50,000

Scale

Date of mapping

1993–1999

1988–1995

1995–2002

1954–1987 1993 1991 1994, 1997, 2001, 2002 1990–1994

1958–1990

See Fig. 2.5

See Fig. 2.5

Whole country

See Fig. 2.6 Whole country See Fig. 2.7 Whole country, see Fig. 2.9 Whole country, except TOPO in Fig. 2.5

See Fig. 2.5

Area covered

Raster

Raster

Vector

Raster

Raster Raster Raster Raster

Raster

Format

Data source

Topographic database

Administrational boundaries Topographic maps 1:50,000

Digitized from satellite images

Topographic maps HR HR Road data base

Base maps

NLS

1:20,000

See Fig. 2.5 Raster 2 m Base maps and topo1958–1999, mostly 1990–1999 in southern graphic atabase and central Finland Abbreviations: Metla = Finnish Forest Research Institute, NLS = National land survey of Finland, HR = Housing register, PRC = Population Register Centre.

Delivered by

Map theme(s)

Table 2.7 Sources and quality of the numerical map data.

2.3 Digital Map Data 21

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the k-NN estimation into open bogs and woody peatlands (Subsection 3.2.2). Paludified peatlands, most often corresponding to spruce mires, were included to woody peatlands. Where these data were not available, the peatland map data scanned from basic maps (scale 1:100,000) or GT-maps (scale 1:200,000) was used (Map data I) (Fig. 2.6, Table 2.7). Apart from being out-dated, these data contained serious geometrical errors of up to 125 m (Tomppo et al. 1998b). Thin peat layer mires (often spruce dominated) were missing from these data. In the TOPO50 and TOPO mapping process, the transformed peatlands, in which ground vegetation resembles that of mineral soils, were not included to peatland element. Tomppo

Basic maps TOPO50 TOPO Forestry centres

Fig. 2.6 The area covered by 1:100,000 peatland maps (Basic maps), 1:50,000 topographic database (TOPO50) and topographic database (TOPO) and the boundaries of forestry centres. Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

2.3 Digital Map Data

23

et al. (1998b) noticed that the drained peatlands were missing particularly from TOPO50, but also from 1:100,000 peatland maps. The accuracy of the scanned peatland map data (Table 2.8) and TOPO50 and TOPO peatland maps together (Table 2.9) was tested by comparing them against the main site class data from the NFI field plots. The percentage correctly classified NFI plots to peatland or mineral soil was 81.6% and 87.9% for Map data I peatlands and TOPO50 and TOPO peatlands, respectively. The accuracy of the Map data I was poorer, as was expected due to error sources mentioned above. The proportion of peatlands was underestimated by 25% and 14% for Map data I peatlands and TOPO50 and TOPO peatlands, respectively. The spruce dominated mires were missing both from Map data I (68%) and also from TOPO50 and TOPO (50% of plots), while the open bogs were fairly accurately covered by Map data II and III. The two peatland elements covered both peatland rich (Forestry Centres 7, 11, 12 and 13) and poor areas (Fig. 2.6).

2.3.4

Arable Land

Arable land is the third largest land class after forestry land and inland waters (Table 2.10). Most of the land use changes occur between arable land and other land classes (Tomppo et al. 2001b). The oldest map elements used were from the basic maps of the scale 1:50, 000, partly used in Central Finland, forestry centres 8 and 9

Table 2.8 The confusion matrix of NFI field plot main site class (forestry land) against the 1:100,000 peatland maps (areal cover in Fig. 2.6). Peatland map NFI field plot main site class

Peatland

Mineral soil

Total

Mineral land

1,264 5.28 7.67 22.67 765 3.20 31.69 13.72 2,864 11.97 68.08 51.37 682 2.85 82.47 12.23 5,575 23.30

15,212 63.58 92.33 82.90 1,649 6.89 68.31 8.99 1,343 5.61 31.92 7.32 145 0.61 17.53 0.79 18,349 76.70

16,476 68.87

Spruce mire

Pine mire

Open bog

Total

No. plots (%) Row (%) Column (%) No. plots (%) Row (%) Column (%) No. plots (%) Row (%) Column (%) No. plots (%) Row (%) Column (%) No. plots (%)

2,414 10.09

4,207 17.58

827 3.46

23,924 100.00

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Table 2.9 The confusion matrix of NFI field plot main site class (forestry land) against the TOPO50 and TOPO peatland map subclasses (areal cover in Fig. 2.6). Peatland map NFI field plot main site class

Open bog

Mire

Mineral soil

Total

Mineral land

32 0.07 0.11 1.69 30 0.07 0.72 1.58 377 0.88 4.28 19.87 1,458 3.40 70.95 76.86 1,897 4.42

1,523 3.55 5.47 13.77 2,076 4.84 49.69 18.78 6,975 16.26 79.17 63.08 483 1.13 23.50 4.37 11,057 25.77

26,302 61.31 94.42 87.83 2,072 4.83 49.59 6.92 1,458 3.40 16.55 4.87 114 0.27 5.55 0.38 29,946 69.80

27,857 64.93

Spruce mire

Pine mire

Open bog

Total

No. plots (%) Row (%) Column (%) No. plots (%) Row (%) Column (%) No. plots (%) Row (%) Column (%) No. plots (%) Row (%) Column (%) No. plots (%)

4,178 9.74

8,810 20.54

2,055 4.79

42,900 100.00

Table 2.10 Land classes in Finland according to NFI9. Land class 1,000 ha Forestry land Arable land Built-up areas Transport Routes etc. Inland watercourses

30,447 2,794 935 401 3,367

(Fig. 2.5). These map elements had been scanned by NLS to the 25 × 25 m pixel size. A transformation and resampling to the Uniform Coordinate System had been carried out, if the original projection zone in Basic Coordinate System differed from this (The Finnish Coordinate Reference … 2007). The field work for this map data was carried out between 1961–1990. These data obviously contain both positional and temporal errors (Tomppo et al. 1998b). In other Forestry centres, the TOPO50 or TOPO map data was used. In the year 2000, the whole arable land element was updated when the ‘PerusCD’ digital map, corresponding to 1:20,000 printed maps, was obtained. The main data source for ‘PerusCD’ was the TOPO database but in some regions – especially Lapland – map sheets were still from the 1:20,000 basic maps and dated from 1958–1990 (Fig. 2.5). In the NFI, the arable land class also includes land under farm buildings and their surroundings, as well as farm tracks, which may in turn be covered by the road map element (see accuracy analysis, Subsection 2.3.8).

2.3 Digital Map Data

2.3.5

25

Urban Areas, Houses and Other Built-Up Areas

The coordinates of each house in Finland are kept in a housing register provided by the Population Register of Finland. Buildings, when not covered by the urban or built-up area mask, are presented as squares of a size of 50 × 50 m. The four pixels which were closest in the geographical space to the house and which composed a square were classified as the area covered by the house. These data were for the year 1993. It should be noted that approximately 25% of the buildings were missing from the register, most of them outside urban areas (Mikkola 1997). TOPO50 elements contained urban areas – residential buildings and industrial buildings (Fig. 2.7). Elsewhere, the urban area was derived from the housing register

Statistical urban area; shrinked 75m Statistical urban area; shrinked 125m TOPO50 Forestry centres

Fig. 2.7 The area covered by statistical urban areas from Statistics Finland buffered down 125 m or 75 m and 1:50,000 topographic database for urban areas (TOPO50) and the boundaries of forestry centres. Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

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2 Materials

as follows: a group of houses with at least 200 inhabitants and covering a mutual distance of no more than 200 m formed an urban area and this was combined into a connected built-up land polygon. These vector-form data were purchased from Statistics Finland and were converted into raster format after being buffered down by 75 m or 125 m to avoid the overestimation of urban areas (Tomppo et al. 1998b). These data originate from 1991. TOPO map data contained a class of other built-up areas: e.g. mineral resources extraction areas, peat production areas, landfill areas, cemeteries, airfields, parks, sports and recreation areas. Separate digitization from satellite images was made for these areas (Fig. 2.8).

Other built-up areas; TOPO Forestry centres

Fig. 2.8 The area covered by other built-up areas by the topographic database (TOPO) and the boundaries of forestry centres. Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

2.3 Digital Map Data

27

The peat production areas cover large and homogeneous areas in Central and northern Finland and are relatively easy to separate and digitize from satellite images because of their relatively high visible spectral channel values. However, the digitizer must evaluate whether the particular polygon is in or out of production. Simple supervised image classification methods were also applied to separate open mineral soil areas, especially mineral extraction areas.

2.3.6

Roads

The road database of NLS is the most accurate data available in Finland. The vector format data was rasterized to 25 × 25 m pixel size. The road class information was used to define the width of the road (13–75 m) in the rasterization process. In general, the narrow-line-type land use elements are sensitive to errors in location and areal coverage due to rasterization to a coarser scale. The continuity of the resulting rasterized roads was not considered important. The data originated from the period 1994 to 2002 (Table 2.7, Fig. 2.9).

2.3.7

Water

The delineation of water was taken from TOPO50 and TOPO map data where possible. The ‘PerusCD’ digital map data was also used where possible after year 2000 (Fig. 2.10). In Central Finland, the water areas were delineated from satellite image prior to the MS-NFI estimation applying following procedure: (1) The ‘definitely water’ threshold employed the rule (p ∈ W | NIR/(R + c) <1), where NIR and R are near infrared and red spectral channel values of Landsat TM or ETM+ images, respectively, and c is a small integer value to fine-tune the result; (2) Create a 2–3 pixel buffer around the obtained delineation; (3) Threshold the water on the buffer zone applying near infrared spectral channel values only. Phase (3) delineation, applying a conservative threshold, was used also on areas with water map data to ‘backup’ the cases of possible missing map data or seasonal changes in the water level. An additional constraint to the above masks and water thresholds was applied in the k-NN estimation by using a digital elevation model: for the water pixels, the angle between solar illumination and the terrain normal should deviate little from the angle defined for flat terrain (Tomppo et al. 1998b). In the areas where no water map data was available, the comparison of the water area estimates from the created mask was done against the official land area statistics of NLS (Suomen pintaala kunnittain 2006). The map database water masks are usually more accurate because they contain the wetland areas that are difficult to separate from satellite images. However, the statistical control of water area estimates obtained from numerical map data is also necessary; e.g. the rasterization of ‘perusCD’ from 2 m resolution to 25 m resolution produces different results depending on the parameters applied. An accurate water mask is important in the MS-NFI because the low spectral channel values of water typically can be confused with high growing stock forests in the k-NN estimation.

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2 Materials

1994 1997 2001 2002 Forestry centres

Fig. 2.9 The area covered by the road database from 1994, 1997, 2001 and 2002 and the boundaries of forestry centres. Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

2.3.8

Accuracy of the Combined Land Use Map Data

The accuracy of the MS-NFI9 land use map data is estimated by applying a confusion matrix between the map and field based land classes of the NFI field plot data. The NFI land classes were combined to five classes. The tables are presented separately for South Finland (Table 2.11) and North Finland (Forestry centres 11, 12 and 13) (Table 2.12) because the proportion of the non-forestry land classes is clearly smaller in North Finland. Separate matrices are not presented in the Map data I and TOPO50 and TOPO maps. The percentage of correctly classified land classes were 92.2% and

2.3 Digital Map Data

29

Satellite image threshold Topo, Topo50, Basic maps Forestry centres

Fig. 2.10 The area where water was delineated from the satellite image and where water element from map data was used and the boundaries of forestry centres. Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

96.3% for South Finland and North Finland, respectively. The ultimate goal is to separate the forestry land from other land use and in this context the percentage of correctly classified NFI plots were 93.6% and 96.7%, respectively. The forestry land area was overestimated by 2.7% and 0.8% in South Finland and North Finland, respectively. The arable land element underestimated the proportion of arable land while built-up land was underestimated in South Finland. It should be noted that map data for land under by power lines and railroads was missing from the MS-NFI land use map. Despite this, rasterized roads significantly overestimate the land under roads, railways and power lines. The water delineation is quite accurate, but this is partly due to the large amount of water plots located on the sea: the NFI sampling grid covers sea

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2 Materials

Table 2.11 The confusion matrix of field based land class against the land use according to combined map data on NFI field plots in South Finland. Land use map

NFI field plot land class

Forestry land

Arable land

Built up land

Traffic and power lines

Forestry land

40,904 55.53 95.88 93.32 941 1.28 10.94 2.15 1,142 1.55 42.74 2.61 546 0.74 40.53 1.25 300 0.41 1.63 0.68 43,833 59.51

428 0.58 1.00 5.52 7,184 9.75 83.50 92.65 95 0.13 3.56 1.23 34 0.05 2.52 0.44 13 0.02 0.07 0.17 7,754 10.53

197 0.27 0.46 13.44 128 0.17 1.49 8.73 1,076 1.46 40.27 73.40 61 0.08 4.53 4.16 4 0.01 0.02 0.27 1,466 1.99

931 1.26 2.18 40.80 341 0.46 3.96 14.94 303 0.41 11.34 13.28 703 0.95 52.19 30.81 4 0.01 0.02 0.18 2,282 3.10

No. plots (%) Row (%) Column (%) Arable land No. plots (%) Row (%) Column (%) Built up land No. plots (%) Row (%) Column (%) Traffic and No. plots power lines (%) Row (%) Column (%) Water No. plots (%) Row (%) Column (%) Total No. plots (%)

Water

Total

201 0.27 0.47 1.10 10 0.01 0.12 0.05 56 0.08 2.10 0.31 3 0.00 0.22 0.02 18,053 24.51 98.25 98.53 18,323 24.88

42,661 57.92

8,604 11.68

2,672 3.63

1,347 1.83

18,374 24.95

73,658 100.00

areas all the way to the interior water frontier. If the NFI plots on water or on the water mask are excluded, the correctly classified percentages of forestry land/non-forestry land are respectively 92.3% and 96.8% in South Finland and North Finland. The accuracy estimates of single land class themes from the map are not precise because the map elements are overlaid and overlapping (as discussed in Subsection 2.3.1).

2.3.9

Digital Boundaries of the Computation Units

The basic computation unit in the multi-source inventory is the municipality, of which there were 416 at the beginning of 2007. Their land areas range from around 1,000 ha to some hundreds of thousands of hectares. Digital municipality boundaries are used to delineate the units (Tomppo 1996). The boundary information was obtained in vector-form at a scale of 1:100,000. The map data were from 1995–2002. New versions of the map data were purchased as the NFI proceeded. In this book, the set of municipalities and their boundaries were used as they were on 1.1.2007 but the land areas of the municipalities employed are from the field

2.4 Digital Elevation Model

31

Table 2.12 The confusion matrix of field based land class against the land use according to combined map data on NFI field plots in North Finland (forestry centres 11, 12 and 13). Traffic and Forestry Arable Built up power land land land lines Water Total Forestry land

No. plots (%) Row (%) Column (%) Arable land No. plots (%) Row (%) Column (%) Built up land No. plots (%) Row (%) Column (%) Traffic and No. plots power lines (%) Row (%) Column (%) Water No. plots (%) Row (%) Column (%) Total No. plots (%)

23,779 82.61 98.41 97.65 169 0.59 16.77 0.69 143 0.50 33.41 0.59 148 0.51 40.44 0.61 112 0.39 3.97 0.46 24,351 84.60

61 0.21 0.25 7.05 787 2.73 78.08 90.98 16 0.06 3.74 1.85 1 0.00 0.27 0.12 0 0.00 0.00 0.00 865 3.01

73 0.25 0.30 20.92 19 0.07 1.88 5.44 239 0.83 55.84 68.48 16 0.06 4.37 4.58 2 0.01 0.07 0.57 349 1.21

220 0.76 0.91 45.64 31 0.11 3.08 6.43 28 0.10 6.54 5.81 201 0.70 54.92 41.70 2 0.01 0.07 0.41 482 1.67

30 0.10 0.12 1.10 2 0.01 0.20 0.07 2 0.01 0.47 0.07 0 0.00 0.00 0.00 2,702 9.39 95.88 98.76 2,736 9.51

24,163 83.95

1,008 3.50

428 1.49

366 1.27

2,818 9.79

28,783 100.00

inventory year (cf. calibration to official land areas, Subsection 3.2.5). Some very small land area changes were not acknowledged in the applied boundary dataset. The forest resource estimates have also been computed for ownership groups within municipalities. These groups include privately-owned forests, state-owned forests managed by the Finnish Forest and Park Service and company owned forests. The land areas of the three ownership groups have been constructed using the boundaries of the two last ownership groups, the rest being classified as private owned forests. Some applications have also employed the digital boundaries of protected forests provided by Finnish Environment Institute.

2.4

Digital Elevation Model

A digital elevation model is used in two ways, for stratification on the basis of elevation data and for correcting the spectral values by reference to the angle between solar illumination and the terrain normal (Subsection 3.1.2). Stratification in this context means of using the maximum vertical distance from a pixel to its nearest neighbours. The selection of parameters for stratification and spectral correction has been studied by Katila and Tomppo (2001).

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The digital elevation model (DEM) employed was a raster file with a horizontal spatial resolution of 25 × 25 m and with a vertical resolution of 0.1 m (Fig. 2.11). The original elevation data of the National Land Survey of Finland is an elevation contour and sea coastal line vector file at the scale of 1:10,000. The original vertical contour interval was either 5 m or 2.5 m. The raster file was prepared by means of the triangulation network interpolation method (Digital Elevation Model 2007). The DEM was employed to the whole of Finland.

2.5

Large Area Forest Resource Data

The basic k-NN method was employed in NFI8 and the improved ik-NN method was introduced during NFI9. The latter employs a coarse scale variation in the key forest variables to guide the selection of field plots from which the data are

Fig. 2.11 The digital elevation model. Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

2.5 Large Area Forest Resource Data

33

81-88 71-80 61-70 51-60 41-50 31-40 21-30 11-20 1-10 0

a

81-105 71-80 61-70 51-60 41-50 31-40 21-30 11-20 1-10 0

b

31-38 21-30 11-20 1-10

c

11-19 1-10 0

d

Fig. 2.12 Large scale variation of mean volumes (m3/ha) of pine (a), spruce (b), birch (c) and other deciduous tree species (d) with boundaries of forestry centres. Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

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2 Materials

transferred to the pixel to be analysed. The variation is presented in the form of coarse-scale digital forest variable maps (Fig. 2.12), derived either from the current inventory data or from the data of the preceding inventory. In MS-NFI9, the field data from NFI9 was employed. The data produced by the NFI9 (1996–2003) for southern Finland were already available when the method was introduced. The inventory progressed by regions, and new large-area maps were created for the MS-NFI calculation whenever the field data for one region were available. There were 81,249 field plots on land across the entire country in the NFI9 of which 67,264 were on forestry land, 62,266 on combined forest and poorly productive forest land (FPPF), and 57,457 were on forest land alone. All the plots on FPPF were used for the final large-area maps. The variables were selected in such a way that their values indicate the areas in which the covariance structure between field variables and image variables would be approximately constant. It is assumed that the mapping from field data to image data, conditional for large-scale forest variables, is a bijection. A function, f: A → B, is bijective, or a bijection, or a one-to-one correspondence, if it is both injective (no two values map to the same value) and surjective (for every element of B there is some element of A which maps to it). In other words, there is exactly one element of A which maps to each element of B. Tree species composition or vegetation zones may reflect such areas in Finnish forests. Volumes by tree species on FPPF were therefore selected as variables. These variables also describe the average variation in the key inventory variables to be estimated in k-NN analysis. The maps were created as follows: the averages of the plot-level mean tree stem volumes (m3/ha) were computed by field plot clusters and a map of Finland with a pixel size of 1 × 1 km was ‘filled’ with these cluster-level averages using a nearest neighbour method, i.e. the values were taken from the nearest cluster (in geographical space). The map was filtered three times using a moving average with window sizes of 20 × 20 km, 11 × 11 km, and 25 × 25 km (Fig. 2.12).

Chapter 3

Methods

Abstract The chapter explains the image processing and statistical methods employed in the Finnish multi-source forest inventory. Section 3.1 is a brief overview of satellite image rectification and radiometric correction methods. The statistical methods are presented in Section 3.2, including the use of field inventory data alone. Field data based estimates are employed for validating the MS-NFI estimates for large areas. The basic k-nearest neighbour technique (the k-NN method) as well as the principles of k-NN estimation are presented. The improved version of the k-NN method, the ik-NN method, introduced during the MS-NFI9, is explained, as well as the selection of the estimation parameters and the latest developments in error estimation are discussed. Keywords Multi-source forest inventory, national forest inventory, satellite images, genetic algorithm, k-nearest neighbours, small-area estimation, stratification, statistical calibration

3.1 3.1.1

Image Rectification and Pre-processing of Data Satellite Image Rectification

All images were rectified to the national uniform coordinate system. Point-type objects (e.g., small islands) were identified on both the satellite images and the basic maps and a regression model was fitted to their image coordinates and map coordinates. Secondorder polynomial regression models were usually employed for this purpose: u = al + bl x + cl y + dl x 2 + el y 2 + fl xy + e u v = ac + bc x + cc y + dc x 2 + ec y 2 + fc xy + e v

(3.1)

where u and v are the map coordinates, x and y the image coordinates and eu and ev the random errors. A typical number of control points would be around 50. The resulting model enables an image element, i.e. a pixel, to be assigned to each E. Tomppo et al. Multi-Source National Forest Inventory, © Springer Science + Business Media B.V. 2008

35

36

3 Methods

ground element. The nearest neighbour method has been applied to re-sampling of the images to a pixel size of 25 × 25 m, which is somewhat smaller than the Landsat 5 TM and Landsat 7 ETM+ pixel size, and slightly larger than the pixel size of IRS-1 C and D LISS-III pixel size (and also larger than the pixel size of the Spot 2–4 XS HRV). This size was selected for practical reasons, as narrower objects (e.g. roads) can be better distinguished than at the original resolution of Landsat 5 TM. Landsat 7 ETM+ panchromatic band was first rectified with a pixel size of 12.5 m. The final pixel size was the same 25 m as for the other bands with merging four pixels and with a spectral value that is an average of four pertinent pixels. The absolute values of the residuals in the model, i.e., eˆu and eˆv, typically range from 0.3 pixels to 0.6 pixels. Areas corresponding to the cloud-free parts of satellite images are used in operative applications. Forests under clouds and in cloud shadows are assumed to be similar on the average to those on the cloud-free part of the same areal unit (e.g., municipality).

3.1.2

Radiometric Correction by Means of Digital Elevation Model

The slope and aspect of the terrain locally change the illumination conditions of the surface and affect the reflectance from the ground and vegetation, as well as the radiance received by an imaging instrument. A digital elevation model can be employed to remove the variation of the spectral values caused by the changes in the slope and aspect of the terrain. The angle a between the sun illumination angle and terrain normal at the imaging time point is first calculated. Let us denote the azimuth of the sun from South to East by f and the angle from the zenith downwards by q. Let us denote the elevation of the neighbouring pixels of a pixel (i,j) as follows: West ei−1,j, East ei+1,j, South ei,j−1, and North ei, j+1. A unit vector towards sun illumination is (xs ,ys ,zs) = (sin(q)cos(f), sin(q)sin(f), cos(−q) ) and a unit vector parallel to terrain normal (xn ,yn ,zn) = (ix /s ,−iy /s ,2d/s), where ix = ei−1, j − ei−1, j , iy = ei, j−1 − ei, j+1, and s = ix2 + iy2 + 4 d 2 . A well known fact is that cos(a) = xnxs + ynys + znzs (e.g., Tomppo 1992). Let us suppose that the luminance of the light from the ground and vegetation, received by the satellite instrument, follows the Lambertian cosine law, i.e., that it is proportional to the cos(a). The normalised intensity of the light, In, normalised with respect to the slope and aspect variation is thus I n = I /cosn (a )

(3.2)

where I is the original intensity, and 0 < n £ 1. The power is needed because the Lambertian assumption does not hold for the ground and vegetation. The practical applications have shown that the value of 1 for n is too high. The same conclusion was made by Colby (1991). In practical

3.1 Image Rectification and Pre-processing of Data

37

applications, an iterative approach and, e.g., leave-one-out cross-validation, can be applied to minimize the mean standard error and bias. The value of the power n was selected on the basis of two different criteria. The first approximate range was determined to minimise the root mean square errors and biases of the volume predictions using field plot data and leave-one-out cross-validation. The final selection was validated by checking the distribution of the volume predictions of an entire target area against the value of a. An even distribution could be expected.

3.1.3

Preparation of Input Data Sets

Field measurement data, satellite images, different types of digital maps and large-area forest resource data are employed in the MS-NFI. The key input data file for the MS-NFI is the ground truth data. It consists of field plot data as well as image and map data associated to each plot. In southern Finland, those sample plots that were incorrectly located were removed from the ground truth data. In the latter part of the inventory in northern Finland, GPS was used to locate the sample plots and therefore plot removals were rarely necessary. Plots intersecting forestry land and other land classes were rejected if part of the plot located on water or fields, etc.. In these cases, due to rectification errors and map errors, the image intensities can be either from water only or from field only, causing confusion with respect to the ground truth data and thus the results. About 2–7% of the plots were excluded from the training data on the basis of these restrictions (Katila and Tomppo 2001). The aim was to choose the satellite images in such a way that the acquisition date was from the same growth season as the field measurements. However, approximately half of the images were not from the same year as the field data. Furthermore, the field measurement years might vary within one image coverage area partly due to the inventory design when inventory proceeded by forestry centres. Plots with accomplished clear cuttings between image acquisition and field measurement dates were therefore removed from the ground truth data. Two methods were employed to remove clear-cut plots. The first method employed field information of the development class, cutting type and time of the completed cuttings. The clear-cut plots were removed if the image acquisition date was earlier than the field measurements. The second method was used if the sample plots were clear cut after field measurements. These plots were identified by comparing the image intensity values of a pixel with the measured growing stock volumes in the field data (Tomppo 1996). The method was applied to those plots that were mature stands or thinning stands, and only for field plots that belonged entirely to one stand. Before removing the plots that were clear cut after field measurement they were sorted by intensity values and visually checked by plotting the identified plots on the satellite image. Plots covered by clouds or their shadows were also removed from ground truth data.

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In the image analysis (Fig. 3.1) the input data sets were (1) ground truth data, i.e., one record for each centre point plot and sub-plot and including for each plot part (1a) field data and (1b) satellite image data, (1c) digital map data, and (1d) other numeric feature data in text format, (2) a pre-processed satellite image, (3) a digital map of land classes and mire and open bog mask, (4) a digital elevation model and thereof derived image of the angle between terrain normal and sun illumination, (5) cloud and shadow delineation mask, (6) large-area forest resource data and (7) a map of computation units to calculate small-area estimates (Figs. 2.12, 3.2 and 3.3). The national uniform coordinate system was employed in the analysis. The sequential images from the same swath and all the other corresponding data sets were merged to be processed together.

Field measurements

Raw image data, e.g. Landsat TM

Data check & models

Processed field data with (X,Y,Z -coordinates)

Original digital map data, DEM and coarse scale forest variable maps

Preprocessing

Preprocessed image data with (X,Y)

Conversions

Digital map data in raster format with (X,Y,Z)

Prepared field data with spectral channel values and map data

k-NN estimation - selection of estimation parameters - weighting of features, genetic optimization

correction of map errors

possible re-estimation

Statistics and reliability assessments for large areas and groups of municipalities

Statistics for small areas

Thematic maps in digital and analog format

Validation Fig. 3.1 Data flow and computational scheme for multisource NFI.

3.1 Image Rectification and Pre-processing of Data

39

a Miscellaneous elements: Peatland; 1:100000/200000 Field; 1:50000 Houses; Civil Register Statistical urban area Road; main road Road; local road Water; satellite image Open built-up area; satellite image Other area Topo 1:5000/1:10000: Open bogs and fens Mires; forest growing Mires; peat depth < 30cm Water Field Abandoned field Garden Other built-up area Other area

b 0-24 m3 / ha 25-49 50-74 75-99 100-124 125-149 150-174 175-199 200-224 225-249 250-274 275-299 300 ->

Urban areas, houses Roads Arable land Other built-up areas Waters

c Fig. 3.2 Examples of the Landsat TM satellite image, multichannel colour composition of channels 2, 3, and 4 (a); the elements of digital land use map data, separate map data and topographic map database (b); and MS-NFI9 thematic map of total volume (m3/ha) with other land use map data (c). Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

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a

b

Fig. 3.3 Examples of digital elevation model (a) image of angle between the sun illumination angle and terrain normal at the image acquisition time point. Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

The land class map was employed to distinguish combined forest land, poorly productive forest land and unproductive forest land (MS-NFI forestry land) from the other land classes. In this analysis all the area which was not peat production area, built-up land, arable land, roads or waters in the numerical map was considered forestry land. A threshold was used with satellite images to delineate those waters which were not in the numerical map, e.g. land covered by high water or fish ponds, as described in Subsection 2.3.7. The numerical map data were not always up-todate and could contain significant errors. When computing the results for municipalities, the map errors were corrected based on one of the two methods presented in Subsection 3.2.5. The map errors of the thematic maps were not corrected.

3.2 Estimation

3.2 3.2.1

41

Estimation Field Data Based Estimation and Reliability Analysis

The estimation based on field data only is described first because the validation of the areal estimates is carried out by comparing the MS-NFI estimates with the estimates and error estimates based on field data only. The field inventory estimates and their standard errors for large regions and sub-regions (groups of municipalities) are useful when empirically assessing the systematic error of the MS-NFI estimates within a satellite image or some sub-area of it (Tomppo et al. 1998b; Katila et al. 2000). The MS-NFI estimates of, e.g. forestry land or forest land area, as well as mean and total volumes, can be combined to groups of municipalities and compared with the pure field data estimates in order to study any possible bias of the MS-NFI estimates. The area in question is divided into sub-areas with forest and other wooded land areas, ranging typically between 150,000 and 300,000 ha. This is a part of the operational product validation procedure. The comparisons for large regions are presented for Tables 1, 6a, 6b, 7a, 7b in Appendix 1. Due to the fact that the number of plot centres on land is a random variable (depending on the design), the area estimators are ratio estimators (Cochran 1977) n

∑y

i

as =

i =1 n

y A, x

A=

∑x

(3.3)

i

i =1

where as is the area estimate of the sub-class s, A the land area on the basis of the official statistics of the Finnish Land Survey (Suomen … 2003), yi is 1, when the centre point of the plot belongs to the stratum in question and 0 otherwise, xi is 1 when the centre point is on land and 0 otherwise, and n is the number of centre points on land (see Tomppo 2006a). Examples of land strata are forest land, spruce-dominated forest land and forest land thinned during the last 10 years. The mean volume (m3/ha) of a stratum is estimated using the formula n

ni

i =1

k =1

∑ ∑u

i,k

vs =

n

∑x

,

(3.4)

i

i =1

where vs is the estimate for the mean volume of a forestry land sub-class s, n is the number of centre points of plots on land in the region, ui,k is the mean volume represented by tree k in stratum S on plot i, ni is the number of trees in stratum S on plot i and xi is 1 if the centre of plot i belongs to stratum S and 0 otherwise.

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3 Methods

The total volume estimate is Vs = vsas ,

(3.5)

where aS is the estimate for the area of the stratum. The calculation of ui,k is described in Tomppo (2006a). The error estimation of the estimates of as, vs, Vs is also complicated by the spatial autocorrelation and possible trend-like changes of the target variables, in addition to systematic sampling. Matérn (1947, 1960) suggested the error variance, E(m-M)2, as a measure of accuracy of the estimator m. Here M is the unknown true value of the parameter. Matérn also proposed an estimator of the error variance. The estimator is applied to field plot cluster level aggregates. The application of the method is described in Heikkinen (2006). Consider the cluster-wise residuals Zr = xr – myr ,

(3.6)

where xr = ∑ xi and yr = ∑ yi with r a cluster of field plots i, and assume that the i ∈r

i ∈r

residuals form a realisation of a second order stationary (weakly stationary) stochastic process. Here m stands for a and v in Formulas (3.3 and 3.4). The variance of the process can be estimated by means of quadratic forms of the residuals. The method is applied by sample plot density regions as follows. Within each stratum, groups g of four field plot clusters r3 r4 r1 r2 are composed in such a way that each cluster belongs to four different groups; a cluster being in turn lower right, lower left, upper right and upper left member of a group of four clusters (with necessary boundary modifications). An example of the quadratic forms, as employed in the Finnish NFI, is Tg = (zr1 − zr2 − zr3 + zr4)2/4. The standard error estimator (the square root of the error variance estimator) for each stratum is k

∑ Tg g

s=

∑y

(3.7)

i

i

where g refers to the groups of clusters in the stratum, i refers to the relevant sample plots in the stratum, and k indicates how many clusters each cluster group represents (in this case, k = 1). The standard error estimators for the entire study area can be obtained by combining the stratum-specific estimators with the usual formula for stratified sampling (e.g., Cochran 1977).

3.2 Estimation

43

The above procedure is relevant for strata having high enough number of field plot clusters, preferably several tens. Exact tests can be used if the stratum is very small.

3.2.2

The Basic k-NN Estimation Method

The basic non-parametric k-NN estimation was employed in the MS-NFI calculation during NFI8, and also at the beginning of NFI9. The basic principles of the k-NN method are first described. First, recall that each field plot has a certain area representatives, a plot weight sometimes called the plot expansion factor when forest inventory estimates are computed from pure field data. This plot weight can be the total land area divided by the number of field plots on land if either systematic or systematic cluster sampling is employed (Kuusela and Salminen 1969; Tomppo 2006a). In the MS-NFI, new plot weights (Formulas 3.12 and 3.13) (not equal for each plot) are computed for each plot by computation units, e.g. by municipalities (Tomppo 1996). The weights (Formulas 3.12 and 3.13) are computed for each field sample plot i ∈ F, where F is the set of field plots belonging to forestry land. These plot weights are sums of satellite image pixel weights over the forestry land mask pixels of the computation unit. The pixel weights (Formula 3.9), in turn, are computed by a non-parametric k-NN estimation method (Tomppo 1991, 1996). The method utilises the distance metric d, defined in the feature space of the satellite image data. The k nearest field plot pixels pi (in terms of d), i.e., pixels that cover the centre of a field plot i Î F, are sought for each pixel p under the forestry land mask of the cloud free satellite image area. A maximum geographical distance is usually set in both horizontal and vertical directions in order to avoid selecting the nearest plots (spectrally similar plots) from a region in which the response of image variables to field variables is not equal to that of the pixel under consideration. This is necessary due to the fact that the mapping from field data to spectral data is not a bijection in a large area. One reason for this is that the dependence structure between field variables and image variables may vary between the vegetation zones and also between image sub-areas. Further, stratification on the basis of soil information is also made for the same reason (Katila and Tomppo 2001). The feasible set of nearest neighbours for pixel p is thus ( x,y ) z { pi | d p( x, p, yi ) ≤ dmax , d zp, pi ≤ dmax , R( pi ) = R( p)}

(3.8)

(x,y) where dp,pi is the geographical horizontal distance from pixel p to pixel pi , d z is the z (x,y) distance in the vertical direction, dmax and d max are their maximum allowed values, and R(p) is the indicator function of land class, mineral soil/peatland soil if the calibration is employed for map error correction, and all land classes if stratification method is employed for map error correction (Subsection 3.2.5) (Tomppo 1990, 1991, 1996, 2006b; Katila and Tomppo 2001).

44

3 Methods

Denote the k nearest feasible field plots by i1(p),…,ik(p). The weight wi,p of field plot i to pixel p is defined as wi , p =

1 d pt i , p

1 , if and only if i ∈{ i1 ( p), ..., ik ( p)} t d j ∈{i1 ( p ),...ik ( p )} pj , p

∑

(3.9)

= 0 otherwise. The distance weighting power t is a real number, usually t Î [0,2]. A small quantity, greater to zero, is added to d when d = 0 and i Î {i1(p),…,ik(p)}. The distance metric d in the operative MS-NFI8 and in the areas of Forestry Centres KeskiSuomi and Pohjois-Savo in 1996 was nc

d p2 j , p = ∑ ( fl , p j − fl , p )2 ,

(3.10)

fl,p j = f 0 l,p j / cosr (a )

(3.11)

l =1

where

is the normalised intensity value of the spectral band (or feature) l. The normalising is done on the basis of the slope and aspect variation, f 0l, p is the original intensity of the spectral band l, a the angle between terrain normal and sun illumination, r the applied power due to non-Lambertian surface and nc the number of spectral features (Tomppo 1992) (Subsection 3.1.2). Only original spectral bands with equal weights (=1) were employed in the old operative k-NN approach. For computing forest parameter estimates for computation units, sums of field plot weights to pixels, wi,p are calculated by computation units, for example, by municipalities, and by map stratum h over the pixels belonging to the unit u. An example of stratum is mineral soil forestry land. The weight of plot i in stratum h to computation unit u is denoted j

ci ,h,u =

∑w

i, p

.

p ∈uh

(3.12)

Reduced weight sums cir,h,u are obtained from the Formula (3.12), if clouds or their shadows cover a part of the area of the computation unit u. The real weight sum for plot i is estimated by means of the formula ^

ci ,h,u = cir,h,u

Ah ,u

(3.13)

^r

A

h ,u

where Âh,u = the estimate of the area of the forestry land of unit u on map stratum h, and

3.2 Estimation

45

Ârh,u = the estimate of the area of the forestry land of unit u on map stratum h not covered by the cloud mask. The areas can be taken from digital maps. It is thus assumed that the forestry land covered by clouds per computation units is, on average, similar to the rest of the forestry land in unit u with respect to the forest variables (cf. Tomppo and Halme 2004). The weights 3.12 and 3.13 are computed within forestry land separately for mineral soil stratum and peatland stratum. The weights are also computed to other land classes, arable land, built-up land, roads and waters if the stratification based map correction method is employed (Katila and Tomppo 2002). These weights are also required for the other map correction method, which is based on statistical calibration and a confusion matrix, when reducing the effect of the map errors on the estimates (Katila et al. 2000). After the final field plot weights to computation units (ci,h,u) have been calculated, the ratio estimation is employed to obtain the small-area estimates (e.g., Cochran 1977). In this way, the estimation is similar to that using field plot data only. Volume estimates, e.g., are computed by computation unit u and timber assortment (log product) s in the following way. The mean volume vl,s of the log product s for field data based sub-class l are estimated by the formula vˆ l,s =

∑ ∑ i∈I c ∑ ∑ i∈I

v

i,h,u i,h,s

h

l,h

h

ci,h,u

(3.14)

l,h

where vi,h,s is the volume per hectare of timber assortment s for plot i for the part belonging to sub-class l in field data and map stratum h and Il,h the set of field plots belonging to field sub-class l and map stratum h. The corresponding total volumes are obtained by replacing the denominator in Formula (3.14) by 1. Biomass estimates for energy wood were calculated in a similar way. More precisely, the weight wi,p of the plot i is shared between the (possible) plot parts in the proportions of the estimated areas of the plot parts. The total weight of a field plot part il (belonging to map stratum h), i Î Il,h, to land class (or forestry land subclass) l for municipality U is therefore cil ,h,u = aail ∑ wi , p . p∈uh

(3.15)

where a is the area of a pixel and ai is the share of field plot i belonging to field land class (or forestry land subclass) l with l

∑a l

il

=1.

Mean and total volume increments could be similarly estimated. However, the increments predicted for tally trees are average increments by computation strata,

46

3 Methods

i.e., by tree species, diameter class and site factor classes over increment computation regions. These regions are usually so large that the within-region variation in growth factors is high, the constant predictions do not therefore correspond to the real variation between the MS-NFI computation units (municipalities). The increment estimates are therefore not usually made in MS-NFI. Predictions of some (optional) forest variables are written in the form of a digital map during the procedure. The land classes outside forestry land are transferred to map form predictions directly from the digital map file. Within forestry land, the variables are predicted by the weighted averages of the k nearest neighbours (Tomppo 1991, 1996). A pixel-level prediction y~p, of variable Y for pixel p is defined as y p = ∑

wi , p yi ,

i ∈I h

(3.16)

where yi is the value of the variable Y on plot i. Figure 3.4 demonstrates the basic principle of k-NN method for map production with k=2. The mode or median value is used instead of the weighted average for categorical variables. The predicted variables are usually land class, site fertility class, stand age, mean diameter of stand, mean height of stand, and volumes by tree species (pine, spruce, birch, other broad leaved trees) and by timber assortment classes. The total number of the maps is therefore over 20. An example of an output map from MS-NFI9 is shown in Fig. 3.2c.

Fig. 3.4 A simplified demonstration of the k-nn method with k = 2.

3.2 Estimation

3.2.3

47

The Improved k-NN (ik-NN) Method, Use of Coarse Scale Forest Variable Estimates and Genetic Algorithm in the Distance Metric

One of the main problems in practical applications of the k-NN method is how to select the sub-area and sub-set of the field plots from which the potential nearest neighbours are sought for each pixel. Another problem is the selection of the spectral features of the distance metric employed in order to obtain the smallest possible errors. These problems were studied by Tomppo and Halme (2004) who introduced an improved k-NN method (ik-NN). The method is now summarised. The overall aim of the ik-NN method is to minimize the errors of the predictions of the multi-source inventory. The goal was to reduce the errors both at the pixel level, and particularly, at the larger area level (from several tens of thousands of hectares up to several millions of hectares). Two modifications of the k-NN estimation method were introduced: 1. The use of supplementary ancillary variables in addition to spectral data in selecting neighbours. 2. The use of ‘optimal’ weights for both the image features and ancillary information. A vector consisting of these elements is called a vector of explanatory variable weights and denoted by w. A method was developed to utilise ancillary data and to find the optimal explanatory variable weights. As for the first modification, to restrict the complexity of the problem, a few core variables were selected and the estimates of these variables were studied. The volumes by tree species were selected as the variables. Tests with age-class distributions and also earlier experiments showed that the errors of the predictions of other variables are reduced when the errors of the predictions of volumes by tree species are reduced (Tomppo et al. 1998b). The optimization was carried out solely at the pixel level. It was hoped, and later checked, that larger area errors decreased with the optimized weights. This was considered to be the ultimate check of goodness of the procedure. A weighted sum of pixel level biases and root mean square errors (RMSE) of the predictions of some key variables was selected as the objective function. The weights are called fitness function weights and weight vector denoted by g (Formula 3.17). The key variables employed were selected in such a way that they indicate also the coarse scale variation of the other important variables and were: (1) total volume, (2) volume of pine, (3) volume of spruce, (4) volume of birch and (5) volume of other broad leaved tree species. The biases and RMSEs of these variables have also been used in the operative applications of the method. The fitness (objective) function to be minimized with respect to w is: ne

ne

j =1

j =1

f (w , g , δˆ , eˆ ) = ∑ g j sˆ j (w ) + ∑ g j + ne eˆ j (w )

(3.17)

48

3 Methods

where g > 0 are user defined coefficients for pixel level standard errors sˆj and biases eˆj for forest variable j, ne the number of the coarse scale variables and w is the weight vector to be estimated (Formula 3.18). Denote the feasible set of weight vectors by W. The pixel-level errors and biases of multi-source inventory (k-NN) estimates are σˆ m =

∑

i ∈F

(yˆi − yi )2 nF

and bias

^

e =

∑

i ∈F

(yˆi − yi ) nF

where yi is the observed value of the variable to be estimated (e.g., total volume), y^i its estimate on the plot i and nF the number of the field plots. The fitness function weights, bias weights and RMSE weights, were experimentally given values and then fixed. This weighted sum was the criterion in the search for good weight vectors for image features and ancillary information. The computation of the large-area predictions of the forest variables for even one weight vector is an extremely computer intensive task. The pixel-level objective function (Formula 3.17) has to be considered as a proxy for the real objective, which is a major source of imprecision in the optimization process. Other sources of imprecision are the choices of variables and fitness function weights and the non-optimality of the optimization result. Note that the explanatory variable weights (w) are sought in such a way that the prediction of the selected variables, in this case volumes, is optimized. Note also that the Landsat pixel measures information from an area that is larger than the size of a field plot (e.g., Halme and Tomppo 2001). This discrepancy is interpreted as a measurement error: a large one in the case of satellite images. It was decided to seek the weight vector using only field plots sufficiently far from the nearest stand boundary or land class boundary to reduce this error. A minimum distance of 20 m was used. A further source of error is the location of a field plot with respect to the satellite image pixel, which also motivates this decision. It is important to note that the final large-area and municipality-group level estimates and error validation are calculated in operative applications using all NFI field plots and weights obtained from optimization with plots with at least 20 m apart from the nearest stand boundary. The predictions and their standard errors computed from field data only are employed in validating all multi-source predictions in areas ranging from several hundreds of thousand hectares to several million hectares. This is due to the fact that multi-source error estimation for areas larger than a pixel (field plot) is complicated and the solution is yet to be found. Satisfactory predictions for groups of municipalities (at the level of several hundreds of thousand hectares) and at a pixel level are assumed to be satisfactory also at the level of a few thousand and some tens of thousands of hectares. A new distance metric was proposed in Tomppo and Halme (2004). Two types of new elements of the distance vector were introduced (1) the transformations of the spectral bands, (2) the coarse scale forest variable predictions of some key forest variables (Formula 3.18), called also the ancillary variables. All possible ratios of spectral bands were used. It was hoped that band ratios would better distinguish

3.2 Estimation

49

between different tree species, e.g., pine and spruce, than the original bands. The use of large-area forest variables as additional elements direct the selection of the nearest neighbours to forests similar to the target pixel (cf. Fig. 2.12). All elements were finally weighted. The employed distance metric was thus (and has also been in the operative MS-NFI) nf

ng

l =1

l =1

d p2 j , p = ∑ w l , f 2 ( fl , p j − fl , p )2 + ∑ w l ,g 2 ( gl , p j − gl , p )2

(3.18)

where fl,p is the lth image variable, gl,p the large area prediction of the lth applied forest variable, nf the number of image variables (or features), ng the number of coarse scale forest variables and wf and wg the weight vectors for image features and coarse scale forest variables respectively. A pixel size of 1 × 1 km is used in the coarse scale forest variable predictions gl,p. (Note the different pixel size for large area forest variables and satellite image data.) The values of the elements of the weight vector to be estimated are derived from optimization employing a genetic algorithm as given below. The first phase of ik-NN is to run the optimization algorithm, in the applications possibly by strata, e.g., mineral soil stratum and mire and bog stratum. The estimation after that returns to the basic k-NN estimation. 3.2.3.1

Simplified Sketch of the Genetic Algorithm

A genetic type algorithm was selected due to the complexity of the optimization problem and because the optimization problem may have several local optima. The method noticeably reduces the errors both at the pixel level and over areas of some thousand square kilometres, as well as in larger areas. Genetic algorithms that imitate the behaviour of genes are currently used to solve difficult optimization problems such as combinatorial problems, but they are also popular for modelling economic and ecologic phenomena and machine learning (see e.g. Mitchell 1996). Genetic algorithms often produce good results for problems that are hard to solve. Normally, they also require a considerable amount of adjustment to fit the algorithm in the problem. The following outline of the algorithm serves two purposes: it illustrates the principles of a genetic algorithm in general and, moreover, the version presented is similar to the genetic algorithm employed in MS-NFI9. For more information about the genetic algorithm schemes (see e.g., Mitchell 1996; see also Tomppo and Halme 2004). The elements and operators of genetic algorithms originate from biology. The candidate solution vector is called a chromosome and its goodness is called its fitness. A group of chromosomes is called a population. One population is one generation. The operators are: selection of chromosomes (the criterion being their fitness), the

50

3 Methods

crossover of chromosomes producing new offspring and the random mutation of new offspring. The following presentation does not include all features of the algorithm employed in MS-NFI9. A more detailed version is presented in Tomppo and Halme (2004). In a genetic algorithm, the value of the objective function for a trial solution is called the solution’s fitness value. The key parameters of the algorithm are: ngen = number of generations npop = number of weight vectors in one population and number of vectors in the medipopulation (does not have to be the same) pu = probability used in uniform crossover pc = probability of accepting an inferior solution created by mutation pm = mutation probability prm = radical mutation probability pt1 = probability 1 in selection pt2 = probability 2 in selection The definitions of the parameters are given in the following simplified sketch (from Tomppo and Halme 2004). 1. Initialisation. Generate the initial population with npop random weight vectors. Calculate their fitness values (3.17). Set the generation count to 1. 2. Selection. In this step, a medipopulation (an intermediate group of weight vectors between two populations) is formed. Choose from the population two weight vectors (e.g., randomly or successive at some points) the fitness values of which are compared. Only the more fit one is chosen to be a member of the medipopulation with a probability pt1. Only the less fit one is chosen to be member with probability 1−pt1− pt2. They are both members with probability pt2. Repeat until the medipopulation consists of npop vectors. Note that several copies of vectors may occur. 3. Crossover. In this step, a new population is formed. With two successive vectors of the medipopulation a and b (parent vectors) carry out uniform crossover to produce two offspring c and d. That means with probability pu the kth element (k = 1, …, n) of c (d) comes from a (b) and (1 − pu) from b (a); Pick the vector having the best fitness in the set, consisting of both offspring and parents, to be member of the next population. Repeat until the population consists of npop vectors. Increase the generation count by 1. If the count is equal to ngen stop. 4. Mutation. In this step, the weight vectors in the new population are possibly mutated. In each vector of the population, each element is mutated with a probability pm. Two kinds of mutations can occur: radical (probability prm) (the element is subtracted from 1) or nonradical (the element is changed by +−20%). The mutated vector replaces the original vector as a member of the population if its fitness is better than the original vector’s. If its fitness is less than that of the original vector, it replaces the original vector as a member of the next population with probability

3.2 Estimation

51

pc and with probability 1 − pc the original vector remains a member of the population. Go to 2. An element changes by −+20% if nonradical mutation takes place. This percentage was observed to perform well.

3.2.3.2

The Application of the Algorithm

The practical solutions in applying the genetic algorithm are now described. The optimization problem to be solved is, which distance metric gives the lowest value for a linear combination of the RMSEs and biases. An ‘optimal’ weight vector for the elements of the distance metric has to be sought. Fix in the following the vector g > 0 (Formula 3.17). The objective function can therefore be denoted f(w,sˆ, e-ˆ). The objective as a function of w is not continuous. After numerous experimental runs, upper bounds were introduced for the elements of the weight vector. This was because the objective seemed to be unexpectedly flat, providing a huge number of “equally good or almost equally good” solutions. No meaningful losses in the objective function optimal values were observed due to the bounds (Tomppo and Halme 2004, see Tables 2 and 3). The set of feasible weight vectors W fulfils thus the condition n ⎫⎪ ⎧⎪ W = ⎨w ∈ Rn+ , 0 ≤ w j ≤ uppe j , j = 1,..., n, ∑ w j = 1⎬ ,where uppej = upper bound ⎪⎭ j =1 ⎩⎪

for the weight for variable j. The values of the vector g (Formula 3.17) were sought at the beginning and finally fixed at g = (0.3, 0.6, 0.6, 0.2, 0.1, 0.5, 1, 1, 0.2, 0.1). The first five elements are the coefficients of the estimates of the standard errors sˆj and the rest are those of the estimates of the biases e-ˆj, of volume of all tree species, volumes of pine, spruce, birch and other broad leaved tree species respectively cf. Formula (3.17). In the fitness function, the biases were given weights larger than the standard errors and the biases of pine and spruce were given especially large weights. The aim was to reduce the biases of the corresponding estimates both at pixel level and for large areas because of the problems in distinguishing between pine and spruce volumes in some areas. The values of parameters that worked successfully, were: npop = 50 ngen = 30–80 pu = 0.75 pm = 0.05 prm = 0.35 pc = 0.5 pt1 = 0.95 pt2 = 0.03 These values seem to work well for all multi-source data sets and have been applied in the operative MS-NFI since the implementation of the method.

52

3 Methods

3.2.4 Selecting Estimation Parameters and Their Values for k-NN The basic principle of k-NN estimation is straightforward. However, practice has shown that the predictions and estimation errors depend to a large extent on the core estimation parameters of the k-NN algorithm. These are: 1. the variables employed in the distance metric, spectral bands or their transformations, possible correction for variation in illumination angle of the pixel based on elevation variation (slope, aspect) (Tomppo 1996) 2. the distance metric (Tomppo and Halme 2004) 3. the value of k (Katila and Tomppo 2001) 4. the weights to be attached to the nearest neighbours, e.g., even weights or functions of the applied distance and powers (negative) 5. the variables applied in restricting the area from which the nearest neighbours are sought for a pixel, e.g., a geographical reference area (Katila and Tomppo 2001) 6. the use of additional information, e.g., large area variation of forest variables in the distance metric (Tomppo and Halme 2004) 7. the use of ancillary data in the estimation, e.g., for stratification. The parameters and their values in MS-NFI9 are given in Table 3.1. The parameters are selected by image scene and the selection is documented. The criteria are the mean square error and bias of pixel level predictions using leave-one-out cross validation, and particularly, the difference between areal estimates based on (i) multi-source inventory and (ii) on the field data based estimates and their standard errors, see Subsection 3.2.1. The differences of the areal estimates are assessed in terms of standard error based on the field data plots (e.g., Katila and Tomppo 2002; Tomppo and Halme 2004). The values of the parameters usually vary by images depending, e.g., on imaging conditions, number of available field plots and variability of forests. The selections are not independent. A change in one parameter affects the ‘optimal value’ of the other parameter. More studies are needed to ‘optimize’ the values simultaneously.

Table 3.1 Applied ik-NN and k-NN estimation parameters employed in MS-NFI9. Parameter Choice Variables applied in the distance metric

Distance metric Value of k Weights attached to the nearest neighbours Restrictions for search of nearest neighbours

Illumination corrected spectral values for satellite image bands (Landsat TM 1-5, 7; Landsat 7 ETM+ 1-7, Pan; IRS-1 D LISS 1-4) and large area forest variable estimates Weighted Euclidean distance 5–10 Weights proportional to the inverse or inverse squared distance (t = 1 or 2) A maximum vertical (100 m or more in Northern Finland) and horizontal reference area (HRA) (40–120 km), since NFI9 large area forest variable maps are used to direct the NN selection, possibly with a HRA limit

3.2 Estimation

3.2.5

53

Area and Volume Estimates – Stratification, Correction for Map Errors

In the multi-source estimation, numerical map data (see Section 2.3) are employed to decrease estimation errors. If the numerical map data would be error free, k-NN predictions (3.16) and the weights (3.12) and (3.13) could be calculated using pixels belonging to forestry land only. Forestry land consists of forest land, poorly productive forest land and unproductive forest land (Subsection 3.1.3). However, map data can be out-of-date and include location errors. Furthermore, the applied land class definitions of the map data do not correspond exactly to the definitions of NFI. Errors can also arise during the post-processing of map data, e.g. when rasterizing narrow map themes such as linear formations, to coarse-resolution raster images. Two methods have been introduced to reduce the effect of map errors on small-area multi-source forest resource estimates: a statistical calibration method (Katila et al. 2000) and k-NN estimation by strata (Katila and Tomppo 2002) (Fig. 3.5).

3.2.5.1

Calibrated MS-NFI Estimators

The calibration method is based on the confusion matrix between land classes of the field sample plot data and the corresponding map information. The bias in the land class or other total cover estimates, obtained, e.g., from remote sensing or map data, can be corrected by means of the error probabilities expressed as a confusion matrix (Czaplewski and Catts 1992; Walsh and Burk 1993), assuming that the employed field sample are based on a statistical sampling design (Card 1982). Although the quality of the map data varies by regions and by map themes, it is often possible to define the areal map strata in such a way that each stratum is reasonably homogeneous Original MS-NFI

Calibrated MS-NFI map stratum h

map stratum h FRYL

field LU clas l

FRYL

non-FRYL

field LU clas l

FRYL

non-FRYL

non-FRYL

FRYL non-FRYL

MS-NFI by strata map stratum h FRYL

field LU clas l

FRYL

non-FRYL

non-FRYL

Map strata for estimation Field plot sample for estimation Calibration

Fig. 3.5 Training data selection and map strata in the estimation in three different MS-NFI versions.

54

3 Methods

with respect to the map errors and the land class distribution. This enables the use of the synthetic small-area estimation method when correcting map errors (Rao 2003). The method utilises the error and land class proportions that have been estimated from a larger region. The stratification employed is given in Table 2.6. An inverse calibration method is used to correct for map errors in the MS-NFI smallarea estimates utilising the field data from large area, e.g. forestry centre, R in which small area u belongs. The proportion of field data based land class l within each map stratum is first estimated by the corresponding plot count ratio: n Pˆh,l = h,l nh

(3.19)

computed over the entire forestry centre (Table 3.2). Here, nh,l is the number of field plots belonging to map strata h and land class l, nh is the number of field plots belonging to map strata h. The calibrated area estimator is obtained by summing the corresponding proportions of municipality level stratum areas: Au*,l = ∑ Pˆh,l Au,h ,

(3.20)

h

where Au,h is the area of map stratum h in a particular municipality u. The aggregate of small-area estimates over forestry centre R is equal to the unbiased poststratification estimator (Katila et al. 2000; Katila 2006a). Map errors, that is, errors in the areas of forestry land on map data, affect the MS-NFI estimates at the municipality level. The sum of field plot weights over a computation unit is equal to the area of forestry land based on map data (Subsection 3.2.2). The calibration of these weights for the map errors is not an easy task Table 3.2 Distribution of land classes among field plots by map strata in a subregion of HämeUusimaa forestry centre in Southern Finland (municipalities 398, 560, 98, 504, 18, 15, 611, 283, 401, 855, 83, 86, see Appendix 1). Land class l Roads Built-up etc. powerlines

Water

(nh,l)

(%)

(%) (nh,l) (%)

Forestry land Arable

Total

Stratum (h) (%)

(nh,l) (%)

Forestry land Arable Buildings, urban Roads Other built-up Water Total

92.0

845

2.5

23

4.2

39

0.7

6

0.7

6

100.00

919

2.3 32.4

8 11

96.8 5.9

332 2

0.9 52.9

3 18

0.0 8.8

0 3

0.0 0.0

0 0

100.00 100.00

343 34

31.4 25.0

22 1

20.0 25.0

14 1

20.0 50.0

14 2

28.6 0.0

20 0

0.0 0.0

0 0

100.00 100.00

70 4

0.0 60.5

0 887

0.0 25.4

0 372

1.0 5.3

1 77

0.0 2.0

0 29

(nh,l) (%)

(nh,l)

99.0 95 6.9 101

(nh,l)

100.00 96 100.00 1,466

3.2 Estimation

55

because non-forestry land field plots are not employed in the MS-NFI estimation procedures and because the map strata do not correspond exactly to the NFI land classes. A heuristically derived method for calibrating the field plot weights was proposed by Katila et al. (2000), in which the sum of the calibrated weights for computation unit u is equal to the calibrated forestry land area estimator A*u,FRYL. There are two types of error attributable to map errors (Fig. 3.6). First, the effect on the estimates by pixels that are falsely classified as forestry land on the basis of the map data must be eliminated (type (i) error, Fig. 3.6). The contribution of each non-forestry land class l is estimated from the proportion given by the confusion matrix (Formula 3.19) and the area of the forestry land (FRYL) stratum is PˆFRYL ,l Au, FRYL = PˆFRYL ,l ∑ ci ,u , i

(3.21)

where ci,u is the weight (area) of plot i to the FRYL stratum of computation unit u (Formula 3.12). There is no direct way to reliably estimate the field plot weights wi,p for a forestry land stratum pixel p on map which pixel actually belongs to land class l. An assumption is made that the spectral vectors of those pixels are on the average similar to the spectral vectors of the pixels of those map strata which best represent NFI land class l, e.g., the spectral vectors of the pixels on the arable land map stratum are on the average similar to the spectral vector of the NFI arable land class. The union of the map strata that represents land class l is denoted by h(l). The pixel weights wi,p of the field plots are calculated for all pixels p within these strata in the same way (using the k-NN technique) as for the pixels within the forestry

Fig. 3.6 Two types of map error in small-area estimates.

56

3 Methods

land stratum in the ordinary MS-NFI (Subsection 3.2.2). The average weight of a field plot on pixels whose actual land class is l is then estimated by wi ,uh( l ) =

ci ,uh ( l )

∑c

.

(3.22)

i ,uh ( l )

i

To account for map errors in the other direction (type (ii) error, Fig. 3.6), that is, for pixels in the non-forestry land map strata which actually belong to forestry land, it is assumed that in each computation unit they are on average similar to the pixels in the forestry land stratum of that unit. This requires the scaling up of the downward-calibrated weights by the area correction factor Au*,FRYL

Au*FRYL ,FRYL =

∑

( Pˆ h,FRYL ∑ i ci ,uh ( l ) ) PˆFRYL ,FRYL ∑ ci ,u h

(3.23)

i

where the nominator A*u,FRYL,is the calibrated small-area estimate for FRYL and the denominator A*uFRYL,FRYL the calibrated FRYL area for the FRYL stratum alone. As a result, the calibrated weights are c*i,u =

* Au,FRYL Au*FRYL ,FRYL

⎛ ⎞ ⎜⎝ ci,u − ∑ PFRYL,l Au,FRYL wi,uh (l)⎟⎠ . l ≠ FRYL

(3.24)

It should be noted that although these weights add up to A*u,FRYL, non-negative values of an individual weight are not guaranteed. The calibration typically increases the mean volume estimates and reduces the forestry land area estimates for small areas if forestry land is overrepresented on maps (Fig. 3.7).

3.2.5.2

Stratified MS-NFI

Despite the quite simple idea of the calibration method, it is rather laborious when employed in the operative MS-NFI. Another method, called stratified MS-NFI, has therefore been introduced to reduce the effect of inaccurate map data on the forest resource estimates (Katila and Tomppo 2001). In this method, the k-NN estimation is applied to each strata. Consequently, the k-NN parameters must be selected for each stratum separately, aiming at precise and unbiased predictions of forestry land area and total volume by strata. All the field plots within each map stratum, independently of the NFI land class, are employed in the k-NN estimation for the pixels of the particular stratum. In short, both field plot data and satellite image data are stratified for estimation on the basis of map data. The area estimation with pure field data utilises the information from the centre points of the field plots only,

3.2 Estimation

57

Fig. 3.7 Percent differences between calibrated and uncalibrated MS-NFI estimates for each municipality plotted against the uncalibrated estimates, mean volume (m3/ha), subregion of Häme-Uusimaa forestry centre in southern Finland.

while the volume estimation uses information from the whole plot (Tomppo 2006a). The MS-NFI utilises all parts of the plots, for both area and volume estimations. In the original and calibrated MS-NFI, only those field plots are used that completely fall within forestry land. The stratified MS-NFI method has the advantage of including all the sample plots within a stratum in the training data. In this sense it resembles the field inventory estimation. The final estimates for the stratified MS-NFI are derived by combining the stratum-wise estimates using Equation 3.14. The strata employed were formed so as to be as homogeneous as possible with respect to the NFI based land classes. However, the number of strata was restricted by the fact that there should be a sufficient number of field plots for the k-NN estimation (Table 3.3). The aim of the method was to obtain simultaneously the forestry land area estimate and accurate forest variable estimates within each stratum. The stratified MS-NFI is essentially a different estimation method compared to the calibrated MS-NFI in which the MS-NFI estimates are more or less calibrated systematically upwards or downwards (Katila and Tomppo 2001). The stratified MS-NFI results were more balanced than those from the calibrated MS-NFI in Katila and Tomppo (2001). However, in the operative MS-NFI9, the method that yielded the most accurate small-area results varied between regions.

58

3 Methods Table 3.3 Map stratification principally used in stratified k-NN estimation Code (h) Stratum 1 2 3 4 5

3.2.5.3

Forestry land, mineral soils Forestry land, peatlands Arable land Built-up areas and roads Water

Calibration of the MS-NFI Municipality Estimates to the Official Land Areas

The MS-NFI employs a 1:100,000 digital database for municipality boundaries, while the field inventory employs land and water areas from official statistics of the Finnish Land Survey (Suomen … 2006). The area information from the latter data source is more accurate and slight differences between the total areas of municipalities from these two data sources have been discovered. Therefore, after the correction of map errors using calibration or stratified k-NN, the MS-NFI municipality land areas are calibrated to the official land areas. The calibration coefficient is straightforward AU,Land_NLS / A*U,Land and this ratio is assumed to also hold for forestry land and the (calibrated or stratified) weights ci,U are multiplied by this coefficient. For the calibrated MS-NFI, the calibrated land area A*U,Land must be first estimated using Formula 3.20. The calibration to the official land areas is valid only for (random) deviations between the two data sets and not for the case where real and significant boundary changes between municipalities have taken place in either of the two data source.

3.2.6

Assessing the Errors – Current and Potential Methods

This subsection summarises the current methods employed in assessing the reliability of the pixel level predictions and the estimates for a group of pixels. Some recent efforts to derive error estimators for an arbitrary group of pixels are also described. The error estimators are presented as examples of the approaches for potential operative error estimators although they are not yet employed n the operative Finnish MS-NFI. Deriving this type of error estimator has proven to be a challenging task. The problem can be divided into the derivation of (i) an error estimator for a pixel level prediction and (ii) an error estimator for a parameter for an area of interest. Difficulties arise because: 1. Errors depend on the actual value of the variable to be predicted and so pixellevel errors are spatially dependent. 2. The variables measured or observed on the field plots are also spatially dependent. 3. The spectral values of adjacent pixels of a satellite image are dependent due to the atmospheric properties (scattering) and imaging technique.

3.2 Estimation

59

Furthermore, several error sources make the error estimation complex, examples of such error sources are given in Chapter 5. 3.2.6.1

The Current Methods in Assessing the Reliability of the Results

To obtain an idea of the level of errors in the Finnish MS-NFI, the pixel-level root mean square error (RMSE) and the pixel level average bias using leave-one-out cross-validation (Subsection 3.2.3) are calculated. For a sufficiently large area consisting of a group of pixels, the MS-NFI estimates are compared to the estimates and error estimates based solely on field data (Subsection 3.2.1). Some empirical error estimates are also available for reliability assessments (Katila 2006b; Tomppo et al. 2008). Pixel-level error estimation is usually employed in the Finnish MS-NFI when selecting the estimation parameters for k-NN or ik-NN, as described in Subsection 3.2.4. Standard error estimates for groups of pixels are calculated as described in Subsection 3.2.1, see Formula (3.7). 3.2.6.2

Model-Based Error Estimation

Although that the pixel level RMSE has been estimated using leave-one-out cross-validation in many k-NN papers, it does not accommodate any of the dependencies listed above, and is not a direct measure of the standard error for a prediction (Kim and Tomppo 2006). Furthermore, if the variation of a variable on the field plots does not cover all the variation of the variable in an area of interest (AOI), the leave-one-out RMSE results in an underestimate for the pixel level error. ˆ of the parameter The direct statistical squared error estimate for an estimate M M is the mean square error (MSE) − M )2 , E( M

(3.25a)

and similarly for the prediction y~(xi) of the variable y(xi) the MSE is E( y (x i ) − y(x i ))2 .

(3.25b)

Accommodating the spatial dependencies into the estimators of (3.25a) and (3.25b) requires a model-based approach where the observed value yi of pixel i is considered to be a realisation of a random variable. For example, it can be assumed that yi is a realisation of the distribution of all possible realisations associated with the same covariate data vector, xi, e.g., satellite image data vector. The pixel level mean and variance of the distribution are denoted by mi, and si2, respectively. The realization, yi, can be expressed as, yi = mi + ε i

(3.26)

60

3 Methods

where E(ei) = 0, Var(ei) = si2 (cf. McRoberts et al. 2007). Note that the deviations ei are spatially correlated. A Model-Based Error Estimation at a Pixel Level ˆ and y~(x ) in (3.25) are unbiased estimators for M and y(x ) respectively, MSE’s When M j i (3.25a) and (3.25b) are identical to the error variances, thus, e.g. (3.25b) is equal to Var( y (x j ) − y(x j ))

(3.27)

Kim and Tomppo (2006) proposed a model-based estimator for the error variance of the pixel-level predictions (3.16) when the weight w is the inverse of the squared Euclidean distance. The error variance was expressed as a function of the distances in the feature space and a variogram. An interesting detail of this approach is that the variance estimator was based on the variogram in the covariate space, e.g., satellite image feature space, not in the geographical space as often is the case. Let us denote the distance in the feature space from the target pixel o to pixel i by dOi, i.e., distance (3.10) or (3.18), the variogram in the covariate space by g, and the covariate vector associated to pixel i by xi. The variance (3.27) can then be presented as (Kim and Tomppo 2006) Var( y (x o ) − y(x o )) = − ∑ ∑ ( i

j

doj−2 doi−2 doi−2 )( ) γ ( x − x ) + 2 ( )γ (x i − x o ) ∑i i j ∑ i doi−2 ∑ i doi−2 ∑ i doi−2 (3.28)

A Matérn class model (Matérn 1960) was used to estimate a parametric model for the variogram, and was fitted to the prediction residuals. In the application, the first two principal components of the covariance matrix of six Landsat 5TM spectral bands were employed to predict volume and to estimate the variogram model-based error. A cubic root transformation was used to stabilize the heteroscedasticity of the residuals. The data was stratified on the basis of mineral soil and peatland due to the fact that the spectral responses are very different for those two land classes. In a validation trial, the method produced similar error estimates to the empirical method when splitting the data into modelling (two thirds) and validation (one third) parts. A Model-Based Error Estimator for an Arbitrary Group of Pixels Some examples of the error estimators for an arbitrary group of pixels are reviewed next, in a more detailed way, the approach by McRoberts et al. (2007). It is also a model-based method, starting from the model (3.26), and utilises a variogram model to accommodate the spatial dependencies of the residuals. Otherwise than Kim and Tomppo (2006), a variogram model in the geographical space was employed.

3.2 Estimation

61

Let us use the notations of the model (3.26) and furthermore Cov(ei,ej)=rijsisj, where r denotes the spatial correlation of e. McRoberts et al. (2007) used an unweighted mean of the values of the variables as the k-NN prediction yi =

1⎛ k i⎞ ∑ yj , k ⎜⎝ j =1 ⎟⎠

(3.29)

where the set {yji: j Î {i1 (p),…,ik (p)}} consists of the observations for k pixels in the reference set nearest to the ith pixel in the covariate space with respect to the distance metric employed (e.g., Formula (3.10) or Formula (3.18), Subsection 3.2.3). The following notations were used and the following assumptions were made. 1. An approximate symmetry among the nearest neighbours around xi in the covariate space. 2. mji » mi where mi is the superpopulation mean corresponding to xi and mji is the superpopulation mean of the distribution of which yji is a realization. These assumptions guarantee unbiasedness of the individual predictors and estimators both at pixel level and at the level of aggregates of pixels, i.e., e.g., E(y~i) » mi Furthermore, the k-NN prediction y~i was employed as both the estimator of the mean, mi and the realization, yi; i.e., µˆi = yˆi = y~i. The estimator of the variance of the prediction of a realization, yi was expressed as a function of si2 and the estimator for si2 was expressed using the variation between the prediction and the values of the k-nearest neighbour plots taking into account spatial correlation among the realisations yi which leads to

∑ (y k

s i2 =

i j

− yi

j =1

1 k k− ∑ k j1 =1

)

2

k

∑r j2 =1

.

(3.30)

j1 j2

This estimator depends on the unknown rij. Its estimator was derived using the connection of variogram and correlation, rij = 1 − (g (dij) / gtotal), as well as the empirical 1 semivariogram gˆ ( d ) = 2 N d ( )

∑ (dˆ

N (d )

i

)

2 − dˆ j , where the quantities dˆ are standardised

residuals. An iterative approach that iterated between (3.28) and rˆij and gˆij was used to estimate sˆi. Following a model-based approach, McRoberts et al. (2007) also presented a variance estimator for the predictions of a realisation, yi, in addition to variance of µˆ. It was shown that the variance of the estimator yˆi can be expressed as Var ( yˆi ) ≈

k ⎞ s i2 ⎛ k k r rli + k 2 ⎟ − 2 k ∑ ∑ ∑ l1l2 2 ⎜ k ⎝ l1 =1 l2 =1 ⎠ l =1

(3.31)

62

3 Methods

where l, l 1, and l 2 index the k neighbours nearest to the ith pixel (McRoberts et al. 2007). The variance of the estimators concerning a group of pixels were also derived both 1 N ˆ ∑ m i , and the mean over predictions of N i =1 1 N realisations from the superpopulation, YM 2 = ∑ yˆi . The variances of these N i =1 estimators were derived in a straightforward way from (3.30) and (3.31), for the details, see McRoberts et al. (2007). The study of McRoberts et al. (2007) is a promising approach to solve the famous problem. Some issues remained and were listed by the authors. Some assumptions were made in deriving the variance estimators. For example, the superpopulation means of the neighbours was assumed to be same as that of the target pixel which, together with the zero-expectation of the deviations e of the realisations yi from the population mean mi, symmetry of the distribution of neighbours in covariate space, and adequacy of the range of reference set observations in covariate space, guarantee unbiasedness. In addition, neither the effect of the selection of k on variances nor the effect of weighting individual neighbours when calculating k-NN predictions were investigated. A model-based estimator of the uncertainty of knn predictions was also proposed by Magnussen et al. (2007). It has some features common to McRoberts et al. (2007) but differs in many others. One difference is that it also tries to handle a possible bias of the estimators. The starting assumption was same as in McRoberts et al. (2007). For a given unit, i.e. pixel i, with covariate data vector xi (e.g., satellite image data), the value of the associated variable Y is assumed to be a random realization yi from a superpopulation with a fixed superpopulation mean mi and a variance si. The error estimators were derived in a different way than in McRoberts et al. (2007). The prediction y~i was based on the k-NN method. However, unlike in McRoberts et al. (2007), distance weighting was used. The differences in error estimation are: (i) the expected values of Y, mi, is estimated by a non-parametric regression expressing x as a univariate variable, denoted by X*; (ii) the variance si, the expected variance of Y given X*, is estimated by modelling the difference of observed yi and the estimate of mi (from (i) ) by means of a non-linear relationship between the difference and X* (iii) the correlation introduced by the distance ordering and weighting of the k reference y-values is used in a k-NN prediction and in estimating the variance of the prediction y~i, and (iv) an estimate of bias of a k-NN prediction of an expected Y-value is also provided. Other approaches to the derivation of the error estimate for an arbitrary group of pixels, not necessarily using k-NN estimation, include the variogram model applied by Lappi (2001) for a calibration estimator, a subsampling method for nonstationary spatial data by Ekström and Sjöstedt-de Luna (2004) and the design based approach by Baffetta (2008) for k-NN estimation. Lappi (2001) also used a modelbased approach and derived a calibration estimator for the predicted average value, – YM2 (McRoberts et al. 2007) while the error variance of the calibration estimator for the predicted average was derived using a variogram model. for superpopulation means, YM 1 =

Chapter 4

Results

Abstract In this chapter MS-NFI9 estimates are presented by municipalities. The estimates based on field data only together with their standard errors are given for land class estimates and for volume estimates by tree species. The purpose of these massive tables and numerous figures is to demonstrate to MS-NFI products in a concrete way and help a reader to understand the possibilities of MS-NFI. The MSNFI9 estimates are compared to the MS-NFI8 estimates by regions and differences are discussed. Estimates of forest biofuel potentials in young thinning stands and mature forests are also discussed with the examples from two development classes. Current and new methods for error estimation are presented. Thematic output maps are presented and described. Keywords Multi-source forest inventory, forest resource estimates, area estimates, volume estimates, thematic maps

4.1

Forest Resources by Municipalities

The primary purpose of MS-NFI is to be able to calculate forest resource estimates for municipalities. Two other calculation units, in addition to a pixel, have been employed to justify the selected estimation parameters and to obtain some idea of the reliability of the estimates. These units are a group of municipalities and a forestry centre. The MS-NFI method makes it possible to estimate all parameters derived from the field variables. In Appendix 1, Tables 1–8, estimates are presented for those parameters of which the estimates are considered to be sufficiently precise. Some of the estimates in the tables are also available via Internet (Metinfo 2007). The municipality level aggregates of MS-NFI estimates at forestry centre level (regions) were compared to field estimates to analyse possible significant systematic errors, i.e., biases. The field inventory estimates and their standard errors (SE) for forestry centres are presented for areas of land classes, as well as mean and total volume by tree species (Appendix 1, Tables 1, 6 and 7). This validation was carried out also for sub-regions, groups of municipalities, during the E. Tomppo et al. Multi-Source National Forest Inventory, © Springer Science + Business Media B.V. 2008

63

64

4 Results

operative MS-NFI9, particularly for land classes and volumes by tree species in order to find good enough estimation parameters. The MS-NFI area estimates of the forest land, poorly productive forest and unproductive forest were unbiased, i.e. the MS-NFI estimates were within two SE of the field inventory estimates, for majority of forestry centres (Appendix 1, Table 1). The combined forestry land area estimates were within one SE of the field inventory estimates except in one case. The applied map data was more accurate and up-to-date in MS-NFI9 than in MS-NFI8 (Tomppo et al. 1998b). The impact of the map errors on the estimates were corrected by two optional methods (Subsection 3.2.5). However, the calibration method employed has shown a tendency to diminish the plot weights of poorly productive forest land (PPF) and especially those of unproductive forest land. Consequently, the area estimates of these variables from MS-NFI9 were typically smaller than those based on the field plot data only and significantly biased in forestry centres 0, 1 and 9 on unproductive forest land. Stratified MS-NFI was used in forestry centres 2 and 11. Distinguishing between forest land and PPF and unproductive forest land is difficult when employing satellite image data. It is, of course also difficult in the field. In such classification situations, the proportions (of land classes) obtained may be close to the average proportions in the training data. The aggregates of MS-NFI estimates of mean volume of growing stock by tree species on forest land and FPPF were in most cases unbiased, except for other deciduous tree species (Appendix 1, Tables 6a and 7a). It seems to be difficult to separate birch and other deciduous species by means of multi-source inventory. Similar results were obtained in validating the total volume estimates (Appendix 1, Tables 6b and 7b).

4.2

4.2.1

Comparison of the Results by Regions and to MS-NFI8 Results Variables in the Comparison

The forest resource estimates are calculated for municipalities and forestry centres. The comparison between municipalities and regions focuses on some core variables. The areas of municipalities vary considerably and so it is more appropriate to compare average values and proportions (%). The results for the municipalities are only averages and tell little about between-stand variation within a municipality. Forestry and forest land areas in most municipalities amount to several hundreds of square kilometres but stands are only a few hectares. There can be large variations within municipalities but the variation between municipalities resembles a large area phenomenon rather than a feature of a small area (Tomppo et al. 1998b).

4.2 Comparison of the Results by Regions and to MS-NFI8 Results

4.2.2

65

Mean Volume of Growing Stock

The mean volumes of growing stock by tree species are presented in Fig. 4.1. The mean and total volumes by tree species and roundwood assortments are presented in Appendix 1. Tables 6a and 6b present the volumes for forest and poorly productive forest land (FPPF) and Tables 7a and 7b give the volumes for forest land. Appendix 1, Table 2b, presents mean volumes on mineral soils and peatland soils both for forest land and for combined FPPF. The mean volume of growing stock by age classes is presented in Appendix 1, Table 4b and by development classes in Appendix 1, Table 5b. The standard errors (SEs) of the field inventory for the forestry centres are shown in Appendix 1, Tables 6a, 6b, 7a, and 7b. In most cases, the MS-NFI estimates of mean and total volumes by tree species in the forestry centres were within two SE from field inventory estimates. One of the main objectives of the MS-NFI estimation was to obtain unbiased volume estimates for the main tree species groups. The bias was assessed at the level of a group of municipalities using field data based estimates and their SEs. In many forestry centres, the volume of other deciduous tree species was underestimated. The birch and spruce volumes also tend to be underestimated in many forestry centres. Overall patterns of mean volumes of growing stock and mean volumes by tree species follow the patterns of growth factors. Intensive forestry with forest regeneration that favours pine in the regeneration has increased the mean volume of pine in throughout the country since the 1960s (e.g., Tomppo et al. 2001). The mean volume of spruce is relatively high in regions with high growth factors, which implies a high overall mean volume. Peatland drainage has increased the volume of birch in regions with high proportions of peatland. Favouring birch as a mixture in coniferous forests has also increased throughout most of the country. Patterns of mean volumes and mean volumes by tree species follow those obtained using field data only and kriging smoothing (Tomppo et al. 2007). MS-NFI makes it possible to calculate more precise municipality level estimates than field data only and kriging. The mean volumes of the growing stock in the municipalities vary quite a lot between forestry centres. Table 4.1 summarises the number of municipalities by forestry centre on the basis of mean volume of growing stock on forest land. The areas of forest land in the volume classes are also given. The mean volumes on forest land are somewhat higher than those on FPPF, especially in the northern Finland where the area of PPF is relatively large (Appendix 1, Tables 1, 6a, 7a). The highest mean volume of growing stock on FPPF was in Häme-Uusimaa forestry centre, 153 m3/ha, and the lowest in Lapland, 49 m3/ha (Appendix 1, Table 6a). Furthermore, the mean volume often exceeded 120 m3/ha in the southern parts of Finland and there were 19 municipalities where the mean volume of growing stock exceeded 160 m3/ha. Most of these municipalities are located in Häme-Uusimaa forestry centre and some in the southernmost centres of Etelärannikko and Lounais-Suomi and also Pirkanmaa (Fig. 4.1a). The highest mean volumes among the municipalities were in Hauho, 175, Ypäjä 170 m3/ha, and Mäntsälä, 169 m3/ha, all of them in

66

4 Results

a.

b.

c.

d.

Fig. 4.1 The mean volume of growing stock on forest and poorly productive forest land by municipalities: all tree species (a), pine (b), spruce (c), birch (d), other deciduous species (e). Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

4.2 Comparison of the Results by Regions and to MS-NFI8 Results

67

e.

Fig. 4.1 (continued)

Häme-Uusimaa forestry centre. In southern Finland, the lowest mean volumes are in Brändö in Åland and Perho in Etelä-Pohjanmaa (62 m3/ha). In Etelä-Pohjanmaa forestry centre, the mean volume was 88 m3/ha and in Pohjanmaan rannikko, Pohjois-Karjala and Åland forestry centres the mean volume was slightly over 100 m3/ha. In these four forestry centres the highest mean volumes were in Jomala, Outokumpu and Rääkkylä (approximately 130 m3/ha). Growth factors, such as degree days during the growing season and site fertility distributions explain the greater part of the variation in the mean volume. In the northern Finland, the mean volume of the growing stock by municipalities was under 100 m3/ha. The highest mean volume in the northern Finland was in Nivala in Pohjois-Pohjanmaa forestry centre (95 m3/ha). In Kainuu forestry centre, the mean volume by municipalities varied from 65 m3/ha in Vaala to 83 m3/ha in Paltamo, and in Lapland, from 69 m3/ha in Kemi to 15 m3/ha in Utsjoki. Compared to MS-NFI8 estimates, the mean volume had increased by several cubic metres per hectare throughout the whole country except in Åland and in Etelä-Savo forestry centres where there was a slight decrease. The highest increase in mean volume between the two inventories was in southern and southwestern Finland and in northern Finland, especially in Kainuu (Tomppo et al. 1998b). The mean volume of pine was highest in the municipalities of eastern Finland and western Finland except Pohjanmaan rannikko, while the mean volume of

Number of municipalities Forest land are in the municipalities (ha) Rannikko/ Number of municipalities Etelärannikko Forest land are in the municipalities (ha) Rannikko/ Number of municipalities Pohjanmaan rannikko Forest land are in the municipalities (ha) Lounais-Suomi Number of municipalities Forest land are in the municipalities (ha) Häme-Uusimaa Number of municipalities Forest land are in the municipalities (ha) Kaakkois-Suomi Number of municipalities Forest land are in the municipalities (ha) Pirkanmaa Number of municipalities Forest land are in the municipalities (ha) Etelä-Savo Number of municipalities Forest land are in the municipalities (ha) Etelä-Pohjanmaa Number of municipalities Forest land are in the municipalities (ha) Keski-Suomi Number of municipalities Forest land are in the municipalities (ha) Pohjois-Savo Number of municipalities Forest land are in the municipalities (ha) Pohjois-Karjala Number of municipalities Forest land are in the municipalities (ha) Kainuu Number of municipalities Forest land are in the municipalities (ha) Pohjois-Pohjanmaa Number of municipalities Forest land are in the municipalities (ha) Lapland Number of municipalities Forest land are in the municipalities (ha)

Forestry centre

Åland

51–60

71–80

4 834,574 10 626,042 3 217,624

1 1 52,997 27,614

61–70

2 724,171 1 9 8 6,297 2938,363 1853,586

41–50 1 874

2 3,684

3 13,251 3 7 29,736 108,133

7 39,549 5 66,425

1 6,231 6 78,024

4 70,933

1 5 5 4 48,853 117,482 141,712 160,530 2 1 6 13 26 17 5 53,373 45,693 118,406 136,445 360,245 186,229 75,490 6 7 17 11 78,982 180,691 369,412 241,981 1 2 8 10 3 2,121 68,442 242,550 394,510 77,789 2 1 2 5 12 4 2 90,127 91,247 71,799 159,586 381,231 57,925 60,872 5 11 2 394,251 728,834 83,186 7 20 11 254,112 569,806 369,720 2 3 4 3 5 10 1 69,858 142,004 298,459 219,551 191,866 422,608 40,684 4 6 8 4 1 390,507 311,367 338,966 218,475 95,872 1 3 2 6 4 68,064 653,265 211,625 352,903 196,321 5 936,077 19 7 805,321 280,919

2 4,205

3 65,834

1 12,412

81–90 91–100 101–110 111–120 121–130 131–140 141–150 151–160 161–170 171–180

Mean volume (m3/ha)

Table 4.1 Number of municipalities in 10 m3/ha mean volume classes on forest land and forest land area in the municipalities by forestry centres.

4.2 Comparison of the Results by Regions and to MS-NFI8 Results

69

spruce was highest in central Finland from south coast to Pohjois-Savo forestry centre. The overall highest mean volume of pine was in Merimasku (88 m3/ha). The pine volume exceeded 75 m3/ha in 12 municipalities located in Lounais-Suomi, Kaakkois-Suomi, Etelä-Savo and Etelärannikko forestry centres (Fig. 4.1b). Of the tree species, pine had the largest mean volume in the municipalities in Åland, EteläPohjanmaa and Pohjois-Karjala forestry centres and in northern Finland with a few exceptions. In northern Finland, the highest mean volume of pine was in Reisjärvi (55 m3/ha), and the lowest was in Utsjoki (3 m3/ha). In southern Finland, the lowest mean volume of pine was in Korsholm-Mustasaari (25 m3/ha). Compared to MSNFI8, the mean volume of pine had usually increased throughout the whole country except in Åland. The largest positive changes were in Pohjois-Pohjanmaa and Kainuu (Tomppo et al. 1998b). The municipalities with a low mean volume of pine are usually spruce dominated, but in North Finland the mean volume is low for all tree species because of physical conditions. In the municipalities with high proportions of forests on fertile site types and high cumulative temperature, the overall mean volume is usually high. Spruce is dominant on more fertile soils than pine and consequently a high proportion of spruce dominant forests are associated with high mean volumes. The highest mean volume of spruce was in Hauho and Mäntsälä (108 m3/ha), and also in Humppila and Hämeenkoski the mean volume of spruce was over 100 m3/ha (Fig. 4.1c). In northern Finland, the highest mean volume of spruce was in Kemi (28 m3/ha). The spruce volumes were high in the same areas as high overall mean volume, except in Pohjanmaan rannikko where the mean volume of spruce was relatively high, even though the mean volume of all tree species was relatively low. Municipalities with the lowest spruce volumes in southern Finland were in Etelä-Pohjanmaa and Åland, the lowest was in Brändö (1 m3/ha). Overall lowest spruce volume was in Utsjoki (under 1 m3/ha) both on forest land and on FPPF (Fig. 4.1c, Appendix1, Tables 6a and 7a). In only three municipalities in northern Finland, Kemi, Tornio and Keminmaa, all in Lappi forestry centre, did spruce have the highest mean volume among the tree species. Compared to MS-NFI8, Etelä-Savo forestry centre was the only one where the mean volume of spruce had decreased. The changes were very small in the other forestry centres (Tomppo et al. 1998b). Birch had the highest mean volume after pine and spruce over the entire country, with a few exceptions in Åland. Many of the municipalities with high mean volume of spruce also had relatively high birch volumes (Figs. 4.1c, d). Exceptions are in northern Finland, e.g., in southern part of Pohjois-Pohjanmaa forestry centre where peatland soils are common with pine and birch as dominating species. The mean volume of birch varied between 5 and 25 m3/ha, but the average was somewhat lower in the north. Municipalities with relatively high birch volumes also occurred in southwestern Lapland, and in the northernmost Lapland near the forest border. The mean volumes of birch were low: 10 m3/ha or less in other parts of Lapland and in the northern parts Pohjois-Pohjanmaa and Kainuu. The mean volume of birch was below 15 m3/ha in southern Finland and in parts of Etelä-Pohjanmaa, KeskiSuomi, along the southwestern and southeastern coast and Pohjois-Karjala.

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Compared to MS-NFI8, the mean volume of birch had increased by 1–2 m3/ha over the entire country, except in Etelä-Savo and Åland (Tomppo et al. 1998b). The proportion of other deciduous tree species of the total volume was relatively small. The mean volume of other deciduous tree species is higher in the zone from the south coast to the Pohjois-Savo forestry centre than elsewhere in the country (Fig. 4.1e). Areas with high volumes of other deciduous tree species volume also occur in southwestern coastal areas and in the eastern parts of Kaakkois-Suomi forestry centre. The highest mean volume of other deciduous tree species was in Kökar (22 m3/ha), Helsinki (19 m3/ha) and Vantaa (18 m3/ha). In western Finland, e.g., in Etelä-Pohjanmaa forestry centre, the volumes of other deciduous tree species varied typically from 1 to 3 m3/ha. In northern Finland, the largest volumes were in the western parts of Pohjois-Pohjanmaa and southwestern Lapland, being at greatest in Kärsämäki (5 m3/ha). With some exceptions, the mean volume of other deciduous tree species was below 1 m3/ha in Lappi forestry centre, and below 2 m3/ha in Kainuu and eastern Pohjois-Pohjanmaa. Compared to MS-NFI8, no significant changes were obtained in the mean volume of other deciduous tree species but a slight increase had occurred in Åland (Tomppo et al. 1998b).

4.2.3

Dominant Tree Species

The dominant tree species is assessed in the field as a stand-level variable. It is the tree species with the highest volume in the range of development classes from young thinning stand to mature stand, and is defined as the tree species with highest number of stems capable of development in young and advanced seedling stands. The proportion of pine dominant forests has increased significantly during recent decades due to the drainage of peatland forests and intensive silviculture that has favoured pine in regeneration (Tomppo and Henttonen 1996). Since NFI8 (1986– 1994, MS-NFI8 in 1990–1994), some changes have taken place in southern Finland where the area of birch dominated forest land has increased and that of spruce dominated forest land has decreased. For the purpose of comparison, the proportions of the tree species dominance are given first on the basis of field data only. The proportion of pine dominant forests on forest land was 57% in NFI9 in southern Finland, 76% in northern Finland and 65% in the whole country (Finnish … 2005). In NFI8 and its update in southern Finland (NFI8+), the proportions were 57%, 75% and 65% respectively (Tomppo and Henttonen 1996). The proportion of spruce dominant forests was 31% in southern Finland, 15% in northern Finland and 24% in the entire country being somewhat smaller than in NFI8 (32%, 16% and 25% respectively). The birch dominant forest area has increased from 8% to 10% in southern Finland, whereas the proportion in northern Finland is nearly the same (7%) as in NFI8 (8%) (Tomppo and Henttonen 1996; Finnish … 2005). The dominant tree species by municipalities is presented in Appendix 1, Tables 3a and 3b and in Fig. 4.2. These figures clearly indicate that pine is the dominant

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a.

c.

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b.

d.

Fig. 4.2 The percentage of pine (a), spruce (b), birch (c) and other deciduous species (d) dominated forests on forest land by municipalities. Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

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tree species in most of the municipalities. The highest proportion of pine dominated forests was in the municipalities of southwestern, western and northern Finland. In eastern Finland, the proportions were lower, but forests were still strongly pine dominated. In the Etelä-Pohjanmaa forestry centre and in northern Finland, the average proportion of pine dominant forests was greater than 75%. The proportion of pine dominated forests in the municipalities was usually between 45% and 70% in the southern Finland and between 70% and 85% in the north. The lowest proportions were in Häme-Uusimaa forestry centre in Hämeenkoski and Järvenpää municipalities, approximately 25%. The highest proportion was in Etelä-Pohjanmaa forestry centre in Perho, 92%. In northern Finland, the proportions varied from 40% in Kemi to 89% in Inari. The differences in pine dominance between MS-NFI8 and MS-NFI9 were quite small in the southern Finland. On the average, 58% of forest land was pine dominated, as in MS-NFI8. The number of municipalities with pine dominant forests over 80% of the forest land area in the whole country was higher than in MS-NFI8. The average proportion in the northern Finland was 77% in MS-NFI8 and nearly the same, 78%, in MS-NFI9. On the basis of MS-NFI9, there were some municipalities with the pine proportion less than 50% in the northern Finland while none in MS-NFI8 (Tomppo et al. 1998b). The proportion of spruce dominated forests was usually between 20% and 40% in the South Finland and between 5% and 20% in northern Finland. HämeUusimaa and Pirkanmaa were the only forestry centres with high proportion of spruce dominated forests. In Häme-Uusimaa the proportion varied from 31% (in Sammatti) to 62% (in Hämeenkoski); the average was 49%. The percentages in Pirkanmaa varied more, from 13% to 52% and the average was 38%. Fertile forest soils and the high cumulative temperature during the growing season are typical of the Häme-Uusimaa forestry centre and the southern parts of Pirkanmaa forestry centre. Further, in seven other forestry centres there was at least one municipality with more spruce than pine dominated forests, the highest frequencies being in Etelärannikko and Pohjois-Savo centres. The proportion of spruce dominated forests varied between 11% and 55% in Etelärannikko, with an average of 33%. The proportions in Pohjois-Savo varied from 22% to 48%, and the average was 36%. Spruce dominated forests on forest land are rarer in northern Finland, in Åland and in Etelä-Pohjanmaa forestry centres than elsewhere in the country, the averages being around 15% or less. The proportion in Åland was one-third less than in MS-NFI8 while forests dominated by deciduous tree species were more common. MS-NFI9 should be considered more accurate than MS-NFI8, particularly in Åland due to dense field plot grid in there, see also Section 4.3. The proportion of spruce had typically decreased between MS-NFI8 and MS-NFI9 in the other forestry centres. The average proportion of spruce forests in southern Finland was 30% in MS-NFI9 and 32% in MS-NFI8. The average proportion in northern Finland was 14% both in MS-NFI8 and MS-NFI9. In Lapland, there were some municipalities in MS-NFI9 with spruce proportions over 30%. From all 416 municipalities in Finland, spruce dominated forests were most common in 74 municipalities in MS-NFI9, and in 78 municipalities out of 452 in MS-NFI8 (Tomppo et al. 1998b).

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73

Either pine or spruce was the most common tree species in all municipalities in the country when measured as dominant tree species. In two municipalities in Åland, however, over 50% of the forest land was dominated by deciduous tree species. In southern Finland, the proportion of birch dominated forests varied usually from 7% to 11%, and in northern Finland from 4% to 9%. The proportion of birch dominated forests was usually between 6% and 12% in southern Finland and between 4% and 10% in northern Finland. The proportion of birch dominated forests was highest in Etelä-Savo. A relatively high proportion of birch dominated forests also occurred in eastern and southern parts of the country. The whole western coast up to southwestern Lapland had also a high proportion of birch dominated forests. The highest proportion of birch dominant forests in the country, 32% was in Utsjoki municipality in the northernmost Finland. The proportion of birch dominated forests was the lowest in the forestry centres of LounaisSuomi, Etelä-Pohjanmaa as well as in large areas in Kainuu, Pohjois-Pohjanmaa and Lappi (Fig. 4.2c). A group of municipalities with relatively low proportion of birch was also in southeastern Finland, around 5%. The proportion of birch dominated forests had increased after MS-NFI8 especially in forestry centres PohjoisSavo, Etelä-Savo, and Åland. The most common deciduous species in Finland, other than birch, are aspen (Populus tremula L.), grey alder (Alnus incana L.) and European alder (Alnus glutinosa L.), as well as in Åland and in southernmost Finland as minority also some hard-wood species such as oak (Qeurcus robur L.) and European Ash (Fraxinus excelsior L.). The proportion on forest land dominated by other deciduous tree species was typically between 0.4% and 1.2% in southern Finland and 0.2% or less in the north. The highest average proportion in the forestry centres was in Åland, 7%. The proportion by municipalities in the southeasternmost Finland was usually around 1% or less, while it exceeded 5% in the most municipalities in Åland, as well as in three municipalities in Etelärannikko (Fig. 4.2d). The proportion was 1.5% or more in some municipalities in southern Finland in Häme-Uusimaa, Kaakkois-Suomi, Pohjois-Savo and around Vaasa in Pohjanmaan rannikko. The other deciduous tree species were quite equally distributed in Etelä-Savo where their proportion was a little higher than elsewhere in the country. Same holds for Outokumpu, Polvijärvi and Pyhäselkä municipalities in Pohjois-Karjala forestry centre. Slash-and-burn agriculture lasted longer in these areas than elsewhere and the proportion of fertile sites is also relatively high in these regions. The average proportion of other deciduous species by municipalities was less than 0.5% in the forestry centres of northern Finland and Etelä-Pohjanmaa. The highest proportions in northern Finland were in the coastal region of Pohjois-Pohjanmaa forestry centre, in particular in the municipalities of Lumijoki (2%), Raahe (1.6%) and Pyhäjoki (1.5%). The proportion of forests dominated by other deciduous tree species had increased since MS-NFI8, especially in Åland but also in the forestry centres of Etelärannikko, Etelä-Savo and Pohjois-Karjala. A substantial decrease had taken place in Lounais-Suomi, Pirkanmaa and Pohjois-Savo (Tomppo et al. 1998b) (Fig. 4.2d, Appendix 1, Table 3a).

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Poorly productive forest land (PPF) consists either of rocky soils, field forests or less fertile peatland soils, such as oligo-ombrotrophic or ombrotrophic peatlands, e.g., Sphagnum fuscum dominated peatlands. These sites are often close to being in a natural state often with pine as the dominant tree species or in some cases birch. Wood production is possible, but the mean annual production is low, see Chapter 2. The dominant tree species on PPF are presented in Appendix 1, Table 3b. Pine was the dominant tree species on PPF in all forestry centres. The proportion of pine dominant forests on PPF was under 90% in Åland, Pohjanmaan rannikko, HämeUusimaa, Pirkanmaa, Etelä-Savo and Lapland. In these forestry centres, the proportion of birch varied from 6% in Åland to 31% in Lapland. The highest proportions of other deciduous tree species were approximately 5% in Åland and Pohjanmaan rannikko. Spruce dominated forests occurred on PPF in northern Finland, the average being 5% in Pohjois-Pohjanmaa and 11% in Lapland. Moderate changes occurred in the proportions of dominant tree species on PPF between MS-NFI8 and MS-NFI9. In MS-NFI9, the proportion of pine dominant forests was greater in Pohjois-Savo and Kainuu and lower in Häme-Uusimaa. The proportion of spruce was very low in both inventories in southern Finland but in the north the proportion was higher and increased slightly. The proportion of deciduous tree species had increased in Häme-Uusimaa and decreased slightly in Kainuu and PohjoisPohjanmaa (Tomppo et al. 1998b, Appendix Table 3b). Estimation errors are high concerning the proportion of tree species on PPF and so it can be difficult to determine whether the changes are real or not.

4.2.4

Age Class Distribution on Forest Land

The age class distribution on forest land by municipalities is given in Appendix 1, Table 4a and the mean volume of the growing stock in age classes in Table 4b. The proportion of forests with an age of not more than 40 years is presented in Fig. 4.3a and that with an age of over 120 years in Fig. 4.3b. The aggregates of MS-NFI estimates of age classes and mean volumes in age classes from the forestry centres were unbiased in almost all classes compared to the field inventory estimates. In MS-NFI8, an overestimation of open areas and young age classes was observed in the aggregates of the municipality results. This was considered to result from an overestimation of forestry land area based on map data (Tomppo et al. 1998b). The methods used to correct for the map errors in the NFI9 small-area estimates (Subsection 3.2.5) decreased the probability of this kind of error. Forests under 40 years accounted for 40% or more of forest area in central and southeastern Finland, while in Lapland (forestry centre 13) the proportion was less than 35% in most municipalities (Fig. 4.3a). The proportion was above 55% in the municipalities Parikkala and Pyhäselkä in eastern Finland. In the three northernmost municipalities, the proportion of forests under 40 years was less than 15%. The difference of proportions in north-south direction is natural because the average rotation time of forest stands increases towards the north of Finland. Compared

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a.

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b.

Fig 4.3 The proportion of forests with age of 0–40 (a) and over 120 (b) years on forest land by municipalities. Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

to the results of MS-NFI8, the proportions of forests under 40 years have increased in municipalities in eastern Finland (Tomppo et al. 1998b, fig. 16a). The proportion of old forests, over 120 years, varied between zero and 10% in the municipalities of southern and central Finland, with a few exceptions. The high proportions were naturally found in Lapland, with the highest proportion 46% in Inari municipality, due to reasons explained in the previous paragraph, and also due to large areas of protected forests (Fig. 4.3b).

4.2.5

Distribution of Development Classes

The development class distribution on forest land by municipalities is presented in Appendix 1, Table 5a and the mean volume of growing stock in development classes in Table 5b. For the definitions of development classes, see Chapter 2. The combined proportion of forests belonging to development classes open regeneration area, young seedling, advanced seedling, young thinning, seed tree or

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b.

Fig 4.4 The proportion of development classes of open regeneration, seedling, young thinning, seed tree, and shelterwood (a) and mature forests (b) on forest land by municipalities. Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

shelterwood stand are presented in Fig. 4.4a. The highest percentages, over 65% in many municipalities, were found in forestry centres Kainuu, Pohjois-Pohjanmaa and in southern parts of Lapland. The proportion was over 80% in two municipalities, Perho and Utsjoki. The proportion of these development classes remained below 55% in southwestern Finland, with the lowest proportions, below 30%, in the coastal municipalities. Compared to MS-NFI8, the proportion of these development classes had increased in central Finland. The proportion of mature stands, ready for regeneration cuttings, varied from 2% to 48% in the municipalities (Fig. 4.4b). The highest proportions were found in coastal areas of southern Finland and in northern Lapland. The proportion exceeded 30% in municipalities Kumlinge, Iniö, Houtskär, Brändö, Inari and Enontekiö. The forestry is not intensive in these areas and the proportion of protected forests is high in some of these municipalities. In the Åland archipelago, the proportions differed from that in MS-NFI8, which was partly due to the poor ground truth available in the MS-NFI8 estimation (Tomppo et al. 1998b).

4.2 Comparison of the Results by Regions and to MS-NFI8 Results

4.2.6

77

Available Energy Wood

Appendix Table 8a presents, the biomass estimates by tree species groups in young thinning stands (development class). The biomasses of stem and bark, branches and foliage were calculated from those field plots where first commercial thinning was proposed for the first 5-year-period or where pre-commercial thinning was proposed and the treatment was already considered to be delayed in the corresponding stand. In addition, the proportion of the field plot biomass, capable to be removed (28–43%), was estimated using the regional thinning regimes of pine, spruce and birch on most common site fertility classes (Mesic forests and Sub-xeric forests) according to the dominant tree species of the field plot stand (Hyvän metsänhoidon suositukset 2006) (Table 4.2). The biomass estimates of mature forests are given separately for branches, foliage and stem residuals, and stumps and large roots by tree species groups in Appendix Table 8b. The calculation of biomass estimates for different tree compartments is presented in Subsections 2.1.2 and 3.2.2. When aggregating the municipal level estimates, the largest energy wood biomass was found in mature forests for the combined tree compartments branches, foliage and stem residuals (95.5 Tg (1012 g) ) and for the compartments stumps and large roots (71.6 Tg). When considering the tree species groups and development classes, the largest energy wood biomass was 49.8 Tg for spruce in mature forest for the branches, foliage and stem residuals, and 33.2 Tg for stumps and large roots. The potential energy wood biomasses from young thinning stands was 34.9 Tg for stem and bark, 10.3 Tg for branches, and 4.9 Tg for foliage. For comparison, the field inventory estimates were also calculated at forestry centre level using the same predicted biomasses for sample trees as for MS-NFI estimation. In the mature forests, the estimates for branches and foliage was 90.0 Tg and for stumps and large roots 74.5 Tg. Note that the stem residual compartment of a tree is missing from the first figure and so it is smaller than the MS-NFI estimate. The biomass of the energy wood stumps and large roots was underestimated by the MS-NFI. The NFI estimate of stumps and large roots for spruce was 34.9 Tg, again slightly underestimated by the MS-NFI method. The slight underestimation of the biomass for mature stands is consistent with the fact that the total growing stock for this particular development class was underestimated by 2.7% by the MS-NFI method compared to the pure field data based Table 4.2 Removal percentages applied for pre-commercial and first commercial thinnings by regions (degree days) and dominant tree species of the NFI field plot stands. Site fertility classes: Herb rich heath (HRHF), Mesic (M) and Sub-xeric (SX) forests. Degree days

Pine

>1,200 dd 1,000–1,200 dd <1,000 dd

34 (SX) 32 (SX) 33 (SX)

Removal (%) (site fertility class of the regime) Spruce Deciduous 32 (M) 34 (M) 31 (M)

43 (HRHF, M) 43 (HRHF, M) 28 (HRHF, M peatlands)

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estimates (Appendix 1, Tables 5a and 5b). By forestry centres, the difference between the MS-NFI estimate and the NFI estimate of stumps and large roots varied between a 10% underestimation to a 9% overestimation. For estimates of spruce stumps and large roots, the largest overestimate was 14% for the Åland forestry centre and largest underestimate was 14% for the Pohjanmaan rannikko forestry centre. Thus, the largest relative differences were found in the smallest forestry centres. Similar comparisons were not made for young thinning stands. The largest biomass of energy wood in mature forests was in the northernmost forestry centre that is characterised by a large area of mature forests. The estimates for this centre also include energy wood from forests not used for wood production. In Lapland, the biomass of energy wood in the municipality Inari was 5.2 Tg in branches, foliage and stem residuals, and 3.7 Tg in stumps and large roots (Appendix 1, Table 8b). In practice, the stumps and large roots are only extracted from spruce dominated regeneration areas. The largest spruce biomass of stumps and large roots was in the municipality of Sodankylä, in Lapland. The amount of biomass in mature stands is correlated with the area and the mean volume of the particular development class in a municipality. The land areas of the municipalities in North Finland are far larger than those in southern parts of the country. The largest energy wood estimates in young thinning stands were located in northern and eastern Finland. In forestry centre Pohjois-Pohjanmaa, the biomass in stem and bark was 4.6 Tg, in branches 1.3 Tg and in foliage 0.6 Tg. The highest biomasses among the municipalities were in Lieksa, 648,000, 180,000 and 83,000 t, respectively. Lieksa also had the largest potential pine biomass in young thinning stands. The largest potential spruce biomass was in the municipality of Heinävesi – 133,000, 28,000 and 11,000 t respectively in stem and bark, branches, and foliage (Appendix 1, Table 8a). The energy wood estimates indicate the available potentials rather than the energy wood volumes available for harvest in practice. The practical constraints in use and harvesting of energy wood were not taken into account. Laitila et al. (2008) has estimated the amount of annual available energy wood chips in solid cubic metres from regeneration fellings and young thinning stands in Finland using NFI field plots and forestry statistics. In young thinning stands the plots with energy wood removal more than 25 m3/ha and with commercial removal less than 25 m3/ha were selected from NFI data. For regeneration cuttings, the estimations were based on annual commercial roundwood removals on the basis of forestry statistics. Only spruce stumps were included to the estimated amount of stump biomass because the stumps of the other tree species are not harvested in practice. The practical technical coefficients of losses in harvest were applied for the stumps, branches and foliage. Applying a biomass expansion factor of 0.5, the energy wood potential in wood chips for first commercial thinnings was 3.5 Tg/year, and for clear fellings for stem residuals, branches and foliage of the all coniferous tree species 3.3 Tg/year, and for the stumps and roots of spruce 1.3 Tg/year. These estimates are much smaller than our energy wood potential estimates, e.g. for the stumps and large roots of spruce the MS-NFI estimate is 33.3 Tg and for stem residuals, branches and foliage of the coniferous species 76.1 Tg. However, if the MS-NFI estimates would

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79

be divided to, e.g. a 10-year-period, and calculated for forest available for wood production only, as well as the percentage of harvest losses taken into account, same magnitude of figures would be obtained as in Laitila et al. (2008). It is important to recall that the energy wood estimates represent energy wood potential rather than the energy wood available in practice. Note also that the biomass estimates for energy wood were based on sample trees data only. The biomass of energy wood was thus calculated for each plot using a very few trees. The plot level variation caused by sampling is rather high but should not affect the municipality level estimates due to the fact that a large number of field plots were used to calculate the estimates. The fact that the tree level biomasses are predicted using Swedish models (Marklund 1988) may also cause some bias to the estimates. It is not possible to analyse the possible model errors resulting from the use of Swedish models with Finnish data.

4.3

4.3.1

Accuracy of Small-Area Estimates from MS-NFI8 and MS-NFI9 Empirical Errors of MS-NFI9 Small-Area Estimates Based on Independent Inventory Data

The precision of the multi-source inventory estimates for small areas has been assessed empirically using independent test data. Relative RMSEs of 5%, 12%, 15% and 16% for mean volume and mean volumes of pine, spruce and birch, respectively, were obtained in seven test units of size 100 km2 when the estimates from MS-NFI9 (ik-NN) were compared to independent field inventory based estimates in Eastern Finland (Katila 2006b). Corresponding relative RMSEs for three small areas of size 1 km2 were 13%, 37%, 27% and 40%. The RMSEs for 1 km2 are conservative error estimates because the test units were purposively selected to represent areas of extreme mean volumes. It should be noted that the error components (sampling, measurement and model errors) of the independent test data contribute to the total error (MSE) obtained from these comparisons, although they were not very significant in that particular study, whereas the measurement error component in the empirical RMSEs presented in Tomppo et al. (1998b, Fig. 14) was probably significant. In Fig. 4.5 the relative RMSEs of mean volume and mean volumes by tree species estimates obtained for the MS-NFI, k-NN and ik-NN, were presented against the average area of forest and poorly productive forest land (FPPF) for the small and large test units (Katila 2006b). In addition, the RMSEs were calculated for groups of municipalities (1,700–2,900 km2 of FPPF) from the MS-NFI9 estimations covering the NFI9 field work area in the year 2000. These results were extracted from Tomppo and Halme (2004). The ik-NN resulted in a smaller relative RMSE than k-NN, especially for the mean volume of pine and spruce. The RMSEs of all the variables decrease when the size of the units

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a

b

c

d

Fig. 4.5 The relative RMSE (%) of mean volume (a), mean volume of pine (b), mean volume of spruce (c), and mean volume of birch (d) of k-NN and ik-NN against the average area (logarithmic scale) of forest and poorly productive forest land of large and small test units and groups of municipalities from the year 2000 NFI field work area.

increases. However, the decrease is slower between 100 and 2,300 km2. The same setup was used in Fig. 4.6 that presents the relative RMSEs of forest land area estimates obtained from ik-NN with and without calibration for map errors. The forest land estimates are quite accurate even for 1 km2 areas. The calibration increased the precision only for larger areas; the method is sensitive to the deviation of the properties of the small area’s map data from that of the inventory area (as was the case for the independent test data) (Katila 2006b). The precision of the MS-NFI forest land estimates broken down to development classes (ha) and the total volume (1,000 m3) estimates for these classes was also studied using seven independent test units of size 100 km2 (Fig. 4.7) (for definition of development classes, see Appendix 1, Table 5). The RMSEs for estimating the area of each development class over the seven test units are presented in both absolute and relative scale in Fig. 4.7a and the corresponding RMSEs for total volume estimates in Fig. 4.7b. The relative RMSEs

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Fig. 4.6 The relative RMSE (%) of forest land area estimate from ik-NN, with and without calibration for map errors, against the average area (logarithmic scale) of forest land of large and small test units and groups of municipalities from the year 2000 NFI field work area.

are rather high, especially for small classes, and even the smallest RMSEs are more than 10%. Total volume estimation combines the error in the area and the mean volume estimation and the RMSEs increase to 20% and more. The empirical errors for MS-NFI development class estimates are rather high but still smaller than the relative errors in the NFI field inventory estimates for strata this small (Tomppo et al. 1998a).

4.3.2

Assessing the Systematic Errors of the MS-NFI8 and MS-NFI9 Municipality Estimates

Successive NFI results can be used to detect trends or changes in the state of forests. One prerequisite for this analysis is that the NFI estimates are precise enough (and unbiased) to enable the comparison. The relative accuracies of the estimates from MS-NFI8 and MS-NFI9 were therefore examined. The errors of the MS-NFI estimates were investigated employing the estimates by sub-regions based on the field inventory (Subsection 3.2.1). The validation was conducted separately for MS-NFI8 and MS-NFI9 on 30 municipality groups. The a priori assumption was that MS-NFI9 estimates are more precise because (1) an improved k-NN method

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a

b Fig. 4.7 The RMSE of area estimates (a) and total volume estimates (b) from ik-NN for different development classes over seven 100 km2 test units, relative RMSEs in brackets below horizontal axis. Error bars centred to average of true area and total volume estimates in field.

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83

was used in the estimation (Subsection 3.2.3), (2) high emphasis was put on the unbiased estimation of volumes by tree species at the sub-regional level, (3) the numerical map data employed was more accurate and the effect of map errors on MS-NFI9 estimates was corrected, (4) Landsat 7 ETM+ satellite images were largely used instead of Landsat 5 TM, (5) a denser field plot grid than in MSNFI8 was available in the southern part of the country, and (6) locations of NFI field plots were measured using GPS devices in northern Finland (Forestry centres 11, 12 and 13). First, differences in MS-NFI9 – MS-NFI8 by municipalities were studied in map form. The variables of interest were area of combined forest and poorly productive forest land (FPPF), mean (m3/ha) and total (m3) volume of growing stock, as well as mean and total volumes by tree species. The differences in mean volume, and mean volume of pine and spruce (both absolute and relative change for spruce) are presented in Fig. 4.8. There are groups of municipalities in the maps with substantial changes, e.g. in forestry centres 1, 2, 3, and 6 for mean volume and mean volume of spruce (Figs. 4.8a, 4.8c). The time span between MS-NFIs ranged from 4 to 9 years. The changes in volumes at municipality level should be rather smooth both in time and in space, i.e. compared to neighbouring municipalities. From NFI8 to NFI9, the mean volume and mean volumes of pine and spruce increased in South Finland from 111.4, 43.7 and 48.2 to 121.4, 50.3 and 48.1 m3/ha respectively, and in North Finland (forestry centres 11, 12 and 13) from 44.7, 25.8 and 10.5 to 59.9, 36.5 and 12.0 m3/ha respectively (Tomppo et al. 2001b, 2007). Groups of municipalities were formed by connecting single adjacent municipalities within the same forestry centre and with large differences in MS-NFI8 and MS-NFI9 estimates (Fig. 4.9). Thirty sub-regions were formed and they were distributed throughout Finland. Because sub-regions 1–15 were deliberately combined from municipalities with large differences, the following results do not provide an average precision estimate of the MS-NFI estimates. Four types of estimates were calculated for the groups of municipalities using field data from NFI8 and NFI9 and municipality-level estimates of MS-NFI8 and MS-NFI9 results. The field inventory results included the SE estimates (see Subsection 3.2.1). In southern Finland, the MS-NFI8 results were based on the NFI8+ mid-inventory from 1994 (Fig. 4.9 subregions 1, 2, 4-8, 17-19, 26-30) (Tomppo et al. 1998b). The NFI8+ field estimates and error estimates were not considered precise enough and so the sub-region estimates were based on interpolation between NFI8 (1986–1989) and NFI9 (1997–2000), both for the field estimates and for their SEs. The validation for MS-NFI8 is therefore not as precise in southern Finland as for the rest of the sub-regions. Two diagnostic characteristics were employed to study the errors of small-area estimates in the sub-regions: (1) the number of forest variables for which the MS-NFI estimate deviated significantly (more than two SEs) from the field estimate, and (2) the absolute value of difference between the MS-NFI estimate yˆMS–NFI and the field inventory estimate yˆNFI scaled by field inventory based SE estimate s (Formula 3.7), denoted by ×SE= |yˆMS– – yˆNFI| ⁄s. To simplify comparisons, the average values of ×SE, (×SE), of nine forNFI est parameter estimates were computed for both MS-NFI8 and MS-NFI9 estimates

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a

b

c

d

Fig 4.8 The difference between MS-NFI8 and MS-NFI9 estimates (MS-NFI9 – MS-NFI8) for mean volume (a), mean volume of pine (b) and spruce (c) and relative change of spruce volume estimate (compared to MS-NFI8) by municipalities on forest and poorly productive forest land, boundaries of forestry centres from year 2002. Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

4.3 Accuracy of Small-Area Estimates from MS-NFI8 and MS-NFI9

85

Fig 4.9 Subregions used for the validation of MS-NFI8 and MS-NFI9 estimates, boundaries of forestry centres from 2002. Digital map data: ©National Land Survey of Finland, licence No. 363/MML/08.

by sub-regions. These parameters were area of FPPF, total and mean volume of growing stock and total and mean volumes for pine, spruce and birch (Fig. 4.10). The value of ×SE was larger for MS-NFI8 than MS-NFI9 in the most cases, and the differences were largest for sub-regions in southern Finland. In four cases, the

86

4 Results 3

Southern Finland Central and North Finland

2.5

MS-NFI9 *SE

2

1.5

1

0.5

0 0.5

1

1.5 2 MS - NFI8 *SE

2.5

3

Fig. 4.10 The absolute value of difference between MS-NFI and field inventory estimate scaled to field inventory SE, the average for nine forest variable estimates in MS-NFI8 and MS-NFI9 on 30 subregions.

×SE for the MS-NFI8 was one SE larger than for the MS-NFI9. In Table 4.3, the average values ×SE are presented for two groups of variables, for core forest variables (area of FPPF, total and mean volume) and tree species (total and mean volumes for pine, spruce and birch). The differences in these averages indicate that the MS-NFI9 estimates are more precise for the tree species volume estimates, as expected from an earlier study (Tomppo and Halme 2004). The difference is noticeable in southern Finland. Apart from methodological advances, the results may be caused by less certain field inventory estimates (interpolated) in NFI8 than in NFI9, and a smaller number of field plots in the MS-NFI8 training data than in MS-NFI9 data. The number of variables for which the MS-NFI estimate was significantly biased varied from 0 to 5 out of 9 in MS-NFI8 and 0 to 3 in MS-NFI9 (Fig. 4.11). In 14 out of 30 sub-regions, the number of variables with a significant bias was greater in MS-NFI8 than in MS-NFI9. Note that one cause for systematic errors between MS-NFI8 and MS-NFI9 estimates may be the satellite image mosaic used in each MS-NFI. Each satellite image scene is analysed separately. Small areas, e. g. municipalities, in successive MS-NFIs may therefore employ field plots from different geographical reference areas depending on how the small area is located with respect to the applied satellite image on different occasions (Katila and Tomppo 2001).

4.3 Accuracy of Small-Area Estimates from MS-NFI8 and MS-NFI9

87

Table 4.3 The absolute value of difference; between MS-NFI and field inventory estimate scaled to field inventory SE, the average for main forest variable (area of FPPF, total and mean volume) and tree species variable (total and mean volumes for pine, spruce and birch) estimates in MS-NFI8 and MS-NFI9 and number of occasions in which the MS-NFI estimate deviated significantly (more than two SEs) from the field estimate. Results over subregions for southern Finland, central and northern Finland, and for all the 30 subregions. –—– –—– Difference xSE No. of significant bias xSE Regions

MS-NFI8 MS-NFI9

Variables

Southern Finland

Main forest variables Tree species Central & North Main forest Finland variables Tree species All subregions Main forest variables Tree species

6

(%)

MS-NFI8

MS-NFI9

1.04

0.85

−0.19

−18

6

2

1.34 1.00

0.66 0.92

−0.68 −0.08

−51 −8

24 3

4 1

1.28 1.02

0.90 0.89

−0.38 −0.13

−30 −13

20 9

12 3

1.31

0.78

−0.53

−40

44

16

Southern Finland Central and North Finland

5

MS-NFI9 nbr

4

3

2

1

0 0

1

2

3 MS - NFI8 nbr

4

5

6

Fig. 4.11 The number of variables (nine in total) for which the MS-NFI estimate deviates significantly (more than two SEs) from the field estimate MS-NFI8 and MS-NFI9 on 30 subregions.

4.4

Digital Thematic Output Maps

Thematic forest maps in raster format were produced for the most important forest variables: land class, site fertility class, stand age, mean height of stands, stand basal area, and volumes by tree species and timber assortments, for four tree species

88

4 Results Table 4.4 Twenty thematic map layers produced by MS-NFI9. Thematic maps, raster format, 25 × 25 m Area covered, forestry centres 20 layers - Stand age (a) - Stand basal area (m2) - Total volume (m3/ha) - Pine volume (m3/ha) - Pine log volume (m3/ha) - Pine pulpwood volume (m3/ha) - Spruce volume (m3/ha) - Spruce log volume (m3/ha) - Spruce pulpwood volume (m3/ha) - Birch volume (m3/ha) - Birch log volume (m3/ha) - Birch pulpwood volume (m3/ha) - Other broadleaved volume (m3/ha) - Other broadleaved log volume (m3/ha) - Other broadleaved pulpwood volume (m3/ha) - Mean height of stand (dm) - Crown cover (%) - Land class (3 classes) - Main site class (4 classes) - Site fertility class (8 classes)

0, 1a, 2–3, 8–13 0, 1a, 2–3, 8–13

or species groups (pine, spruce, two birch species combined, and other broad leaved tree species). Twelve volume maps were produced for volumes of saw timber, pulp wood and total volume. The basal-area-weighted median heights for field plot stands of thinning or older stage development classes in the ground truth data were obtained using models applied to tally trees, apart from forestry centres 11, 12 and 13 where they were measured directly in the field. The maps produced are in georeferenced raster layers of 25 × 25 m resolution (Table 4.4). The non-forestry land use cover was obtained from the digital land use map data and overlaid on the satellite image data during the estimation phase. For the rest of the area the k-NN pixel-level predictions were used. An example of the total volume thematic map is given in Fig. 3.2c. The raster layers can be combined (also with other information sources) and new products, e.g. dominant tree species and mean volume classes by tree species dominance, can be calculated. Appendix 2 shows maps of the mean stem volume of growing stock for Finland (Fig. 1) and for forestry centres (Figs. 3–15) and the dominant tree species map for Finland (Fig. 2). Due to the corrections for map errors employed in the municipal level estimates (Appendix 1) the sum and mean values calculated from raster layers will in most cases yield slightly different area and volume estimates. Most probably, the forestry land area obtained will be greater and the mean volume estimates smaller than in the tables in Appendix 1 (cf. Subsection 3.2.5).

Chapter 5

Discussion

Abstract The differences of the old k-NN method and the current ik-NN method are summarised. The ik-NN technique is the core of the current Finnish multi-source forest inventory. The most common applications of the output results together with the data users of the Finnish multi-source forest inventory are discussed. The limitations and several error sources of the satellite image-aided estimation and prediction methods are outlined. Some of these error sources and limitations are also valid for the other satellite image based methods and applications. The MS-NFI method, compared to commonly employed satellite image methods, can be regarded as a small-area estimation method that adds to the usual pixel-level prediction method. The small-area estimates are applicable regardless of the relatively high pixel-level errors. Keywords Multi-source forest inventory, satellite images, error sources

Satellite images and numerical map data, in addition to field data, have been utilised in the Finnish national forest inventory (NFI) since 1990. The system called multi-source forest inventory (MS-NFI) has produced small-area estimates of the core forest parameters, such as areas and volumes divided into sub-categories, as well as predictions of forest variables presented as maps. The small areas are municipalities, over 400 in the country. The national forest inventory (NFI) that utilises field data only provides estimates for 14 administrative areas called forestry centres (Fig. 1.1), as well as for some smaller areas. The methods and results of the first country-level MS-NFI, MS-NFI8, are presented in Tomppo et al. (1998b). This book introduces the new methods, developed and employed during MS-NFI9, as well as the municipality level estimates of MS-NFI9, based on field data of NFI9 (1996–2003). The estimates obtained by MS-NFI are part of the official NFI statistics in Finland, some of which are available via the internet (Metinfo 2007). There are several error sources and therefore many difficulties related to the MS-NFI method. Consequently, the method is more or less under continuous development. The main differences in the new k-NN method introduced during MS-NFI9 compared to the earlier k-NN method employed during MS-NFI8 are: (1) the use of functions of spectral features in addition to spectral bands in the distance metric

E. Tomppo et al. Multi-Source National Forest Inventory, © Springer Science + Business Media B.V. 2008

89

90

5 Discussion

(as predictors), (2) the use of coarse scale forest variables as additional features in the distance metric (as predictors), (3) optimization of the weights for all predictors in k-NN using a genetic algorithm (the new algorithm with these properties is called an ik-NN algorithm), and (4) the use of a statistical correction method to reduce the effect of map errors in the municipality-level estimates. Furthermore, increased emphasis in the MS-NFI9 was placed on accuracy. All estimation parameters were selected on the basis of numerous validations of the estimates at pixel level, and especially when concerning groups of municipalities. The availability of a full field-plot dataset for the entire country in MS-NFI9, as opposed to a subsample in southernmost Finland in MS-NFI8 also decreased the errors. Consequently, the MS-NFI9 estimates can be considered to be more accurate than the MS-NFI8 estimates (see Section 4.3). The differences between MS-NFI8 and MS-NFI9 estimates should be taken into account when comparing municipality-level aggregates of pixel-level predictions. Due to many different possibilities provided by method developments in the methodology, the application of ik-NN algorithm demands quite a lot of fine-tuning, depending on the satellite image and on the target area in question. The MS-NFI results, the municipality level estimates and maps, are employed by forestry authorities, forest industries, and other interest groups as follows: 1. Forestry centres use the results for assessing the differences in forest resources, and also to some extent, silvicultural needs and cutting possibilities between municipalities within a Forestry centre, as well as calibrating their own management inventory estimates. To fulfil the information needs concerning small areas was the original purpose of the MS-NFI in the late 1980s. 2. Forest industries employ the results in their timber procurement planning by integrating forest holding boundaries and ownership information into the map predictions. 3. Research and nature protection agencies use the MS-NFI results, together with NFI field data for analysing the landscape-level biodiversity, as well as the need and possibilities for nature protection, etc. 4. The MS-NFI output maps can serve as forest model for different types of studies, e.g., sampling simulation studies for assessing the efficiencies of different field sampling designs of forest inventories. This type of simulations has been used in the Finnish NFI since 1992 for NFI8 in North Finland (Henttonen 1991; Tomppo et al. 2001b). For further examples, see Tomppo et al. (2008). The most serious limitation of the application of MS-NFI method is related to the availability of satellite images. Landsat 7 with ETM+ mitigated the problem temporarily, and the new satellites, e.g., Spot HRV XS and the Indian IRS-1 C LISS offer a more permanent solution. In spite of these achievements, possible cloud coverage restricts the availability of satellite images at the time of field measurements. The lack of an analytical method for deriving error estimates of an arbitrary area, i.e., groups of pixels, has been considered as a limitation of the k-NN technique.

5 Discussion

91

In the Finnish applications, this problem has been overcome by validating the estimates at the level of groups of municipalities, i.e., in areas for which error estimates can be computed using field data only. Recent progress in analytic error estimation methods offers some hope for a solution to this old problem (McRoberts et al. 2007; Kim and Tomppo 2006). There are several reasons for the difficulties in deriving an analytical error estimator for an arbitrary area. One reason is the fact that the pixel level residuals depend on the actual value of the variable in question. They are therefore spatially correlated. Practical applications have shown that the errors are strongly dependent upon how the reference set for the potential neighbours is restricted, and thus on how a satellite image covers the target area in question. This is a particularly important factor in cases of trend-like changes in forest variables, such as occur over most parts of Finland (Figs. 1 and 2, Appendix 2). There are also many error sources that are not easy to handle in an analytic way. For example, Tomppo et al. (1998b, 2006b) and Katila (2004) list the following error sources: 1. Measurement errors in the field data. 2. Model errors in the field data (volume etc. models for predicting volumes for sample trees). 3. Errors in predicting volumes for tallied trees. 4. The fact that information of an image pixel and the corresponding field information often come from different areas, the pixel size or shape is different from field plot size or shape. Sampling may also be employed when measuring trees on a plot so that the field data that may affect the spectral data are not known. Variations in the ground vegetation composition under a similar growing stock can also cause variations in spectral values not represented in the growing stock. 5. Location error in field plots and corresponding image pixels. 6. Temporal difference in field data and image data. This error occurs in cases where image acquisition from the same time point of field measurements is not possible. 7. The radiometric resolutions of the satellite sensors are not able to capture all variations in the field. 8. Scattering of light by the atmosphere so that the information for a pixel is affected by the areas surrounding the corresponding ground element. 9. Limitations in the imaging techniques, e.g., some sensors interpolate the spectral values in the boundary regions of an image. 10. Limitations in the reference data. The reference field data do not cover the entire variation of the field variables of the target area. 11. Limitations in any ancillary data employed, e.g., numerical map data are out-of-date. 12. In a fragmented landscape, a large number of mixed boundary pixels, pixels including information from several land classes, e.g., forest land, arable land, may decrease the accuracy of the estimates. This problem is also related to the spatial resolution of the remote sensing instrument. 13. The topographic correction model or reflectance model is not well-defined.

92

5 Discussion

At the pixel level, the prediction errors measured with relative RMSE have been high in several multi-source studies, e.g. 50–80% for field plot volume predictions (Tokola et al. 1996; Nilsson 1997; Katila and Tomppo 2001). However, crossvalidation probably gives an overestimate of the average error since the target pixel plot includes the location error of the NFI field plot. It should also be noted that these are average error estimates and the errors depend on the actual value of the variable. It should also be noted that root mean square error based on leave-one-out cross-validation is not a direct error estimate. Kim and Tomppo (2006) presented a model-based method for assessing the uncertainty of pixel-level predictions. A model-based method was also employed by McRoberts et al. (2007) for assessing errors for an area of an arbitrary size. On the basis of the comparisons of the MS-NFI9 estimates with the estimates calculated from independent data sets, the coefficient of variation for the mean volume of growing stock for areas of about 10,000 ha is of a magnitude of about 5%, and for areas of 100 ha it is about 10–15% (Fig. 4.5a). The errors of the area estimates of different development classes for a total forest land area of 10,000 ha varies between 10–30% when the areas of the classes varied from 500 to 2,800 ha. An interesting question is whether or not MS-NFI products could be applied in management inventories. These inventories are made for forest holdings and the information unit is the treatment unit what is called a forest stand. Treatment units typically range in size from 0.5 to about 5 ha. Management inventories should provide, in addition to growing stock volume estimates, the silvicultural treatment requirements and cutting possibilities at both the stand- and forest holding levels, as the NFI provides for large areas. The relative RMSE of the volume of growing stock at the stand level is often in management inventories between 15–25%. It is difficult to achieve that accuracy with a satellite image-based MS-NFI, and even more difficult to identify stand-level treatment needs. The MS-NFI estimates are not therefore considered accurate enough for planning silviculture, cutting regimes, and other forestry operations at forest holding level. Nevertheless, the estimates of management inventories are often highly biased so that large area aggregates are not usable as large area forest resource estimates. In the future, the MS-NFI estimates will be calculated every second year for the greater part of the country and every fourth year for northernmost Finland. The regular up-date of MS-NFI products will increase their applicability and widen the utilisation of the products in forestry. Successive MS-NFI estimates and predictions could also be employed in decreasing the errors through logical inspections of the successive estimates.

Appendix 1

Forest Resource

Table 1 Area and proportion of land classes on forestry land (By forestry centres).

Forest land (ha) (%) Åland Municipality 35 Brändö 43 Eckerö 60 Finström 62 Föglö 65 Geta 76 Hammarland 170 Jomala 295 Kumlinge 318 Kökar 417 Lemland 438 Lumparland 478 Mariehamn 736 Saltvik 766 Sottunga 771 Sund 941 Vårdö Total Multi-source inventory Field inventory SE of field inventory

Poorly productive forest land (ha) (%)

Unproductive land (ha) (%)

Total (ha)

(%)

2,901 5,515 6,330 6,196 3,323 6,953 7,551 3,225 1,304 6,350 1,693 459 6,231 874 5,157 3,732

32.9 60.3 72.8 58.0 49.2 68.6 77.8 40.2 27.0 70.9 61.0 63.2 55.7 39.9 63.9 44.4

2,638 2,353 1,705 2,798 2,427 2,296 1,529 2,305 594 1,700 813 172 3,463 519 2,233 2,792

29.9 25.7 19.6 26.2 35.9 22.7 15.8 28.7 12.3 19.0 29.3 23.6 30.9 23.7 27.7 33.2

3,290 1,278 654 1,696 1,006 884 629 2,496 2,933 911 268 96 1,500 794 678 1,886

37.3 14.0 7.5 15.9 14.9 8.7 6.5 31.1 60.7 10.2 9.7 13.2 13.4 36.3 8.4 22.4

8,829 9,146 8,690 10,691 6,757 10,133 9,709 8,027 4,831 8,960 2,774 727 11,194 2,188 8,069 8,411

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

67,794

56.9

30,338

25.5

21,001

17.6

119,133

100.0

61,652 2,597

52.9

27,326 2,259

23.5

27,461 2,151

23.6

116,439 2,854

100.0

69.0 90.3 76.4

4,109 1,334 1,627

18.8 7.9 18.2

2,681 310 489

12.3 1.8 5.5

21,882 16,901 8,960

100.0 100.0 100.0

Rannikko/Etelärannikko Municipality 40 Dragsfjärd 15,092 49 Espoo-Esbo 15,256 78 Hanko-Hangö 6,845

(continued)

93

94

Appendix 1

Table 1 (continued)

Forest land (ha) (%) 91 HelsinkiHelsingfors 101 HoutskärHoutskari 149 Ingå-Inkoo 150 Iniö 220 Karis-Karjaa 235 KauniainenGrankulla 243 Kimito-Kemiö 257 KirkkonummiKyrkslätt 279 Korpo-Korppoo 407 LapinjärviLappträsk 424 Liljendal 434 533 573 585 606 638 701 753 755 835 923 Total

Loviisa-Lovisa Nagu-Nauvo Pargas-Parainen Pernå-Pernaja Pohja-Pojo Porvoo-Borgå RuotsinpyhtääStrömfors Sipoo-Sibbo Siuntio-Sjundeå EkenäsTammisaari Västanfjärd Multi-source inventory Field inventory SE of field inventory

Rannikko/Pohjanmaa Municipality 231 Kaskinen-Kaskö 272 Kokkola-Karleby 280 Korsnäs 287 KristinestadKristiinankaupunki 288 KronobyKruunupyy

Poorly productive forest land Unproductive land (ha) (%) (ha) (%) (ha)

Total (%)

6,526

92.4

270

3.8

269

3.8

7,064

100.0

6,782

69.5

2,532

25.9

445

4.6

9,759

100.0

17,372 3,692 11,293 201

82.1 68.6 91.5 90.8

3,313 1,606 803 17

15.7 29.9 6.5 7.9

467 83 244 3

2.2 1.6 2.0 1.4

21,152 5,381 12,340 222

100.0 100.0 100.0 100.0

17,390 18,714

83.3 81.8

2,574 3,545

12.3 15.5

914 629

4.4 2.8

20,879 22,888

100.0 100.0

8,400 17,240

59.8 95.2

3,535 770

25.2 4.3

2,113 109

15.0 0.6

14,048 18,119

100.0 100.0

5,759

95.4

266

4.4

11

0.2

6,035

100.0

2,747 13,006 14,554 25,824 14,898 36,430 16,058

94.2 66.9 80.6 94.0 88.4 92.9 93.8

148 4,970 2,748 1,319 1,567 2,188 729

5.1 25.6 15.2 4.8 9.3 5.6 4.3

22 1,458 767 331 384 592 341

0.7 7.5 4.2 1.2 2.3 1.5 2.0

2,917 19,433 18,069 27,473 16,849 39,210 17,128

100.0 100.0 100.0 100.0 100.0 100.0 100.0

19,591 12,412 43,767

93.7 91.6 81.0

890 985 8,423

4.3 7.3 15.6

435 158 1,863

2.1 1.2 3.5

20,916 13,555 54,053

100.0 100.0 100.0

5,701

78.4

1,202

16.5

369

5.1

7,273

100.0

365,663

84.4

51,791

12.0

15,666

3.6

433,120

100.0

352,322 11,149

82.3

49,011 3,905

11.4

26,886 2,869

6.3

428,219 11,261

100.0

646 20,883 17,422 47,508

87.5 91.7 92.8 94.9

44 1,203 425 1,529

6.0 5.3 2.3 3.1

48 677 937 1,009

6.6 3.0 5.0 2.0

739 22,763 18,784 50,046

100.0 100.0 100.0 100.0

48,811

89.3

3,694

6.8

2,154

3.9

54,659

100.0

(continued)

Appendix 1

95

Table 1 (continued)

Forest land (ha) (%)

Poorly productive forest Unproductive land land (ha) (%) (ha) (%)

Total (ha)

(%)

475 Malax-Maalahti 499 KorsholmMustasaari 545 Närpes-Närpiö 559 OravaisOravainen 598 JakobstadPietarsaari 599 PedersörePedersören kunta 893 NykarlebyUusikaarlepyy 905 Vaasa-Vasa

35,308 53,950

90.2 90.7

1,521 2,982

3.9 5.0

2,318 2,577

5.9 4.3

39,148 59,510

100.0 100.0

64,237 12,657

91.7 87.6

2,999 1,099

4.3 7.6

2,787 696

4.0 4.8

70,022 14,452

100.0 100.0

5,554

91.0

365

6.0

183

3.0

6,103

100.0

54,234

91.4

4,053

6.8

1,066

1.8

59,354

100.0

48,853

90.6

3,345

6.2

1,731

3.2

53,928

100.0

10,008

94.0

269

2.5

370

3.5

10,647

100.0

945 Vörå-MaxmoVöyriMaksamaa Total Multi-source inventory Field inventory SE of field inventory

38,777

92.1

1,784

4.2

1,563

3.7

42,123

100.0

468,578

91.3

26,101

5.1

18,707

3.6

513,386

100.0

471,081 13,025

89.9

24,259 3,317

4.6

28,773 3,714

5.5

524,113 13,665

100.0

11,929 2,821 3,955 28,339 21,612 17,931 7,124 21,286 19,817 12,659 2,133 45,693 32,087 14,036 9,179 16,899 6,792 28,774 7,954 9,075

93.7 87.7 94.3 93.6 94.3 92.2 90.5 87.4 89.0 93.0 85.9 89.9 85.6 93.1 94.6 92.8 96.6 92.7 96.2 76.5

401 315 153 1,009 678 1,159 295 1,369 692 588 302 2,421 2,419 717 283 803 123 850 217 2,599

3.2 9.8 3.6 3.3 3.0 6.0 3.8 5.6 3.1 4.3 12.2 4.8 6.5 4.8 2.9 4.4 1.8 2.7 2.6 21.9

398 82 85 929 620 365 451 1,713 1,750 363 49 2,696 2,965 322 239 501 120 1,429 100 190

3.1 2.6 2.0 3.1 2.7 1.9 5.7 7.0 7.9 2.7 2.0 5.3 7.9 2.1 2.5 2.8 1.7 4.6 1.2 1.6

12,727 3,219 4,193 30,276 22,910 19,455 7,871 24,368 22,259 13,610 2,484 50,809 37,471 15,075 9,701 18,203 7,035 31,053 8,271 11,864

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

Lounais-Suomi Municipality 6 Alastaro 17 Askainen 19 Aura 50 Eura 51 Eurajoki 73 Halikko 79 Harjavalta 99 Honkajoki 102 Huittinen 181 Jämijärvi 202 Kaarina 214 Kankaanpää 230 Karvia 252 Kiikala 254 Kiikoinen 259 Kisko 262 Kiukainen 271 Kokemäki 284 Koski Tl 304 Kustavi

(continued)

96

Appendix 1

Table 1 (continued)

319 400 406 413 419 423 430 442 480 481 482 484 485 501 503 529 531 537 538 561 577 586 587 602 608 609 631 636 680 684 704 705 734 738 747 761 776 783 784 833 838 853 886 895 906

Köyliö Laitila Lappi Lavia Lemu Lieto Loimaa Luvia Marttila Masku Mellilä Merikarvia Merimasku Muurla Mynämäki Naantali Nakkila Noormarkku Nousiainen Oripää Paimio Perniö Pertteli Piikkiö Pomarkku Pori Pyhäranta Pöytyä Raisio Rauma Rusko Rymättylä Salo Sauvo Siikainen Somero Suomusjärvi Säkylä Särkisalo-Finby Taivassalo Tarvasjoki Turku-Åbo Ulvila Uusikaupunki Vahto

Forest land (ha) (%)

Poorly productive forest land (ha) (%)

Unproductive land (ha) (%)

Total (ha)

(%)

14,728 32,419 13,377 23,035 1,796 8,849 17,811 11,884 9,100 4,264 3,567 32,445 2,657 4,156 31,242 2,371 8,730 24,421 10,782 5,558 11,144 23,117 6,626 3,813 22,706 28,219 9,582 20,526 1,852 17,904 2,262 7,163 7,403 11,946 33,928 33,174 10,927 9,646 5,314 6,217 4,357 8,802 27,364 28,411 4,177

874 1,666 666 795 152 546 642 137 365 419 246 779 422 221 1,938 376 160 837 739 216 1,172 1,534 299 433 825 516 412 930 227 1,045 162 2,241 317 1,362 1,199 887 559 608 406 1,310 130 1,128 1,071 2,939 220

774 1,577 284 670 69 105 734 143 545 220 199 2,500 42 74 1,704 40 167 831 486 325 172 488 79 62 1,283 709 164 1,081 48 343 45 114 80 265 3,159 659 211 178 86 118 41 285 870 979 298

16,376 35,661 14,327 24,500 2,016 9,500 19,186 12,164 10,010 4,903 4,013 35,724 3,121 4,451 34,884 2,787 9,056 26,089 12,008 6,099 12,488 25,138 7,003 4,309 24,815 29,443 10,158 22,537 2,127 19,292 2,469 9,519 7,800 13,573 38,286 34,720 11,697 10,432 5,807 7,645 4,528 10,215 29,305 32,329 4,695

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

89.9 90.9 93.4 94.0 89.1 93.2 92.8 97.7 90.9 87.0 88.9 90.8 85.1 93.4 89.6 85.1 96.4 93.6 89.8 91.1 89.2 92.0 94.6 88.5 91.5 95.8 94.3 91.1 87.1 92.8 91.6 75.3 94.9 88.0 88.6 95.6 93.4 92.5 91.5 81.3 96.2 86.2 93.4 87.9 89.0

5.3 4.7 4.7 3.2 7.5 5.8 3.3 1.1 3.7 8.6 6.1 2.2 13.5 5.0 5.6 13.5 1.8 3.2 6.2 3.5 9.4 6.1 4.3 10.1 3.3 1.8 4.1 4.1 10.7 5.4 6.6 23.5 4.1 10.0 3.1 2.6 4.8 5.8 7.0 17.1 2.9 11.0 3.7 9.1 4.7

4.7 4.4 2.0 2.7 3.4 1.1 3.8 1.2 5.5 4.5 5.0 7.0 1.3 1.7 4.9 1.4 1.8 3.2 4.1 5.3 1.4 1.9 1.1 1.4 5.2 2.4 1.6 4.8 2.3 1.8 1.8 1.2 1.0 2.0 8.3 1.9 1.8 1.7 1.5 1.6 0.9 2.8 3.0 3.0 6.4

(continued)

Appendix 1

97

Table 1 (continued)

Forest land (ha) (%) 918 Vehmaa 920 Velkua 979 Yläne Total Multi-source inventory Field inventory SE of field inventory Häme-Uusimaa Municipality 15 Artjärvi 16 Asikkala 18 Askola 61 Forssa 81 Hartola 82 Hattula 83 Hauho 86 Hausjärvi 98 Hollola 103 Humppila 106 Hyvinkää 109 Hämeenlinna 111 Heinola 165 Janakkala 169 Jokioinen 186 Järvenpää 210 Kalvola 223 Karjalohja 224 Karkkila 245 Kerava 283 Hämeenkoski 316 Kärkölä 398 Lahti 401 Lammi 433 Loppi 444 Lohja-Lojo 504 MyrskyläMörskom 505 Mäntsälä 532 Nastola 540 Nummi-Pusula 543 Nurmijärvi 560 Orimattila

9,167 1,684 23,763

89.7 72.9 88.6

Poorly productive forest Unproductive land land (ha) (%) (ha) (%)

Total (ha)

(%)

818 605 1,692

8.0 26.2 6.3

236 21 1,365

2.3 0.9 5.1

10,221 100.0 2,310 100.0 26,819 100.0

975,878

91.1 54,820

5.1

40,410

3.8

1,071,108 100.0

982,958 17,233

90.7 61,728 5,090

5.7

39,131 4,851

3.6

1,083,816 100.0 18,325

9,454 43,000 12,160 13,752 43,942 25,321 24,577 20,066 29,714 7,185 19,441 10,732 56,862 33,594 8,022 1,497 22,318 7,612 16,205 1,459 11,927 13,607 7,922 39,244 41,559 16,183 12,366

96.0 98.0 97.8 96.4 97.8 95.7 98.0 97.3 97.9 96.2 96.6 98.1 97.2 97.2 97.5 97.5 98.0 95.8 98.6 98.3 98.7 96.8 96.9 98.3 98.1 98.8 96.7

338 610 193 187 360 457 239 351 273 150 435 112 1,311 469 52 24 194 213 126 17 64 237 131 334 448 108 304

3.4 1.4 1.6 1.3 0.8 1.7 1.0 1.7 0.9 2.0 2.2 1.0 2.2 1.4 0.6 1.6 0.9 2.7 0.8 1.1 0.5 1.7 1.6 0.8 1.1 0.7 2.4

57 271 76 321 613 694 273 213 363 132 255 95 340 502 158 14 254 122 108 8 90 213 120 363 368 90 117

0.6 0.6 0.6 2.3 1.4 2.6 1.1 1.0 1.2 1.8 1.3 0.9 0.6 1.5 1.9 0.9 1.1 1.5 0.7 0.5 0.7 1.5 1.5 0.9 0.9 0.6 0.9

9,850 43,881 12,429 14,259 44,915 26,472 25,088 20,630 30,350 7,467 20,131 10,940 58,514 34,564 8,232 1,535 22,767 7,948 16,439 1,484 12,080 14,056 8,172 39,941 42,375 16,382 12,787

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

33,332 22,673 29,559 17,836 34,803

97.0 95.7 98.4 97.6 96.6

612 856 263 338 776

1.8 3.6 0.9 1.9 2.2

436 176 213 107 439

1.3 0.7 0.7 0.6 1.2

34,380 23,705 30,035 18,280 36,018

100.0 100.0 100.0 100.0 100.0

(continued)

98

Appendix 1

Table 1 (continued)

Forest land (ha) (%)

Poorly productive forest Unproductive land land (ha) (%) (ha) (%)

Total (ha)

(%)

611 616 692 694 737 781 834

Pornainen Pukkila Renko Riihimäki Sammatti Sysmä Tammela

8,523 7,463 18,879 6,719 4,475 52,235 43,777

97.4 97.6 96.5 97.7 96.7 98.8 92.5

145 106 340 108 109 288 846

1.7 1.4 1.7 1.6 2.4 0.5 1.8

81 75 352 50 45 361 2,689

0.9 1.0 1.8 0.7 1.0 0.7 5.7

8,749 7,644 19,570 6,878 4,629 52,884 47,312

100.0 100.0 100.0 100.0 100.0 100.0 100.0

855 858 927 981 Total

Tuulos Tuusula Vihti Ypäjä

11,998 10,554 32,009 7,925

97.9 97.5 98.5 97.1

151 197 336 105

1.2 1.8 1.0 1.3

110 69 148 131

0.9 0.6 0.5 1.6

12,259 10,820 32,492 8,161

100.0 100.0 100.0 100.0

936,899

97.4

13,576

1.4

11,960

1.2

962,434

100.0

942,035 15,514

97.6

12,070 2,000

1.3

11,228 2,647

1.2

965,333 15,603

100.0

19,440 43,769 39,462 9,564 34,776 20,147 17,930 2,121 6,847 53,707 15,824 58,765 31,786 42,033 20,329 28,004 78,786 41,818 48,060 24,254 27,621 63,518 26,409 30,442

98.0 96.0 97.3 99.0 97.2 99.0 94.3 97.6 97.9 98.5 98.6 96.8 97.3 98.8 92.5 99.2 98.2 97.2 95.1 97.2 98.6 96.5 95.6 96.8

317 1,106 810 58 661 122 685 29 92 331 119 1,010 482 240 1,072 143 1,016 749 1,242 485 274 1,351 641 460

1.6 2.4 2.0 0.6 1.9 0.6 3.6 1.3 1.3 0.6 0.7 1.7 1.5 0.6 4.9 0.5 1.3 1.7 2.5 1.9 1.0 2.1 2.3 1.5

82 720 274 42 330 89 397 24 58 468 110 911 413 257 585 88 416 458 1,230 216 133 960 580 550

0.4 1.6 0.7 0.4 0.9 0.4 2.1 1.1 0.8 0.9 0.7 1.5 1.3 0.6 2.7 0.3 0.5 1.1 2.4 0.9 0.5 1.5 2.1 1.8

19,840 45,595 40,546 9,664 35,767 20,358 19,012 2,174 6,998 54,506 16,052 60,686 32,680 42,530 21,986 28,235 80,217 43,025 50,531 24,954 28,028 65,829 27,630 31,452

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

Multi-source inventory Field inventory SE of field inventory Kaakkois-Suomi Municipality 44 Elimäki 75 Hamina 142 Iitti 153 Imatra 163 Jaala 173 Joutseno 285 Kotka 286 Kouvola 306 Kuusankoski 405 Lappeenranta 416 Lemi 441 Luumäki 489 Miehikkälä 580 Parikkala 624 Pyhtää-Pyttis 689 Rautjärvi 700 Ruokolahti 739 Savitaipale 754 Anjalankoski 775 Suomenniemi 831 Taipalsaari 909 Valkeala 935 Virolahti 978 Ylämaa

(continued)

Appendix 1

99

Table 1 (continued)

Forest land (ha) (%)

Poorly productive forest Unproductive land land (ha) (%) (ha) (%)

Total (ha)

(%)

Multi-source inventory

785,412

97.2

13,495

1.7

9,390

1.2

808,296

100.0

Field inventory SE of field inventory

779,945 11,763

96.8

12,037 2,319

1.5

13,405 2,356

1.7

805,387 11,819

100.0

5,498 31,776 55,650 20,120 35,165 26,950 12,971 59,309 11,637 18,902 17,786 4,617 20,725 62,179 63,177 5,466 18,914 41,958 62,002 37,188 31,101 17,468 56,268 21,435 38,037 91,247 29,092 16,149

97.5 97.8 96.3 97.9 98.4 93.0 98.1 95.1 98.2 98.9 98.2 98.4 98.8 98.3 89.9 99.0 93.8 98.6 97.0 98.5 96.5 98.2 97.7 98.6 98.1 94.0 98.2 98.2

50 493 1,340 253 358 1,053 147 1,525 126 104 229 38 165 647 3,829 29 631 392 916 313 588 156 814 184 389 2,613 307 214

0.9 1.5 2.3 1.2 1.0 3.6 1.1 2.5 1.1 0.5 1.3 0.8 0.8 1.0 5.5 0.5 3.1 0.9 1.4 0.8 1.8 0.9 1.4 0.9 1.0 2.7 1.0 1.3

91 220 824 183 222 986 100 1,537 89 116 107 39 83 459 3,275 28 629 226 986 249 538 157 520 123 333 3,262 242 89

1.6 0.7 1.4 0.9 0.6 3.4 0.8 2.5 0.8 0.6 0.6 0.8 0.4 0.7 4.7 0.5 3.1 0.5 1.5 0.7 1.7 0.9 0.9 0.6 0.9 3.4 0.8 0.5

5,639 32,489 57,814 20,555 35,746 28,989 13,218 62,371 11,852 19,121 18,122 4,694 20,973 63,285 70,281 5,523 20,174 42,576 63,904 37,750 32,227 17,781 57,603 21,742 38,759 97,122 29,641 16,452

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

912,787

96.5

17,906

1.9

15,712

1.7

946,405

100.0

902,649 13,335

96.6

15,425 2,149

1.6

16,802 3,418

1.8

934,877 13,314

100.0

28,556 94,851

99.1 99.1

149 582

0.5 0.6

102 327

0.4 0.3

28,806 95,760

100.0 100.0

Total

Pirkanmaa Municipality 20 Akaa 108 Hämeenkyrö 143 Ikaalinen 177 Juupajoki 211 Kangasala 250 Kihniö 289 Kuhmalahti 303 Kuru 310 Kylmäkoski 418 Lempäälä 493 Mouhijärvi 506 Mänttä 536 Nokia 562 Orivesi 581 Parkano 604 Pirkkala 619 Punkalaidun 635 Pälkäne 702 Ruovesi 837 Tampere 887 Urjala 908 Valkeakoski 912 Vammala 922 Vesilahti 933 Vilppula 936 Virrat 980 Ylöjärvi 988 Äetsä Total Multi-source inventory Field inventory SE of field inventory Etelä-Savo Municipality 46 Enonkoski 90 Heinävesi

(continued)

100

Appendix 1

Table 1 (continued)

Forest land (ha) (%) 171 178 213 246 491 507 588 593 618 623 681 696 740 741 768 Total

Joroinen Juva Kangasniemi Kerimäki Mikkeli Mäntyharju Pertunmaa Pieksämäki Punkaharju Puumala Rantasalmi Ristiina Savonlinna Savonranta Sulkava Multi-source inventory Field inventory SE of field inventory

Etelä-Pohjanmaa Municipality 4 Alahärmä 5 Alajärvi 10 Alavus 52 Evijärvi 74 Halsua 95 Himanka 145 Ilmajoki 151 Isojoki 152 Isokyrö 164 Jalasjärvi 175 Jurva 217 Kannus 218 Karijoki 232 Kauhajoki 233 Kauhava 236 Kaustinen 281 Kortesjärvi 300 Kuortane 301 Kurikka 315 Kälviä 399 Laihia

45,972 98,751 91,338 49,494 141,769 84,632 31,954 133,880 43,065 71,036 46,178 48,545 70,641 34,710 50,778

Poorly productive forest Unproductive land land (ha) (%) (ha) (%)

Total (ha)

(%)

97.6 97.3 97.6 97.6 96.6 97.7 97.9 96.3 98.6 97.4 98.4 97.8 98.2 99.2 98.3

826 1,982 1,568 721 3,141 1,415 364 3,332 326 1,667 330 801 944 101 616

1.8 2.0 1.7 1.4 2.1 1.6 1.1 2.4 0.8 2.3 0.7 1.6 1.3 0.3 1.2

330 727 682 495 1,797 554 323 1,884 283 243 437 294 340 195 282

0.7 0.7 0.7 1.0 1.2 0.6 1.0 1.4 0.7 0.3 0.9 0.6 0.5 0.6 0.6

1,206,273 97.6

19,520

1.6

9,697

0.8

1,235,489 100.0

1,199,391 97.7 9,318

20,291 2,779

1.7

8,339 2,075

0.7

1,228,021 100.0 9,021

2,203 4,671 3,677 2,008 3,622 916 1,293 4,317 1,222 3,477 1,723 1,886 866 9,413 1,842 3,061 1,521 2,056 1,574 5,935 1,785

10.0 8.1 6.2 7.2 10.3 5.0 3.5 8.0 5.8 6.2 5.0 6.0 6.5 9.7 5.9 10.7 6.2 5.9 5.3 10.3 4.8

1,058 2,474 2,303 1,177 3,979 612 1,086 3,175 970 1,881 1,409 1,377 292 4,940 831 2,437 951 976 668 6,421 2,483

4.8 4.3 3.9 4.2 11.3 3.4 2.9 5.9 4.6 3.4 4.1 4.4 2.2 5.1 2.7 8.5 3.9 2.8 2.3 11.2 6.7

18,868 50,848 53,169 24,776 27,614 16,645 34,858 46,773 19,061 50,529 31,221 28,294 12,098 82,645 28,501 23,201 22,206 31,586 27,280 45,085 32,596

85.3 87.7 89.9 88.6 78.4 91.6 93.6 86.2 89.7 90.4 90.9 89.7 91.3 85.2 91.4 80.8 90.0 91.2 92.4 78.5 88.4

47,127 101,460 93,587 50,711 146,707 86,601 32,642 139,096 43,674 72,946 46,946 49,640 71,925 35,005 51,676

22,129 57,992 59,149 27,961 35,215 18,173 37,237 54,264 21,253 55,887 34,354 31,556 13,257 96,998 31,175 28,699 24,678 34,618 29,521 57,440 36,864

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

Appendix 1

101

Table 1 (continued)

Forest land (ha) (%) 403 408 414 421 429 544 584 743 759 846 849 863 885 924 934 942 971 975 989 Total

Lappajärvi Lapua Lehtimäki Lestijärvi Lohtaja Nurmo Perho Seinäjoki Soini Teuva Toholampi Töysä Ullava Veteli Vimpeli Vähäkyrö Ylihärmä Ylistaro Ähtäri Multi-source inventory Field inventory SE of field inventory

Keski-Suomi Municipality 77 Hankasalmi 172 Joutsa 179 Jyväskylä 180 Jyväskylän mlk 182 Jämsä 183 Jämsänkoski 216 Kannonkoski 226 Karstula 249 Keuruu 256 Kinnula 265 Kivijärvi 275 Konnevesi 277 Korpilahti 291 Kuhmoinen 312 Kyyjärvi 410 Laukaa

28,770 42,756 18,070 33,203 28,904 23,187 52,997 34,695 40,570 35,878 36,130 21,314 10,740 32,791 18,871 8,897 6,822 27,805 63,995

88.7 89.1 82.9 76.6 87.0 88.1 79.8 89.6 86.9 88.4 79.9 93.5 83.5 80.6 85.5 96.2 83.1 91.9 93.0

Poorly productive forest Unproductive land land (ha) (%) (ha) (%) 2,166 3,346 2,393 4,570 2,997 1,756 4,551 2,219 3,576 2,768 4,254 1,062 1,160 4,151 1,837 194 1,004 1,772 3,134

6.7 7.0 11.0 10.5 9.0 6.7 6.9 5.7 7.7 6.8 9.4 4.7 9.0 10.2 8.3 2.1 12.2 5.9 4.6

1,510 1,891 1,332 5,595 1,320 1,371 8,846 1,832 2,550 1,931 4,840 408 964 3,761 1,367 160 384 680 1,667

4.7 3.9 6.1 12.9 4.0 5.2 13.3 4.7 5.5 4.8 10.7 1.8 7.5 9.2 6.2 1.7 4.7 2.3 2.4

Total (ha)

(%)

32,446 47,992 21,794 43,368 33,220 26,313 66,394 38,745 46,696 40,577 45,224 22,785 12,864 40,703 22,075 9,252 8,210 30,256 68,795

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

1,274,246

86.9 107,981

7.4

83,904

5.7

1,466,131 100.0

1,273,958 21,274

86.9 100,659 6,353

6.9

91,430 8,630

6.2

1,466,046 100.0 22,397

99.5 99.2 99.4 99.2 98.5 98.4 98.5 93.6 97.1 92.1 94.4 99.2 99.3 98.8 85.6 99.3

0.4 0.7 0.5 0.7 0.9 1.3 1.5 4.4 2.2 6.1 4.0 0.6 0.6 1.2 9.9 0.6

54 29 6 38 505 114 16 1,524 775 757 719 97 46 12 1,687 34

0.1 0.1 0.1 0.1 0.5 0.3 0.0 2.0 0.7 1.8 1.6 0.2 0.1 0.0 4.5 0.1

46,133 40,684 7,060 35,511 95,834 34,037 39,056 70,804 107,448 37,842 41,265 43,657 51,878 56,902 32,016 49,309

172 287 37 236 915 452 590 3,301 2,413 2,495 1,733 244 332 667 3,713 296

46,358 41,000 7,103 35,784 97,254 34,604 39,662 75,630 110,636 41,094 43,717 43,998 52,257 57,581 37,416 49,639

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

102

Appendix 1

Table 1 (continued)

Forest land (ha) (%) 415 435 495 500 592 601 633 729 850 892 931 992 Total

Leivonmäki Luhanka Multia Muurame Petäjävesi Pihtipudas Pylkönmäki Saarijärvi Toivakka Uurainen Viitasaari Äänekoski

Poorly productive forest Unproductive land land (ha) (%) (ha) (%)

Total (ha)

(%)

31,627 17,989 63,567 11,614 39,121 88,388 29,935 73,629 30,365 29,541 106,801 73,017

97.0 99.3 95.9 99.4 98.7 95.3 95.0 98.5 99.3 98.2 98.5 98.8

778 112 1,962 60 414 3,404 1,116 835 186 412 1,319 726

2.4 0.6 3.0 0.5 1.0 3.7 3.5 1.1 0.6 1.4 1.2 1.0

204 18 722 9 121 989 449 278 24 123 284 147

0.6 0.1 1.1 0.1 0.3 1.1 1.4 0.4 0.1 0.4 0.3 0.2

Multi-source 1,385,031 inventory Field inventory 1,374,074 SE of field 12,911 inventory

97.3

29,209

2.1

9,781

0.7

1,424,021 100.0

96.4

35,528 4,205

2.5

15,652 3,122

1.1

1,425,253 100.0 12,769

98.9 98.5 98.1 99.0 97.8 96.5 99.4 98.3 99.3 99.0 98.1 97.5 99.1 90.9 99.1 93.0 99.1 99.2 98.9 99.0 97.4 99.3 95.8

495 320 708 242 649 2,248 351 492 293 195 627 1,510 221 5,019 113 5,167 204 109 279 139 596 159 1,896

0.9 0.9 1.2 0.6 1.6 2.2 0.4 1.0 0.3 0.6 1.1 1.6 0.5 4.8 0.4 4.0 0.3 0.4 0.6 0.4 1.5 0.5 2.5

144 234 446 154 267 1,337 182 327 384 143 485 956 210 4,547 137 3,912 336 119 207 180 434 86 1,324

0.3 0.6 0.7 0.4 0.7 1.3 0.2 0.7 0.4 0.4 0.8 1.0 0.5 4.3 0.5 3.0 0.6 0.4 0.4 0.6 1.1 0.2 1.7

Pohjois-Savo Municipality 140 Iisalmi 174 Juankoski 204 Kaavi 227 Karttula 239 Keitele 263 Kiuruvesi 297 Kuopio 402 Lapinlahti 420 Leppävirta 476 Maaninka 534 Nilsiä 595 Pielavesi 686 Rautalampi 687 Rautavaara 749 Siilinjärvi 762 Sonkajärvi 778 Suonenjoki 844 Tervo 857 Tuusniemi 915 Varkaus 916 Varpaisjärvi 921 Vesanto 925 Vieremä

56,313 36,552 58,399 40,174 40,129 100,047 91,494 46,826 95,872 34,778 56,139 94,608 44,966 95,281 27,982 121,388 60,436 29,038 45,716 31,767 38,593 34,898 73,791

32,609 18,120 66,251 11,683 39,657 92,782 31,500 74,742 30,575 30,076 108,403 73,890

56,951 37,106 59,554 40,569 41,044 103,631 92,026 47,645 96,550 35,116 57,251 97,074 45,397 104,847 28,232 130,467 60,975 29,266 46,201 32,087 39,623 35,143 77,011

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

Appendix 1

103

Table 1 (continued) Poorly productive forest Unproductive land land (ha) (%) (ha) (%)

Total (ha)

97.2

22,031

1.6

16,550 1.2

1,393,766 100.0

96.5

23,610 2,605

1.7

24,479 1.8 3,615

1,384,232 100.0 12,456

95.3 86.0 96.7 95.1 98.2 98.1 97.5 97.1 92.5 99.1 94.8 95.6 98.4 96.8 97.3 95.3

2,230 15,562 1,836 4,316 368 688 946 397 11,971 340 5,141 1,312 192 518 1,003 2,278

2.6 6.0 1.8 3.2 1.1 1.0 1.4 1.1 3.8 0.6 3.5 2.0 0.9 1.5 1.4 3.2

1,788 20,754 1,546 2,357 225 663 756 667 11,704 190 2,493 1,600 151 616 895 1,050

93.9

49,097

3.1

47,457 3.0

1,578,733 100.0

94.0

45,976 3,844

2.9

49,117 3.1 5,838

1,586,023 100.0 12,377

87.4 87.8 87.4 93.6 84.2 91.3 92.8 83.1 76.4

9,767 13,196 31,743 3,289 22,551 3,754 11,138 49,502 15,677

7.2 7.8 6.8 3.9 9.4 4.7 4.5 9.7 13.1

7,349 7,353 26,809 2,154 15,221 3,212 6,692 36,770 12,438

Forest land (ha) (%)

(%)

Total Multi-source 1,355,185 inventory Field inventory 1,336,144 SE of field 12,879 inventory Pohjois-Karjala Municipality 45 Eno 81,974 146 Ilomantsi 222,086 167 Joensuu 100,525 176 Juuka 129,651 248 Kesälahti 32,857 260 Kitee 70,282 276 Kontiolahti 66,689 309 Outokumpu 35,615 422 Lieksa 293,102 426 Liperi 56,182 541 Nurmes 138,077 607 Polvijärvi 63,658 632 Pyhäselkä 21,200 707 Rääkkylä 34,242 848 Tohmajärvi 67,974 911 Valtimo 68,064 Total Multi-source 1,482,179 inventory Field inventory 1,490,930 SE of field 13,336 inventory Kainuu Municipality 105 Hyrynsalmi 205 Kajaani 290 Kuhmo 578 Paltamo 620 Puolanka 697 Ristijärvi 765 Sotkamo 777 Suomussalmi 785 Vaala

119,104 147,909 406,629 79,873 201,099 72,737 228,929 423,176 91,195

2.1 8.0 1.5 1.7 0.7 0.9 1.1 1.8 3.7 0.3 1.7 2.4 0.7 1.7 1.3 1.5

5.4 4.4 5.8 2.5 6.4 4.0 2.7 7.2 10.4

85,991 258,402 103,907 136,324 33,450 71,634 68,391 36,679 316,777 56,712 145,711 66,570 21,543 35,376 69,872 71,392

136,219 168,458 465,180 85,315 238,870 79,703 246,759 509,448 119,310

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

104

Appendix 1

Table 1 (continued)

Forest land (ha) (%)

Poorly productive forest Unproductive land land Total (ha) (%) (ha) (%) (ha)

(%)

Total Multi-source inventory

1,770,651

Field inventory 1,753,669 SE of field 13,702 inventory Pohjois-Pohjanmaa Municipality 9 Alavieska 69 Haapajärvi 71 Haapavesi 72 Hailuoto 84 Haukipudas 139 Ii 208 Kalajoki 244 Kempele 247 Kestilä 255 Kiiminki 305 Kuusamo 317 Kärsämäki 425 Liminka 436 Lumijoki 483 Merijärvi 494 Muhos 535 Nivala 563 Oulainen 564 Oulu 567 Oulunsalo 603 Piippola 615 Pudasjärvi 617 Pulkkila 625 Pyhäjoki 626 Pyhäsalmi 630 Pyhäntä 678 Raahe 682 Rantsila 691 Reisjärvi 746 Sievi 748 Siikajoki 832 Taivalkoski 859 Tyrnävä 889 Utajärvi 926 Vihanti 972 Yli-Ii 973 Ylikiiminki 977 Ylivieska

16,007 57,768 74,839 13,950 30,489 107,809 46,925 7,050 41,649 23,298 355,247 51,559 35,995 12,948 17,698 47,923 30,348 44,748 19,791 10,653 35,071 368,924 28,916 41,729 104,227 59,652 38,450 50,060 34,263 53,158 68,211 182,232 26,129 106,956 33,232 51,073 66,971 40,505

86.4 160,616

7.8

117,998

5.8

2,049,264 100.0

86.0

157,637 7,859

7.7

127,444 8,308

6.3

2,038,750 100.0 8,463

90.1 91.0 88.1 83.3 83.2 77.1 89.5 74.3 78.3 82.5 74.8 89.0 69.6 84.0 94.1 73.9 94.6 92.1 88.6 78.2 85.8 68.5 89.5 90.9 90.7 79.6 90.1 79.2 89.1 80.7 81.2 77.1 75.2 69.2 84.1 74.7 73.3 91.1

1,028 3,491 5,990 1,142 2,982 12,799 3,685 1,105 6,392 2,457 63,800 4,444 8,055 1,332 762 7,839 1,033 2,458 1,165 1,467 3,430 66,384 2,008 2,488 6,063 8,047 2,398 7,864 2,926 7,511 8,675 28,464 5,340 19,844 4,049 7,195 9,106 2,646

5.8 5.5 7.1 6.8 8.1 9.2 7.0 11.7 12.0 8.7 13.4 7.7 15.6 8.6 4.1 12.1 3.2 5.1 5.2 10.8 8.4 12.3 6.2 5.4 5.3 10.7 5.6 12.4 7.6 11.4 10.3 12.1 15.4 12.8 10.2 10.5 10.0 6.0

723 2,221 4,171 1,662 3,174 19,171 1,794 1,331 5,134 2,491 56,187 1,951 7,693 1,135 346 9,132 708 1,386 1,379 1,500 2,389 103,271 1,398 1,704 4,604 7,222 1,827 5,270 1,257 5,167 7,097 25,541 3,268 27,855 2,253 10,098 15,252 1,328

4.1 3.5 4.9 9.9 8.7 13.7 3.4 14.0 9.7 8.8 11.8 3.4 14.9 7.4 1.8 14.1 2.2 2.9 6.2 11.0 5.8 19.2 4.3 3.7 4.0 9.6 4.3 8.3 3.3 7.9 8.5 10.8 9.4 18.0 5.7 14.8 16.7 3.0

17,758 100.0 63,480 100.0 85,000 100.0 16,754 100.0 36,645 100.0 139,779 100.0 52,404 100.0 9,485 100.0 53,174 100.0 28,246 100.0 475,234 100.0 57,954 100.0 51,743 100.0 15,415 100.0 18,806 100.0 64,894 100.0 32,090 100.0 48,593 100.0 22,334 100.0 13,620 100.0 40,890 100.0 538,578 100.0 32,322 100.0 45,920 100.0 114,895 100.0 74,921 100.0 42,675 100.0 63,194 100.0 38,446 100.0 65,835 100.0 83,982 100.0 236,237 100.0 34,737 100.0 154,655 100.0 39,534 100.0 68,366 100.0 91,329 100.0 44,478 100.0 (continued)

Appendix 1

105

Table 1 (continued)

Forest land (ha) (%)

Poorly productive forest Unproductive land land (ha) (%) (ha) (%)

Total (ha)

(%)

Total Multi-source 2,436,451 inventory Field inventory 2,410,598 SE of field 27,051 inventory Lapland Municipality 47 Enontekiö 94,334 148 Inari 712,116 240 Kemi 6,409 241 Keminmaa 45,121 261 Kittilä 466,995 273 Kolari 173,677 320 Kemijärvi 252,360 498 Muonio 121,167 583 Pelkosenniemi 121,006 614 Posio 207,573 683 Ranua 201,135 698 Rovaniemi 559,792 732 Salla 381,918 742 Savukoski 439,951 751 Simo 89,850 758 Sodankylä 668,146 845 Tervola 109,404 851 Tornio 82,653 854 Pello 134,644 890 Utsjoki 6,297 976 Ylitornio 141,322 Total Multi-source 5,015,871 inventory Field inventory 5,006,444 SE of field 60,791 inventory

78.2

327,862 10.5

350,091 11.2

3,114,405 100.0

77.7

362,232 11.7 14,240

330,258 10.6 17,911

3,103,088 100.0 21,447

11.9 47.7 89.9 78.6 58.4 70.2 74.6 67.7 67.3 71.0 60.8 76.9 68.4 69.9 64.7 57.5 74.5 78.9 80.5 1.2 73.4

174,924 409,999 221 4,290 148,501 46,166 56,296 30,295 35,091 49,127 70,912 108,602 111,967 118,552 22,628 215,789 22,634 11,550 23,173 105,301 33,055

524,555 371,965 503 8,018 183,562 27,434 29,755 27,511 23,644 35,699 58,910 59,468 64,904 71,041 26,329 278,542 14,913 10,565 9,532 400,332 18,170

793,812 1,494,081 7,132 57,429 799,058 247,278 338,410 178,973 179,741 292,399 330,958 727,862 558,788 629,544 138,806 1,162,478 146,951 104,769 167,350 511,930 192,547

22.0 27.4 3.1 7.5 18.6 18.7 16.6 16.9 19.5 16.8 21.4 14.9 20.0 18.8 16.3 18.6 15.4 11.0 13.9 20.6 17.2

66.1 24.9 7.1 14.0 23.0 11.1 8.8 15.4 13.2 12.2 17.8 8.2 11.6 11.3 19.0 24.0 10.2 10.1 5.7 78.2 9.4

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

55.4 1,799,074 19.9

2,245,351 24.8

9,060,296 100.0

55.2 1,722,313 19.0 54,198

2,345,304 25.8 56,287

9,074,061 100.0 18,931

2,393 4,751 5,428 5,468 2,922 5,897 6,486 2,810 1,211 5,390 1,501 410 5,459 783 4,507 3,312 158,728

13,782 13,303 5,831 5,805 8,756 6,617 15,526 3,565 9,855 167

Rannikko/Etelärannikko Municipality 40 Dragsfjärd 49 Espoo-Esbo 78 Hanko-Hangö 91 Helsinki-Helsingfors 92 Vantaa-Vanda 101 Houtskär-Houtskari 149 Ingå-Inkoo 150 Iniö 220 Karis-Karjaa 235 Kauniainen-Grankulla

91.3 87.2 85.2 88.9 86.6 97.6 89.4 96.6 87.3 83.3

82.5 86.1 85.8 88.2 87.9 84.8 85.9 87.1 92.9 84.9 88.6 89.3 87.6 89.6 87.4 88.7 86.6

1,310 1,953 1,013 721 1,358 165 1,846 127 1,439 34

508 764 902 728 402 1,055 1,064 415 93 960 192 49 772 91 650 420 9,066

8.7 12.8 14.8 11.1 13.4 2.4 10.6 3.4 12.7 16.7

17.5 13.9 14.2 11.8 12.1 15.2 14.1 12.9 7.1 15.1 11.4 10.7 12.4 10.4 12.6 11.3 13.4

(%)

3,944 1,297 1,558 238 280 2,498 3,287 1,566 771 17

2,550 2,282 1,637 2,709 2,377 2,214 1,468 2,254 591 1,636 788 165 3,357 514 2,158 2,737 29,440

(ha)

96.0 97.2 95.8 88.4 87.5 98.7 99.2 97.5 96.0 97.3

96.7 97.0 96.0 96.8 97.9 96.4 96.0 97.8 99.5 96.3 96.9 96.3 96.9 98.9 96.7 98.0 97.0

(%)

(ha)

(%)

(ha)

Åland Municipality 35 Brändö 43 Eckerö 60 Finström 62 Föglö 65 Geta 76 Hammarland 170 Jomala 295 Kumlinge 318 Kökar 417 Lemland 438 Lumparland 478 Mariehamn 736 Saltvik 766 Sottunga 771 Sund 941 Vårdö Total

Mineral soil

Mineral soil (ha)

3.3 3.0 4.0 3.2 2.1 3.6 4.0 2.2 0.5 3.7 3.1 3.7 3.1 1.1 3.3 2.0 3.0

(%)

165 4.0 38 2.8 69 4.2 31 11.6 40 12.5 34 1.3 26 0.8 40 2.5 32 4.0 0 2.7

87 71 68 89 50 82 62 51 3 63 25 6 106 6 75 56 898

Peatland

Poorly productive forest land Peatland

Forest land

Table 2a Area and proportion of mineral soils and peatlands (By land classes and forestry centres).

2,506 160 367 170 74 405 175 44 52 2

3,201 1,155 494 1,593 923 738 465 2,426 2,886 788 238 80 1,399 772 581 1,818 19,557

(ha)

93.5 51.6 75.0 63.3 41.2 91.2 37.5 53.2 21.5 80.6

97.3 90.4 75.5 93.9 91.7 83.5 73.9 97.2 98.4 86.5 88.8 84.0 93.2 97.1 85.7 96.4 93.1

(%)

Mineral soil

175 150 122 98 106 39 292 39 191 1

89 123 160 103 84 146 164 71 47 123 30 15 101 23 97 68 1,444

(ha)

Peatland

Unproductive land

6.5 48.4 25.0 36.7 58.8 8.8 62.5 46.8 78.5 19.4

2.7 9.6 24.5 6.1 8.3 16.5 26.1 2.8 1.6 13.5 11.2 16.0 6.8 2.9 14.3 3.6 6.9

(%)

20,232 14,760 7,756 6,213 9,111 9,521 18,988 5,176 10,678 187

8,145 8,189 7,560 9,770 6,221 8,850 8,419 7,490 4,688 7,814 2,527 656 10,215 2,068 7,247 7,866 107,725

(ha)

Mineral soil

Total

92.5 87.3 86.6 88.0 85.8 97.6 89.8 96.2 86.5 84.3

92.3 89.5 87.0 91.4 92.1 87.3 86.7 93.3 97.0 87.2 91.1 90.3 91.3 94.5 89.8 93.5 90.4

(%)

1,650 2,141 1,204 851 1,504 238 2,164 205 1,662 35

684 957 1,130 920 536 1,283 1,290 536 143 1,146 247 71 979 119 821 544 11,408

(ha)

Peatland

7.5 12.7 13.4 12.0 14.2 2.4 10.2 3.8 13.5 15.7

7.7 10.5 13.0 8.6 7.9 12.7 13.3 6.7 3.0 12.8 8.9 9.7 8.7 5.5 10.2 6.5 9.6

(%)

106 Appendix 1

Kimito-Kemiö Kirkkonummi-Kyrkslätt Korpo-Korppoo Lapinjärvi-Lappträsk Liljendal Loviisa-Lovisa Nagu-Nauvo Pargas-Parainen Pernå-Pernaja Pohja-Pojo Porvoo-Borgå Ruotsinpyhtää-Strömfors Sipoo-Sibbo Siuntio-Sjundeå Ekenäs-Tammisaari Västanfjärd

Rannikko /Pohjanmaa Municipality 231 Kaskinen-Kaskö 272 Kokkola-Karleby 280 Korsnäs 287 KristinestadKristiinan-kaupunki 288 Kronoby-Kruunupyy 440 Larsmo-Luoto 475 Malax-Maalahti 499 Korsholm-Mustasaari 545 Närpes-Närpiö 559 Oravais-Oravainen 598 Jakobstad-Pietarsaari 599 Pedersöre-Pedersören kunta

243 257 279 407 424 434 533 573 585 606 638 701 753 755 835 923 Total

91.1 68.8 79.8 76

59.7 71.8 72.1 84.7 69.2 70.8 70.5 61.1

29,158 6,990 25,466 45,686 44,442 8,956 3,918 33,127

88.5 88.4 95.4 87.9 87.8 87.0 94.4 92.7 86.9 85.7 89.0 82.9 88.5 89.9 87.7 90.6 88.7

589 14,374 13,904 36,114

15,388 16,545 8,013 15,157 5,056 2,390 12,280 13,489 22,431 12,767 32,411 13,305 17,330 11,160 38,379 5,167 324,477

19,653 2,739 9,842 8,264 19,795 3,701 1,636 21,107

57 6,509 3,518 11,394

2,002 2,169 387 2,083 702 357 726 1,064 3,392 2,131 4,019 2,753 2,261 1,252 5,388 535 41,186

40.3 28.2 27.9 15.3 30.8 29.2 29.5 38.9

8.9 31.2 20.2 24

11.5 11.6 4.6 12.1 12.2 13.0 5.6 7.3 13.1 14.3 11.0 17.1 11.5 10.1 12.3 9.4 11.3

642 341 293 749 714 500 143 854

36 380 112 560

2,335 3,469 3,501 709 261 146 4,787 2,587 1,282 1,424 2,111 724 810 965 7,955 1,098 49,621

17.4 43.2 19.3 25.1 23.8 45.5 39.2 21.1

81.4 31.6 26.4 36.6

90.7 97.9 99.0 92.1 98.3 98.2 96.3 94.1 97.2 90.9 96.5 99.4 90.9 97.9 94.4 91.3 95.8

3,052 448 1,228 2,232 2,284 599 222 3,200

8 823 313 969

239 76 34 61 4 3 183 162 36 143 77 4 81 20 468 105 2,170

82.6 56.8 80.7 74.9 76.2 54.5 60.8 78.9

18.6 68.4 73.6 63.4

9.3 2.1 1.0 7.9 1.7 1.8 3.7 5.9 2.8 9.1 3.5 0.6 9.1 2.1 5.6 8.7 4.2

236 309 219 808 22 0 65 19

34 300 147 155

684 333 2,048 52 0 11 1,372 655 55 193 87 102 112 62 1,037 309 11,070

10.9 52.4 9.4 31.3 0.8 0 35.6 1.7

69.2 44.3 15.7 15.4

74.8 53.0 96.9 47.9 0.0 50.1 94.1 85.4 16.7 50.3 14.7 30.0 25.7 39.4 55.7 83.7 70.7

1,918 281 2,099 1,770 2,765 696 118 1,048

15 377 789 854

230 296 66 57 11 11 86 112 275 191 505 239 323 96 825 60 4,596

89.1 47.6 90.6 68.7 99.2 100 64.4 98.3

30.8 55.7 84.3 84.6

30,035 7,640 25,978 47,244 45,178 9,456 4,127 33,999

659 15,053 14,163 36,829

25.2 18,408 47.0 20,348 3.1 13,562 52.1 15,918 100.0 5,318 49.9 2,547 5.9 18,438 14.6 16,731 83.3 23,769 49.7 14,384 85.3 34,609 70.0 14,132 74.3 18,252 60.6 12,187 44.3 47,371 16.3 6,573 29.3 385,167

54.9 68.8 66.4 79.4 64.5 65.4 67.6 57.3

89.1 66.1 75.4 73.6

88.2 88.9 96.5 87.9 88.1 87.3 94.9 92.6 86.5 85.4 88.3 82.5 87.3 89.9 87.6 90.4 88.9

45.1 31.2 33.6 20.6 35.5 34.6 32.4 42.7

10.9 33.9 24.6 26.4

11.8 11.1 3.5 12.1 11.9 12.7 5.1 7.4 13.5 14.6 11.7 17.5 12.7 10.1 12.4 9.6 11.1

(continued)

24,624 3,468 13,170 12,266 24,844 4,996 1,976 25,354

80 7,710 4,620 13,217

2,471 2,541 486 2,201 717 370 995 1,338 3,704 2,465 4,601 2,996 2,665 1,368 6,681 699 47,952

Appendix 1 107

333,268

9,170 2,636 3,336 22,065 17,983 15,857 5,144 11,861 14,925 8,997 2,000 28,263 16,412 11,512 7,096 13,947 5,524 21,839 6,006 8,519 3,796 10,431 26,113

8,765 29,599

76.9 93.4 84.3 77.9 83.2 88.4 72.2 55.7 75.3 71.1 93.8 61.9 51.1 82.0 77.3 82.5 81.3 75.9 75.5 93.9 81.3 70.8 80.5

71.1

87.6 76.3

65.9

(%)

(%)

12.4 23.7

34.1

2,759 186 619 6,273 3,629 2,074 1,981 9,425 4,891 3,662 133 17,430 15,674 2,524 2,083 2,952 1,269 6,935 1,948 556 871 4,297 6,306

23.1 6.6 15.7 22.1 16.8 11.6 27.8 44.3 24.7 28.9 6.2 38.1 48.9 18.0 22.7 17.5 18.7 24.1 24.5 6.1 18.7 29.2 19.5

135,310 28.9

1,243 9,178

16,672

217 293 105 533 440 933 136 22 99 167 287 188 38 457 40 570 72 272 91 2,471 57 284 897

7,555

152 988

1,090

(ha)

54.2 92.7 68.8 52.8 64.8 80.5 46.1 1.6 14.3 28.4 95.1 7.7 1.6 63.8 14.1 71.0 58.2 32.1 42.1 95.1 59.2 32.5 53.9

28.9

56.4 55.4

32.6

(%)

(ha)

32,181

(ha)

Lounais-Suomi Municipality 6 Alastaro 17 Askainen 19 Aura 50 Eura 51 Eurajoki 73 Halikko 79 Harjavalta 99 Honkajoki 102 Huittinen 181 Jämijärvi 202 Kaarina 214 Kankaanpää 230 Karvia 252 Kiikala 254 Kiikoinen 259 Kisko 262 Kiukainen 271 Kokemäki 284 Koski Tl 304 Kustavi 308 Kuusjoki 319 Köyliö 400 Laitila

NykarlebyUusikaarlepyy Vaasa-Vasa Vörå-Maxmo-VöyriMaksamaa

Mineral soil

Mineral soil (%)

117 43.6 796 44.6

2,254 67.4

184 23 48 476 239 226 159 1,347 593 421 15 2,233 2,381 259 243 233 51 577 126 128 39 590 769

45.8 7.3 31.2 47.2 35.2 19.5 53.9 98.4 85.7 71.6 4.9 92.3 98.4 36.2 85.9 29.0 41.8 67.9 57.9 4.9 40.8 67.5 46.1

18,546 71.1

(ha)

Peatland

Poorly productive forest land Peatland

Forest land

Total

905 945

893

Table 2a (continued)

0

32 36 13 48 92 93 33 43 59 16 29 137 4 42 31 47 21 116 18 89 5 19 89

2,669

183 174

(ha)

7.9 44.4 15.7 5.2 14.8 25.5 7.2 2.5 3.4 4.4 59.4 5.1 0.1 12.9 12.8 9.4 17.7 8.1 18.0 46.8 14.7 2.5 5.7

14.3

49.4 11.1

0

(%)

Mineral soil

366 46 71 881 528 272 419 1,670 1,691 347 20 2,558 2,961 280 209 454 98 1,313 82 101 31 754 1,488

16,038

187 1,389

1,731

(ha)

Peatland

Unproductive land (%)

92.1 55.6 84.3 94.8 85.2 74.5 92.8 97.5 96.6 95.6 40.6 94.9 99.9 87.1 87.2 90.6 82.3 91.9 82.0 53.2 85.3 97.5 94.3

85.7

50.6 88.9

100

9,418 2,965 3,454 22,646 18,514 16,883 5,313 11,926 15,083 9,180 2,316 28,588 16,454 12,011 7,167 14,565 5,616 22,228 6,115 11,079 3,858 10,734 27,099

343,492

9,100 30,760

33,271

(ha)

Mineral soil

Total (%)

74.0 92.1 82.4 74.8 80.8 86.8 67.5 48.9 67.8 67.5 93.3 56.3 43.9 79.7 73.9 80.0 79.8 71.6 73.9 93.4 80.4 65.5 76.0

66.9

85.5 73

61.7

(%)

14.5 27

38.3

3,309 254 738 7,630 4,396 2,572 2,558 12,442 7,176 4,429 168 22,221 21,017 3,063 2,535 3,638 1,419 8,826 2,156 784 941 5,642 8,562

26.0 7.9 17.6 25.2 19.2 13.2 32.5 51.1 32.2 32.5 6.7 43.7 56.1 20.3 26.1 20.0 20.2 28.4 26.1 6.6 19.6 34.5 24.0

169,894 33.1

1,548 11,363

20,657

(ha)

Peatland

108 Appendix 1

406 413 419 423 430 442 480 481 482 484 485 501 503 529 531 537 538 561 577 586 587 602 608 609 631 636 680 684 704 705 734 738 747 761 776 783

Lappi Lavia Lemu Lieto Loimaa Luvia Marttila Masku Mellilä Merikarvia Merimasku Muurla Mynämäki Naantali Nakkila Noormarkku Nousiainen Oripää Paimio Perniö Pertteli Piikkiö Pomarkku Pori Pyhäranta Pöytyä Raisio Rauma Rusko Rymättylä Salo Sauvo Siikainen Somero Suomusjärvi Säkylä

10,975 17,395 1,674 7,642 13,184 10,361 7,084 3,748 2,576 23,569 2,507 3,463 23,863 2,274 6,833 18,383 8,790 4,017 9,976 19,188 5,609 3,564 16,798 23,677 8,410 16,184 1,716 15,766 1,969 6,878 6,323 10,953 23,029 26,056 9,236 7,305

82.0 75.5 93.2 86.4 74.0 87.2 77.8 87.9 72.2 72.6 94.3 83.3 76.4 95.9 78.3 75.3 81.5 72.3 89.5 83.0 84.6 93.4 74.0 83.9 87.8 78.8 92.7 88.1 87.1 96.0 85.4 91.7 67.9 78.5 84.5 75.7

2,403 5,640 122 1,207 4,626 1,523 2,016 516 991 8,876 150 694 7,378 97 1,897 6,039 1,992 1,540 1,168 3,929 1,017 250 5,909 4,542 1,172 4,341 135 2,138 292 285 1,080 993 10,899 7,118 1,691 2,341

18.0 24.5 6.8 13.6 26.0 12.8 22.2 12.1 27.8 27.4 5.7 16.7 23.6 4.1 21.7 24.7 18.5 27.7 10.5 17.0 15.4 6.6 26.0 16.1 12.2 21.2 7.3 11.9 12.9 4.0 14.6 8.3 32.1 21.5 15.5 24.3

512 85 145 451 240 75 156 380 40 209 410 177 988 360 63 169 537 126 1,073 1,118 252 404 158 267 345 350 209 940 147 2,180 268 1,287 233 456 426 388

77.0 10.7 95.5 82.7 37.4 54.9 42.6 90.5 16.2 26.8 97.2 80.3 51.0 95.6 39.2 20.2 72.7 58.3 91.5 72.9 84.4 93.2 19.1 51.8 83.6 37.7 92.3 89.9 90.9 97.3 84.5 94.5 19.4 51.4 76.3 63.8

153 710 7 95 402 62 210 40 207 570 12 43 950 17 97 668 202 90 100 416 47 29 668 248 68 580 18 106 15 61 49 75 966 431 132 220

23.0 89.3 4.5 17.3 62.6 45.1 57.4 9.5 83.8 73.2 2.8 19.7 49.0 4.4 60.8 79.8 27.3 41.7 8.5 27.1 15.6 6.8 80.9 48.2 16.4 62.3 7.7 10.1 9.1 2.7 15.5 5.5 80.6 48.6 23.7 36.2

67 96 34 34 43 44 15 60 9 108 16 10 95 25 23 113 23 16 78 60 18 39 65 241 60 28 35 149 22 62 48 159 124 86 68 20

23.7 14.3 49.7 32.5 5.9 30.4 2.7 27.1 4.7 4.3 38.1 13.9 5.6 63.2 13.8 13.6 4.6 4.9 45.2 12.3 22.8 62.6 5.1 33.9 36.7 2.6 71.2 43.6 48.2 54.4 59.8 60.0 3.9 13.1 32.1 11.0

217 575 35 71 691 100 530 160 190 2,391 26 64 1,609 15 144 718 464 309 94 428 61 23 1,218 468 104 1,053 14 193 23 52 32 106 3,035 573 144 158

76.3 85.7 50.3 67.5 94.1 69.6 97.3 72.9 95.3 95.7 61.9 86.1 94.4 36.8 86.2 86.4 95.4 95.1 54.8 87.7 77.2 37.4 94.9 66.1 63.3 97.4 28.8 56.4 51.8 45.6 40.2 40.0 96.1 86.9 67.9 89.0

11,554 17,576 1,853 8,128 13,467 10,480 7,254 4,187 2,625 23,887 2,933 3,650 24,946 2,659 6,918 18,665 9,350 4,159 11,127 20,366 5,879 4,006 17,021 24,185 8,815 16,562 1,960 16,855 2,138 9,121 6,638 12,399 23,386 26,598 9,730 7,713

80.6 71.7 91.9 85.6 70.2 86.2 72.5 85.4 65.4 66.9 94.0 82.0 71.5 95.4 76.4 71.5 77.9 68.2 89.1 81.0 83.9 93.0 68.6 82.1 86.8 73.5 92.2 87.4 86.6 95.8 85.1 91.4 61.1 76.6 83.2 73.9

19.4 28.3 8.1 14.4 29.8 13.8 27.5 14.6 34.6 33.1 6.0 18.0 28.5 4.6 23.6 28.5 22.1 31.8 10.9 19.0 16.1 7.0 31.4 17.9 13.2 26.5 7.8 12.6 13.4 4.2 14.9 8.6 38.9 23.4 16.8 26.1

(continued)

2,773 6,924 164 1,373 5,719 1,684 2,756 716 1,388 11,837 188 801 9,937 128 2,138 7,424 2,658 1,939 1,362 4,772 1,124 302 7,794 5,259 1,343 5,974 167 2,437 330 398 1,162 1,174 14,900 8,122 1,967 2,720

Appendix 1 109

Särkisalo-Finby Taivassalo Tarvasjoki Turku-Åbo Ulvila Uusikaupunki Vahto Vampula Vehmaa Velkua Yläne

Häme-Uusimaa Municipality 15 Artjärvi 16 Asikkala 18 Askola 61 Forssa 81 Hartola 82 Hattula 83 Hauho 86 Hausjärvi 98 Hollola 103 Humppila 106 Hyvinkää 109 Hämeenlinna 111 Heinola 165 Janakkala 169 Jokioinen 186 Järvenpää

784 833 838 853 886 895 906 913 918 920 979 Total

Table 2a (continued)

8,899 37,907 10,824 10,450 38,156 18,172 20,564 17,035 27,242 5,542 15,238 8,643 50,807 26,504 6,822 1,386

94.1 88.2 89.0 76.0 86.8 71.8 83.7 84.9 91.7 77.1 78.4 80.5 89.4 78.9 85.0 92.6

555 5,093 1,336 3,301 5,786 7,149 4,013 3,031 2,472 1,643 4,203 2,089 6,056 7,090 1,200 111

509 283 601 854 7,244 2,653 866 1,670 848 50 6,587 217,651

(%)

5.9 11.8 11.0 24.0 13.2 28.2 16.3 15.1 8.3 22.9 21.6 19.5 10.7 21.1 15.0 7.4

9.6 4.6 13.8 9.7 26.5 9.3 20.7 24.8 9.2 3.0 27.7 22.3

323 295 163 3 20 16 45 103 102 45 192 23 843 91 9 20

376 1,273 97 1,046 167 2,740 118 35 748 600 615 32,109

(ha)

95.4 48.4 84.5 1.6 5.6 3.5 18.8 29.4 37.3 29.9 44.2 20.6 64.3 19.4 18.0 81.3

92.5 97.2 75.1 92.8 15.6 93.2 53.7 40.2 91.4 99.2 36.3 58.6

(%)

(ha)

90.4 95.4 86.2 90.3 73.5 90.7 79.3 75.2 90.8 97.0 72.3 77.7

(%)

(ha)

4,805 5,934 3,756 7,948 20,119 25,758 3,310 5,063 8,319 1,634 17,175 758,227

Mineral soil

Mineral soil

16 315 30 184 340 442 194 248 171 105 243 89 469 378 43 5

31 37 32 82 904 199 102 52 70 5 1,078 22,711

(ha)

Peatland

Poorly productive forest land Peatland

Forest land

4.6 51.6 15.5 98.4 94.4 96.5 81.2 70.7 62.7 70.1 55.8 79.4 35.7 80.7 82.0 18.7

7.5 2.8 24.9 7.2 84.4 6.8 46.3 59.8 8.6 0.8 63.7 41.4

(%)

17 53 0 2 76 0 2 8 150 1 9 1 1 6 0 0

59 63 13 142 97 531 9 20 119 13 23 4,392

(ha)

29.2 19.5 0.0 0.8 12.4 0.0 0.9 3.7 41.3 0.9 3.3 0.6 0.3 1.2 0.3 0.0

68.3 53.2 31.2 49.9 11.2 54.2 3.0 24.8 50.4 60.9 1.7 10.9

(%)

Mineral soil

41 218 76 318 537 693 271 205 213 131 246 95 339 496 157 14

27 55 28 143 773 449 289 60 117 8 1,341 36,018

(ha)

Peatland

Unproductive land

70.8 80.5 100.0 99.3 87.6 100.0 99.1 96.3 58.7 99.1 96.7 99.4 99.7 98.8 99.7 100.0

31.7 46.8 68.8 50.1 88.8 45.8 97.0 75.2 49.6 39.1 98.3 89.1

(%)

9,238 38,255 10,987 10,456 38,253 18,188 20,611 17,146 27,494 5,588 15,439 8,667 51,651 26,600 6,832 1,406

5,239 7,270 3,866 9,136 20,384 29,028 3,437 5,118 9,186 2,247 17,813 794,728

(ha)

Mineral soil

Total (%)

93.8 87.2 88.4 73.3 85.2 68.7 82.2 83.1 90.6 74.8 76.7 79.2 88.3 77.0 83.0 91.6

90.2 95.1 85.4 89.4 69.6 89.8 73.2 74.2 89.9 97.3 66.4 74.2

612 5,626 1,442 3,803 6,663 8,284 4,477 3,484 2,856 1,879 4,692 2,273 6,863 7,964 1,400 129

567 375 662 1,079 8,921 3,301 1,257 1,782 1,035 63 9,006 276,380

(ha)

Peatland

6.2 12.8 11.6 26.7 14.8 31.3 17.9 16.9 9.4 25.2 23.3 20.8 11.7 23.0 17.0 8.4

9.8 4.9 14.6 10.6 30.4 10.2 26.8 25.8 10.1 2.7 33.6 25.8

(%)

110 Appendix 1

Kalvola Karjalohja Karkkila Kerava Hämeenkoski Kärkölä Lahti Lammi Loppi Lohja-Lojo Myrskylä-Mörskom Mäntsälä Nastola Nummi-Pusula Nurmijärvi Orimattila Padasjoki Pornainen Pukkila Renko Riihimäki Sammatti Sysmä Tammela Tuulos Tuusula Vihti Ypäjä

Kaakkois-Suomi Municipality 44 Elimäki 75 Hamina 142 Iitti 153 Imatra

210 223 224 245 283 316 398 401 433 444 504 505 532 540 543 560 576 611 616 692 694 737 781 834 855 858 927 981 Total

16,912 35,704 33,958 8,106

16,421 6,513 13,055 1,311 10,595 11,738 7,368 32,452 30,521 15,094 11,116 28,325 20,523 24,872 15,756 32,480 36,834 7,294 6,713 13,556 5,593 3,956 47,012 29,709 9,795 9,279 28,413 6,497 786,985

87.0 81.6 86.1 84.8

73.6 85.6 80.6 89.9 88.8 86.3 93.0 82.7 73.4 93.3 89.9 85.0 90.5 84.2 88.3 93.3 82.9 85.6 90.0 71.8 83.2 88.4 90.0 67.9 81.6 87.9 88.8 82.0 84.0

2,528 8,066 5,504 1,458

5,897 1,099 3,150 148 1,332 1,869 554 6,792 11,038 1,089 1,250 5,007 2,150 4,686 2,080 2,322 7,585 1,229 749 5,323 1,126 519 5,223 14,068 2,203 1,275 3,596 1,428 149,914

13.0 18.4 13.9 15.2

26.4 14.4 19.4 10.1 11.2 13.7 7.0 17.3 26.6 6.7 10.1 15.0 9.5 15.9 11.7 6.7 17.1 14.4 10.0 28.2 16.8 11.6 10.0 32.1 18.4 12.1 11.2 18.0 16.0

220 760 572 37

1 163 70 15 12 10 88 33 85 101 266 231 643 157 287 610 34 106 78 25 50 79 99 0 38 158 231 28 5,992

69.2 68.7 70.7 64.3

0.4 76.5 55.9 87.3 18.8 4.4 67.6 9.9 19.0 93.1 87.5 37.7 75.2 59.5 85.0 78.6 12.7 73.4 73.9 7.5 46.6 72.7 34.5 0.0 25.2 80.2 68.8 26.8 44.1

98 347 238 21

193 50 55 2 52 226 42 301 363 7 38 381 212 107 51 166 230 39 28 314 58 30 189 846 113 39 105 77 7,583

30.8 31.3 29.3 35.7

99.6 23.5 44.2 12.7 81.2 95.6 32.4 90.1 81.0 6.9 12.5 62.3 24.8 40.5 15.0 21.4 87.3 26.6 26.1 92.5 53.4 27.3 65.5 100.0 74.8 19.8 31.2 73.2 55.9

0 128 0 3

8 1 3 0 47 22 74 35 12 3 8 20 46 4 4 241 21 1 20 4 1 0 65 17 2 0 7 0 994

0.0 17.8 0.0 6.5

3.2 1.1 2.7 3.5 52.7 10.2 61.9 9.5 3.2 3.8 7.1 4.7 25.9 1.9 4.1 54.8 8.3 0.7 27.0 1.2 2.1 0.2 18.1 0.6 2.1 0.0 4.9 0.3 8.3

82 592 274 39

246 121 105 7 42 191 46 328 356 87 108 415 131 209 102 198 228 81 55 348 49 45 296 2,672 107 69 140 131 10,965

100.0 82.2 100.0 93.5

17,131 36,591 34,530 8,146

96.8 16,430 98.9 6,677 97.3 13,128 96.5 1,326 47.3 10,654 89.8 11,770 38.1 7,530 90.5 32,520 96.8 30,617 96.2 15,198 92.9 11,391 95.3 28,576 74.1 21,212 98.1 25,033 95.9 16,047 45.2 33,331 91.7 36,888 99.3 7,401 73.0 6,812 98.8 13,586 97.9 5,645 99.8 4,036 82.0 47,176 99.4 29,726 97.9 9,836 100.0 9,437 95.1 28,651 99.7 6,526 91.7 793,972

86.3 80.3 85.2 84.3

72.2 84.0 79.9 89.4 88.2 83.7 92.2 81.4 72.3 92.8 89.1 83.1 89.5 83.4 87.8 92.5 82.1 84.6 89.1 69.4 82.1 87.2 89.2 62.8 80.2 87.2 88.2 80.0 82.5

13.7 19.7 14.8 15.7

27.8 16.0 20.1 10.6 11.8 16.3 7.9 18.6 27.8 7.2 10.9 16.9 10.5 16.7 12.2 7.5 17.9 15.4 10.9 30.6 17.9 12.8 10.8 37.2 19.8 12.8 11.8 20.0 17.5

(continued)

2,709 9,004 6,016 1,518

6,337 1,270 3,311 158 1,426 2,286 642 7,421 11,757 1,183 1,396 5,804 2,493 5,002 2,233 2,687 8,043 1,348 832 5,984 1,233 593 5,708 17,586 2,423 1,383 3,841 1,636 168,462

Appendix 1 111

Jaala Joutseno Kotka Kouvola Kuusankoski Lappeenranta Lemi Luumäki Miehikkälä Parikkala Pyhtää-Pyttis Rautjärvi Ruokolahti Savitaipale Anjalankoski Suomenniemi Taipalsaari Valkeala Virolahti Ylämaa

Pirkanmaa Municipality 20 Akaa 108 Hämeenkyrö 143 Ikaalinen 177 Juupajoki 211 Kangasala 250 Kihniö 289 Kuhmalahti 303 Kuru

163 173 285 286 306 405 416 441 489 580 624 689 700 739 754 775 831 909 935 978 Total

Table 2a (continued)

4,637 25,287 41,722 16,130 29,906 15,059 10,631 43,212

84.3 79.6 75.0 80.2 85.0 55.9 82.0 72.9

861 6,488 13,928 3,989 5,259 11,891 2,340 16,097

5,232 3,737 3,032 308 1,202 11,408 2,867 16,023 6,265 6,801 3,518 4,936 16,010 7,926 10,694 3,166 4,578 12,917 4,090 6,139 148,405

(%)

15.7 20.4 25.0 19.8 15.0 44.1 18.0 27.1

15.0 18.5 16.9 14.5 17.6 21.2 18.1 27.3 19.7 16.2 17.3 17.6 20.3 19.0 22.3 13.1 16.6 20.3 15.5 20.2 18.9

13 62 191 61 143 143 61 169

538 3 483 19 61 14 55 315 173 66 490 45 530 462 537 325 139 820 358 112 7,132

(ha)

26.0 12.6 14.2 24.3 39.9 13.6 41.4 11.1

81.4 2.1 70.5 63.8 66.0 4.3 46.4 31.2 36.0 27.6 45.7 31.2 52.1 61.8 43.2 67.0 50.7 60.7 55.9 24.3 52.8

(%)

(ha)

85.0 81.5 83.1 85.5 82.4 78.8 81.9 72.7 80.3 83.8 82.7 82.4 79.7 81.0 77.7 86.9 83.4 79.7 84.5 79.8 81.1

(%)

(ha)

29,545 16,410 14,898 1,813 5,645 42,299 12,957 42,741 25,521 35,232 16,812 23,067 62,775 33,893 37,366 21,088 23,043 50,601 22,320 24,303 637,007

Mineral soil

Mineral soil (ha)

37 431 1,150 192 215 910 86 1,356

123 119 202 11 31 317 64 695 308 174 582 98 487 286 705 160 135 532 282 349 6,363

Peatland

Poorly productive forest land Peatland

Forest land (%)

74.0 87.4 85.8 75.7 60.1 86.4 58.6 88.9

18.6 97.9 29.5 36.2 34.0 95.7 53.6 68.8 64.0 72.4 54.3 68.8 47.9 38.2 56.8 33.0 49.3 39.3 44.1 75.7 47.2

7 33 72 30 51 16 13 83

30 0 151 5 0 0 9 24 12 12 125 6 40 116 32 59 26 110 180 29 1,097

(ha)

7.2 15.1 8.7 16.6 23.1 1.6 13.2 5.4

9.1 0.0 38.2 19.7 0.0 0.0 8.5 2.6 2.8 4.7 21.3 7.2 9.6 25.3 2.6 27.2 19.8 11.5 31.1 5.3 11.7

(%)

Mineral soil

84 187 752 152 171 970 87 1,454

300 89 245 19 58 468 100 888 401 245 460 82 376 342 1,197 157 107 850 399 521 8,293

(ha)

Peatland

Unproductive land (ha)

92.8 84.9 91.3 83.4 76.9 98.4 86.8 94.6

4,657 25,383 41,985 16,222 30,100 15,218 10,705 43,464

90.9 30,112 100.0 16,413 61.8 15,532 80.3 1,836 100.0 5,706 100.0 42,314 91.5 13,021 97.4 43,080 97.2 25,706 95.3 35,310 78.7 17,427 92.8 23,118 90.4 63,345 74.7 34,471 97.4 37,935 72.8 21,471 80.2 23,208 88.5 51,530 68.9 22,858 94.7 24,443 88.3 645,236

(%)

Mineral soil

Total (%)

82.6 78.1 72.6 78.9 84.2 52.5 81.0 69.7

84.2 80.6 81.7 84.5 81.5 77.6 81.1 71.0 78.7 83.0 79.3 81.9 79.0 80.1 75.1 86.0 82.8 78.3 82.7 77.7 79.8

983 7,107 15,829 4,333 5,646 13,771 2,513 18,907

5,655 3,945 3,480 338 1,292 12,193 3,031 17,606 6,975 7,219 4,559 5,117 16,873 8,554 12,597 3,483 4,820 14,299 4,772 7,009 163,061

(ha)

Peatland (%)

17.4 21.9 27.4 21.1 15.8 47.5 19.0 30.3

15.8 19.4 18.3 15.5 18.5 22.4 18.9 29.0 21.3 17.0 20.7 18.1 21.0 19.9 24.9 14.0 17.2 21.7 17.3 22.3 20.2

112 Appendix 1

Kylmäkoski Lempäälä Mouhijärvi Mänttä Nokia Orivesi Parkano Pirkkala Punkalaidun Pälkäne Ruovesi Tampere Urjala Valkeakoski Vammala Vesilahti Vilppula Virrat Ylöjärvi Äetsä

Etelä-Savo Municipality 46 Enonkoski 90 Heinävesi 97 Hirvensalmi 171 Joroinen 178 Juva 213 Kangasniemi 246 Kerimäki 491 Mikkeli 507 Mäntyharju 588 Pertunmaa 593 Pieksämäki 618 Punkaharju

310 418 493 506 536 562 581 604 619 635 702 837 887 908 912 922 933 936 980 988 Total

23,743 80,143 34,123 33,115 73,568 68,904 38,032 111,691 68,897 27,418 91,041 35,061

9,313 16,195 14,897 3,621 18,027 52,531 37,896 4,802 14,132 35,798 51,486 31,491 24,047 14,870 45,890 18,210 30,578 64,346 23,887 13,374 711,977

83.1 84.5 85.0 72.0 74.5 75.4 76.8 78.8 81.4 85.8 68.0 81.4

80.0 85.7 83.8 78.4 87.0 84.5 60.0 87.9 74.7 85.3 83.0 84.7 77.3 85.1 81.6 85.0 80.4 70.5 82.1 82.8 78.0

4,813 14,708 5,998 12,856 25,183 22,434 11,462 30,078 15,736 4,536 42,840 8,004

2,324 2,706 2,889 997 2,698 9,648 25,281 664 4,781 6,161 10,516 5,697 7,053 2,598 10,378 3,225 7,459 26,901 5,205 2,775 200,810

16.9 15.5 15.0 28.0 25.5 24.6 23.2 21.2 18.6 14.2 32.0 18.6

20.0 14.3 16.2 21.6 13.0 15.5 40.0 12.1 25.3 14.7 17.0 15.3 22.7 14.9 18.4 15.0 19.6 29.5 17.9 17.2 22.0

92 0 151 24 299 127 225 353 623 33 139 125

27 26 51 13 43 163 221 7 194 215 221 81 106 52 175 51 135 414 60 67 3,165

61.7 0.0 23.1 2.9 15.1 8.1 31.3 11.2 44.1 8.9 4.2 38.2

21.7 24.9 22.4 34.4 26.3 25.2 5.8 24.1 30.8 54.8 24.2 25.8 18.0 33.4 21.5 27.8 34.6 15.9 19.4 31.2 17.7

57 582 505 801 1,683 1,441 495 2,789 791 332 3,193 202

99 78 178 25 121 484 3,609 22 437 177 695 232 482 104 639 133 255 2,199 248 147 14,741

38.3 100.0 76.9 97.1 84.9 91.9 68.7 88.8 55.9 91.1 95.8 61.8

78.3 75.1 77.6 65.6 73.7 74.8 94.2 75.9 69.2 45.2 75.8 74.2 82.0 66.6 78.5 72.2 65.4 84.1 80.6 68.8 82.3

3 3 22 34 17 61 16 72 30 8 61 27

0 17 22 6 24 99 80 5 29 33 110 63 14 24 61 25 65 88 38 20 1,128

2.6 0.9 5.4 10.4 2.4 9.0 3.3 4.0 5.5 2.4 3.2 9.7

0.0 14.9 20.2 14.5 28.6 21.7 2.4 16.9 4.6 14.5 11.2 25.2 2.5 15.6 11.8 20.3 19.4 2.7 15.5 23.0 7.2

99 324 382 295 710 620 479 1,725 523 315 1,823 255

89 98 85 33 59 360 3,195 24 600 193 876 186 525 132 459 98 268 3,174 204 68 14,585

97.4 99.1 94.6 89.6 97.6 91.0 96.7 96.0 94.5 97.6 96.8 90.3

23,837 80,146 34,296 33,174 73,885 69,092 38,274 112,116 69,551 27,458 91,240 35,213

100.0 9,340 85.1 16,238 79.8 14,970 85.5 3,639 71.4 18,094 78.3 52,793 97.6 38,197 83.1 4,813 95.4 14,355 85.5 36,045 88.8 51,818 74.8 31,635 97.5 24,167 84.4 14,947 88.2 46,126 79.7 18,287 80.6 30,777 97.3 64,848 84.5 23,984 77.0 13,461 92.8 716,269

82.8 83.7 83.3 70.4 72.8 73.8 75.5 76.4 80.3 84.1 65.6 80.6

78.8 84.9 82.6 77.5 86.3 83.4 54.3 87.2 71.2 84.7 81.1 83.8 75.0 84.1 80.1 84.1 79.4 66.8 80.9 81.8 75.7

17.2 16.3 16.7 29.6 27.2 26.2 24.5 23.6 19.7 15.9 34.4 19.4

21.2 15.1 17.4 22.5 13.7 16.6 45.7 12.8 28.8 15.3 18.9 16.2 25.0 15.9 19.9 15.9 20.6 33.2 19.1 18.2 24.3

(continued)

4,969 15,613 6,885 13,953 27,576 24,495 12,437 34,591 17,050 5,184 47,856 8,461

2,511 2,883 3,152 1,055 2,879 10,492 32,084 710 5,819 6,531 12,086 6,115 8,060 2,834 11,476 3,456 7,982 32,274 5,657 2,991 230,136

Appendix 1 113

Puumala Rantasalmi Ristiina Savonlinna Savonranta Sulkava

Etelä-Pohjanmaa Municipality 4 Alahärmä 5 Alajärvi 10 Alavus 52 Evijärvi 74 Halsua 95 Himanka 145 Ilmajoki 151 Isojoki 152 Isokyrö 164 Jalasjärvi 175 Jurva 217 Kannus 218 Karijoki 232 Kauhajoki 233 Kauhava 236 Kaustinen 281 Kortesjärvi 300 Kuortane 301 Kurikka 315 Kälviä 399 Laihia

623 681 696 740 741 768 Total

Table 2a (continued)

11,250 27,842 30,357 12,543 16,232 9,105 22,936 27,880 12,502 29,683 20,761 14,378 7,886 43,704 15,999 12,246 12,378 18,668 18,530 24,656 21,029

59.6 54.8 57.1 50.6 58.8 54.7 65.8 59.6 65.6 58.7 66.5 50.8 65.2 52.9 56.1 52.8 55.7 59.1 67.9 54.7 64.5

7,618 23,006 22,812 12,233 11,382 7,540 11,922 18,893 6,559 20,846 10,460 13,916 4,212 38,941 12,502 10,955 9,828 12,918 8,749 20,429 11,567

8,315 9,344 6,914 10,691 5,797 8,592 248,302

(%)

40.4 45.2 42.9 49.4 41.2 45.3 34.2 40.4 34.4 41.3 33.5 49.2 34.8 47.1 43.9 47.2 44.3 40.9 32.1 45.3 35.5

11.7 20.2 14.2 15.1 16.7 16.9 20.6

1,124 870 770 177 171 124 52 404 227 815 127 216 80 1,306 311 187 218 288 178 433 152

1,375 20 460 730 0 414 5,191

(ha)

51 18.6 20.9 8.8 4.7 13.5 4 9.4 18.5 23.4 7.4 11.5 9.3 13.9 16.9 6.1 14.3 14 11.3 7.3 8.5

82.5 6.0 57.5 77.4 0.0 67.2 26.6

(%)

(ha)

88.3 79.8 85.8 84.9 83.3 83.1 79.4

(%)

(ha)

62,721 36,834 41,631 59,950 28,913 42,186 957,971

Mineral soil

Mineral soil

1,079 3,801 2,907 1,831 3,451 793 1,240 3,913 996 2,662 1,596 1,669 786 8,107 1,531 2,874 1,303 1,769 1,395 5,501 1,633

292 311 340 213 101 202 14,329

(ha)

Peatland

Poorly productive forest land Peatland

Forest land (%)

49 81.4 79.1 91.2 95.3 86.5 96 90.6 81.5 76.6 92.6 88.5 90.7 86.1 83.1 93.9 85.7 86 88.7 92.7 91.5

17.5 94.0 42.5 22.6 100.0 32.8 73.4

252 0 0 0 195 93 0 161 37 25 0 103 13 0 9 56 6 0 24 173 0

30 28 45 24 1 19 501

(ha)

23.8 0 0 0 4.9 15.2 0 5.1 3.9 1.3 0 7.5 4.4 0 1.1 2.3 0.7 0 3.6 2.7 0

12.3 6.4 15.2 7.1 0.5 6.6 5.2

(%)

Mineral soil

806 2,474 2,303 1,177 3,784 519 1,086 3,014 932 1,856 1,409 1,274 279 4,940 822 2,381 945 976 644 6,248 2,483

214 409 249 316 194 264 9,196

(ha)

Peatland

Unproductive land (%)

76.2 100 100 100 95.1 84.8 100 94.9 96.1 98.7 100 92.5 95.6 100 98.9 97.7 99.3 100 96.4 97.3 100

87.7 93.6 84.8 92.9 99.5 93.4 94.8

12,626 28,712 31,127 12,720 16,599 9,322 22,988 28,445 12,766 30,523 20,888 14,697 7,979 45,011 16,320 12,489 12,603 18,956 18,733 25,262 21,180

64,126 36,882 42,136 60,704 28,914 42,619 963,663

(ha)

Mineral soil

Total (%)

57.1 49.5 52.6 45.5 47.1 51.3 61.7 52.4 60.1 54.6 60.8 46.6 60.2 46.4 52.3 43.5 51.1 54.8 63.5 44 57.5

87.9 78.6 84.9 84.4 82.6 82.5 78.0

9,504 29,281 28,021 15,241 18,616 8,851 14,249 25,819 8,487 25,365 13,465 16,859 5,277 51,987 14,855 16,210 12,076 15,662 10,788 32,179 15,683

8,820 10,063 7,504 11,221 6,091 9,058 271,826

(ha)

Peatland (%)

42.9 50.5 47.4 54.5 52.9 48.7 38.3 47.6 39.9 45.4 39.2 53.4 39.8 53.6 47.7 56.5 48.9 45.2 36.5 56 42.5

12.1 21.4 15.1 15.6 17.4 17.5 22.0

114 Appendix 1

Lappajärvi Lapua Lehtimäki Lestijärvi Lohtaja Nurmo Perho Seinäjoki Soini Teuva Toholampi Töysä Ullava Veteli Vimpeli Vähäkyrö Ylihärmä Ylistaro Ähtäri

Keski-Suomi Municipality 77 Hankasalmi 172 Joutsa 179 Jyväskylä 180 Jyväskylän mlk 182 Jämsä 183 Jämsänkoski 216 Kannonkoski 226 Karstula 249 Keuruu 256 Kinnula 265 Kivijärvi 275 Konnevesi 277 Korpilahti

403 408 414 421 429 544 584 743 759 846 849 863 885 924 934 942 971 975 989 Total

37,878 34,617 6,289 30,430 80,194 28,119 30,313 46,080 81,476 24,135 29,831 36,777 45,442

14,214 25,419 9,814 18,777 16,836 13,133 30,027 18,843 23,409 22,642 21,408 13,808 6,070 15,417 9,620 7,035 4,019 18,777 40,286 740,119

82.1 85.1 89.1 85.7 83.7 82.6 77.6 65.1 75.8 63.8 72.3 84.2 87.6

49.4 59.5 54.3 56.6 58.2 56.6 56.7 54.3 57.7 63.1 59.3 64.8 56.5 47 51 79.1 58.9 67.5 63 58.1

8,255 6,067 772 5,080 15,640 5,918 8,743 24,724 25,971 13,708 11,434 6,880 6,436

14,556 17,337 8,256 14,426 12,068 10,054 22,970 15,852 17,161 13,236 14,722 7,506 4,669 17,374 9,250 1,863 2,803 9,028 23,709 534,127

17.9 14.9 10.9 14.3 16.3 17.4 22.4 34.9 24.2 36.2 27.7 15.8 12.4

50.6 40.5 45.7 43.4 41.8 43.4 43.3 45.7 42.3 36.9 40.7 35.2 43.5 53 49 20.9 41.1 32.5 37 41.9

0 69 27 69 383 102 208 299 350 301 278 35 193

175 319 241 251 463 106 223 321 408 159 140 302 59 170 212 149 416 326 638 13,310

0.0 24.2 72.6 29.3 41.9 22.7 35.3 9.1 14.5 12.1 16.0 14.2 58.1

8.1 9.5 10.1 5.5 15.5 6.1 4.9 14.4 11.4 5.7 3.3 28.4 5.1 4.1 11.5 76.8 41.4 18.4 20.4 12.3

172 218 10 167 532 349 382 3,002 2,063 2,193 1,456 209 139

1,991 3,027 2,152 4,320 2,534 1,650 4,328 1,898 3,168 2,609 4,114 760 1,102 3,981 1,625 45 588 1,446 2,496 94,671

100.0 75.8 27.4 70.7 58.1 77.3 64.7 90.9 85.5 87.9 84.0 85.8 41.9

91.9 90.5 89.9 94.5 84.5 93.9 95.1 85.6 88.6 94.3 96.7 71.6 94.9 95.9 88.5 23.2 58.6 81.6 79.6 87.7

0 0 0 0 64 3 1 2 0 2 5 0 0

0 0 0 48 205 0 217 0 0 51 54 0 20 0 0 14 74 34 0 1,863

0.0 0.0 0.0 0.0 12.6 2.2 6.5 0.1 0.0 0.3 0.7 0.0 0.0

0 0 0 0.9 15.5 0 2.4 0 0 2.6 1.1 0 2.1 0 0 8.6 19.2 5 0 2.2

54 29 6 38 442 112 15 1,522 775 754 714 97 46

1,510 1,891 1,332 5,547 1,115 1,371 8,629 1,832 2,550 1,880 4,786 408 943 3,761 1,367 146 310 646 1,667 82,041

100.0 100.0 100.0 100.0 87.4 97.8 93.5 99.9 100.0 99.7 99.3 100.0 100.0

100 100 100 99.1 84.5 100 97.6 100 100 97.4 98.9 100 97.9 100 100 91.4 80.8 95 100 97.8

37,878 34,686 6,316 30,499 80,641 28,224 30,522 46,382 81,827 24,439 30,114 36,811 45,635

14,389 25,739 10,055 19,076 17,504 13,239 30,467 19,163 23,817 22,851 21,602 14,110 6,150 15,588 9,832 7,198 4,509 19,137 40,924 755,292

81.7 84.6 88.9 85.2 82.9 81.6 77.0 61.3 74.0 59.5 68.9 83.7 87.3

44.3 53.6 46.1 44 52.7 50.3 45.9 49.5 51 56.3 47.8 61.9 47.8 38.3 44.5 77.8 54.9 63.2 59.5 51.5

18.3 15.4 11.1 14.8 17.1 18.4 23.0 38.7 26.0 40.5 31.1 16.3 12.7

55.7 46.4 53.9 56 47.3 49.7 54.1 50.5 49 43.7 52.2 38.1 52.2 61.7 55.5 22.2 45.1 36.8 40.5 48.5

(continued)

8,481 6,314 788 5,285 16,614 6,380 9,140 29,248 28,809 16,655 13,604 7,187 6,621

18,057 22,254 11,740 24,293 15,717 13,074 35,927 19,582 22,878 17,726 23,622 8,675 6,714 25,115 12,243 2,054 3,702 11,119 27,872 710,839

Appendix 1 115

Kuhmoinen Kyyjärvi Laukaa Leivonmäki Luhanka Multia Muurame Petäjävesi Pihtipudas Pylkönmäki Saarijärvi Toivakka Uurainen Viitasaari Äänekoski

Pohjois-Savo Municipality 140 Iisalmi 174 Juankoski 204 Kaavi 227 Karttula 239 Keitele 263 Kiuruvesi 297 Kuopio 402 Lapinlahti 420 Leppävirta 476 Maaninka 534 Nilsiä 595 Pielavesi 686 Rautalampi

291 312 410 415 435 495 500 592 601 633 729 850 892 931 992 Total

Table 2a (continued)

42,576 30,058 46,220 31,836 28,142 59,569 78,422 33,917 81,459 27,237 44,518 65,382 37,931

75.6 82.2 79.1 79.2 70.1 59.5 85.7 72.4 85.0 78.3 79.3 69.1 84.4

13,737 6,495 12,179 8,337 11,987 40,477 13,072 12,909 14,413 7,540 11,621 29,227 7,035

7,782 13,612 7,321 9,014 2,225 19,562 1,230 7,884 27,720 9,656 15,580 4,860 6,704 21,782 13,396 307,957

(%)

24.4 17.8 20.9 20.8 29.9 40.5 14.3 27.6 15.0 21.7 20.7 30.9 15.6

13.7 42.5 14.8 28.5 12.4 30.8 10.6 20.2 31.4 32.3 21.2 16.0 22.7 20.4 18.3 22.2

35 26 195 0 24 16 38 16 0 19 28 113 0

393 278 131 39 70 179 37 18 527 87 106 61 61 390 230 4,923

(ha)

7.0 8.3 27.5 0.0 3.7 0.7 10.9 3.3 0.0 9.9 4.5 7.5 0.0

59.0 7.5 44.4 5.0 62.0 9.1 61.3 4.3 15.5 7.8 12.7 32.9 14.8 29.6 31.7 16.9

(%)

(ha)

86.3 57.5 85.2 71.5 87.6 69.2 89.4 79.8 68.6 67.7 78.8 84.0 77.3 79.6 81.7 77.8

(%)

(ha)

49,121 18,404 41,987 22,613 15,764 44,005 10,384 31,238 60,668 20,280 58,049 25,505 22,837 85,019 59,621 1,077,074

Mineral soil

Mineral soil

460 294 513 242 625 2,233 313 475 293 175 599 1,396 221

274 3,435 165 739 43 1,784 23 396 2,877 1,028 730 125 351 929 496 24,286

(ha)

Peatland

Poorly productive forest land Peatland

Forest land (%)

93.0 91.7 72.5 100.0 96.3 99.3 89.1 96.7 100.0 90.1 95.5 92.5 100.0

41.0 92.5 55.6 95.0 38.0 90.9 38.7 95.7 84.5 92.2 87.3 67.1 85.2 70.4 68.3 83.1

0 0 0 0 1 0 0 1 0 0 0 1 0

0 0 0 0 0 1 0 0 7 0 3 0 0 1 0 88

(ha)

0.0 0.0 0.0 0.0 0.5 0.0 0.1 0.4 0.0 0.2 0.0 0.1 0.0

0.0 0.0 0.0 0.0 0.0 0.1 0.0 0.0 0.7 0.1 1.0 0.0 0.1 0.5 0.1 0.9

(%)

Mineral soil

144 234 446 154 265 1,337 181 326 384 143 485 955 210

12 1,687 34 204 18 721 9 121 983 449 275 24 123 283 147 9,693

(ha)

Peatland

Unproductive land (ha)

100.0 100.0 100.0 100.0 99.5 100.0 99.9 99.6 100.0 99.8 100.0 99.9 100.0

42,611 30,084 46,415 31,836 28,167 59,585 78,460 33,935 81,459 27,257 44,547 65,496 37,931

100.0 49,514 100.0 18,682 100.0 42,119 100.0 22,652 100.0 15,834 99.9 44,184 100.0 10,421 100.0 31,256 99.3 61,202 99.9 20,367 99.0 58,158 100.0 25,566 99.9 22,897 99.5 85,410 99.9 59,851 99.1 1,082,085

(%)

Mineral soil

Total (%)

74.8 81.1 77.9 78.5 68.6 57.5 85.3 71.2 84.4 77.6 77.8 67.5 83.6

86.0 49.9 84.9 69.5 87.4 66.7 89.2 78.8 66.0 64.7 77.8 83.6 76.1 78.8 81.0 76.0

14,340 7,022 13,139 8,733 12,877 44,047 13,566 13,710 15,091 7,859 12,704 31,578 7,466

8,067 18,734 7,520 9,958 2,286 22,067 1,262 8,401 31,580 11,133 16,584 5,009 7,179 22,993 14,039 341,936

(ha)

Peatland (%)

25.2 18.9 22.1 21.5 31.4 42.5 14.7 28.8 15.6 22.4 22.2 32.5 16.4

14.0 50.1 15.1 30.5 12.6 33.3 10.8 21.2 34.0 35.3 22.2 16.4 23.9 21.2 19.0 24.0

116 Appendix 1

76,999 80,930

Kainuu Municipality 105 Hyrynsalmi 205 Kajaani

57,747 23,117 73,213 47,273 23,879 38,987 26,285 7,377 28,575 47,139 1,000,856

58,828 137,738 72,038 86,222 24,058 50,393 46,850 26,273 206,433 47,126 93,744 40,634 15,532 24,211 45,211 46,447 1,021,739

Rautavaara Siilinjärvi Sonkajärvi Suonenjoki Tervo Tuusniemi Varkaus Varpaisjärvi Vesanto Vieremä

Pohjois-Karjala Municipality 45 Eno 146 Ilomantsi 167 Joensuu 176 Juuka 248 Kesälahti 260 Kitee 276 Kontiolahti 309 Outokumpu 422 Lieksa 426 Liperi 541 Nurmes 607 Polvijärvi 632 Pyhäselkä 707 Rääkkylä 848 Tohmajärvi 911 Valtimo Total

687 749 762 778 844 857 915 916 921 925 Total

64.6 54.7

71.8 62.0 71.7 66.5 73.2 71.7 70.3 73.8 70.4 83.9 67.9 63.8 73.3 70.7 66.5 68.2 68.9

60.6 82.6 60.3 78.2 82.2 85.3 82.7 70.9 81.9 63.9 73.9

42,105 66,978

23,146 84,348 28,488 43,429 8,799 19,889 19,839 9,342 86,668 9,056 44,333 23,024 5,668 10,031 22,762 21,617 460,439

37,534 4,866 48,175 13,163 5,159 6,729 5,483 11,215 6,323 26,652 354,329

35.4 45.3

28.2 38.0 28.3 33.5 26.8 28.3 29.7 26.2 29.6 16.1 32.1 36.2 26.7 29.3 33.5 31.8 31.1

39.4 17.4 39.7 21.8 17.8 14.7 17.3 29.1 18.1 36.1 26.1

155 307

235 293 18 127 18 5 88 7 434 142 158 2 0 16 0 46 1,589

76 11 26 0 0 98 0 26 0 0 749

1.6 2.3

10.5 1.9 1.0 2.9 4.8 0.8 9.3 1.7 3.6 41.9 3.1 0.2 0.0 3.0 0.0 2.0 3.2

1.5 9.5 0.5 0.0 0.0 35.2 0.0 4.4 0.0 0.0 3.4

0 1 0 0 0 0 9 0 0 0 14

91 124

89.5 1 98.1 642 99.0 14 97.1 92 95.2 36 99.2 2 90.7 64 98.3 2 96.4 320 58.1 9 96.9 103 99.8 6 100.0 0 97.0 5 100.0 0 98.0 108 96.8 1,404

98.5 90.5 99.5 100.0 100.0 64.8 100.0 95.6 100.0 100.0 96.6

9,611 98.4 12,889 97.7

1,994 15,268 1,818 4,189 350 683 859 390 11,537 197 4,983 1,310 192 502 1,003 2,232 47,508

4,943 102 5,141 204 109 181 139 570 159 1,896 21,283

1.2 1.7

0.1 3.1 0.9 3.9 16.1 0.3 8.5 0.3 2.7 4.7 4.1 0.4 0.0 0.8 0.0 10.3 3.0

0.0 0.4 0.0 0.0 0.0 0.0 4.9 0.0 0.5 0.0 0.1

7,258 7,229

1,787 20,112 1,532 2,265 189 661 692 665 11,384 181 2,390 1,594 151 612 895 943 46,053

4,547 137 3,912 336 119 207 171 434 86 1,324 16,535

98.8 98.3

77,246 81,362

99.9 59,064 96.9 138,674 99.1 72,070 96.1 86,441 83.9 24,112 99.7 50,401 91.5 47,002 99.7 26,282 97.3 207,187 95.3 47,277 95.9 94,005 99.6 40,642 100.0 15,532 99.2 24,231 100.0 45,212 89.7 46,601 97.0 1,024,733

100.0 57,823 99.6 23,128 100.0 73,239 100.0 47,273 100.0 23,879 100.0 39,085 95.1 26,293 100.0 27,404 99.5 28,575 100.0 47,139 99.9 1,001,620

56.7 48.3

68.7 53.7 69.4 63.4 72.1 70.4 68.7 71.7 65.4 83.4 64.5 61.1 72.1 68.5 64.7 65.3 64.9

55.1 81.9 56.1 77.5 81.6 84.6 81.9 69.2 81.3 61.2 71.9

43.3 51.7

31.3 46.3 30.6 36.6 27.9 29.6 31.3 28.3 34.6 16.6 35.5 38.9 27.9 31.5 35.3 34.7 35.1

44.9 18.1 43.9 22.5 18.4 15.4 18.1 30.8 18.7 38.8 28.1

(continued)

58,974 87,096

26,927 119,729 31,838 49,883 9,338 21,233 21,389 10,397 109,590 9,435 51,706 25,928 6,010 11,145 24,661 24,792 554,000

47,024 5,104 57,228 13,702 5,387 7,116 5,793 12,219 6,568 29,871 392,147

Appendix 1 117

Kuhmo Paltamo Puolanka Ristijärvi Sotkamo Suomussalmi Vaala

Pohjois-Pohjanmaa Municipality 9 Alavieska 69 Haapajärvi 71 Haapavesi 72 Hailuoto 84 Haukipudas 139 Ii 208 Kalajoki 244 Kempele 247 Kestilä 255 Kiiminki 305 Kuusamo 317 Kärsämäki 425 Liminka 436 Lumijoki 483 Merijärvi 494 Muhos 535 Nivala 563 Oulainen 564 Oulu 567 Oulunsalo

290 578 620 697 765 777 785 Total

Table 2a (continued)

9,858 31,834 31,971 9,249 19,089 54,302 26,385 3,147 16,153 13,260 288,597 24,266 11,946 5,126 10,018 22,560 19,549 24,794 11,163 5,346

61.6 55.1 42.7 66.3 62.6 50.4 56.2 44.6 38.8 56.9 81.2 47.1 33.2 39.6 56.6 47.1 64.4 55.4 56.4 50.2

6,149 25,934 42,868 4,701 11,401 53,507 20,540 3,902 25,496 10,038 66,650 27,293 24,050 7,822 7,680 25,363 10,799 19,954 8,628 5,306

148,267 28,939 69,268 23,422 83,952 136,504 46,615 646,049

(%)

38.4 44.9 57.3 33.7 37.4 49.6 43.8 55.4 61.2 43.1 18.8 52.9 66.8 60.4 43.4 52.9 35.6 44.6 43.6 49.8

36.5 36.2 34.4 32.2 36.7 32.3 51.1 36.5

117 62 80 289 203 594 963 36 86 94 2,202 43 107 97 115 106 40 116 131 84

390 98 331 79 469 1,081 379 3,291

(ha)

11.4 1.8 1.3 25.3 6.8 4.6 26.1 3.3 1.3 3.8 3.5 1.0 1.3 7.3 15.1 1.4 3.9 4.7 11.3 5.7

1.2 3.0 1.5 2.1 4.2 2.2 2.4 2.0

(%)

(ha)

63.5 63.8 65.6 67.8 63.3 67.7 48.9 63.5

(%)

(ha)

258,362 50,934 131,830 49,315 144,977 286,672 44,580 1,124,602

Mineral soil

Mineral soil

911 3,429 5,910 853 2,779 12,204 2,722 1,069 6,306 2,363 61,598 4,400 7,948 1,235 647 7,733 993 2,342 1,033 1,384

31,352 3,191 22,219 3,675 10,669 48,421 15,299 157,325

(ha)

Peatland

Poorly productive forest land Peatland

Forest land

88.6 98.2 98.7 74.7 93.2 95.4 73.9 96.7 98.7 96.2 96.5 99.0 98.7 92.7 84.9 98.6 96.1 95.3 88.7 94.3

98.8 97.0 98.5 97.9 95.8 97.8 97.6 98.0

(%)

21 41 1 227 90 145 381 22 16 34 737 1 63 54 33 27 10 40 32 12

185 71 192 59 75 867 265 1,929

(ha)

3.0 1.8 0.0 13.6 2.8 0.8 21.2 1.7 0.3 1.4 1.3 0.0 0.8 4.8 9.6 0.3 1.4 2.9 2.3 0.8

0.7 3.3 1.3 1.8 1.1 2.4 2.1 1.6

(%)

Mineral soil

702 2,181 4,170 1,435 3,083 19,026 1,413 1,309 5,118 2,457 55,451 1,950 7,630 1,081 313 9,105 698 1,346 1,347 1,488

26,624 2,083 15,029 3,153 6,617 35,902 12,173 116,069

(ha)

Peatland

Unproductive land (ha)

97.0 98.2 100.0 86.4 97.2 99.2 78.8 98.3 99.7 98.6 98.7 100.0 99.2 95.2 90.4 99.7 98.6 97.1 97.7 99.2

9,997 31,937 32,051 9,764 19,382 55,041 27,729 3,206 16,255 13,388 291,535 24,310 12,116 5,277 10,167 22,693 19,599 24,950 11,326 5,442

99.3 258,937 96.7 51,103 98.7 132,354 98.2 49,454 98.9 145,521 97.6 288,621 97.9 45,224 98.4 1,129,822

(%)

Mineral soil

Total (%)

56.3 50.3 37.7 58.3 52.9 39.4 52.9 33.8 30.6 47.4 61.3 41.9 23.4 34.2 54.1 35.0 61.1 51.3 50.7 40.0

55.7 59.9 55.4 62.0 59.0 56.7 37.9 55.1

7,761 31,543 52,948 6,990 17,263 84,738 24,674 6,279 36,919 14,858 183,699 33,643 39,627 10,138 8,640 42,201 12,490 23,643 11,009 8,178

206,243 34,212 106,516 30,249 101,238 220,827 74,086 919,442

(ha)

Peatland (%)

43.7 49.7 62.3 41.7 47.1 60.6 47.1 66.2 69.4 52.6 38.7 58.1 76.6 65.8 45.9 65.0 38.9 48.7 49.3 60.0

44.3 40.1 44.6 38.0 41.0 43.3 62.1 44.9

118 Appendix 1

Piippola Pudasjärvi Pulkkila Pyhäjoki Pyhäsalmi Pyhäntä Raahe Rantsila Reisjärvi Sievi Siikajoki Taivalkoski Tyrnävä Utajärvi Vihanti Yli-Ii Ylikiiminki Ylivieska

Lapland Municipality 47 Enontekiö 148 Inari 240 Kemi 241 Keminmaa 261 Kittilä 273 Kolari 320 Kemijärvi 498 Muonio 583 Pelkosenniemi 614 Posio 683 Ranua 698 Rovaniemi 732 Salla 742 Savukoski

603 615 617 625 626 630 678 682 691 746 748 832 859 889 926 972 973 977 Total

89,382 693,174 4,966 25,862 393,766 128,443 198,482 112,820 82,513 163,506 130,798 411,786 303,247 382,285

14,186 225,773 10,692 22,567 56,357 24,875 19,739 16,538 21,172 31,314 27,983 146,416 9,547 49,450 14,191 24,252 32,502 23,870 1,410,035

94.8 97.3 77.5 57.3 84.3 74.0 78.7 93.1 68.2 78.8 65.0 73.6 79.4 86.9

40.4 61.2 37.0 54.1 54.1 41.7 51.3 33.0 61.8 58.9 41.0 80.3 36.5 46.2 42.7 47.5 48.5 58.9 57.9

4,951 18,942 1,442 19,260 73,229 45,234 53,878 8,347 38,493 44,067 70,336 148,006 78,670 57,666

20,885 143,151 18,224 19,161 47,871 34,777 18,711 33,522 13,091 21,844 40,228 35,816 16,582 57,506 19,041 26,821 34,470 16,635 1,026,416

5.3 2.7 22.5 42.7 15.7 26.0 21.4 6.9 31.8 21.2 35.0 26.4 20.6 13.1

149,753 299,115 79 329 23,627 1,882 2,326 9,201 1,681 3,277 1,599 4,542 27,456 33,417

59.6 50 38.8 2,432 63.0 31 45.9 488 45.9 380 58.3 134 48.7 138 67.0 85 38.2 33 41.1 332 59.0 267 19.7 3,245 63.5 56 53.8 293 57.3 60 52.5 189 51.5 166 41.1 71 42.1 14,017

85.6 73.0 35.7 7.7 15.9 4.1 4.1 30.4 4.8 6.7 2.3 4.2 24.5 28.2

1.5 3.7 1.5 19.6 6.3 1.7 5.8 1.1 1.1 4.4 3.1 11.4 1.0 1.5 1.5 2.6 1.8 2.7 4.3

25,171 110,884 142 3,961 124,874 44,284 53,970 21,095 33,410 45,850 69,314 104,060 84,511 85,136

3,381 63,952 1,978 1,999 5,683 7,913 2,259 7,779 2,893 7,178 8,408 25,219 5,284 19,551 3,989 7,006 8,940 2,575 313,845

14.4 27.1 64.3 92.3 84.1 95.9 95.9 69.6 95.2 93.3 97.8 95.8 75.5 71.8

346,119 165,039 97 159 8,449 684 1,378 2,247 1,034 879 717 1,638 7,559 8,145

98.5 1 96.3 246 98.5 0 80.4 158 93.7 28 98.3 5 94.2 84 98.9 5 98.9 114 95.6 188 96.9 227 88.6 788 99.0 0 98.5 35 98.5 33 97.4 43 98.2 23 97.3 40 95.7 4,006

66.0 44.4 19.3 2.0 4.6 2.5 4.6 8.2 4.4 2.5 1.2 2.8 11.7 11.5

0.0 0.2 0.0 9.3 0.6 0.1 4.6 0.1 9.1 3.6 3.2 3.1 0.0 0.1 1.5 0.4 0.2 3.0 1.1

178,436 206,926 406 7,859 175,114 26,750 28,377 25,264 22,610 34,820 58,193 57,830 57,345 62,896

34.8 42.4 33.2 50.6 49.4 33.4 46.8 26.3 55.5 48.4 33.9 63.7 27.6 32.2 36.1 35.8 35.8 53.9 45.9

34.0 585,254 73.7 55.6 1,157,328 77.5 80.7 5,142 72.1 98.0 26,349 45.9 95.4 425,841 53.3 97.5 131,010 53.0 95.4 202,186 59.8 91.8 124,268 69.4 95.6 85,228 47.4 97.5 167,662 57.3 98.8 133,114 40.2 97.3 417,966 57.4 88.4 338,262 60.5 88.5 423,847 67.3

2,388 100.0 14,237 103,025 99.8 228,451 1,398 100.0 10,722 1,546 90.7 23,214 4,577 99.4 56,765 7,217 99.9 25,014 1,743 95.4 19,962 5,265 99.9 16,628 1,143 90.9 21,319 4,979 96.4 31,834 6,870 96.8 28,476 24,752 96.9 150,449 3,268 100.0 9,603 27,820 99.9 49,779 2,220 98.5 14,284 10,056 99.6 24,483 15,229 99.8 32,691 1,288 97.0 23,980 346,086 98.9 1,428,057

26.3 22.5 27.9 54.1 46.7 47.0 40.3 30.6 52.6 42.7 59.8 42.6 39.5 32.7

65.2 57.6 66.8 49.4 50.6 66.6 53.2 73.7 44.5 51.6 66.1 36.3 72.4 67.8 63.9 64.2 64.2 46.1 54.1

(continued)

208,558 336,753 1,990 31,080 373,217 116,268 136,225 54,705 94,513 124,737 197,843 309,896 220,526 205,698

26,654 310,127 21,600 22,706 58,130 49,906 22,714 46,566 17,127 34,001 55,506 85,787 25,134 104,876 25,250 43,882 58,639 20,498 1,686,347

Appendix 1 119

751 758 845 851 854 890 976 Total

Simo Sodankylä Tervola Tornio Pello Utsjoki Ylitornio

Table 2a (continued)

42,261 87,037 50,879 34,778 35,929 337 62,476 976,217

(%) 47.0 13.0 46.5 42.1 26.7 5.4 44.2 19.5

(%)

538 2.4 44,576 20.7 389 1.7 404 3.5 870 3.8 103,723 98.5 1,542 4.7 710,324 39.5

(ha)

(ha)

53.0 87.0 53.5 57.9 73.3 94.7 55.8 80.5

(%)

(ha)

47,590 581,110 58,526 47,875 98,715 5,961 78,847 4,039,654

Mineral soil

Mineral soil 22,090 171,213 22,245 11,146 22,304 1,578 31,513 1,088,750

(ha)

Peatland

Poorly productive forest land Peatland

Forest land (ha)

(%)

97.6 325 1.2 79.3 51,682 18.6 98.3 989 6.6 96.5 446 4.2 96.3 387 4.1 1.5 323,231 80.7 95.3 746 4.1 60.5 921,949 41.1

(%)

Mineral soil 26,004 226,860 13,923 10,119 9,146 77,101 17,424

(ha)

Peatland

Unproductive land

98.8 81.5 93.4 95.8 95.9 19.3 95.9 58.9

(%) 48,452 677,368 59,904 48,726 99,971 432,914 81,134 5,671,928

(ha)

Mineral soil

Total (%) 34.9 58.3 40.8 46.5 59.7 84.6 42.1 62.6

(%)

90,354 65.1 485,110 41.7 87,047 59.2 56,043 53.5 67,378 40.3 79,016 15.4 111,413 57.9 3,388,368 37.4

(ha)

Peatland

120 Appendix 1

2,393 4,751 5,428 5,468 2,922 5,897 6,486 2,810 1,211 5,390 1,501 410 5,459 783 4,507 3,312 58,728

13,782 1,303 5,831 5,805 8,756

Åland Municipality 35 Brändö 43 Eckerö 60 Finström 62 Föglö 65 Geta 76 Hammarland 170 Jomala 295 Kumlinge 318 Kökar 417 Lemland 438 Lumparland 478 Mariehamn 736 Saltvik 766 Sottunga 771 Sund 941 Vårdö Total

Rannikko/Etelärannikko Municipality 40 Dragsfjärd 49 Espoo-Esbo 78 Hanko-Hangö 91 Helsinki-Helsingfors 92 Vantaa-Vanda

(ha)

Mineral soil

140.3 166.6 140.5 137.9 158.7

89.7 138.5 134.6 131.2 131.8 136.6 140.2 110.0 90.0 136.3 140.0 108.5 145.1 98.1 1,380 132.2 132.1

(m /ha)

3

1,310 1,953 1,013 721 1,358

508 764 902 728 402 105 1,064 415 93 960 192 49 772 91 650 420 9,066

(ha)

Peatland

Total

169.0 153.7 125.6 131.0 148.8

103.5 194.0 185.5 172.3 194.7 188.5 193.4 153.2 132.3 186.1 185.4 169.5 194.4 143.5 187.8 179.1 180.4

15,092 15,256 6,845 6,526 10,113

2,901 5,515 6,330 6,196 3,323 693 7,551 3,225 1,304 6,350 1,693 459 6,231 874 5,157 3,732 67,794

(m /ha) (ha)

3

Forest land

142.8 165.0 138.3 137.2 157.4

92.1 146.2 141.9 136.0 139.4 144.5 147.7 115.6 93.0 149 145.1 115.1 151.2 102.9 144.2 137.4 138.5

(m /ha)

3

17,726 14,600 7,389 6,043 9,036

4,943 7,033 7,066 8,177 5,298 8,112 7,954 5,065 1,802 706 2,289 576 8,816 1,297 6,666 6,048 88,168

(ha)

3

Peatland

117.5 154.8 119.3 133.7 154.6

56.8 104.1 111.9 103.4 86.8 108.9 121.6 76.4 70.8 114 107.0 88.6 104.4 72.4 106.4 88.8 100.1

1,475 1,990 1,082 753 1,398

595 835 970 817 452 1,137 1,126 466 96 104 217 56 878 97 724 476 9,964

(m /ha) (ha)

Mineral soil

151.6 150.8 119.3 125.6 144.6

101.2 182.5 176.6 159.4 178.7 179.3 186.3 144.6 131.0 173 169.8 156.5 176.6 138.8 174.1 163.8 169.5

(m /ha)

3

120.1 154.3 119.3 132.8 153.3

61.6 112.4 119.7 108.5 94.0 117.6 129.6 82.2 73.8 121. 112.4 94.6 110.9 77.0 113.1 94.3 107.2

(m3/ha)

(continued)

19,201 16,591 8,472 6,796 10,434

5,539 7,868 8,036 8,994 5,750 9,248 9,080 5,530 1,898 800 2,506 631 9,694 1,393 7,390 6,524 98,132

(ha)

Total

Forest and poorly productive forest land

Table 2b Area and mean volume of growing stock on mineral soils and peatlands on forest land and forest and poorly productive forest land (By forestry centres).

Appendix 1 121

753 755 835 923 Total

424 434 533 573 585 606 638 701

279 407

243 257

101 149 150 220 235

Mineral soil

(ha) Houtskär-Houtskari 6,617 Ingå-Inkoo 15,526 Iniö 3,565 Karis-Karjaa 9,855 167 KauniainenGrankulla Kimito-Kemiö 15,388 16,545 KirkkonummiKyrkslätt Korpo-Korppoo 8,013 15,157 LapinjärviLappträsk Liljendal 5,056 Loviisa-Lovisa 2,390 Nagu-Nauvo 12,280 Pargas-Parainen 13,489 Pernå-Pernaja 22,431 Pohja-Pojo 12,767 Porvoo-Borgå 32,411 13,305 RuotsinpyhtääStrömfors Sipoo-Sibbo 17,330 Siuntio-Sjundeå 11,160 Ekenäs-Tammisaari 38,379 Västanfjärd 5,167 324,477

Table 2b (continued)

169.5 174.3 136.4 135.8 148.6

152.7 159.9 130.4 126.9 148.8 132.7 159.4 149.4

121.5 157.0

136.5 159.8

(m /ha) 127.4 169.3 142.3 151.0 157.6

3

2,261 1,252 5,388 535 41,186

702 357 726 1,064 3,392 2,131 4,019 2,753

387 2,083

2,002 2,169

(ha) 165 1,846 127 1,439 34

Total

143.7 175.9 144.7 166.7 144.4

133.3 132.8 141.1 122.5 134.1 140.6 124.5 127.1

103.7 139.3

163.7 170.9

19,591 12,412 43,767 5,701 365,663

5,759 2,747 13,006 14,554 25,824 14,898 36,430 16,058

8,400 17,240

17,390 18,714

(m /ha) (ha) 90.5 6,782 174.5 17,372 100.7 3,692 155.9 11,293 155.4 201

3

Forest land Peatland

166.5 174.5 137.4 138.7 148.1

150.4 156.4 131.0 126.6 146.9 133.8 155.6 145.6

120.7 154.8

139.6 161.1

(m /ha) 126.5 169.8 140.9 151.7 157.2

3

18,140 12,125 46,334 6,264 374,098

5,318 2,536 17,067 16,076 23,714 14,191 34,523 14,030

11,514 15,866

17,723 20,014

(ha) 9,115 18,813 5,131 10,625 184

Peatland

164.2 162.6 121.2 119.5 134.7

147.6 154.5 105.5 111.6 143.5 123.5 153.0 144.4

98.0 152.2

123.2 140.7

2,342 1,272 5,856 639 43,356

707 359 909 1,226 3,429 2,274 4,096 2,757

421 2,144

2,241 2,245

(m /ha) (ha) 105.1 199 148.7 1,872 111.6 166 143.5 1,471 146.5 34

3

138.7 173.1 135.4 143.7 137.9

132.5 131.8 113.3 106.9 132.6 133.3 122.2 126.9

97.0 135.4

148.6 165.2

(m /ha) 77.4 172.2 78.1 152.7 153.3

3

20,482 13,397 52,190 6,904 417,454

6,024 2,895 17,975 17,302 27,142 16,465 38,618 16,787

11,935 18,010

19,964 22,259

(ha) 9,314 20,685 5,298 12,096 219

Total

Forest and poorly productive forest land Mineral soil

161.3 163.6 122.8 121.7 135.1

145.9 151.7 105.9 111.2 142.1 124.8 149.7 141.5

98.0 150.2

126.0 143.2

(m3/ha) 104.5 150.8 110.6 14.6 147.6

122 Appendix 1

19,795 3,701 1,636 21,107

16,672 1,243 9,178 135,310

116.3 101.5 93.3

101.3

92.1

122.1 112.6

107.6

146.2 144.7 150.1 143.1 147.6

Lounais-Suomi Municipality 6 Alastaro 17 Askainen 19 Aura 50 Eura 51 Eurajoki 2,759 186 619 6,273 3,629

19,653 2,739 9,842 8,264

107.0 93.2 103.4 109.2

9,170 2,636 3,336 22,065 17,983

57 6,509 3,518 11,394

108.9 103.6 106.8 117.7

Rannikko/Pohjanmaa Municipality 231 Kaskinen-Kaskö 589 272 Kokkola-Karleby 14,374 280 Korsnäs 13,904 287 Kristinestad36,114 Kristiinankaupunki 288 Kronoby-Kruunupyy 29,158 440 Larsmo-Luoto 6,990 475 Malax-Maalahti 25,466 45,686 499 KorsholmMustasaari 545 Närpes-Närpiö 44,442 559 Oravais-Oravainen 8,956 3,918 598 JakobstadPietarsaari 599 Pedersöre33,127 Pedersören kunta 32,181 893 NykarlebyUusikaarlepyy 905 Vaasa-Vasa 8,765 29,599 945 Vörå-MaxmoVöyri-Maksamaa Total 333,268

154.1 139.3 150.5 145.2 149.9

96.4

94.8 104.4

87.1

90.8

107.3 90.2 98.9

94.7 91.1 81.1 91.1

107.0 101.9 93.4 115.4

11,929 2,821 3,955 28,339 21,612

468,578

10,008 38,777

48,853

54,234

64,237 12,657 5,554

48,811 9,729 35,308 53,950

646 20,883 17,422 47,508

148.0 144.4 150.2 143.6 148.0

104.3

118.7 110.7

90.4

97.2

113.5 98.2 95.0

102.1 92.6 97.2 106.4

108.7 103.1 104.1 117.2

9,387 2,928 3,441 22,598 18,422

340,823

8,916 30,587

33,271

33,981

45,156 9,456 4,061

29,799 7,331 25,760 46,436

625 14,754 14,016 36,674

143.4 134.1 146.3 140.5 144.8

105.9

120.4 110.4

90.0

99.4

115.0 97.9 91.1

105.4 90.8 102.6 107.8

104.3 101.8 106.2 116.4

2,943 208 667 6,749 3,868

153,856

1,360 9,974

18,926

24,307

22,079 4,300 1,858

22,705 3,187 11,070 10,497

66 7,333 3,831 12,363

145.9 132.2 142.4 137.1 142.3

87.0

89.7 98.4

78.8

81.2

97.5 80.7 89.1

84.4 80.5 74.6 76.8

97.7 92.1 88.2 107.6

144.0 134.0 145.7 139.7 144.3

100.0

116.3 107.5

85.9

91.8

109.2 92.5 90.5

96.3 87.7 94.2 102.1

103.7 98.5 102.4 114.2

(continued)

12,330 3,137 4,108 29,347 22,290

494,679

10,277 40,561

52,198

58,288

67,235 13,756 5,920

52,505 10,518 36,830 56,932

691 22,086 17,847 49,037

Appendix 1 123

73 79 99 102 181 202 214 230 252 254 259 262 271 284 304 308 319 400 406 413 419 423 430 442 480 481 482 484

Halikko Harjavalta Honkajoki Huittinen Jämijärvi Kaarina Kankaanpää Karvia Kiikala Kiikoinen Kisko Kiukainen Kokemäki Koski Tl Kustavi Kuusjoki Köyliö Laitila Lappi Lavia Lemu Lieto Loimaa Luvia Marttila Masku Mellilä Merikarvia

Table 2b (continued)

(ha) 15,857 5,144 11,861 14,925 8,997 2,000 28,263 16,412 11,512 7,096 13,947 5,524 21,839 6,006 8,519 3,796 10,431 26,113 10,975 17,395 1,674 7,642 13,184 10,361 7,084 3,748 2,576 23,569

Mineral soil

(m /ha) 153.8 140.8 99.6 156.0 129.0 134.3 122.2 101.7 157.7 142.3 154.2 145.4 143.5 162.6 141.5 165.8 141.5 144.3 141.2 136.1 127.4 149.5 162.3 168.0 154.6 133.1 153.6 130.3

3

(ha) 2,074 1,981 9,425 4,891 3,662 133 17,430 15,674 2,524 2,083 2,952 1,269 6,935 1,948 556 871 4,297 6,306 2,403 5,640 122 1,207 4,626 1,523 2,016 516 991 8,876

Total (m /ha) (ha) 143.4 17,931 132.1 7,124 84.6 21,286 145.0 19,817 103.8 12,659 124.0 2,133 95.7 45,693 84.2 32,087 145.4 14,036 118.7 9,179 150.2 16,899 154.4 6,792 131.5 28,774 173.3 7,954 164.2 9,075 160.1 4,667 138.5 14,728 144.9 32,419 141.8 13,377 118.9 23,035 110.1 1,796 158.8 8,849 174.7 17,811 172.5 11,884 141.4 9,100 143.2 4,264 148.6 3,567 111.5 32,445

3

Forest land Peatland (m /ha) 152.6 138.4 92.9 153.3 121.7 133.6 112.1 93.2 155.5 136.9 153.5 147.1 140.6 165.2 142.8 164.7 140.6 144.4 141.3 131.9 126.2 150.8 165.5 168.5 151.6 134.4 152.2 125.1

3

(ha) 16,790 5,280 11,883 15,024 9,164 2,287 28,450 16,450 11,970 7,136 14,517 5,595 22,112 6,097 10,991 3,853 10,715 27,010 11,487 17,480 1,819 8,094 13,424 10,436 7,240 4,127 2,616 23,778

Peatland

(m /ha) (ha) 147.0 2,301 137.8 2,140 99.5 10,772 155.1 5,485 127.1 4,083 122.6 148 121.6 19,663 101.6 18,055 152.9 2,783 141.6 2,326 149.3 3,184 143.9 1,320 142.1 7,512 160.5 2,074 119.1 683 163.6 911 138.4 4,887 140.6 7,074 136.3 2,556 135.6 6,350 120.0 129 142.8 1,302 159.9 5,028 167.0 1,584 151.7 2,226 124.6 556 151.6 1,198 129.5 9,446

3

(m /ha) 134.3 124.6 75.5 131.9 94.8 121.8 86.6 74.6 135.0 108.3 142.0 149.7 123.6 163.9 136.7 154.7 125.2 131.6 134.6 107.8 110.5 150.3 162.3 166.8 130.7 138.7 127.0 105.8

3

(ha) 19,090 7,419 22,655 20,509 13,247 2,435 48,113 34,506 14,753 9,462 17,702 6,915 29,624 8,171 11,674 4,763 15,602 34,084 14,043 23,830 1,947 9,395 18,452 12,021 9,465 4,683 3,814 33,224

Total

Forest and poorly productive forest land Mineral soil

(m3/ha) 145.5 134.0 88.1 148.9 117.1 122.5 107.3 87.5 149.5 133.4 148.0 145.0 137.4 161.4 120.1 161.9 134.3 138.7 136.0 128.2 119.4 143.9 160.5 166.9 146.8 126.3 143.9 122.8

124 Appendix 1

485 501 503 529 531 537 538 561 577 586 587 602 608 609 631 636 680 684 704 705 734 738 747 761 776 783 784 833 838 853 886 895

Merimasku Muurla Mynämäki Naantali Nakkila Noormarkku Nousiainen Oripää Paimio Perniö Pertteli Piikkiö Pomarkku Pori Pyhäranta Pöytyä Raisio Rauma Rusko Rymättylä Salo Sauvo Siikainen Somero Suomusjärvi Säkylä Särkisalo-Finby Taivassalo Tarvasjoki Turku-Åbo Ulvila Uusikaupunki

2,507 3,463 23,863 2,274 6,833 18,383 8,790 4,017 9,976 19,188 5,609 3,564 16,798 23,677 8,410 16,184 1,716 15,766 1,969 6,878 6,323 10,953 23,029 26,056 9,236 7,305 4,805 5,934 3,756 7,948 20,119 25,758

148.7 154.7 136.5 141.4 147.9 144.8 151.8 138.9 146.5 158.2 154.9 143.2 159.1 143.6 152.0 150.5 133.8 144.0 135.3 141.8 147.8 135.4 130.1 160.7 150.2 140.8 155.4 139.9 153.3 132.4 139.2 128.9

150 694 7,378 97 1,897 6,039 1,992 1,540 1,168 3,929 1,017 250 5,909 4,542 1,172 4,341 135 2,138 292 285 1,080 993 10,899 7,118 1,691 2,341 509 283 601 854 7,244 2,653

183.7 155.8 131.1 158.8 158.5 136.0 147.6 143.6 145.9 156.4 152.4 142.0 141.5 146.5 153.5 145.0 128.9 149.5 144.3 133.4 147.8 129.7 104.0 165.7 150.9 143.1 153.8 159.5 150.4 123.0 134.8 123.8

2,657 4,156 31,242 2,371 8,730 24,421 10,782 5,558 11,144 23,117 6,626 3,813 22,706 28,219 9,582 20,526 1,852 17,904 2,262 7,163 7,403 11,946 33,928 33,174 10,927 9,646 5,314 6,217 4,357 8,802 27,364 28,411

150.7 154.9 135.2 142.1 150.2 142.6 151.0 140.2 146.4 157.9 154.5 143.1 154.5 144.0 152.2 149.4 133.4 144.7 136.4 141.5 147.8 135.0 121.7 161.8 150.3 141.3 155.3 140.8 152.9 131.5 138.1 128.4

2,917 3,640 24,851 2,634 6,895 18,552 9,328 4,143 11,049 20,306 5,861 3,968 16,955 23,944 8,755 16,534 1,925 16,706 2,117 9,059 6,591 12,240 23,262 26,512 9,662 7,693 5,180 7,207 3,853 8,994 20,286 28,497

133.7 148.5 132.3 127.8 146.8 143.8 144.8 135.4 135.4 151.2 149.4 132.2 158.0 142.3 147.3 147.9 124.2 137.8 128.7 117.1 142.9 125.1 129.1 158.6 145.2 135.2 147.1 122.1 150.0 122.1 138.3 120.1

162 737 8,329 113 1,994 6,707 2,194 1,630 1,268 4,344 1,064 279 6,576 4,790 1,240 4,921 153 2,244 307 346 1,130 1,068 11,865 7,549 1,823 2,561 540 320 634 936 8,148 2,853

173.7 148.6 119.6 144.9 152.4 124.9 137.3 137.4 139.2 143.9 147.8 135.5 129.5 140.2 146.8 131.6 124.1 143.8 143.8 115.8 143.7 125.6 96.8 157.6 142.8 133.6 148.8 151.0 145.3 119.1 122.5 119.0

135.8 148.5 129.1 128.5 148.0 138.8 143.4 136.0 135.8 149.9 149.2 132.4 150.0 141.9 147.3 144.1 124.2 138.5 130.6 117.0 143.0 125.1 118.2 158.4 144.8 134.8 147.2 123.3 149.3 121.8 133.8 120.0 (continued)

3,079 4,377 33,179 2,747 8,889 25,259 11,522 5,774 12,316 24,651 6,925 4,247 23,532 28,735 9,994 21,455 2,078 18,949 2,424 9,404 7,720 13,309 35,127 34,061 11,486 10,254 5,720 7,527 4,487 9,930 28,434 31,350

Appendix 1 125

Vahto Vampula Vehmaa Velkua Yläne

Häme-Uusimaa Municipality 15 Artjärvi 16 Asikkala 18 Askola 61 Forssa 81 Hartola 82 Hattula 83 Hauho 86 Hausjärvi 98 Hollola 103 Humppila 106 Hyvinkää 109 Hämeenlinna 111 Heinola 165 Janakkala 169 Jokioinen 186 Järvenpää 210 Kalvola 223 Karjalohja 224 Karkkila 245 Kerava

906 913 918 920 979 Total

Table 2b (continued)

8,899 37,907 10,824 10,450 38,156 18,172 20,564 17,035 27,242 5,542 15,238 8,643 50,807 26,504 6,822 1,386 16,421 6,513 13,055 1,311

3,310 5,063 8,319 1,634 17,175 758,227

(ha)

Mineral soil

146.6 161.3 162.9 159.1 160.8 149.9 182.9 161.2 151.4 162.7 160.6 152.4 148.4 165.5 166.5 139.8 147.4 135.1 163.8 150.4

150.8 160.3 129.6 136.7 144.7 142.9

(m /ha)

3

555 5,093 1,336 3,301 5,786 7,149 4,013 3,031 2,472 1,643 4,203 2,089 6,056 7,090 1,200 111 5,897 1,099 3,150 148

866 1,670 848 50 6,587 217,651

(ha)

Total

151.1 129.8 192.2 145.5 123.3 134.7 145.6 144.4 127.8 183.0 141.6 156.4 104.6 148.9 170.4 140.4 147.0 150.4 157.5 157.8

141.5 152.2 107.3 150.5 130.7 129.0

9,454 43,000 12,160 13,752 43,942 25,321 24,577 20,066 29,714 7,185 19,441 10,732 56,862 33,594 8,022 1,497 22,318 7,612 16,205 1,459

4,177 6,733 9,167 1,684 23,763 975,878

(m /ha) (ha)

3

Forest land Peatland

146.9 157.6 166.1 155.8 155.9 145.6 176.8 158.6 149.5 167.3 156.5 153.2 143.7 162.0 167.1 139.8 147.3 137.3 162.6 151.2

148.9 158.3 127.5 137.1 140.8 139.8

(m /ha)

3

9,222 38,202 10,987 10,453 38,176 18,188 20,609 17,138 27,344 5,587 15,431 8,667 51,650 26,595 6,831 1,406 16,422 6,676 13,125 1,326

3,428 5,098 9,067 2,234 17,790 790,336

(ha)

Peatland

141.8 160.3 160.5 159.1 160.7 149.8 182.5 160.3 151.0 161.4 158.8 152.0 146.6 165.0 166.3 138.0 147.4 132.8 163.0 149.2

146.6 159.4 122.0 110.6 140.6 138.5

571 5,408 1,366 3,485 6,126 7,591 4,206 3,279 2,643 1,748 4,446 2,178 6,524 7,468 1,243 115 6,091 1,149 3,206 150

968 1,722 918 55 7,665 240,362

(m /ha) (ha)

3

147.1 124.1 188.0 138.6 118.3 128.4 140.4 134.8 120.8 173.2 135.0 151.5 98.7 142.8 165.1 134.9 143.2 144.6 155.1 155.6

130.7 148.3 104.4 140.4 116.5 119.1

(m /ha)

3

9,793 43,610 12,353 13,938 44,302 25,778 24,815 20,417 29,987 7,335 19,876 10,845 58,174 34,062 8,074 1,521 22,512 7,825 16,331 1,476

4,396 6,820 9,985 2,289 25,455 1,030,698

(ha)

Total

Forest and poorly productive forest land Mineral soil

142.1 155.8 163.6 153.9 154.9 143.5 175.4 156.2 148.3 164.2 153.5 151.9 141.2 160.1 166.1 137.8 146.3 134.5 161.5 149.8

143.1 156.6 120.4 111.3 133.3 134.0

(m3/ha)

126 Appendix 1

Hämeenkoski Kärkölä Lahti Lammi Loppi Lohja-Lojo Myrskylä-Mörskom Mäntsälä Nastola NummiPusula Nurmijärvi Orimattila Padasjoki Pornainen Pukkila Renko Riihimäki Sammatti Sysmä Tammela Tuulos Tuusula Vihti Ypäjä

Kaakkois-Suomi Municipality 44 Elimäki 75 Hamina 142 Iitti 153 Imatra 163 Jaala

283 316 398 401 433 444 504 505 532 540 543 560 576 611 616 692 694 737 781 834 855 858 927 981 Total

16,912 35,704 33,958 8,106 29,545

10,595 11,738 7,368 32,452 30,521 15,094 11,116 28,325 20,523 24,872 15,756 32,480 36,834 7,294 6,713 13,556 5,593 3,956 47,012 29,709 9,795 9,279 28,413 6,497 786,985

150.4 136.8 139.1 151.2 154.2

156.3 162.3 137.2 154.5 161.7 156.4 154.6 176.0 140.5 145.9 159.5 140.6 166.1 156.7 147.4 161.9 163.3 132.9 166.2 155.9 155.2 162.0 167.0 169.1 157.9

2,528 8,066 5,504 1,458 5,232

1,332 1,869 554 6,792 11,038 1,089 1,250 5,007 2,150 4,686 2,080 2,322 7,585 1,229 749 5,323 1,126 519 5,223 14,068 2,203 1,275 3,596 1,428 149,914

139.8 133.6 131.6 141.9 129.5

142.0 139.9 99.9 139.7 149.8 131.6 175.9 145.8 97.2 149.1 144.2 128.7 150.8 151.1 163.8 156.9 147.2 153.5 120.0 140.4 136.2 151.1 146.7 185.5 142.1

19,440 43,769 39,462 9,564 34,776

11,927 13,607 7,922 39,244 41,559 16,183 12,366 33,332 22,673 29,559 17,836 34,803 44,419 8,523 7,463 18,879 6,719 4,475 52,235 43,777 11,998 10,554 32,009 7,925 936,899

149.0 136.2 138.1 149.8 150.4

154.7 159.2 134.6 152.0 158.6 154.7 156.7 171.4 136.4 146.4 157.7 139.8 163.5 155.9 149.0 160.5 160.6 135.3 161.5 150.9 151.7 160.7 164.7 172.1 155.4

17,131 36,463 34,530 8,143 30,082

10,607 11,748 7,456 32,485 30,606 15,195 11,383 28,556 21,166 25,029 16,043 33,090 36,868 7,400 6,792 13,581 5,644 4,036 47,111 29,709 9,834 9,437 28,644 6,525 792,978

149.0 135.0 137.4 150.8 152.3

156.2 162.2 136.0 154.4 161.3 155.4 151.1 174.7 137.2 145.2 156.9 138.3 165.9 154.6 145.7 161.7 162.1 131.0 165.8 155.9 154.7 159.6 165.8 168.4 156.9

2,626 8,412 5,742 1,479 5,355

1,383 2,095 596 7,093 11,401 1,096 1,288 5,388 2,362 4,793 2,131 2,488 7,815 1,267 777 5,637 1,184 549 5,412 14,914 2,316 1,314 3,701 1,505 157,497

136.2 129.4 127.7 140.1 127.1

137.5 126.6 94.2 135.0 145.9 130.7 170.8 136.4 89.8 146.2 140.9 120.7 147.3 146.5 158.1 149.7 140.9 146.0 117.0 133.2 131.0 146.6 142.7 177.0 136.3

147.3 134.0 136.0 149.2 148.5

154.0 156.8 132.9 150.9 157.2 153.7 153.1 168.6 132.4 145.3 155.0 137.1 162.7 153.4 147.0 158.1 158.4 132.8 160.8 148.3 150.2 158.0 163.1 170.0 153.5

(continued)

19,757 44,875 40,272 9,622 35,437

11,990 13,843 8,052 39,578 42,007 16,291 12,670 33,944 23,529 29,822 18,174 35,578 44,683 8,668 7,569 19,218 6,828 4,584 52,523 44,623 12,149 10,751 32,345 8,030 950,475

Appendix 1 127

Joutseno Kotka Kouvola Kuusankoski Lappeenranta Lemi Luumäki Miehikkälä Parikkala Pyhtää-Pyttis Rautjärvi Ruokolahti Savitaipale Anjalankoski Suomenniemi Taipalsaari Valkeala Virolahti Ylämaa

Pirkanmaa Municipality 20 Akaa 108 Hämeenkyrö 143 Ikaalinen 177 Juupajoki 211 Kangasala 250 Kihniö

173 285 286 306 405 416 441 489 580 624 689 700 739 754 775 831 909 935 978 Total

Table 2b (continued)

4,637 25,287 41,722 16,130 29,906 15,059

16,410 14,898 1,813 5,645 42,299 12,957 42,741 25,521 35,232 16,812 23,067 62,775 33,893 37,366 21,088 23,043 50,601 22,320 24,303 637,007

(ha)

Mineral soil

131.7 146.8 130.4 145.3 143.7 114.6

157.5 137.1 116.8 136.6 148.9 160.2 147.1 131.8 123.0 149.1 146.0 146.8 156.5 136.9 140.5 153.0 145.3 121.5 134.5 143.2

(m /ha)

3

861 6,488 13,928 3,989 5,259 11,891

3,737 3,032 308 1,202 11,408 2,867 16,023 6,265 6,801 3,518 4,936 16,010 7,926 10,694 31,66 4,578 12,917 4,090 6,139 148,405

(ha)

Total

132.3 123.7 116.6 138.7 133.8 101.5

143.4 125.8 132.7 130.1 138.7 136.0 129.0 128.3 123.1 109.5 136.9 124.5 125.6 131.7 121.0 131.9 125.7 122.7 126.8 129.3

5,498 31,776 55,650 20,120 35,165 26,950

20,147 17,930 2,121 6,847 53,707 15,824 58,765 31,786 42,033 20,329 28,004 78,786 41,818 48,060 24,254 27,621 63,518 26,409 30,442 785,412

(m /ha) (ha)

3

Forest land Peatland

131.8 142.1 126.9 144.0 142.3 108.8

154.9 135.2 119.1 135.5 146.8 155.8 142.2 131.1 123.0 142.3 144.4 142.2 150.6 135.7 138.0 149.5 141.3 121.6 132.9 140.6

(m /ha)

3

4,650 25,349 41,913 16,192 30,049 15,202

16,413 15,381 1,832 5,706 42,314 13,012 43,056 25,694 35,298 17,302 23,112 63,305 34,355 37,903 21,412 23,182 51,420 22,678 24,414 644,139

(ha)

Peatland

131.4 146.5 129.9 144.9 143.2 113.7

157.5 134.4 116.0 135.5 149.0 159.8 146.6 131.1 123.0 146.2 145.9 145.9 155.1 135.5 139.2 152.5 143.8 120.2 134.0 142.2

898 6,920 15,077 4,181 5,474 12,801

3,856 3,234 319 1,233 11,725 2,931 16,718 6,574 6,974 4,099 5,035 16,497 8,212 11,399 3,326 4,713 13,448 4,372 6,488 154,768

(m /ha) (ha)

3

127.6 117.1 109.0 133.3 129.3 95.6

139.4 119.2 129.9 127.9 135.4 133.5 124.4 123.0 120.5 96.8 134.6 121.3 122.0 125.2 116.5 128.4 121.6 115.8 120.8 124.8

(m /ha)

3

5,548 32,269 56,990 20,373 35,523 28,003

20,268 18,615 2,150 6,939 54,039 15,943 59,774 32,268 42,273 21,401 28,147 79,802 42,567 49,302 24,739 27,895 64,869 27,050 30,902 798,907

(ha)

Total

Forest and poorly productive forest land Mineral soil

130.8 140.2 124.4 142.5 141.1 105.4

154.1 131.7 118.1 134.2 146.0 154.9 140.4 129.5 122.6 136.8 143.9 140.8 148.7 133.2 136.1 148.4 139.2 119.5 131.3 138.8

(m3/ha)

128 Appendix 1

Kuhmalahti Kuru Kylmäkoski Lempäälä Mouhijärvi Mänttä Nokia Orivesi Parkano Pirkkala Punkalaidun Pälkäne Ruovesi Tampere Urjala Valkeakoski Vammala Vesilahti Vilppula Virrat Ylöjärvi Äetsä

Etelä-Savo Municipality 46 Enonkoski 90 Heinävesi 97 Hirvensalmi 171 Joroinen 178 Juva 213 Kangasniemi 246 Kerimäki 491 Mikkeli

289 303 310 418 493 506 536 562 581 604 619 635 702 837 887 908 912 922 933 936 980 988 Total

23,743 80,143 34,123 33,115 73,568 68,904 38,032 111,691

10,631 43,212 9,313 16,195 14,897 3,621 18,027 52,531 37,896 4,802 14,132 35,798 51,486 31,491 24,047 14,870 45,890 18,210 30,578 64,346 23,887 13,374 711,977

137.2 128.2 147.1 143.7 147.0 141.0 133.8 143.3

154.4 136.4 147.6 153.8 136.5 155.5 142.1 145.1 112.5 147.0 163.4 167.4 152.9 152.2 152.4 150.7 137.3 158.4 152.8 121.5 145.1 127.4 141.9

4,813 14,708 5,998 12,856 25,183 22,434 11,462 30,078

2,340 16,097 2,324 2,706 2,889 997 2,698 9,648 25,281 664 4,781 6,161 10,516 5,697 7,053 2,598 10,378 3,225 7,459 26,901 5,205 2,775 200,810

133.6 112.4 108.4 114.9 116.3 116.0 127.6 116.4

148.7 122.8 142.5 139.5 122.5 145.1 123.0 132.4 99.7 129.8 169.3 152.8 133.5 136.2 141.4 133.1 126.7 137.7 139.3 106.3 131.8 125.1 123.1

28,556 94,851 40,121 45,972 98,751 91,338 49,494 141,769

12,971 59,309 11,637 18,902 17,786 4,617 20,725 62,179 63,177 5,466 18,914 41,958 62,002 37,188 31,101 17,468 56,268 21,435 38,037 91,247 29,092 16,149 912,787

136.6 125.8 141.3 135.7 139.2 134.9 132.3 137.6

153.3 132.7 146.6 151.7 134.3 153.3 139.6 143.1 107.4 144.9 164.9 165.2 149.6 149.7 149.9 148.1 135.3 155.3 150.1 117.0 142.7 127.0 137.7

23,834 80,143 34,274 33,140 73,867 69,031 38,257 112,044

10,692 43,381 9,340 16,221 14,949 3,634 18,071 52,694 38,117 4,809 14,327 36,012 51,707 31,572 24,153 14,922 46,065 18,262 30,712 64,760 23,946 13,440 715,142

136.8 128.2 146.6 143.6 146.6 140.8 133.4 142.9

153.7 135.9 147.2 153.6 136.2 155.1 141.8 144.7 112.0 146.9 161.5 166.6 152.4 151.8 151.9 150.3 136.9 158.1 152.2 120.9 144.8 127.0 141.3

4,870 15,290 6,503 13,658 26,866 23,875 11,958 32,867

2,426 17,453 2,423 2,784 3,067 1,022 2,819 10,132 28,889 686 5,218 6,338 11,211 5,929 7,535 2,702 11,017 3,358 7,714 29,100 5,453 2,922 215,551

132.2 109.0 101.9 109.5 110.7 110.4 123.0 108.1

144.1 114.7 137.5 136.2 116.6 142.1 118.5 127.0 89.4 126.5 156.8 149.2 126.3 131.6 133.5 128.8 120.4 133.0 135.4 99.6 126.7 119.7 115.9

136.0 125.1 139.5 133.7 137.1 133.0 131.0 135.0

151.9 129.8 145.2 151.0 132.8 152.2 138.7 141.8 102.2 144.3 160.3 164.0 147.7 148.6 147.5 147.0 133.7 154.2 148.8 114.3 141.5 125.7 135.5

(continued)

28,704 95,433 40,777 46,797 100,733 92,906 50,215 144,910

13,118 60,834 11,763 19,005 18,015 4,656 20,890 62,826 67,006 5,495 19,545 42,350 62,918 37,501 31,688 17,624 57,082 21,620 38,426 93,860 29,399 16,363 930,693

Appendix 1 129

Mäntyharju Pertunmaa Pieksämäki Punkaharju Puumala Rantasalmi Ristiina Savonlinna Savonranta Sulkava

Etelä-Pohjanmaa Municipality 4 Alahärmä 5 Alajärvi 10 Alavus 52 Evijärvi 74 Halsua 95 Himanka 145 Ilmajoki 151 Isojoki 152 Isokyrö 164 Jalasjärvi 175 Jurva 217 Kannus 218 Karijoki 232 Kauhajoki 233 Kauhava

507 588 593 618 623 681 696 740 741 768 Total

Table 2b (continued)

11,250 27,842 30,357 12,543 16,232 9,105 22,936 27,880 12,502 29,683 20,761 14,378 7,886 43,704 15,999

68,897 27,418 91,041 35,061 62,721 36,834 41,631 59,950 28,913 42,186 957,971

(ha)

Mineral soil

84.1 102.6 107.3 103.1 85.9 108.3 113.0 115.8 99.7 107.6 116.1 96.9 110.6 88.6 100.0

130.3 136.1 133.6 147.0 135.7 131.4 140.7 135.4 133.2 135.3 137.6

(m /ha)

3

7,618 23,006 22,812 12,233 11,382 7,540 11,922 18,893 6,559 20,846 10,460 13,916 4,212 38,941 12,502

15,736 4,536 42,840 8,004 8,315 9,344 6,914 10,691 5,797 8,592 248,302

(ha)

Total

85.1 81.1 86.8 82.7 54.9 93.6 94.2 86.5 85.2 86.8 89.6 88.9 90.4 73.8 86.8

120.6 110.2 117.5 131.8 118.4 125.3 124.0 129.2 116.6 118.2 118.8

18,868 50,848 53,169 24,776 27,614 16,645 34,858 46,773 19,061 50,529 31,221 28,294 12,098 82,645 28,501

84,632 31,954 133,880 43,065 71,036 46,178 48,545 70,641 34,710 50,778 1,206,273

(m /ha) (ha)

3

Forest land Peatland

84.5 92.9 98.5 93.0 73.2 101.6 106.6 104.0 94.7 99.0 107.2 93.0 103.6 81.6 94.2

128.5 132.4 128.4 144.2 133.7 130.2 138.3 134.5 130.4 132.4 133.7

(m /ha)

3

12,374 28,712 31,127 12,720 16,404 9,229 22,988 28,284 12,728 30,498 20,888 14,595 7,967 45,011 16,311

69,520 27,450 91,180 35,186 64,096 36,854 42,091 60,680 28,913 42,600 963,162

(ha)

Peatland

79.1 100.3 105.4 102.0 85.2 107.3 112.8 114.4 98.9 105.4 115.6 95.9 109.8 87.0 98.6

129.6 135.9 133.4 146.8 134.3 131.4 139.8 134.7 133.2 134.6 137.2

8,698 26,807 25,719 14,064 14,833 8,332 13,162 22,806 7,555 23,508 12,057 15,585 4,998 47,047 14,033

16,527 4,868 46,033 8,206 8,607 9,654 7,255 10,905 5,897 8,794 262,630

(m /ha) (ha)

3

76.9 71.4 78.4 73.8 44.0 86.2 86.8 73.5 76.7 78.4 79.6 80.8 78.3 62.6 79.0

115.8 104.4 110.8 129.0 114.9 122.0 119.1 127.0 115.0 115.9 113.5

(m /ha)

3

21,071 55,519 56,846 26,784 31,236 17,561 36,151 51,090 20,283 54,006 32,945 30,180 12,965 92,058 30,343

86,047 32,319 137,212 43,392 72,703 46,509 49,346 71,585 34,811 51,394 1,225,792

(ha)

Total

Forest and poorly productive forest land Mineral soil

78.2 86.3 93.2 87.2 65.6 97.3 103.4 96.2 90.7 93.6 102.4 88.1 97.6 74.5 89.6

126.9 131.2 125.8 143.4 132.0 129.5 136.8 133.5 130.1 131.4 132.1

(m3/ha)

130 Appendix 1

Kaustinen Kortesjärvi Kuortane Kurikka Kälviä Laihia Lappajärvi Lapua Lehtimäki Lestijärvi Lohtaja Nurmo Perho Seinäjoki Soini Teuva Toholampi Töysä Ullava Veteli Vimpeli Vähäkyrö Ylihärmä Ylistaro Ähtäri

Keski-Suomi Municipality 77 Hankasalmi 172 Joutsa 179 Jyväskylä 180 Jyväskylän mlk 182 Jämsä

236 281 300 301 315 399 403 408 414 421 429 544 584 743 759 846 849 863 885 924 934 942 971 975 989 Total

37,878 34,617 6,289 30,430 80,194

12,246 12,378 18,668 18,530 24,656 21,029 14,214 25,419 9,814 18,777 16,836 13,133 30,027 18,843 23,409 22,642 21,408 13,808 6,070 15,417 9,620 7,035 4,019 18,777 40,286 740,119

144.0 144.8 134.5 137.7 142.7

96.6 93.4 110.9 103.9 101.5 118.5 107.9 111.1 107.6 96.2 90.5 102.1 83.1 98.0 112.4 107.9 108.5 113.3 107.9 114.2 107.5 99.6 93.8 101.6 108.0 103.6

8,255 6,067 772 5,080 15,640

113.6 120.5 116.7 114.0 126.4

10,955 67.1 9,828 82.6 12,918 93.6 8,749 90.9 20,429 75.4 11,567 83.6 14,556 85.4 17,337 85.8 8,256 79.5 14,426 68.6 12,068 82.3 10,054 77.1 22,970 46.0 15,852 82.4 17,161 79.9 13,236 89.0 14,722 73.1 7,506 93.2 4,669 70.8 17,374 75.4 9,250 77.0 1,863 100.2 2,803 88.4 9,028 86.7 23,709 88.8 534,127 80.6

46,133 40,684 7,060 35,511 95,834

23,201 22,206 31,586 27,280 45,085 32,596 28,770 42,756 18,070 33,203 28,904 23,187 52,997 34,695 40,570 35,878 36,130 21,314 10,740 32,791 18,871 8,897 6,822 27,805 63,995 1,274,246

138.6 141.1 132.5 134.3 140.1

82.7 88.6 103.8 99.7 89.7 106.1 96.5 100.8 94.8 84.2 87.1 91.2 67.0 90.9 98.6 101.0 94.1 106.2 91.8 93.7 92.5 99.7 91.6 96.7 100.9 93.9

37,878 34,686 6,316 30,499 80,577

12,433 12,596 18,956 18,709 25,089 21,180 14,389 25,739 10,055 19,028 17,299 13,239 30,251 19,163 23,817 22,800 21,548 14,110 6,129 15,588 9,832 7,184 4,435 19,103 40,924 753,429

144.0 144.5 134.0 137.4 142.2

95.4 92.2 109.6 103.2 100.2 118.0 106.8 110.0 105.6 95.2 88.9 101.4 82.6 96.8 110.9 107.4 107.9 111.7 107.1 113.3 105.7 98.6 88.1 100.4 106.7 102.2

8,427 6,285 782 5,247 16,172

13,829 11,131 14,686 10,145 25,930 13,200 16,547 20,363 10,408 18,745 14,602 11,704 27,298 17,750 20,329 15,846 18,837 8,267 5,771 21,354 10,876 1,908 3,391 10,474 26,205 628,798

111.3 117.1 115.8 111.3 123.2

56.2 75.1 84.2 80.1 61.9 75.5 76.7 75.2 66.3 55.2 71.0 68.5 39.9 75.1 69.2 76.3 59.0 85.9 59.1 64.1 67.1 98.5 75.8 77.1 81.6 70.3

138.1 140.3 132.0 133.5 139.0 (continued)

46,304 40,971 7,098 35,746 96,749

26,262 74.8 23,727 84.2 33,642 98.5 28,853 95.0 51,019 80.8 34,381 101.7 30,936 90.7 46,102 94.6 20,463 85.6 37,773 75.3 31,901 80.7 24,943 86.0 57,549 62.3 36,914 86.3 44,146 91.7 38,646 94.7 40,384 85.1 22,376 102.2 11,900 83.8 36,942 84.8 20,708 85.4 9,092 98.6 7,826 82.8 29,577 92.2 67,128 96.9 1,382,227 87.7

Appendix 1 131

Jämsänkoski Kannonkoski Karstula Keuruu Kinnula Kivijärvi Konnevesi Korpilahti Kuhmoinen Kyyjärvi Laukaa Leivonmäki Luhanka Multia Muurame Petäjävesi Pihtipudas Pylkönmäki Saarijärvi Toivakka Uurainen Viitasaari Äänekoski

Pohjois-Savo Municipality 140 Iisalmi 174 Juankoski 204 Kaavi

183 216 226 249 256 265 275 277 291 312 410 415 435 495 500 592 601 633 729 850 892 931 992 Total

Table 2b (continued)

42,576 30,058 46,220

(ha) 28,119 30,313 46,080 81,476 24,135 29,831 36,777 45,442 49,121 18,404 41,987 22,613 15,764 44,005 10,384 31,238 60,668 20,280 58,049 25,505 22,837 85,019 59,621 1,077,074

Mineral soil

113.2 126.4 131.3

(m /ha) 126.4 113.1 104.7 115.0 87.0 102.3 132.7 135.7 139.0 90.9 135.3 140.6 135.7 111.3 131.9 123.8 103.6 106.1 122.1 135.2 126.6 115.0 129.7 123.7

3

13,737 6,495 12,179

(ha) 5,918 8,743 24,724 25,971 13,708 11,434 6,880 6,436 7,782 13,612 7,321 9,014 2,225 19,562 1,230 7,884 27,720 9,656 15,580 4,860 6,704 21,782 13,396 307,957

Total

105.5 110.8 108.1

56,313 36,552 58,399

(m /ha) (ha) 108.9 34,037 99.5 39,056 83.3 70,804 95.3 107,448 82.0 37,842 89.5 41,265 107.0 43,657 117.8 51,878 125.7 56,902 72.3 32,016 114.4 49,309 110.9 31,627 116.8 17,989 87.9 63,567 117.5 11,614 103.5 39,121 93.7 88,388 87.1 29,935 100.8 73,629 117.3 30,365 101.6 29,541 105.8 106,801 109.1 73,017 99.9 1,385,031

3

Forest land Peatland

111.3 123.7 126.5

(m /ha) 123.3 110.1 97.2 110.2 85.2 98.8 128.7 133.5 137.2 83.0 132.2 132.1 133.3 104.1 130.4 119.7 100.5 100.0 117.6 132.4 120.9 113.1 125.8 118.4

3

42,611 30,084 46,415

(ha) 28,222 30,521 46,380 81,827 24,436 30,109 36,811 45,635 49,514 18,682 42,119 22,652 15,834 44,184 10,421 31,256 61,195 20,367 58,155 25,566 22,897 85,409 59,851 1,081,996

Peatland

113.1 126.4 131.0

14,197 6,788 12,693

(m /ha) (ha) 126.1 6,268 112.7 9,125 104.4 27,726 114.6 28,034 86.6 15,901 101.9 12,890 132.5 7,090 135.3 6,575 138.2 8,055 90.2 17,047 134.9 7,486 140.3 9,753 135.3 2,268 111.1 21,346 131.4 1,254 123.6 8,280 103.2 30,597 105.9 10,684 122.0 16,309 134.9 4,985 126.4 7,056 114.7 22,710 129.3 13,892 123.3 332,244

3

102.8 106.8 104.4

(m /ha) 104.5 96.3 75.8 89.6 72.5 80.9 104.7 116.1 122.4 60.2 112.5 104.3 115.2 81.9 116.1 100.0 86.2 80.3 97.4 115.1 97.9 102.3 106.5 93.8

3

56,807 36,872 59,107

(ha) 34,489 39,646 74,106 109,861 40,337 42,998 43,901 52,210 57,569 35,729 49,605 32,405 18,102 65,529 11,674 39,536 91,792 31,051 74,464 30,551 29,953 108,119 73,743 1,414,240

Total

Forest and poorly productive forest land Mineral soil

110.5 122.7 125.3

(m3/ha) 122.1 108.9 93.7 108.3 81.0 95.6 128.0 132.9 136.0 75.9 131.5 129.5 132.7 101.6 129.8 118.7 97.5 97.1 116.6 131.7 119.7 112.1 125.0 116.4

132 Appendix 1

Karttula Keitele Kiuruvesi Kuopio Lapinlahti Leppävirta Maaninka Nilsiä Pielavesi Rautalampi Rautavaara Siilinjärvi Sonkajärvi Suonenjoki Tervo Tuusniemi Varkaus Varpaisjärvi Vesanto Vieremä

Pohjois-Karjala Municipality 45 Eno 146 Ilomantsi 167 Joensuu 176 Juuka 248 Kesälahti 260 Kitee 276 Kontiolahti 309 Outokumpu 422 Lieksa

227 239 263 297 402 420 476 534 595 686 687 749 762 778 844 857 915 916 921 925 Total

58,828 137,738 72,038 86,222 24,058 50,393 46,850 26,273 206,433

31,836 28,142 59,569 78,422 33,917 81,459 27,237 44,518 65,382 37,931 57,747 23,117 73,213 47,273 23,879 38,987 26,285 27,377 28,575 47,139 1,000,856

109.6 103.0 127.0 108.5 122.1 132.1 124.5 140.2 103.9

131.0 116.2 99.4 138.6 122.2 148.6 135.5 127.6 118.1 127.3 103.6 124.9 95.9 139.4 125.7 124.9 140.4 118.9 121.7 94.5 122.2

23,146 84,348 28,488 43,429 8,799 19,889 19,839 9,342 86,668

8,337 11,987 40,477 13,072 12,909 14,413 7,540 11,621 29,227 7,035 37,534 4,866 48,175 13,163 5,159 6,729 5,483 11,215 6,323 26,652 354,329

85.3 77.9 84.5 92.8 104.9 95.5 101.6 101.7 80.5

109.4 103.4 89.7 120.0 106.3 125.0 116.5 108.3 103.5 105.8 89.4 109.4 89.5 111.3 106.3 112.7 127.6 104.4 109.3 92.5 101.4

81,974 222,086 100,525 129,651 32,857 70,282 66,689 35,615 293,102

40,174 40,129 100,047 91,494 46,826 95,872 34,778 56,139 94,608 44,966 95,281 27,982 121,388 60,436 29,038 45,716 31,767 38,593 34,898 73,791 1,355,185

102.7 93.5 114.9 103.2 117.5 121.8 117.7 130.1 97.0

126.5 112.4 95.5 135.9 117.8 145.0 131.4 123.6 113.6 124.0 98.0 122.2 93.4 133.3 122.3 123.1 138.1 114.7 119.4 93.8 116.8

59,063 138,032 72,056 86,349 24,075 50,399 46,938 26,280 206,867

31,836 28,166 59,585 78,460 33,933 81,459 27,257 44,547 65,495 37,931 57,823 23,127 73,239 47,273 23,879 39,085 26,285 27,403 28,575 47,139 1,001,605

109.2 102.8 126.9 108.3 122.1 132.1 124.3 140.2 103.7

131.0 116.1 99.4 138.4 122.2 148.6 135.4 127.5 118.0 127.3 103.5 124.8 95.9 139.4 125.7 124.7 140.4 118.8 121.7 94.5 122.1

25,140 99,616 30,305 47,618 9,150 20,572 20,698 9,732 98,205

8,579 12,612 42,710 13,385 13,384 14,707 7,716 12,219 30,623 7,256 42,477 4,968 53,316 13,366 5,268 6,909 5,622 11,785 6,482 28,548 375,611

80.4 68.3 80.7 85.6 102.3 93.1 98.5 98.3 73.2

106.5 99.2 86.0 117.6 103.2 121.5 114.3 103.8 99.5 102.6 80.9 107.5 82.7 108.9 103.6 110.2 124.9 100.2 106.0 87.7 96.5

100.6 88.4 113.3 100.3 116.7 120.8 116.4 128.9 93.9

125.8 110.9 93.8 135.4 116.8 144.4 130.7 122.4 112.1 123.3 93.9 121.8 90.3 132.7 121.7 122.5 137.6 113.2 118.8 91.9 115.1

(continued)

84,203 237,648 102,362 133,967 33,225 70,970 67,636 36,012 305,072

40,415 40,777 102,295 91,845 47,317 96,166 34,972 56,766 96,118 45,187 100,300 28,095 126,555 60,640 29,147 45,994 31,907 39,189 35,057 75,687 1,377,216

Appendix 1 133

9,858 31,834 31,971 9,249 19,089 54,302

Pohjois-Pohjanmaa Municipality 9 Alavieska 69 Haapajärvi 71 Haapavesi 72 Hailuoto 84 Haukipudas 139 Ii

47,126 93,744 40,634 15,532 24,211 45,211 46,447 1,021,739

76,999 80,930 258,362 50,934 131,830 49,315 144,977 286,672 44,580 1,124,602

Liperi Nurmes Polvijärvi Pyhäselkä Rääkkylä Tohmajärvi Valtimo

(ha)

Mineral soil

Kainuu Municipality 105 Hyrynsalmi 205 Kajaani 290 Kuhmo 578 Paltamo 620 Puolanka 697 Ristijärvi 765 Sotkamo 777 Suomussalmi 785 Vaala Total

426 541 607 632 707 848 911 Total

Table 2b (continued)

90.1 101.3 98.8 84.0 87.6 85.6

86.3 85.5 91.6 89.8 79.7 86.8 91.1 79.6 79.0 85.5

124.0 97.5 122.6 121.0 132.7 127.7 85.9 112.1

(m /ha)

3

6,149 25,934 42,868 4,701 11,401 53,507

42,105 66,978 148,267 28,939 69,268 23,422 83,952 136,504 46,615 646,049

9,056 44,333 23,024 5,668 10,031 22,762 21,617 460,439

(ha)

Total

85.4 94.4 95.4 61.4 71.9 73.7

64.7 75.1 70.2 78.1 61.0 71.3 74.7 57.1 68.8 67.5

110.8 80.8 101.1 118.1 122.9 87.4 81.8 87.6

16,007 57,768 74,839 13,950 30,489 107,809

119,104 147,909 406,629 79,873 201,099 72,737 228,929 423,176 91,195 1,770,651

56,182 138,077 63,658 21,200 34,242 67,974 68,064 1,482,179

(m /ha) (ha)

3

Forest land Peatland

88.3 98.2 96.9 76.4 81.7 79.7

78.7 80.8 83.8 85.6 73.2 81.8 85.1 72.4 73.8 78.9

121.9 92.1 114.8 120.2 129.8 114.2 84.6 104.5

(m /ha)

3

9,976 31,896 32,050 9,538 19,292 54,896

77,154 81,238 258,753 51,032 132,162 49,395 145,446 287,754 44,959 1,127,893

47,268 93,902 40,636 15,532 24,227 45,211 46,493 1,023,329

(ha)

Peatland

89.4 101.1 98.7 81.8 86.9 84.9

86.1 85.2 91.5 89.7 79.5 86.7 90.8 79.3 78.3 85.3

123.9 97.4 122.6 121.0 132.6 127.7 85.9 111.9

7,059 29,363 48,778 5,554 14,180 65,712

51,716 79,867 179,619 32,130 91,488 27,096 94,621 184,924 61,913 803,374

9,253 49,316 24,334 5,859 10,533 23,766 23,849 507,947

(m /ha) (ha)

3

76.5 85.2 85.9 54.3 61.0 63.0

55.4 65.6 60.4 71.9 49.7 63.7 67.9 46.3 56.0 57.2

108.9 73.7 97.0 114.9 118.0 84.6 75.1 80.9

(m /ha)

3

17,035 61,259 80,829 15,092 33,472 120,608

128,870 161,105 438,371 83,162 223,649 76,491 240,067 472,678 106,872 1,931,267

56,522 143,218 64,970 21,392 34,760 68,977 70,342 1,531,276

(ha)

Total

Forest and poorly productive forest land Mineral soil

84.0 93.5 91.0 71.7 75.9 73.0

73.8 75.5 78.7 82.8 67.3 78.5 81.8 66.4 65.4 73.6

121.4 89.3 113.0 119.3 128.1 112.8 82.2 101.6

(m3/ha)

134 Appendix 1

208 244 247 255 305 317 425 436 483 494 535 563 564 567 603 615 617 625 626 630 678 682 691 746 748 832 859 889 926 972 973 977 Total

Kalajoki Kempele Kestilä Kiiminki Kuusamo Kärsämäki Liminka Lumijoki Merijärvi Muhos Nivala Oulainen Oulu Oulunsalo Piippola Pudasjärvi Pulkkila Pyhäjoki Pyhäsalmi Pyhäntä Raahe Rantsila Reisjärvi Sievi Siikajoki Taivalkoski Tyrnävä Utajärvi Vihanti Yli-Ii Ylikiiminki Ylivieska

26,385 3,147 16,153 13,260 288,597 24,266 11,946 5,126 10,018 22,560 19,549 24,794 11,163 5,346 14,186 225,773 10,692 22,567 56,357 24,875 19,739 16,538 21,172 31,314 27,983 146,416 9,547 49,450 14,191 24,252 32,502 23,870 1,410,035

76.4 85.6 83.4 95.5 73.0 100.9 77.5 92.6 99.7 78.6 98.0 88.5 99.6 94.8 89.1 72.9 96.3 83.7 91.9 93.2 95.9 85.8 89.2 85.9 90.7 76.2 69.6 82.8 95.1 77.6 92.9 86.2 81.9

20,540 3,902 25,496 10,038 66,650 27,293 24,050 7,822 7,680 25,363 10,799 19,954 8,628 5,306 20,885 143,151 18,224 19,161 47,871 34,777 18,711 33,522 13,091 21,844 40,228 35,816 16,582 57,506 19,041 26,821 34,470 16,635 1,026,416

81.8 72.0 78.8 74.6 49.9 90.7 70.8 73.5 91.8 68.6 96.9 92.2 82.1 72.7 84.7 59.4 90.1 84.6 86.9 77.1 84.0 78.2 85.4 77.5 74.2 54.2 71.6 69.8 80.4 66.5 73.3 87.7 74.2

46,925 7,050 41,649 23,298 355,247 51,559 35,995 12,948 17,698 47,923 30,348 44,748 19,791 10,653 35,071 368,924 28,916 41,729 104,227 59,652 38,450 50,060 34,263 53,158 68,211 182,232 26,129 106,956 33,232 51,073 66,971 40,505 2,436,451

78.7 78.1 80.6 86.5 68.6 95.5 73.0 81.1 96.3 73.3 97.6 90.2 92.0 83.8 86.5 67.7 92.4 84.1 89.6 83.8 90.1 80.7 87.7 82.5 80.9 71.9 70.8 75.8 86.6 71.7 82.8 86.8 78.6

27,348 74.8 3,183 84.6 16,239 83.0 13,354 95.0 290,799 72.7 24,309 100.8 12,053 76.8 5,223 91.0 10,133 98.9 22,666 78.2 19,590 97.9 24,910 88.2 11,294 98.7 5,430 93.6 14,236 88.9 228,205 72.5 10,722 96.1 23,056 82.6 56,737 91.7 25,009 92.9 19,877 95.4 16,623 85.5 21,205 89.0 31,646 85.3 28,250 89.9 149,661 75.7 9,603 69.2 49,743 82.4 14,251 94.8 24,441 77.1 32,668 92.5 23,940 86.0 1,424,052 81.4

23,261 4,971 31,802 12,401 128,248 31,693 31,998 9,057 8,327 33,096 11,792 22,297 9,662 6,690 24,266 207,102 20,201 21,161 53,553 42,689 20,970 41,301 15,984 29,022 48,635 61,035 21,866 77,056 23,030 33,827 43,410 19,210 1,340,261

74.1 59.8 66.2 63.5 33.9 80.4 57.0 65.5 85.9 55.9 90.0 84.2 75.3 60.8 75.0 45.8 82.9 78.2 79.4 65.5 76.6 66.4 72.2 61.5 64.0 39.2 58.0 56.3 69.2 55.9 61.2 77.9 60.5

74.4 69.5 71.9 79.8 60.8 89.2 62.4 74.8 93.1 65.0 94.9 86.3 87.9 75.5 80.2 59.8 87.5 80.5 85.7 75.6 85.7 71.9 81.8 73.9 73.5 65.2 61.4 66.5 79.0 64.8 74.6 82.4 71.3 (continued)

50,609 8,154 48,040 25,755 419,047 56,002 44,051 14,280 18,460 55,762 31,382 47,206 20,956 12,120 38,501 435,307 30,924 44,216 110,290 67,698 40,848 57,924 37,189 60,668 76,885 210,696 31,469 126,800 37,281 58,268 76,077 43,151 2,764,313

Appendix 1 135

Lapland Municipality 47 Enontekiö 148 Inari 240 Kemi 241 Keminmaa 261 Kittilä 273 Kolari 320 Kemijärvi 498 Muonio 583 Pelkosenniemi 614 Posio 683 Ranua 698 Rovaniemi 732 Salla 742 Savukoski 751 Simo 758 Sodankylä 845 Tervola 851 Tornio 854 Pello 890 Utsjoki 976 Ylitornio Total

Table 2b (continued)

89,382 693,174 4,966 25,862 393,766 128,443 198,482 112,820 82,513 163,506 130,798 411,786 303,247 382,285 47,590 581,110 58,526 47,875 98,715 5,961 78,847 4,039,654

(ha)

Mineral soil

55.9 65.3 70.8 75.6 56.3 65.3 61.7 66.7 60.5 67.7 55.9 61.3 63.4 59.3 73.1 55.3 71.0 72.7 61.2 53.4 62.1 61.4

(m /ha)

3

4,951 18,942 1,442 19,260 73,229 45,234 53,878 8,347 38,493 44,067 70,336 148,006 78,670 57,666 42,261 87,037 50,879 34,778 35,929 337 62,476 976,217

(ha)

Total

37.0 36.0 68.5 70.5 43.8 49.9 53.1 46.0 57.0 51.4 51.3 52.2 57.6 51.9 70.2 46.1 65.9 70.6 56.8 62.3 62.4 54.4

94,334 712,116 6,409 45,121 466,995 173,677 252,360 121,167 121,006 207,573 201,135 559,792 381,918 439,951 89,850 668,146 109,404 82,653 134,644 6,297 141,322 5,015,871

(m /ha) (ha)

3

Forest land Peatland

54.9 64.5 70.3 73.4 54.3 61.3 59.9 65.2 59.4 64.2 54.3 58.9 62.2 58.4 71.7 54.1 68.6 71.8 60.0 53.9 62.3 60.0

(m /ha)

3

239,135 992,289 5,045 26,191 417,393 130,325 200,808 122,021 84,194 166,783 132,397 416,328 330,704 415,702 48,127 625,686 58,915 48,279 99,585 109,683 80,388 4,749,978

(ha)

Peatland

33.0 52.3 70.3 75.2 54.6 64.8 61.4 63.9 59.8 67.1 55.3 60.9 60.6 57.7 72.5 53.3 70.8 72.4 60.9 15.3 61.3 55.5

30,122 129,826 1,584 23,221 198,103 89,518 107,848 29,441 71,903 89,917 139,650 252,066 163,181 142,801 64,350 258,250 73,124 45,924 58,233 1,915 93,989 2,064,966

(m /ha) (ha)

3

21.1 23.0 63.7 60.7 26.0 35.9 34.4 24.5 37.6 33.2 32.9 38.3 36.0 31.2 51.6 28.5 51.2 57.1 43.5 21.3 48.5 35.0

(m /ha)

3

269,257 1,122,115 6,629 49,412 615,496 219,843 308,655 151,462 156,097 256,700 272,047 668,394 493,885 558,504 112,478 883,936 132,038 94,204 157,817 111,598 174,377 6,814,945

(ha)

Total

Forest and poorly productive forest land Mineral soil

31.7 48.9 68.7 68.4 45.4 53.1 52.0 56.2 49.6 55.2 43.8 52.3 52.4 50.9 60.5 46.1 59.9 65.0 54.5 15.4 54.4 49.3

(m3/ha)

136 Appendix 1

Rannikko/Etelärannikko Municipality 40 Dragsfjärd 49 Espoo-Esbo 78 Hanko-Hangö 91 HelsinkiHelsingfors

Åland Municipality 35 Brändö 43 Eckerö 60 Finström 62 Föglö 65 Geta 76 Hammarland 170 Jomala 295 Kumlinge 318 Kökar 417 Lemland 438 Lumparland 478 Mariehamn 736 Saltvik 766 Sottunga 771 Sund 941 Vårdö Total

0.7 0.0 0.1 0.6

1.2 0.9 0.2 0.0 0.2 0.3 0.4 0.3 – 0.5 0.2 1.1 0.2 0.2 0.2 0.3 0.4

(%)

103 4 7 36

34 52 13 0 5 19 33 9 – 34 4 5 14 1 13 11 241

(ha)

Open regeneration site

76.7 44.7 71.0 37.6

38.8 73.0 68.4 69.8 76.9 70.4 68.5 60.7 37.9 65.6 72.8 66.2 75.4 59.1 71.7 73.2 68.2

(%)

11,577 6,815 4,863 2,452

1,125 4,025 4,329 4,317 2,556 4,892 5,170 1,956 494 4,169 1,232 304 4,696 517 3,698 2,732 46,216

(ha)

Pine

Table 3a Dominant tree species on forest land (By forestry centres).

15.3 34.7 18.1 30.3

7.4 14.0 16.4 13.7 13.3 15.5 16.7 9.5 8.0 16.9 15.1 13.0 15.3 10.2 15.7 13.1 14.4

(%)

2,306 5,296 1,242 1,980

213 771 1,039 850 441 1,075 1,258 305 104 1,073 255 60 956 89 807 490 9,789

(ha)

Spruce

4.3 15.2 8.0 24.1

15.8 9.3 11.3 9.1 7.7 10.4 10.6 10.9 23.8 11.5 8.1 14.0 6.5 12.9 8.7 7.7 10.1

(%)

650 2,317 546 1,573

460 514 717 562 255 720 803 350 310 732 137 64 405 112 449 288 6,878

(ha)

Birch

3.0 5.4 2.7 7.4

36.9 2.8 3.7 7.5 2.0 3.6 3.8 18.8 30.3 5.4 3.9 5.7 2.6 17.6 3.7 5.6 6.9

(%)

456 824 187 485

1,070 152 233 467 65 247 288 605 395 342 65 26 159 154 190 211 4,669

(ha)

Other deciduous tree species

100.0 100.0 100.0 100.0

15,092 15,256 6,845 6,526

2,901 5,515 6,330 6,196 3,323 6,953 7,551 3,225 1,304 6,350 1,693 459 6,231 874 5,157 3,732 67,794

(ha)

(continued)

Total

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(%)

Appendix 1 137

923 Total

753 755 835

424 434 533 573 585 606 638 701

279 407

243 257

149 150 220 235

92 101

Vantaa-Vanda HoutskärHoutskari Ingå-Inkoo Iniö Karis-Karjaa KauniainenGrankulla Kimito-Kemiö KirkkonummiKyrkslätt Korpo-Korppoo LapinjärviLappträsk Liljendal Loviisa-Lovisa Nagu-Nauvo Pargas-Parainen Pernå-Pernaja Pohja-Pojo Porvoo-Borgå RuotsinpyhtääStrömfors Sipoo-Sibbo Siuntio-Sjundeå EkenäsTammisaari Västanfjärd

Table 3a (continued)

0.4 0.6

0.9 0.5 0.3

0.6 0.2 0.0 0.2 1.1 0.5 0.7 0.8

0.0 0.6

0.3 0.4

1.3 – 1.5 –

0.4 –

(%)

23 2,012

175 60 132

32 6 0 28 276 76 254 124

0 104

57 71

229 – 170 –

45 –

(ha)

Open regeneration site

76.8 54.8

35.7 44.3 67.8

36.9 47.0 76.8 76.3 40.1 66.0 36.5 43.6

82.1 34.9

75.8 50.2

54.9 81.4 52.5 48.8

32.0 84.9

(%)

4,378 200,288

6,995 5,504 29,678

2,122 1,291 9,987 11,102 10,357 9,831 13,288 7,008

6,898 6,015

13,173 9,389

9,541 3,005 5,926 98

3,238 5,756

(ha)

Pine

16.8 33.2

49.8 40.4 24.2

54.2 45.2 11.9 13.1 49.2 23.6 53.0 45.1

11.4 54.5

17.9 32.0

32.2 11.7 31.3 28.9

40.0 10.5

(%)

958 121,564

9,749 5,012 10,602

3,119 1,242 1,549 1,909 12,716 3,514 19,302 7,241

955 9,400

3,107 5,985

5,588 433 3,540 58

4,047 714

(ha)

Spruce

4.5 9.2

11.3 12.2 5.7

7.9 7.1 8.2 8.1 8.7 8.1 8.1 10.2

3.8 9.6

4.5 13.9

11.0 3.2 12.4 18.3

21.4 2.7

(%)

259 33,663

2,218 1,516 2,496

455 196 1,060 1,181 2,238 1,204 2,963 1,634

318 1,652

778 2,608

1,907 119 1,396 37

2,164 180

(ha)

Birch

1.5 2.2

2.3 2.6 2.0

0.5 0.4 3.1 2.3 0.9 1.8 1.7 0.3

2.7 0.4

1.6 3.5

0.6 3.7 2.3 4.0

6.1 1.9

(%)

84 8,136

454 319 860

31 12 409 334 237 273 623 51

229 69

275 660

106 135 262 8

619 132

(ha)

Other deciduous tree species Total

100.0 100.0

100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0

100.0 100.0

100.0 100.0 100.0 100.0

100.0 100.0

(%)

5,701 365,663

19,591 12,412 43,767

5,759 2,747 13,006 14,554 25,824 14,898 36,430 16,058

8,400 17,240

17,390 18,714

17,372 3,692 11,293 201

10,113 6,782

(ha)

138 Appendix 1

Rannikko/Pohjanmaa Municipality 231 Kaskinen-Kaskö 272 KokkolaKarleby 280 Korsnäs 287 KristinestadKristiinankaupunki 288 KronobyKruunupyy 440 Larsmo-Luoto 475 Malax-Maalahti 499 KorsholmMustasaari 545 Närpes-Närpiö 559 OravaisOravainen 598 JakobstadPietarsaari 599 PedersörePedersören kunta 893 NykarlebyUusikaarlepyy 905 Vaasa-Vasa 945 Vörå-MaxmoVöyriMaksamaa Total

3 226

277 289

442

162 623 571

459 295

145

787

1,110

37 598

6,024

0.5 1.1

1.6 0.6

0.9

1.7 1.8 1.1

0.7 2.3

2.6

1.5

2.3

0.4 1.5

1.3

59.3

44.5 51.6

64.0

68.8

57.6

56.7 60.0

66.3 57.5 46.2

71.8

57.2 57.6

49.5 63.0

277,792

4,452 19,990

31,290

37,333

3,199

36,398 7,593

6,450 20,292 24,922

35,056

9,958 27,378

320 13,159

27.7

39.2 33.3

20.3

17.7

21.6

33.8 25.0

19.2 27.7 39.5

16.5

29.3 35.3

35.6 20.6

129,851

3,921 12,924

9,913

9,598

1,201

21,696 3,167

1,869 9,775 21,332

8,055

5,108 16,767

230 4,295

10.6

12.1 11.6

12.8

11.6

16.8

7.9 11.8

11.8 11.7 10.5

10.4

10.8 5.9

9.8 14.4

49,538

1,208 4,510

6,262

6,273

935

5,088 1,492

1,147 4,132 5,689

5,052

1,882 2,795

63 3,009

1.1

3.9 1.9

0.6

0.5

1.3

0.9 0.9

1.0 1.4 2.7

0.4

1.1 0.6

4.6 0.9

5,373

390 755

278

244

74

595 110

100 486 1,436

205

197 279

29 194

100.0

100.0 100.0

100.0

100.0

100.0

100.0 100.0

100.0 100.0 100.0

100.0

100.0 100.0

100.0 100.0

(continued)

468,578

10,008 38,777

48,853

54,234

5,554

64,237 12,657

9,729 35,308 53,950

48,811

17,422 47,508

646 20,883

Appendix 1 139

Lounais-Suomi Municipality 6 Alastaro 17 Askainen 19 Aura 50 Eura 51 Eurajoki 73 Halikko 79 Harjavalta 99 Honkajoki 102 Huittinen 181 Jämijärvi 202 Kaarina 214 Kankaanpää 230 Karvia 252 Kiikala 254 Kiikoinen 259 Kisko 262 Kiukainen 271 Kokemäki 284 Koski Tl 304 Kustavi 308 Kuusjoki 319 Köyliö 400 Laitila 406 Lappi 413 Lavia

Table 3a (continued)

1.9 0.4 1.2 1.1 1.4 0.3 1.9 1.3 1.6 2.3 0.7 1.5 1.5 1.3 1.6 0.9 1.2 1.7 1.8 0.3 0.9 2.1 0.9 1.1 1.8

(%)

229 11 46 313 311 50 133 283 319 292 15 665 474 189 151 147 82 484 143 26 43 308 291 150 418

(ha)

Open regeneration site

53.4 74.2 58.2 60.4 58.6 64.5 59.5 81.5 45.3 64.4 70.9 70.5 82.9 56.7 53.4 58.1 53.8 58.8 42.7 77.6 51.3 61.4 65.7 65.9 58.4

(%)

Pine

6,376 2,093 2,300 17,122 12,661 11,568 4,240 17,356 8,968 8,157 1,512 32,218 26,595 7,955 4,898 9,818 3,652 16,933 3,399 7,041 2,396 9,040 21,287 8,819 13,454

(ha)

37.6 16.0 34.4 31.0 31.2 28.3 31.3 9.0 45.2 24.6 20.6 20.2 9.0 35.2 36.2 33.9 35.5 32.0 48.8 11.9 41.9 29.9 26.8 26.2 30.7

(%)

Spruce

4,491 452 1,361 8,786 6,734 5,079 2,230 1,916 8,955 3,110 439 9,226 2,899 4,946 3,319 5,733 2,411 9,202 3,884 1,083 1,954 4,406 8,681 3,509 7,083

(ha)

6.3 8.2 5.5 7.0 8.0 5.3 7.1 8.0 7.5 8.1 6.7 7.4 6.4 5.7 8.3 6.1 8.9 7.2 5.7 7.7 4.7 6.3 6.2 6.2 8.4

(%)

Birch

750 230 217 1,997 1,728 957 504 1,697 1,487 1,021 143 3,403 2,059 803 759 1,026 604 2,064 456 695 220 929 2,009 831 1,930

(ha)

0.7 1.2 0.8 0.4 0.8 1.5 0.2 0.2 0.4 0.6 1.1 0.4 0.2 1.0 0.6 1.0 0.7 0.3 0.9 2.5 1.2 0.3 0.5 0.5 0.7

(%)

83 35 32 121 180 277 17 34 88 80 23 181 60 143 52 175 44 91 72 231 55 45 151 68 151

(ha)

Other deciduous tree species Total

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(%)

11,929 2,821 3,955 28,339 21,612 17,931 7,124 21,286 19,817 12,659 2,133 45,693 32,087 14,036 9,179 16,899 6,792 28,774 7,954 9,075 4,667 14,728 32,419 13,377 23,035

(ha)

140 Appendix 1

419 423 430 442 480 481 482 484 485 501 503 529 531 537 538 561 577 586 587 602 608 609 631 636 680 684 704 705 734 738 747

Lemu Lieto Loimaa Luvia Marttila Masku Mellilä Merikarvia Merimasku Muurla Mynämäki Naantali Nakkila Noormarkku Nousiainen Oripää Paimio Perniö Pertteli Piikkiö Pomarkku Pori Pyhäranta Pöytyä Raisio Rauma Rusko Rymättylä Salo Sauvo Siikainen

1.1 0.8 1.5 1.5 1.2 1.0 1.8 1.9 0.1 0.8 1.4 0.4 2.1 1.7 1.4 1.6 0.4 0.7 0.8 0.5 1.3 1.9 0.6 1.3 1.0 0.7 1.0 0.3 0.7 0.8 1.9

20 69 272 174 114 42 63 614 4 33 428 10 187 412 150 87 50 161 53 18 291 547 59 266 18 123 22 18 54 101 628

73.3 64.9 44.0 46.2 53.9 68.8 48.9 63.1 78.2 60.9 63.7 76.6 48.8 52.4 62.2 64.5 69.5 63.0 57.8 70.2 51.8 48.9 66.4 57.0 71.4 67.4 68.4 79.6 60.9 72.1 65.1

1,316 5,743 7,838 5,491 4,905 2,932 1,743 20,474 2,077 2,529 19,915 1,815 4,257 12,790 6,707 3,586 7,743 14,569 3,828 2,677 11,772 13,785 6,360 11,697 1,322 12,075 1,547 5,704 4,508 8,611 22,082

17.5 29.5 47.3 43.0 38.3 24.5 42.6 27.7 13.3 31.6 28.0 16.0 39.5 37.1 31.2 27.2 24.5 30.5 34.8 23.7 39.2 39.2 24.8 35.3 20.7 24.3 25.7 13.1 30.9 21.1 24.8

314 2,611 8,417 5,111 3,482 1,044 1,519 9,000 352 1,315 8,752 378 3,444 9,055 3,364 1,513 2,735 7,049 2,304 902 8,901 11,059 2,372 7,253 384 4,358 580 936 2,284 2,523 8,409

7.6 4.3 6.4 8.6 5.6 5.1 6.1 6.8 6.4 5.8 6.5 5.8 9.0 8.5 4.9 6.2 4.7 5.1 5.6 4.9 7.3 9.4 6.8 5.6 6.0 6.5 4.4 5.3 6.5 5.1 7.6

137 380 1,140 1,018 511 219 219 2,221 169 240 2,035 137 784 2,077 533 345 519 1,173 372 186 1,656 2,663 655 1,149 111 1,165 100 377 484 604 2,586

0.5 0.5 0.8 0.8 1.0 0.7 0.7 0.4 2.0 1.0 0.4 1.3 0.7 0.4 0.3 0.5 0.9 0.7 1.0 0.8 0.4 0.6 1.4 0.8 0.9 1.0 0.6 1.8 1.0 0.9 0.7

9 46 143 89 87 28 24 135 54 40 112 30 57 87 29 26 98 164 68 29 86 164 137 161 16 182 13 128 73 108 224

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 (continued)

1,796 8,849 17,811 11,884 9,100 4,264 3,567 32,445 2,657 4,156 31,242 2,371 8,730 24,421 10,782 5,558 11,144 23,117 6,626 3,813 22,706 28,219 9,582 20,526 1,852 17,904 2,262 7,163 7,403 11,946 33,928

Appendix 1 141

Somero Suomusjärvi Säkylä Särkisalo-Finby Taivassalo Tarvasjoki Turku-Åbo Ulvila Uusikaupunki Vahto Vampula Vehmaa Velkua Yläne

Häme-Uusimaa Municipality 15 Artjärvi 16 Asikkala 18 Askola 61 Forssa 81 Hartola 82 Hattula 83 Hauho 86 Hausjärvi 98 Hollola 103 Humppila

761 776 783 784 833 838 853 886 895 906 913 918 920 979 Total

Table 3a (continued)

0.2 0.4 1.3 0.9 0.2 1.4 1.5 1.3 1.1 1.3

1.2 1.4 1.9 0.4 0.3 0.9 1.0 2.0 1.3 1.3 1.7 0.8 0.2 1.2 1.3

(%)

14 157 164 129 109 356 371 255 328 91

382 155 179 23 17 40 87 545 376 55 114 72 3 280 12,984

(ha)

Open regeneration site

39.6 32.6 32.8 39.0 34.0 42.8 28.5 34.5 31.6 43.4

46.3 55.9 64.5 64.3 77.9 56.0 69.7 54.9 75.0 60.9 46.1 75.6 81.9 63.3 61.7

(%)

3,746 14,023 3,985 5,360 14,952 10,826 7,013 6,922 9,395 3,117

15,374 6,104 6,222 3,415 4,843 2,438 6,132 15,021 21,297 2,544 3,102 6,931 1,379 15,039 602,098

(ha)

Pine

48.7 50.5 56.2 53.0 47.9 44.6 59.1 54.6 54.1 46.7

44.0 34.3 28.4 29.0 13.5 36.5 21.4 34.0 16.8 32.0 44.6 16.9 9.9 29.7 29.5

(%)

4,603 21,708 6,836 7,286 21,029 11,302 14,537 10,950 16,061 3,355

14,581 3,752 2,742 1,540 842 1,591 1,886 9,304 4,768 1,338 3,004 1,548 166 7,048 287,718

(ha)

Spruce

9.6 14.1 8.3 7.0 15.1 10.8 8.3 8.3 10.8 8.7

7.2 7.1 4.9 4.9 6.9 5.5 6.9 8.7 6.2 5.4 7.1 6.2 5.4 5.5 6.8

(%)

910 6,054 1,011 966 6,657 2,730 2,029 1,671 3,218 622

2,397 778 472 259 427 239 608 2,373 1,773 225 476 568 92 1,317 66,492

(ha)

Birch

1.9 2.5 1.4 0.1 2.7 0.4 2.6 1.3 2.4 –

1.3 1.3 0.3 1.4 1.4 1.1 1.0 0.4 0.7 0.3 0.5 0.5 2.7 0.3 0.7

(%)

181 1,059 164 11 1,195 107 627 269 712 –

440 137 30 76 87 50 90 121 197 14 37 48 45 79 6,586

(ha)

Other deciduous tree species Total

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(%)

9,454 43,000 12,160 13,752 43,942 25,321 24,577 20,066 29,714 7,185

33,174 10,927 9,646 5,314 6,217 4,357 8,802 27,364 28,411 4,177 6,733 9,167 1,684 23,763 975,878

(ha)

142 Appendix 1

543 560 576 611 616 692 694 737 781

505 532 540

106 109 111 165 169 186 210 223 224 245 283 316 398 401 433 444 504

Hyvinkää Hämeenlinna Heinola Janakkala Jokioinen Järvenpää Kalvola Karjalohja Karkkila Kerava Hämeenkoski Kärkölä Lahti Lammi Loppi Lohja-Lojo MyrskyläMörskom Mäntsälä Nastola NummiPusula Nurmijärvi Orimattila Padasjoki Pornainen Pukkila Renko Riihimäki Sammatti Sysmä

0.3 0.7 0.5 1.6 1.2 0.6 1.0 2.2 0.4

1.2 0.7 0.9

1.0 1.1 0.2 1.6 1.3 1.5 1.0 2.0 0.5 0.4 1.2 1.1 0.2 1.3 0.8 0.8 0.7

47 235 241 137 90 109 64 101 205

395 151 270

189 122 116 552 104 23 230 155 88 6 145 150 19 496 334 125 88

35.8 38.9 34.6 30.6 32.1 44.0 33.3 52.3 34.6

31.4 43.2 49.3

39.7 34.9 49.9 32.0 40.6 25.7 43.0 54.0 43.0 28.7 25.4 30.9 31.9 28.7 41.5 44.8 35.8

6,378 13,545 15,381 2,610 2,396 8,311 2,237 2,339 18,057

10,475 9,787 14,567

7,721 3,751 28,365 10,747 3,258 384 9,593 4,111 6,972 419 3,024 4,198 2,529 11,264 17,227 7,250 4,428

47.3 47.5 53.4 54.5 52.8 48.2 54.3 31.1 47.5

58.4 38.8 38.2

48.9 49.1 37.7 55.4 50.7 53.8 46.8 31.6 47.3 50.2 62.3 56.7 46.2 59.6 49.5 37.2 52.1

8,430 16,538 23,729 4,645 3,942 9,094 3,647 1,391 24,817

19,455 8,803 11,300

9,516 5,266 21,411 18,597 4,067 805 10,438 2,405 7,663 732 7,432 7,718 3,657 23,398 20,574 6,014 6,443

13.5 10.5 10.2 11.7 12.2 7.0 9.9 12.8 15.0

8.0 13.9 10.8

8.9 12.6 10.8 9.6 7.1 15.5 9.2 10.7 8.4 17.9 9.2 9.7 15.4 8.8 7.8 13.5 10.0

2,415 3,645 4,542 997 913 1,325 664 574 7,825

2,678 3,158 3,202

1,735 1,347 6,169 3,232 569 232 2,050 814 1,362 261 1,093 1,321 1,219 3,465 3,251 2,188 1,239

3.2 2.4 1.2 1.6 1.6 0.2 1.6 1.6 2.5

1.0 3.4 0.7

1.4 2.3 1.4 1.4 0.3 3.5 0.0 1.7 0.7 2.8 2.0 1.6 6.3 1.6 0.4 3.7 1.4

566 840 527 133 122 40 108 71 1,330

330 774 220

280 246 801 465 24 52 7 127 119 42 233 219 498 622 173 607 168

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

17,836 34,803 44,419 8,523 7,463 18,879 6,719 4,475 52,235

33,332 22,673 29,559

19,441 10,732 56,862 33,594 8,022 1,497 22,318 7,612 16,205 1,459 11,927 13,607 7,922 39,244 41,559 16,183 12,366

Appendix 1 143

Tammela Tuulos Tuusula Vihti Ypäjä

Kaakkois-Suomi Municipality 44 Elimäki 75 Hamina 142 Iitti 153 Imatra 163 Jaala 173 Joutseno 285 Kotka 286 Kouvola 306 Kuusankoski 405 Lappeenranta 416 Lemi 441 Luumäki 489 Miehikkälä 580 Parikkala 624 Pyhtää-Pyttis 689 Rautjärvi 700 Ruokolahti 739 Savitaipale

834 855 858 927 981 Total

Table 3a (continued)

1.3 1.1 1.0 1.6 0.5 1.6 1.2 1.4 0.9 1.2 0.9 0.8 0.9 1.4 1.0 1.4 1.0 0.4

0.5 1.8 0.8 0.2 0.8 0.8

(%)

243 485 404 156 169 315 217 30 61 638 144 471 287 597 204 381 756 175

215 214 88 61 62 7,601

(ha)

Open regeneration site

38.5 61.6 45.7 43.8 63.2 45.2 54.8 48.4 49.8 54.5 52.6 63.1 65.7 48.3 50.6 47.7 60.3 66.9

47.7 27.5 29.9 42.8 43.8 37.9

(%)

Pine

7,483 26,956 18,049 4,186 21,994 9,104 9,827 1,027 3,408 29,246 8,327 37,097 20,897 20,300 10,297 13,365 47,503 27,994

20,892 3,299 3,157 13,713 3,473 355,195

(ha)

50.6 32.0 42.9 39.2 26.5 38.7 33.3 35.4 36.5 36.2 34.5 30.8 29.0 33.9 39.0 36.0 27.8 24.0

44.1 60.2 52.7 42.3 47.0 49.0

(%)

9,844 13,999 16,920 3,746 9,211 7,788 5,966 750 2,496 19,453 5,456 18,110 9,230 14,269 7,924 10,073 21,938 10,051

19,314 7,221 5,563 13,549 3,726 458,965

(ha)

Spruce

8.9 5.0 9.4 13.6 8.6 12.8 9.6 13.4 11.7 7.2 10.4 4.9 4.1 14.8 8.6 13.2 10.0 7.6

7.7 8.9 13.6 11.6 8.0 10.6

(%)

1,730 2,177 3,721 1,297 3,007 2,578 1,718 285 804 3,884 1,650 2,861 1,288 6,241 1,745 3,707 7,885 3,158

3,356 1,070 1,430 3,710 635 99,555

(ha)

Birch

0.7 0.3 0.9 1.9 1.1 1.8 1.1 1.4 1.1 0.9 1.6 0.4 0.3 1.5 0.8 1.7 0.9 1.1

– 1.6 3.0 3.0 0.4 1.7

(%)

140 153 367 180 395 362 203 29 77 487 248 226 84 626 160 478 703 441

– 193 316 976 29 15,583

(ha)

Other deciduous tree species Total

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0

(%)

19,440 43,769 39,462 9,564 34,776 20,147 17,930 2,121 6,847 53,707 15,824 58,765 31,786 42,033 20,329 28,004 78,786 41,818

43,777 11,998 10,554 32,009 7,925 936,899

(ha)

144 Appendix 1

Anjalankoski Suomenniemi Taipalsaari Valkeala Virolahti Ylämaa

Pirkanmaa Municipality 20 Akaa 108 Hämeenkyrö 143 Ikaalinen 177 Juupajoki 211 Kangasala 250 Kihniö 289 Kuhmalahti 303 Kuru 310 Kylmäkoski 418 Lempäälä 493 Mouhijärvi 506 Mänttä 536 Nokia 562 Orivesi 581 Parkano 604 Pirkkala 619 Punkalaidun 635 Pälkäne 702 Ruovesi 837 Tampere 887 Urjala 908 Valkeakoski

754 775 831 909 935 978 Total

1.4 0.9 1.4 1.3 1.0 0.7 0.9 0.8 1.2 0.9 1.0 0.6 0.9 1.0 1.2 1.0 1.5 0.6 1.0 0.9 1.0 1.0

1.0 0.9 0.9 0.7 1.4 1.0 1.0

78 271 799 252 356 195 121 501 136 174 178 26 195 651 741 55 288 240 608 337 318 166

461 224 237 447 383 303 7,787

40.8 42.0 58.8 46.1 42.6 80.1 38.4 64.7 45.3 36.0 47.6 43.2 43.1 44.2 77.1 36.1 43.4 35.8 51.9 41.5 44.2 35.9

58.6 74.4 60.7 63.8 67.6 66.0 58.4

2,245 13,339 32,706 9,277 14,971 21,574 4,983 38,371 5,272 6,811 8,460 1,996 8,926 27,456 48,721 1,973 8,199 15,004 32,185 15,440 13,755 6,277

28,178 18,046 16,758 40,551 17,858 20,081 458,531

44.2 44.7 31.8 43.9 44.0 13.2 48.9 29.1 44.5 51.7 42.4 43.8 45.6 46.2 16.2 49.6 49.3 51.7 40.7 47.5 45.2 48.9

34.7 17.0 25.1 29.1 26.0 28.5 31.7

2,432 14,191 17,716 8,840 15,483 3,562 6,348 17,267 5,183 9,778 7,540 2,020 9,444 28,697 10,245 2,712 9,322 21,688 25,206 17,664 14,057 8,538

16,661 4,132 6,932 18,461 6,865 8,681 248,955

12.6 11.9 7.6 8.2 11.5 5.8 10.8 5.2 8.3 10.7 8.6 11.9 9.9 8.1 5.3 12.5 5.3 10.9 6.2 9.6 8.8 13.0

5.3 6.9 11.9 5.8 4.6 4.3 8.1

693 3,768 4,250 1,659 4,048 1,575 1,403 3,086 968 2,014 1,531 550 2,048 5,046 3,363 682 993 4,574 3,814 3,569 2,743 2,275

2,566 1,664 3,286 3,715 1,207 1,298 63,471

0.9 0.7 0.3 0.4 0.9 0.2 0.9 0.1 0.7 0.7 0.4 0.6 0.5 0.5 0.2 0.8 0.6 1.1 0.3 0.5 0.7 1.2

0.4 0.8 1.5 0.5 0.4 0.3 0.8

51 208 179 90 308 43 115 83 78 125 78 26 112 329 107 43 110 453 189 178 226 212

193 188 408 344 96 78 6,666

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

5,498 31,776 55,650 20,120 35,165 26,950 12,971 59,309 11,637 18,902 17,786 4,617 20,725 62,179 63,177 5,466 18,914 41,958 62,002 37,188 31,101 17,468

48,060 24,254 27,621 63,518 26,409 30,442 785,412

Appendix 1 145

Vammala Vesilahti Vilppula Virrat Ylöjärvi Äetsä

Etelä-Savo Municipality 46 Enonkoski 90 Heinävesi 97 Hirvensalmi 171 Joroinen 178 Juva 213 Kangasniemi 246 Kerimäki 491 Mikkeli 507 Mäntyharju 588 Pertunmaa 593 Pieksämäki 618 Punkaharju 623 Puumala 681 Rantasalmi 696 Ristiina 740 Savonlinna 741 Savonranta 768 Sulkava Total

912 922 933 936 980 988 Total

Table 3a (continued)

1.8 1.1 1.1 1.6 1.6 1.8 1.8 1.6 1.5 1.2 1.6 1.9 0.9 1.8 1.3 1.3 1.8 1.6 1.5

1.2 1.3 1.1 1.1 1.1 1.7 1.1

(%)

515 1,045 451 722 1,573 1,665 870 2,208 1,242 392 2,196 825 670 844 645 887 616 824 18,189

665 275 410 976 329 275 9,617

(ha)

Open regeneration site

45.5 44.3 50.9 47.5 51.5 52.6 52.1 48.2 60.5 40.3 55.3 54.6 73.3 45.1 56.6 56.4 45.4 59.4 52.9

49.5 40.1 49.3 71.3 43.8 54.6 52.6

(%)

13,000 41,999 20,437 21,843 50,822 48,031 25,791 68,336 51,189 12,881 74,001 23,506 52,039 20,836 27,468 39,859 15,757 30,175 637,969

27,858 8,602 18,749 65,068 12,748 8,814 479,783

(ha)

Pine

36.6 42.5 30.6 39.4 35.0 33.3 30.2 33.9 24.3 37.9 32.1 30.2 14.8 36.4 27.4 26.9 38.0 26.9 31.9

40.7 50.9 40.9 22.0 44.0 36.2 37.9

(%)

10,449 40,357 12,280 18,130 34,597 30,391 14,960 47,996 20,601 12,122 42,934 13,016 10,544 16,826 13,315 18,975 13,205 13,662 384,359

22,892 10,907 15,571 20,069 12,792 5,839 346,005

(ha)

Spruce

14.8 10.9 15.7 10.5 11.0 11.3 14.7 14.8 12.4 19.6 10.4 12.1 10.3 15.0 13.4 14.1 13.7 11.1 12.6

8.2 7.2 8.3 5.4 10.6 7.2 8.0

(%)

4,230 10,341 6,319 4,818 10,823 10,342 7,284 21,026 10,454 6,257 13,889 5,214 7,281 6,923 6,498 9,984 4,765 5,631 152,078

4,615 1,547 3,153 4,908 3,073 1,170 73,119

(ha)

Birch

1.3 1.2 1.6 1.0 0.9 1.0 1.2 1.6 1.4 0.9 0.6 1.2 0.7 1.6 1.3 1.3 1.1 1.0 1.1

0.4 0.5 0.4 0.2 0.5 0.3 0.5

(%)

362 1,109 635 459 937 909 590 2,204 1,147 302 859 504 502 749 620 937 368 485 13,677

238 104 153 227 150 50 4,264

(ha)

Other deciduous tree species (%)

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0

28,556 94,851 40,121 45,972 98,751 91,338 49,494 141,769 84,632 31,954 133,880 43,065 71,036 46,178 48,545 70,641 34,710 50,778 1,206,273

56,268 21,435 38,037 91,247 29,092 16,149 912,787

(ha)

Total

146 Appendix 1

Etelä-Pohjanmaa Municipality 4 Alahärmä 5 Alajärvi 10 Alavus 52 Evijärvi 74 Halsua 95 Himanka 145 Ilmajoki 151 Isojoki 152 Isokyrö 164 Jalasjärvi 175 Jurva 217 Kannus 218 Karijoki 232 Kauhajoki 233 Kauhava 236 Kaustinen 281 Kortesjärvi 300 Kuortane 301 Kurikka 315 Kälviä 399 Laihia 403 Lappajärvi 408 Lapua 414 Lehtimäki 421 Lestijärvi 429 Lohtaja 544 Nurmo 584 Perho

2.1 1.1 1.2 1.4 0.4 0.6 2.3 0.7 2.1 1.3 1.2 0.7 1.3 1.2 1.5 0.7 1.6 1.3 2.6 0.6 1.7 1.2 1.3 1.1 0.9 1.3 1.8 0.2

395 566 627 346 116 98 815 323 401 656 372 202 155 1,013 429 174 349 412 699 290 543 345 535 190 299 374 425 103

81.0 85.5 85.1 79.2 89.7 76.3 65.8 72.0 65.4 81.4 64.5 78.1 69.5 83.8 81.5 84.0 82.7 82.6 73.6 79.4 59.5 79.8 76.3 84.4 84.7 79.4 79.1 92.0

15,292 43,485 45,262 19,613 24,758 12,694 22,927 33,690 12,456 41,127 20,138 22,097 8,408 69,259 23,225 19,481 18,375 26,092 20,080 35,793 19,393 22,957 32,625 15,255 28,131 22,945 18,340 48,742

10.0 7.4 8.7 12.5 4.4 12.0 27.2 20.3 23.6 12.4 27.7 8.9 22.8 11.0 10.8 7.1 9.5 12.1 19.8 10.4 28.2 11.0 15.8 8.6 8.3 10.1 14.0 4.5

1,883 3,766 4,613 3,108 1,226 1,995 9,487 9,485 4,492 6,253 8,654 2,518 2,763 9,108 3,080 1,637 2,119 3,830 5,400 4,678 9,200 3,177 6,768 1,560 2,757 2,919 3,236 2,371

6.4 5.9 4.9 6.6 4.8 10.5 4.5 6.9 8.1 4.8 6.2 11.7 6.2 3.8 6.0 8.0 5.9 3.9 3.9 9.1 9.9 7.8 6.3 5.9 5.6 8.7 4.9 2.8

1,204 2,996 2,599 1,627 1,319 1,750 1,583 3,208 1,540 2,415 1,923 3,320 748 3,157 1,705 1,855 1,310 1,231 1,073 4,116 3,227 2,246 2,692 1,061 1,859 2,518 1,142 1,503

0.5 0.1 0.1 0.3 0.7 0.7 0.1 0.1 0.9 0.2 0.4 0.6 0.2 0.1 0.2 0.2 0.2 0.1 0.1 0.5 0.7 0.2 0.3 0.0 0.5 0.5 0.2 0.5

94 35 67 82 196 108 47 66 172 78 134 157 24 107 62 53 53 22 28 208 233 45 136 4 157 148 43 279

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

18,868 50,848 53,169 24,776 27,614 16,645 34,858 46,773 19,061 50,529 31,221 28,294 12,098 82,645 28,501 23,201 22,206 31,586 27,280 45,085 32,596 28,770 42,756 18,070 33,203 28,904 23,187 52,997

Appendix 1 147

Seinäjoki Soini Teuva Toholampi Töysä Ullava Veteli Vimpeli Vähäkyrö Ylihärmä Ylistaro Ähtäri

Keski-Suomi Municipality 77 Hankasalmi 172 Joutsa 179 Jyväskylä 180 Jyväskylän mlk 182 Jämsä 183 Jämsänkoski 216 Kannonkoski 226 Karstula 249 Keuruu 256 Kinnula 265 Kivijärvi

743 759 846 849 863 885 924 934 942 971 975 989 Total

Table 3a (continued)

2.0 1.3 1.2 1.9 1.5 1.7 1.7 1.2 1.7 1.7 1.8

1.6 1.0 1.4 0.7 1.4 0.6 1.0 1.2 1.8 1.8 2.5 1.2 1.2

(%)

913 511 82 660 1,404 569 662 862 1,854 637 723

561 402 486 263 294 70 312 235 159 125 697 748 15,604

(ha)

Open regeneration site

41.9 36.8 43.0 45.7 47.2 52.9 67.9 75.7 66.7 75.5 74.0

82.6 83.1 69.7 80.5 83.3 83.6 82.0 82.5 46.2 72.5 68.9 79.3 79.1

(%)

19,321 14,970 3,038 16,243 45,205 18,019 26,507 53,589 71,648 28,563 30,553

28,662 33,726 25,024 29,069 17,765 8,983 26,893 15,577 4,111 4,948 19,152 50,777 1,007,330

(ha)

Pine

44.6 46.8 43.0 41.8 42.3 36.6 23.9 16.9 25.6 15.6 18.8

9.3 10.1 24.0 10.0 11.8 7.9 9.8 9.0 33.4 16.8 22.3 14.7 13.3

(%)

20,562 19,055 3,039 14,834 40,520 12,445 9,348 11,942 27,486 5,886 7,739

3,237 4,115 8,608 3,615 2,515 852 3,210 1,700 2,975 1,148 6,198 9,408 169,662

(ha)

Spruce

10.5 13.4 11.2 9.6 8.5 8.3 6.1 6.0 5.8 6.9 5.1

6.3 5.7 4.8 8.0 3.4 7.2 6.8 7.0 15.3 8.1 6.1 4.6 6.1

(%)

4,843 5,446 791 3,417 8,149 2,820 2,398 4,257 6,268 2,604 2,122

2,176 2,303 1,712 2,893 731 769 2,231 1,324 1,357 555 1,702 2,934 77,616

(ha)

Birch

1.1 1.7 1.6 1.0 0.6 0.5 0.4 0.2 0.2 0.4 0.3

0.2 0.1 0.1 0.8 0.0 0.6 0.4 0.2 3.3 0.7 0.2 0.2 0.3

(%)

493 703 111 357 555 185 142 155 191 153 129

58 24 48 291 9 65 144 34 296 45 56 127 4,035

(ha)

Other deciduous tree species (%)

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

46,133 40,684 7,060 35,511 95,834 34,037 39,056 70,804 107,448 37,842 41,265

34,695 40,570 35,878 36,130 21,314 10,740 32,791 18,871 8,897 6,822 27,805 63,995 1,274,246

(ha)

Total

148 Appendix 1

Konnevesi Korpilahti Kuhmoinen Kyyjärvi Laukaa Leivonmäki Luhanka Multia Muurame Petäjävesi Pihtipudas Pylkönmäki Saarijärvi Toivakka Uurainen Viitasaari Äänekoski

Pohjois-Savo Municipality 140 Iisalmi 174 Juankoski 204 Kaavi 227 Karttula 239 Keitele 263 Kiuruvesi 297 Kuopio 402 Lapinlahti 420 Leppävirta 476 Maaninka

275 277 291 312 410 415 435 495 500 592 601 633 729 850 892 931 992 Total

2.4 2.0 1.5 1.5 1.7 1.2 1.5 1.8 1.3 1.6

2.3 1.7 1.3 1.2 2.4 2.1 1.5 2.0 1.7 2.0 1.2 2.0 1.8 2.1 2.3 1.7 2.0 1.7

1,351 715 870 600 696 1,242 1,397 850 1,201 547

982 868 719 393 1,178 660 277 1,258 192 777 1,061 612 1,337 624 688 1,812 1,426 23,740

47.2 42.3 50.3 42.2 57.3 60.7 37.0 46.8 37.6 39.9

45.9 44.2 47.0 82.8 46.5 51.9 41.8 70.4 42.5 54.4 70.3 72.0 60.3 47.3 57.5 57.7 55.8 58.0

26,572 15,470 29,400 16,954 22,990 60,685 33,846 21,898 36,035 13,873

20,038 22,943 26,749 26,494 22,927 16,414 7,524 44,769 4,931 21,278 62,180 21,551 44,400 14,369 16,988 61,574 40,708 803,494

35.9 43.1 39.0 42.2 30.9 23.8 47.5 38.1 47.8 45.8

41.3 43.1 43.4 11.1 40.7 37.5 42.7 21.3 44.0 34.8 21.3 19.4 29.6 39.8 32.5 31.1 33.8 31.7

20,224 15,743 22,786 16,950 12,386 23,809 43,498 17,861 45,867 15,931

18,046 22,349 24,708 3,539 20,068 11,861 7,690 13,510 5,115 13,609 18,792 5,795 21,775 12,084 9,590 33,227 24,698 439,309

13.5 11.4 8.1 12.7 9.5 13.6 12.2 12.2 11.7 11.5

9.7 10.2 7.6 4.7 9.5 7.8 12.5 6.2 10.7 8.4 6.6 6.5 7.9 9.8 7.3 8.9 7.9 8.0

7,607 4,154 4,741 5,097 3,815 13,586 11,188 5,710 11,226 4,001

4,229 5,274 4,315 1,509 4,679 2,476 2,256 3,915 1,246 3,269 5,867 1,936 5,845 2,967 2,149 9,503 5,754 110,301

1.0 1.3 1.0 1.4 0.6 0.7 1.7 1.1 1.6 1.2

0.8 0.9 0.7 0.3 0.9 0.7 1.3 0.2 1.1 0.5 0.6 0.1 0.4 1.1 0.4 0.6 0.6 0.6

558 471 602 573 242 725 1,566 506 1,543 426

362 445 411 81 457 217 243 115 130 189 488 42 272 321 126 684 431 8,188

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

56,313 36,552 58,399 40,174 40,129 100,047 91,494 46,826 95,872 34,778

43,657 51,878 56,902 32,016 49,309 31,627 17,989 63,567 11,614 39,121 88,388 29,935 73,629 30,365 29,541 106,801 73,017 1,385,031

Appendix 1 149

Nilsiä Pielavesi Rautalampi Rautavaara Siilinjärvi Sonkajärvi Suonenjoki Tervo Tuusniemi Varkaus Varpaisjärvi Vesanto Vieremä

Pohjois-Karjala Municipality 45 Eno 146 Ilomantsi 167 Joensuu 176 Juuka 248 Kesälahti 260 Kitee 276 Kontiolahti 309 Outokumpu 422 Lieksa

534 595 686 687 749 762 778 844 857 915 916 921 925 Total

Table 3a (continued)

1.8 0.3 1.3 1.0 1.4 1.8 1.1 0.5 0.8

2.0 1.7 2.1 2.2 2.1 2.4 2.2 1.7 1.6 2.6 2.2 1.8 1.8 1.8

(%)

1,482 641 1,290 1,288 444 1,282 702 183 2,417

1,105 1,577 949 2,092 588 2,872 1,324 488 736 826 852 629 1,312 24,817

(ha)

Open regeneration site

58.4 79.3 56.7 66.9 69.4 53.0 62.6 55.1 76.2

42.6 52.5 45.7 65.7 36.1 64.6 44.8 43.9 39.0 44.0 48.3 49.7 63.0 50.0

(%)

47,843 176,127 56,959 86,708 22,797 37,253 41,758 19,636 223,367

23,941 49,632 20,564 62,630 10,102 78,477 27,063 12,755 17,837 13,982 18,630 17,336 46,495 677,166

(ha)

Pine

27.2 12.6 30.8 22.9 20.7 30.9 23.0 27.6 15.0

42.0 33.9 38.7 22.4 46.4 22.2 42.0 41.3 45.6 40.4 36.4 37.2 22.6 35.7

(%)

22,272 28,017 30,969 29,651 6,798 21,752 15,363 9,813 44,110

23,560 32,102 17,406 21,342 12,976 27,007 25,360 11,992 20,843 12,840 14,059 12,971 16,669 484,183

(ha)

Spruce

11.8 7.0 10.8 8.7 7.9 13.5 12.6 13.3 7.3

12.2 11.0 12.3 9.2 13.8 10.3 10.1 12.0 12.0 11.7 12.0 10.5 12.2 11.4

(%)

9,685 15,506 10,828 11,326 2,587 9,493 8,412 4,740 21,408

6,843 10,389 5,518 8,732 3,870 12,503 6,127 3,474 5,478 3,712 4,626 3,678 9,013 155,086

(ha)

Birch

0.8 0.8 0.5 0.5 0.7 0.7 0.7 3.5 0.6

1.2 1.0 1.2 0.5 1.6 0.4 0.9 1.1 1.8 1.3 1.1 0.8 0.4 1.0

(%)

691 1,795 479 677 231 503 455 1,243 1,799

690 908 529 487 445 529 563 329 822 407 426 285 302 13,932

(ha)

Other deciduous tree species

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

81,974 222,086 100,525 129,651 32,857 70,282 66,689 35,615 293,102

56,139 94,608 44,966 95,281 27,982 121,388 60,436 29,038 45,716 31,767 38,593 34,898 73,791 1,355,185

(ha)

Total

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(%)

150 Appendix 1

2.1 1.5 1.9 2.7 1.7 1.1

Pohjois-Pohjanmaa Municipality 9 Alavieska 69 Haapajärvi 71 Haapavesi 72 Hailuoto 84 Haukipudas 139 Ii

1.2 1.2 1.0 0.5 1.9 1.4 0.8 1.0

0.7 0.8 0.4 1.2 0.9 0.8 0.9 0.5 0.6 0.7

Liperi Nurmes Polvijärvi Pyhäselkä Rääkkylä Tohmajärvi Valtimo

Kainuu Municipality 105 Hyrynsalmi 205 Kajaani 290 Kuhmo 578 Paltamo 620 Puolanka 697 Ristijärvi 765 Sotkamo 777 Suomussalmi 785 Vaala Total

426 541 607 632 707 848 911 Total

342 880 1,431 379 532 1,138

879 1,220 1,794 968 1,785 581 2,110 2,195 506 12,040

701 1,649 653 115 636 948 560 14,992

78.5 72.5 68.9 72.5 74.8 71.7

77.3 81.0 85.8 71.1 76.4 71.0 71.5 82.0 88.1 79.9

48.3 65.5 57.9 36.3 46.0 59.4 65.3 65.8

12,567 41,909 51,588 10,112 22,810 77,280

92,056 119,769 349,037 56,751 153,714 51,669 163,737 346,939 80,341 1,414,012

27,140 90,470 36,834 7,696 15,738 40,408 44,426 975,160

12.1 16.9 15.5 7.0 12.5 12.5

14.7 7.5 9.1 17.2 16.1 18.5 17.6 12.7 2.3 12.5

35.2 23.0 25.4 38.9 31.6 30.2 22.3 22.4

1,934 9,776 11,579 981 3,813 13,517

17,540 11,052 36,995 13,729 32,447 13,477 40,282 53,832 2,121 221,476

19,783 31,741 16,193 8,248 10,826 20,542 15,205 331,283

6.7 8.9 13.3 17.0 10.2 14.0

7.0 10.3 4.5 10.0 6.3 9.2 9.3 4.7 8.7 6.7

14.0 9.2 13.9 22.7 19.6 8.6 10.2 10.0

1,075 5,164 9,942 2,365 3,106 15,047

8,377 15,292 18,463 7,994 12,669 6,721 21,235 20,070 7,951 118,773

7,872 12,663 8,846 4,804 6,728 5,878 6,965 147,739

0.6 0.1 0.4 0.8 0.7 0.8

0.2 0.4 0.1 0.5 0.2 0.4 0.7 0.0 0.3 0.2

1.2 1.1 1.8 1.6 0.9 0.3 1.3 0.9

89 39 298 112 228 828

252 575 339 431 484 288 1,565 140 276 4,350

686 1,555 1,133 337 314 197 909 13,005

100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

16,007 57,768 74,839 13,950 30,489 107,809

119,104 147,909 406,629 79,873 201,099 72,737 228,929 423,176 91,195 1,770,651

56,182 138,077 63,658 21,200 34,242 67,974 68,064 1,482,179

Appendix 1 151

208 244 247 255 305 317 425 436 483 494 535 563 564 567 603 615 617 625 626 630 678 682 691 746

Kalajoki Kempele Kestilä Kiiminki Kuusamo Kärsämäki Liminka Lumijoki Merijärvi Muhos Nivala Oulainen Oulu Oulunsalo Piippola Pudasjärvi Pulkkila Pyhäjoki Pyhäsalmi Pyhäntä Raahe Rantsila Reisjärvi Sievi

Table 3a (continued)

2.7 1.2 0.5 1.1 1.2 1.0 0.6 1.4 1.9 1.5 2.6 3.1 1.2 1.4 1.0 0.9 1.1 2.4 1.3 0.3 1.7 1.2 1.4 1.7

(%)

1,262 81 219 251 4,370 530 214 176 328 741 787 1,391 229 148 338 3,428 308 984 1,331 192 649 582 465 880

(ha)

Open regeneration site

79.7 74.1 84.9 79.4 75.1 72.9 76.7 64.2 72.3 83.3 69.0 69.5 75.2 76.5 80.3 83.8 77.9 72.7 71.7 86.0 72.2 81.9 82.2 83.8

(%) 37,417 5,223 35,344 18,492 266,889 37,612 27,607 8,311 12,790 39,941 20,946 31,108 14,886 8,154 28,171 309,215 22,534 30,349 74,737 51,291 27,746 40,998 28,166 44,540

(ha)

Pine

8.2 7.1 3.0 11.5 20.1 12.0 3.2 6.5 15.9 3.6 20.3 16.8 12.0 8.8 6.5 10.6 7.9 10.1 16.6 4.7 8.8 4.4 10.2 8.5

(%) 3,830 499 1,257 2,676 71,523 6,212 1,135 845 2,812 1,746 6,149 7,522 2,383 933 2,287 39,027 2,289 4,204 17,327 2,792 3,382 2,204 3,482 4,502

(ha)

Spruce

9.0 16.3 11.2 7.7 3.4 13.1 18.2 25.9 9.6 10.8 8.0 10.2 10.7 12.3 11.6 4.6 12.3 13.4 10.3 8.8 15.8 11.9 6.1 5.9

(%) 4,227 1,147 4,649 1,791 12,002 6,762 6,562 3,356 1,691 5,181 2,426 4,583 2,123 1,310 4,081 16,862 3,570 5,584 10,712 5,230 6,066 5,954 2,078 3,161

(ha)

Birch

0.4 1.4 0.4 0.4 0.1 0.9 1.3 2.0 0.4 0.7 0.1 0.3 0.9 1.0 0.6 0.1 0.7 1.5 0.1 0.2 1.6 0.6 0.2 0.1

(%) 189 99 179 87 463 443 478 260 76 313 41 145 169 108 193 392 215 607 121 147 608 322 73 74

(ha)

Other deciduous tree species

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(%)

46,925 7,050 41,649 23,298 355,247 51,559 35,995 12,948 17,698 47,923 30,348 44,748 19,791 10,653 35,071 368,924 28,916 41,729 104,227 59,652 38,450 50,060 34,263 53,158

(ha)

Total

152 Appendix 1

Siikajoki Taivalkoski Tyrnävä Utajärvi Vihanti Yli-Ii Ylikiiminki Ylivieska

Lapland Municipality 47 Enontekiö 148 Inari 240 Kemi 241 Keminmaa 261 Kittilä 273 Kolari 320 Kemijärvi 498 Muonio 583 Pelkosenniemi 614 Posio 683 Ranua 698 Rovaniemi 732 Salla 742 Savukoski 751 Simo 758 Sodankylä 845 Tervola

748 832 859 889 926 972 973 977 Total

0.6 0.1 2.1 0.9 1.1 0.8 0.7 0.4 0.8 1.2 1.0 0.8 0.5 0.6 0.7 0.9 0.6

1.6 1.6 0.9 0.8 1.8 0.9 1.4 2.7 1.3

603 328 132 391 5,346 1,336 1,781 486 939 2,543 2,019 4,643 2,064 2,761 629 6,096 621

1,093 2,848 231 887 595 436 925 1,080 32,680

87.1 88.7 40.7 46.6 68.6 79.1 86.0 84.7 78.1 82.5 84.4 82.1 70.6 79.5 68.1 74.6 55.3

75.6 75.6 82.6 88.6 77.7 82.0 83.3 74.3 77.9

82,166 631,925 2,605 21,040 320,475 137,388 216,898 102,629 94,548 171,208 169,671 459,812 269,696 349,910 61,224 498,456 60,530

51,563 137,825 21,574 94,804 25,825 41,904 55,772 30,095 1,898,096

4.5 5.5 39.9 36.5 21.1 13.4 9.0 12.9 13.7 14.1 10.0 12.9 24.5 16.5 18.7 18.9 33.0

5.7 19.3 2.3 3.4 7.5 7.5 7.1 13.8 12.0

4,284 39,463 2,558 16,455 98,494 23,243 22,745 15,616 16,603 29,174 20,096 71,968 93,463 72,631 16,803 126,149 36,152

3,869 35,229 604 3,610 2,477 3,845 4,761 5,599 292,614

7.7 5.7 17.3 15.9 9.1 6.6 4.3 1.9 7.3 2.1 4.4 4.1 4.2 3.3 12.2 5.6 10.9

16.2 3.3 13.4 7.1 12.1 9.2 7.7 9.0 8.4

7,281 40,400 1,106 7,152 42,361 11,498 10,772 2,349 8,781 4,388 8,837 23,202 15,901 14,375 10,930 37,363 11,945

11,031 6,027 3,510 7,554 4,009 4,716 5,145 3,651 203,450

– – 0.1 0.2 0.1 0.1 0.1 0.1 0.1 0.1 0.3 0.0 0.2 0.1 0.3 0.0 0.1

1.0 0.2 0.8 0.1 1.0 0.3 0.5 0.2 0.4

– – 8 84 319 213 164 86 135 260 512 168 793 274 264 82 157

654 302 210 101 327 172 368 80 9,611

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

94,334 712,116 6,409 45,121 466,995 173,677 252,360 121,167 121,006 207,573 201,135 559,792 381,918 439,951 89,850 668,146 109,404

68,211 182,232 26,129 106,956 33,232 51,073 66,971 40,505 2,436,451

Appendix 1 153

851 854 890 976 Total

Tornio Pello Utsjoki Ylitornio

Table 3a (continued)

0.9 0.9 – 0.8 0.7

(%)

753 1,157 – 1,095 35,723

(ha)

Open regeneration site 46.1 77.0 62.9 73.9 77.8

(%) 38,100 103,615 3,961 104,447 3,900,304

(ha)

Pine 35.8 15.1 7.6 16.2 15.5

(%) 29,610 20,295 478 22,907 779,186

(ha)

Spruce 17.1 7.1 29.5 8.9 5.9

(%) 14,126 9,513 1,858 12,617 296,756

(ha)

Birch 0.1 0.1 – 0.2 0.1

(%) 65 64 – 256 3,902

(ha)

Other deciduous tree species

82,653 134,644 6,297 141,322 5,015,871

(ha)

Total 100.0 100.0 100.0 100.0 100.0

(%)

154 Appendix 1

Brändö Eckerö Finström Föglö Geta Hammarland Jomala Kumlinge Kökar Lemland Lumparland Mariehamn Saltvik Sottunga Sund Vårdö

Rannikko/Etelärannikko Municipality 40 Dragsfjärd 49 Espoo-Esbo 78 Hanko-Hangö 91 Helsinki-Helsingfors 92 Vantaa-Vanda

Åland Municipality 35 43 60 62 65 76 170 295 318 417 438 478 736 766 771 941 Total

– 0.1 – 0.0 6.6

– – – – – – – – – – – – – – – – –

(%)

– 2 – 0 21

– – – – – – – – – – – – – – – – –

(ha)

Open regeneration site

98.9 93.2 98.3 86.7 86.0

52.9 99.2 95.9 87.6 99.1 97.6 94.6 70.0 57.8 92.1 96.0 93.8 97.3 70.0 96.0 91.3 88.3

(%)

4,064 1,244 1,600 234 275

1,396 2,335 1,636 2,452 2,405 2,242 1,446 1,614 344 1,565 780 161 3,370 364 2,145 2,548 26,802

(ha)

Pine

0.8 1.6 1.7 8.4 1.1

– – – – – – – – – – – – – – – – –

(%)

Table 3b Dominant tree species on poorly productive forest land (By forestry centres).

33 21 27 23 4

– – – – – – – – – – – – – – – – –

(ha)

Spruce

0.2 5.0 0.0 4.9 6.3

29.9 0.6 2.7 3.3 0.6 2.0 3.1 17.1 12.2 3.8 1.3 3.9 0.9 10.1 1.4 3.9 6.0

(%)

7 67 0 13 20

788 14 47 93 15 45 48 394 72 64 11 7 32 53 31 108 1,821

(ha)

Birch

0.1 – – – –

17.2 0.2 1.4 9.0 0.3 0.4 2.3 12.9 30.0 4.2 2.7 2.3 1.8 19.9 2.6 4.9 5.7

(%)

5 – – – –

454 4 23 253 7 9 35 297 178 71 22 4 62 103 57 136 1,715

(ha)

Other deciduous tree species (ha)

Total

4,109 1,334 1,627 270 320 (continued)

100.0 100.0 100.0 100.0 100.0

100.0 2,638 100.0 2,353 100.0 1,705 100.0 2,798 100.0 2,427 100.0 2,296 100.0 1,529 100.0 2,305 100.0 594 100.0 1,700 100.0 813 100.0 172 100.0 3,463 100.0 519 100.0 2,233 100.0 2,792 100.0 30,338

(%)

Appendix 1 155

Houtskär-Houtskari Ingå-Inkoo Iniö Karis-Karjaa Kauniainen-Grankulla Kimito-Kemiö Kirkkonummi-Kyrkslätt Korpo-Korppoo Lapinjärvi-Lappträsk Liljendal Loviisa-Lovisa Nagu-Nauvo Pargas-Parainen Pernå-Pernaja Pohja-Pojo Porvoo-Borgå Ruotsinpyhtää-Strömfors Sipoo-Sibbo Siuntio-Sjundeå Ekenäs-Tammisaari Västanfjärd

Rannikko/Pohjanmaa Municipality 231 Kaskinen-Kaskö 272 Kokkola-Karleby 280 Korsnäs 287 KristinestadKristiinankaupunki

101 149 150 220 235 243 257 279 407 424 434 533 573 585 606 638 701 753 755 835 923 Total

Table 3b (continued)

– – – –

– – – – – 0.4 – – – – – 0.0 1.8 – – – – 2.0 – – – 0.2

(%)

– – – –

– – – – – 10 – – – – – – 49 – – – – 18 – – – 100

(ha)

Open regeneration site

51.4 73.0 80.1 94.0

95.1 98.9 97.4 98.7 96.3 97.3 98.3 96.7 96.1 98.2 91.5 99.7 96.7 92.2 92.8 96.7 87.9 97.0 93.5 97.9 98.9 97.1

(%)

23 878 341 1,437

2,407 3,276 1,565 792 17 2,504 3,485 3,420 739 261 136 4,954 2,657 1,216 1,454 2,116 641 864 921 8,243 1,189 50,274

(ha)

Pine

– – – –

4.6 0.7 2.3 1.1 1.2 1.2 1.0 2.7 2.5 0.4 2.7 0.1 1.3 2.5 7.1 0.7 2.5 – 6.2 1.9 0.9 1.8

(%)

– – – –

– 61 158 11 928

116 25 37 9 0 31 34 94 19 1 4 5 37 33 111 15 19

(ha)

Spruce

2.6 25.4 0.9 0.2

0.2 0.4 0.2 0.3 2.5 0.9 0.7 0.4 – 0.7 – 0.1 0.1 1.3 0.1 0.9 0.1 1.0 0.3 0.2 0.1 0.5

(%)

1 305 4 3

4 12 3 2 0 24 25 15 – 2 – 5 3 17 2 21 1 9 3 21 1 279

(ha)

Birch

46.1 1.6 19.0 5.8

0.1 – 0.1 – – 0.2 – 0.2 1.5 0.6 5.8 0.1 0.1 4.0 – 1.7 9.4 – – 0.0 0.1 0.4

(%)

1

4 –

20 19 81 88

– – 5 – 6 11 2 9 5 3 53 – 37 68 – – 1 1 210

(ha)

Other deciduous tree species (ha)

Total

100.0 100.0 100.0 100.0

44 1,203 425 1,529

100.0 2,532 100.0 3,313 100.0 1,606 100.0 803 100.0 17 100.0 2,574 100.0 3,545 100.0 3,535 100.0 770 100.0 266 100.0 148 100.0 4,970 100.0 2,748 100.0 1,319 100.0 1,567 100.0 2,188 100.0 729 100.0 890 100.0 985 100.0 8,423 100.0 1,202 100.0 51,791

(%)

156 Appendix 1

– 3.0 – – – 1.3 – – – 0.0 3.0 – – 0.2 – 0.2

Lounais-Suomi Municipality 6 Alastaro 17 Askainen 19 Aura 50 Eura 51 Eurajoki 73 Halikko 79 Harjavalta 99 Honkajoki 102 Huittinen 181 Jämijärvi 202 Kaarina 214 Kankaanpää 230 Karvia 252 Kiikala 254 Kiikoinen 259 Kisko

0.3 0.5 – 7.8 – 0.0 – 0.8 0.1 0.0 0.0

1.1

Kronoby-Kruunupyy Larsmo-Luoto Malax-Maalahti Korsholm-Mustasaari Närpes-Närpiö Oravais-Oravainen Jakobstad-Pietarsaari Pedersöre-Pedersören kunta Nykarleby-Uusikaarlepyy Vaasa-Vasa Vörå-Maxmo-VöyriMaksamaa

Total

288 440 475 499 545 559 598 599 893 905 945

– 10 – – – 15 – – – 0 9 – – 1 – 1

288

13 4 – 233 – 0 – 34 4 0 0

97.8 93.1 95.1 95.0 97.3 95.3 99.8 92.7 99.1 90.5 94.5 89.6 91.6 97.8 80.6 93.5

85.0

91.3 74.2 89.1 49.0 96.1 90.9 88.2 90.8 91.8 58.3 90.2

392 294 145 958 659 1,105 295 1,268 686 533 285 2,169 2,215 701 228 751

22,173

3,372 585 1,356 1,461 2,883 999 322 3,679 3,071 157 1,610

1.5 – – 2.7 0.7 0.0 – – 0.7 – – – – 0.3 – 0.3

0.8

– 0.6 0.2 6.2 – 0.0 – – – 4.7 0.5

6 – – 27 5 0 – – 5 – – – – 2 – 2

214

– 4 3 185 – 0 – – – 13 9

0.5 0.4 4.6 1.9 0.7 – 0.0 7.0 0.1 6.2 0.0 9.1 8.4 1.1 14.5 2.3

8.0

6.9 23.9 0.2 22.1 0.0 6.1 10.2 8.0 5.7 0.1 2.4

2 1 7 19 5 – 0 96 0 36 0 221 204 8 41 19

2,079

253 189 3 659 1 67 37 323 190 0 42

0.2 3.4 0.4 0.4 1.4 3.4 0.1 0.3 0.2 3.3 2.5 1.2 0.0 0.6 4.9 3.8

5.2

1.5 0.9 10.5 14.9 3.8 3.0 1.6 0.4 2.4 36.9 6.9

1 11 1 4 9 39 0 4 1 19 8 30 0 5 14 30

1,347

56 7 159 443 114 33 6 17 80 99 123

3,694 789 1,521 2,982 2,999 1,099 365 4,053 3,345 269 1,784

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

401 315 153 1,009 678 1,159 295 1,369 692 588 302 2,421 2,419 717 283 803

100.0 26,101

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

Appendix 1 157

262 271 284 304 308 319 400 406 413 419 423 430 442 480 481 482 484 485 501 503 529 531 537 538 561 577 586 587

Kiukainen Kokemäki Koski Tl Kustavi Kuusjoki Köyliö Laitila Lappi Lavia Lemu Lieto Loimaa Luvia Marttila Masku Mellilä Merikarvia Merimasku Muurla Mynämäki Naantali Nakkila Noormarkku Nousiainen Oripää Paimio Perniö Pertteli

Table 3b (continued)

– – – 0.6 – – 0.0 0.3 – 2.0 0.1 – – – 0.9 – – 1.2 – 0.1 1.7 – – – – 1.5 – –

(%) – – – 17 – – 0 2 – 3 0 – – – 4 – – 5 – 2 6 – – – – 17 – –

(ha)

Open regeneration site 91.9 95.6 93.3 96.9 97.5 96.4 95.8 97.6 78.9 95.2 96.7 92.4 97.5 98.1 96.2 97.2 79.0 97.8 96.8 96.3 95.6 99.4 75.0 96.8 97.5 96.4 97.9 97.4

(%) 113 813 202 2,518 94 843 1,595 650 627 144 528 593 133 359 403 239 615 413 214 1,866 360 159 628 716 211 1,131 1,502 291

(ha)

Pine 3.6 – 5.8 – 0.0 1.9 0.6 0.9 – 0.0 – 7.4 0.0 0.1 0.8 2.7 – – – 1.5 – 0.1 – 1.4 – – – –

(%)

–

– – 48 0 0 3 7 – – – 30 – 0 – 10 – – – –

0

0 17 10 6

13

–

4

(ha)

Spruce 2.7 3.3 0.8 0.9 2.1 1.6 2.1 0.7 16.4 0.5 2.9 0.0 – 1.7 0.4 0.0 11.1 0.2 3.1 1.6 1.0 – 19.0 1.3 2.3 – 2.1 2.5

(%)

(%) 2 9 0 42 0 1 26 3 38 3 2 1 3 0 7 0 78 4 0 10 6 1 50 3 1 25 1 0

(ha)

Other deciduous tree species

1.9 1.1 0.2 1.6 0.4 0.1 1.6 0.5 4.7 2.2 0.4 0.1 – 2.5 6 0.1 2 1.7 0 0.2 86 10.0 1 0.8 7 0.1 30 0.5 4 1.7 – 0.5 159 6.0 10 0.5 5 0.2 – 2.1 32 0.0 7 0.2

3 28 2 22 2 14 35 5 130 1 16 0

(ha)

Birch 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(%)

123 850 217 2,599 96 874 1,666 666 795 152 546 642 137 365 419 246 779 422 221 1,938 376 160 837 739 216 1,172 1,534 299

(ha)

Total

158 Appendix 1

Piikkiö Pomarkku Pori Pyhäranta Pöytyä Raisio Rauma Rusko Rymättylä Salo Sauvo Siikainen Somero Suomusjärvi Säkylä Särkisalo-Finby Taivassalo Tarvasjoki Turku-Åbo Ulvila Uusikaupunki Vahto Vampula Vehmaa Velkua Yläne

Häme-Uusimaa Municipality 15 Artjärvi 16 Asikkala 18 Askola

602 608 609 631 636 680 684 704 705 734 738 747 761 776 783 784 833 838 853 886 895 906 913 918 920 979 Total

– 2.4 –

2.3 0.0 – – 0.1 3.0 0.1 0.9 0.8 – 0.9 0.0 0.2 0.7 – 0.4 1.3 – 2.0 – 0.9 – – 2.5 0.5 0.3 0.5

– 15 –

10 0 – – 1 7 1 2 19 – 13 0 2 4 – 2 17 – 23 – 28 – – 20 3 4 248

89.5 73.7 97.2

95.2 79.0 65.0 95.5 97.3 93.4 96.8 97.0 98.0 95.2 96.8 79.9 95.6 97.1 97.1 97.8 97.2 93.7 94.9 79.6 96.0 94.1 99.2 94.4 98.1 95.5 93.6

303 449 188

413 652 335 394 905 212 1,012 157 2,197 302 1,318 958 848 542 591 398 1,273 121 1,070 853 2,822 207 87 772 594 1,616 51,291

6.8 6.9 –

– – 0.0 0.0 – 0.1 0.1 0.7 – – 0.2 – 3.2 1.0 1.5 0.2 – – 0.1 0.0 0.1 2.8 0.3 0.0 – 1.6 0.5

–

23 42

– – 0 0 – 0 1 1 – – 2 – 28 5 9 1 – – 1 0 4 6 0 0 – 28 282

3.7 17.1 2.8

0.0 16.4 14.1 2.1 2.4 0.0 0.7 0.1 0.3 4.4 0.0 13.2 0.3 0.3 1.3 0.1 0.1 6.0 0.3 17.5 0.3 2.7 0.2 0.0 0.5 2.5 3.6

12 104 5

0 135 73 9 23 0 7 0 7 14 0 158 3 2 8 0 1 8 4 187 8 6 0 0 3 43 1,964

– – –

2.4 4.7 20.9 2.3 0.1 3.5 2.3 1.2 0.8 0.3 2.1 6.8 0.7 1.0 0.2 1.6 1.5 0.3 2.7 2.9 2.6 0.4 0.3 3.2 0.9 0.1 1.9

– – –

10 38 108 10 1 8 24 2 18 1 29 82 6 5 1 6 20 0 30 31 77 1 0 26 5 1 1,035

100.0 100.0 100.0

(continued)

338 610 193

100.0 433 100.0 825 100.0 516 100.0 412 100.0 930 100.0 227 100.0 1,045 100.0 162 100.0 2,241 100.0 317 100.0 1,362 100.0 1,199 100.0 887 100.0 559 100.0 608 100.0 406 100.0 1,310 100.0 130 100.0 1,128 100.0 1,071 100.0 2,939 100.0 220 100.0 87 100.0 818 100.0 605 100.0 1,692 100.0 54,820

Appendix 1 159

61 81 82 83 86 98 103 106 109 111 165 169 186 210 223 224 245 283 316 398 401 433 444 504 505 532 540

Forssa Hartola Hattula Hauho Hausjärvi Hollola Humppila Hyvinkää Hämeenlinna Heinola Janakkala Jokioinen Järvenpää Kalvola Karjalohja Karkkila Kerava Hämeenkoski Kärkölä Lahti Lammi Loppi Lohja-Lojo Myrskylä-Mörskom Mäntsälä Nastola Nummi-Pusula

Table 3b (continued)

– – – – 8.6 – – 16.4 – – 0.0 – 21.3 – – 22.9 10.1 – – – – 6.8 – – 5.9 – –

(%) – – – – 30 – – 71 – – 0 – 5 – – 29 2 – – – – 30 – – 36 – –

(ha)

Open regeneration site 97.7 38.5 93.7 81.0 84.5 83.4 98.0 79.2 73.7 82.9 75.2 96.8 66.1 95.7 97.6 56.8 84.0 89.7 97.5 46.0 91.8 80.4 81.4 97.0 90.5 54.0 92.0

(%) 182 138 429 193 297 227 147 345 83 1,087 352 50 16 186 207 71 14 57 231 60 306 360 88 295 554 462 242

(ha)

Pine – – – – – 3.7 – – – 2.9 – – – – – – – – – 13.5 – – – – – 8.5 –

(%) – – – – – 10 – – – 38 – – – – – – – – – 18 – – – – – 73 –

(ha)

Spruce 2.3 61.5 6.3 19.0 6.9 13.0 2.0 4.4 26.3 14.2 24.8 3.2 12.7 4.3 2.4 20.2 5.9 10.3 2.5 40.5 8.2 12.8 18.6 3.0 3.6 37.5 8.0

(%) 4 222 29 45 24 35 3 19 30 186 116 2 3 8 5 25 1 7 6 53 27 57 20 9 22 321 21

(ha)

Birch – – – – – – – – – – – – – – – – – – – – – – – – – – –

(%)

(ha) – – – – – – – – – – – – – – – – – – – – – – – – – – –

Other deciduous tree species 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(%)

187 360 457 239 351 273 150 435 112 1,311 469 52 24 194 213 126 17 64 237 131 334 448 108 304 612 856 263

(ha)

Total

160 Appendix 1

Nurmijärvi Orimattila Padasjoki Pornainen Pukkila Renko Riihimäki Sammatti Sysmä Tammela Tuulos Tuusula Vihti Ypäjä

Kaakkois-Suomi Municipality 44 Elimäki 75 Hamina 142 Iitti 153 Imatra 163 Jaala 173 Joutseno 285 Kotka 286 Kouvola 306 Kuusankoski 405 Lappeenranta 416 Lemi 441 Luumäki

543 560 576 611 616 692 694 737 781 834 855 858 927 981 Total

0.3 0.5 0.5 1.7 0.3 0.0 0.6 0.0 0.0 0.3 0.0 0.3

28.1 3.4 5.8 8.0 – – 20.5 – 3.6 – – 26.6 12.2 – 3.6

1 5 4 1 2 0 4 0 0 1 0 3

95 26 15 12 – – 22 – 10 – – 52 41 – 492

89.3 97.1 93.1 77.6 93.2 68.0 96.3 96.6 95.7 79.2 89.1 94.3

55.4 83.7 88.3 81.5 81.6 89.5 70.6 97.5 79.9 98.0 72.8 64.8 49.2 70.4 80.4

283 1,074 754 45 616 83 660 28 88 262 106 952

187 650 233 118 87 304 76 106 230 829 110 128 165 74 10,919

4.4 0.0 0.8 – – 0.1 0.2 – 0.0 0.6 1.2 0.2

12.0 1.6 – – – – – – 0.8 – – – – – 1.9

0 2 1 2

–

0 1

– –

14 0 7

259

– – – – –

2

– – – – – –

41 13

5.5 1.2 4.4 4.2 0.6 15.2 1.5 2.6 1.4 19.2 6.1 3.6

4.5 11.3 5.9 10.6 18.4 10.5 8.9 2.5 15.7 2.0 27.2 8.6 38.6 29.6 14.0

18 13 36 2 4 18 10 1 1 63 7 37

15 88 16 15 20 36 10 3 45 17 41 17 130 31 1,907

0.2 1.2 1.1 17.5 5.8 17.2 1.5 1.2 3.1 1.0 4.4 1.6

– – – – – – – – – – – – – – –

1 14 9 10 39 21 10 0 3 3 5 16

– – – – – – – – – – – – – – –

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

317 1,106 810 58 661 122 685 29 92 331 119 1,010

100.0 338 100.0 776 100.0 264 100.0 145 100.0 106 100.0 340 100.0 108 100.0 109 100.0 288 100.0 846 100.0 151 100.0 197 100.0 336 100.0 105 100.0 13,576

Appendix 1 161

Pirkanmaa Municipality 20 108 143 177 211 250 289 303 310 418 493 506

489 580 624 689 700 739 754 775 831 909 935 978 Total

Akaa Hämeenkyrö Ikaalinen Juupajoki Kangasala Kihniö Kuhmalahti Kuru Kylmäkoski Lempäälä Mouhijärvi Mänttä

Miehikkälä Parikkala Pyhtää-Pyttis Rautjärvi Ruokolahti Savitaipale Anjalankoski Suomenniemi Taipalsaari Valkeala Virolahti Ylämaa

Table 3b (continued)

– – – – – – 0.7 – – – – –

0.4 0.8 0.3 0.0 0.4 0.3 0.4 0.2 0.7 0.4 0.3 0.2 0.4

(%)

1 – – – – –

– – – – – –

2 2 3 0 4 2 5 1 2 5 2 1 50

(ha)

Open regeneration site

77.6 82.4 88.0 84.1 80.4 92.9 79.8 88.4 82.2 63.8 82.3 65.9

90.5 81.3 87.1 85.3 86.6 96.0 96.9 98.4 87.2 95.1 92.7 86.3 92.1

(%)

39 406 1,180 213 288 978 117 1,348 104 66 188 25

436 195 934 122 880 719 1,203 477 239 1,285 594 397 12,429

(ha)

Pine

0.8 0.1 0.5 2.0 0.7 – 1.5 0.1 2.7 0.0 0.0 8.2

0.0 0.1 0.7 0.1 0.3 – 0.5 – 0.1 0.0 0.1 0.0 0.3

(%)

–

0 1 6 5 2 – 2 1 3 0 0 3

– 0 0 0 0 46

6

0 0 8 0 3

(ha)

Spruce

19.3 17.4 10.9 13.0 17.7 6.6 17.5 11.4 13.2 35.7 17.5 11.7

9.2 15.2 11.3 8.0 9.9 1.1 1.6 1.5 6.1 1.8 5.6 13.5 5.2

(%)

10 86 146 33 63 69 26 174 17 37 40 4

44 36 122 11 101 8 20 7 17 25 36 62 700

(ha)

Birch

2.4 0.1 0.6 0.9 1.3 0.5 0.4 0.2 1.9 0.4 0.3 14.2

0.1 2.8 0.5 6.8 2.8 2.7 0.6 0.1 5.8 2.7 1.4 0.0 2.0

(%)

1 1 8 2 5 5 1 2 2 0 1 5

0 7 5 10 28 20 8 0 16 36 9 0 270

(ha)

Other deciduous tree species (ha)

Total

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

50 493 1,340 253 358 1,053 147 1,525 126 104 229 38

100.0 482 100.0 240 100.0 1,072 100.0 143 100.0 1,016 100.0 749 100.0 1,242 100.0 485 100.0 274 100.0 1,351 100.0 641 100.0 460 100.0 13,495

(%)

162 Appendix 1

Etelä-Savo Municipality 46 90 97 171 178 213 246 491 507 588 593 618

536 562 581 604 619 635 702 837 887 908 912 922 933 936 980 988 Total

Enonkoski Heinävesi Hirvensalmi Joroinen Juva Kangasniemi Kerimäki Mikkeli Mäntyharju Pertunmaa Pieksämäki Punkaharju

Nokia Orivesi Parkano Pirkkala Punkalaidun Pälkäne Ruovesi Tampere Urjala Valkeakoski Vammala Vesilahti Vilppula Virrat Ylöjärvi Äetsä

– – – – – – – – 0.1 – – –

– 0.2 – – – 0.1 – – – – – – – – – – 0.0

–

2 – – –

– – – – – – – –

– – – – – – – – – – 3

0

– – –

1

94.2 94.7 81.9 85.0 89.7 86.4 93.2 91.2 77.0 83.6 87.2 80.3

72.0 81.5 93.0 53.3 93.5 80.0 86.8 79.8 87.3 79.8 84.2 77.0 77.5 91.9 78.0 83.8 87.7

140 551 537 702 1,777 1,354 672 2,865 1,090 305 2,907 262

119 527 3,560 15 590 314 795 250 513 125 686 142 301 2,402 240 179 15,710

0.2 1.5 0.2 3.6 3.1 0.7 0.1 0.6 7.6 – 1.6 0.3

0.1 1.0 0.0 0.0 6.1 2.7 1.0 0.0 2.6 1.3 0.1 0.2 4.5 0.0 0.1 0.0 0.7

0 9 2 30 62 12 1 19 107 – 54 1

0 7 1 0 38 11 9 0 15 2 0 0 17 0 0 0 126

5.6 3.8 17.9 11.4 7.2 12.9 6.6 8.2 15.1 16.4 11.1 19.4

27.8 16.5 6.6 46.6 0.3 16.0 11.3 19.9 8.3 17.1 15.4 22.5 13.4 6.8 21.6 15.5 10.8

8 22 117 94 143 202 48 257 214 60 371 63

46 107 254 14 2 63 103 62 49 27 125 41 52 178 66 33 1,926

– – – – – – – – 0.1 0.0 – –

0.0 0.8 0.4 0.1 0.1 1.3 1.0 0.3 1.8 1.9 0.4 0.4 4.7 1.3 0.4 0.7 0.8

– – – – – – – – 1 0 – –

0 5 15 0 1 5 9 1 11 3 3 1 18 33 1 1 140

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

149 582 656 826 1,982 1,568 721 3,141 1,415 364 3,332 326

100.0 165 100.0 647 100.0 3,829 100.0 29 100.0 631 100.0 392 100.0 916 100.0 313 100.0 588 100.0 156 100.0 814 100.0 184 100.0 389 100.0 2,613 100.0 307 100.0 214 100.0 17,906

Appendix 1 163

Puumala Rantasalmi Ristiina Savonlinna Savonranta Sulkava

Etelä-Pohjanmaa Municipality 4 Alahärmä 5 Alajärvi 10 Alavus 52 Evijärvi 74 Halsua 95 Himanka 145 Ilmajoki 151 Isojoki 152 Isokyrö 164 Jalasjärvi 175 Jurva 217 Kannus 218 Karijoki 232 Kauhajoki 233 Kauhava 236 Kaustinen 281 Kortesjärvi 300 Kuortane 301 Kurikka

623 681 696 740 741 768 Total

Table 3b (continued)

0.1 – 0.1 1.1 – – 0.0 0.0 0.0 0.9 – – 0.1 0.2 0.3 – 0.0 0.4 1.5

– – – – – – 0.0

(%)

– 2 22 – – 0 1 0 33 – – 1 19 5 – 0 9 24

2

2

– – – – – –

(ha)

Open regeneration site

96.8 97.7 94.2 96.8 100.0 94.2 99.7 97.1 99.3 96.1 99.6 96.5 98.7 97.1 97.1 99.2 98.6 94.6 96.8

98.8 92.8 86.6 97.4 93.1 97.4 89.3

(%)

2,132 4,561 3,464 1,944 3,622 863 1,289 4,192 1,214 3,342 1,717 1,820 855 9,136 1,789 3,037 1,500 1,945 1,523

1,646 307 693 919 94 600 17,422

(ha)

Pine

– – – – – – – – – – – – – – – – – – –

0.0 2.1 – 0.0 2.0 0.1 1.6

(%)

– – – – – – – – – – – – – – – – – – –

0 2 1 305

–

0 7

(ha)

Spruce

3.1 2.3 5.7 2.1 0.0 5.6 0.2 1.4 0.7 2.9 0.0 3.3 1.1 2.7 2.6 0.7 1.3 5.0 1.7

1.0 5.1 13.4 2.6 5.0 2.5 9.2

(%)

69 109 211 42 1 52 3 59 8 102 0 63 10 256 48 22 20 102 27

17 17 107 24 5 16 1,787

(ha)

Birch

– – – – – 0.2 0.1 1.5 – – 0.4 0.2 0.1 0.0 – 0.0 – – 0.0

0.2 – – – – – 0.0

(%)

– – – – –

– – – – – 4

3

2 1 64 – – 6 3 1 2 – 1 – – 0

(ha)

Other deciduous tree species (ha)

Total

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

2,203 4,671 3,677 2,008 3,622 916 1,293 4,317 1,222 3,477 1,723 1,886 866 9,413 1,842 3,061 1,521 2,056 1,574

100.0 1,667 100.0 330 100.0 801 100.0 944 100.0 101 100.0 616 100.0 19,520

(%)

164 Appendix 1

Keski-Suomi Municipality 77 172 179 180 182 183 216 226

315 399 403 408 414 421 429 544 584 743 759 846 849 863 885 924 934 942 971 975 989 Total

Hankasalmi Joutsa Jyväskylä Jyväskylän mlk Jämsä Jämsänkoski Kannonkoski Karstula

Kälviä Laihia Lappajärvi Lapua Lehtimäki Lestijärvi Lohtaja Nurmo Perho Seinäjoki Soini Teuva Toholampi Töysä Ullava Veteli Vimpeli Vähäkyrö Ylihärmä Ylistaro Ähtäri

– – – – 0.0 – – 0.0

– – – 2.8 – – – 2.2 – 0.7 – 0.0 – – – – – – 0.2 0.2 1.0 0.3

– – – – 0 – – 0

– – – 94 – – – 38 – 15 – 0 – – – – – – 2 4 30 302

85.4 61.6 82.4 88.9 77.6 86.8 98.5 99.0

96.4 99.9 96.7 94.5 95.9 99.6 95.5 96.1 99.1 97.0 96.5 99.8 99.6 94.5 99.8 99.4 94.8 97.9 94.5 97.5 95.9 97.4

147 177 31 210 710 392 581 3,269

5,723 1,783 2,095 3,163 2,295 4,552 2,862 1,688 4,511 2,153 3,449 2,762 4,237 1,003 1,158 4,125 1,742 190 949 1,728 3,007 105,121

– 5.9 0.5 0.1 8.0 5.4 – 0.0

– 0.1 – – – – – – – – – – – – – – – 2.1 – – – 0.0

–

– 17 0 0 73 24 – 0

– – – – – – – – – – – – – – – 4 – – – 6

2

14.6 32.5 17.1 10.9 13.7 7.8 1.4 0.7

3.2 0.0 3.3 2.7 4.1 0.3 4.2 1.7 0.9 2.3 3.2 0.2 0.4 5.5 0.2 0.6 5.2 0.0 5.3 2.3 2.9 2.2

25 93 6 26 126 35 8 21

192 0 71 89 98 15 127 30 39 51 114 5 17 59 2 26 96 0 53 41 92 2,422

– – – – 0.7 – 0.1 0.3

0.3 0.0 – – – 0.1 0.3 – 0.0 0.0 0.3 0.0 – – 0.0 0.0 – 0.0 – 0.0 0.1 0.1

– – – – 7 – 1 11

– 2 0 12 1 – – 0 0 – 0 – 0 4 129

3 8

– – –

19 0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

172 287 37 236 915 452 590 3,301

100.0 5,935 100.0 1,785 100.0 2,166 100.0 3,346 100.0 2,393 100.0 4,570 100.0 2,997 100.0 1,756 100.0 4,551 100.0 2,219 100.0 3,576 100.0 2,768 100.0 4,254 100.0 1,062 100.0 1,160 100.0 4,151 100.0 1,837 100.0 194 100.0 1,004 100.0 1,772 100.0 3,134 100.0 107,981

Appendix 1 165

Keuruu Kinnula Kivijärvi Konnevesi Korpilahti Kuhmoinen Kyyjärvi Laukaa Leivonmäki Luhanka Multia Muurame Petäjävesi Pihtipudas Pylkönmäki Saarijärvi Toivakka Uurainen Viitasaari Äänekoski

Pohjois-Savo Municipality 140 Iisalmi 174 Juankoski

249 256 265 275 277 291 312 410 415 435 495 500 592 601 633 729 850 892 931 992 Total

Table 3b (continued)

– –

– – – – – – 0.1 – – – – – – – – – – – – – 0.0

(%)

– –

– – – – – – – – – – – – – 3

3

– – – – – –

(ha)

Open regeneration site

87.5 92.6

96.7 98.5 98.8 98.7 81.4 71.6 98.7 92.0 88.7 71.4 99.9 76.3 93.9 97.7 99.6 99.0 82.7 99.8 98.3 99.0 95.7

(%)

433 297

2,334 2,458 1,712 241 270 478 3,663 272 690 80 1,960 46 389 3,325 1,111 827 154 411 1,297 719 27,954

(ha)

Pine

3.6 6.4

0.2 – – – 7.0 11.9 0.1 – 1.7 7.8 – 6.5 1.1 – – – 2.2 – – – 0.9

(%)

18 21

– 14 9 – 4 5 – – – 4 – – – 262

23 79 6

– – –

4

(ha)

Spruce

8.9 1.0

3.1 0.7 0.5 1.3 11.6 16.5 0.5 8.0 9.5 20.9 0.1 17.2 4.9 1.1 0.4 0.7 15.1 0.2 1.5 1.0 3.0

(%)

44 3

75 18 9 3 38 110 17 24 74 23 2 10 20 36 5 6 28 1 19 7 869

(ha)

Birch

– –

– 0.7 0.7 – – – 0.6 – – – – – – 1.3 – 0.3 – – 0.2 0.0 0.4

(%) –

– –

– – – 24 – – – – – – 43 – 3 – – 3 0 121

19 12

(ha)

Other deciduous tree species

(ha)

Total

100.0 100.0

495 320

100.0 2,413 100.0 2,495 100.0 1,733 100.0 244 100.0 332 100.0 667 100.0 3,713 100.0 296 100.0 778 100.0 112 100.0 1,962 100.0 60 100.0 414 100.0 3,404 100.0 1,116 100.0 835 100.0 186 100.0 412 100.0 1,319 100.0 726 100.0 29,209

(%)

166 Appendix 1

Kaavi Karttula Keitele Kiuruvesi Kuopio Lapinlahti Leppävirta Maaninka Nilsiä Pielavesi Rautalampi Rautavaara Siilinjärvi Sonkajärvi Suonenjoki Tervo Tuusniemi Varkaus Varpaisjärvi Vesanto Vieremä

Pohjois-Karjala Municipality 45 Eno 146 Ilomantsi 167 Joensuu 176 Juuka 248 Kesälahti 260 Kitee 276 Kontiolahti 309 Outokumpu

204 227 239 263 297 402 420 476 534 595 686 687 749 762 778 844 857 915 916 921 925 Total

– – – – – – – –

– – – – – – – – – – – – – – – – – – – – – –

– – – – – – – –

– – – – – – – – – – – – – – – – – – – – – –

96.4 93.0 97.0 89.7 97.3 93.5 96.9 87.9

92.4 91.3 93.6 89.9 87.5 92.0 73.0 92.4 95.2 94.5 90.2 96.0 90.7 92.5 85.0 88.1 89.5 90.8 92.3 93.7 88.7 92.3

2,150 14,468 1,781 3,870 358 643 917 349

655 221 607 2,022 307 452 214 180 597 1,427 199 4,817 102 4,781 173 96 250 127 551 149 1,682 20,337

1.1 0.2 1.2 0.4 – 0.0 – 3.5

1.5 – – 0.8 – 4.0 – 3.7 4.8 2.2 – 2.2 3.0 1.8 – 0.1 – 0.8 3.4 – 1.4 1.9

14

–

0

–

25 38 21 16

– – 18 – 20 – 7 30 34 – 111 3 91 – 0 – 1 20 – 27 412

10

2.4 6.8 1.8 10.0 2.7 6.4 3.1 8.5

7.3 8.7 5.5 9.3 12.5 4.1 27.0 3.9 0.1 2.7 9.8 1.8 6.3 5.7 15.0 11.7 10.5 8.3 4.3 5.7 9.8 5.8

54 1,054 34 431 10 44 30 34

43 21 36 209 44 20 79 8 1 41 22 90 7 295 31 13 29 12 26 9 187 1,276

0.0 0.0 – 0.0 – – – –

0.0 – 0.9 – – – – – – 0.5 – – – – – – – – – 0.7 – 0.0 –

0 1 – 0 – – – –

– – – – – – 8 – – – – – – – – – 1 – 6

6

0

(continued)

100.0 2,230 100.0 15,562 100.0 1,836 100.0 4,316 100.0 368 100.0 688 100.0 946 100.0 397

100.0 708 100.0 242 100.0 649 100.0 2,248 100.0 351 100.0 492 100.0 293 100.0 195 100.0 627 100.0 1,510 100.0 221 100.0 5,019 100.0 113 100.0 5,167 100.0 204 100.0 109 100.0 279 100.0 139 100.0 596 100.0 159 100.0 1,896 100.0 22,031

Appendix 1 167

Hyrynsalmi Kajaani Kuhmo Paltamo Puolanka Ristijärvi Sotkamo Suomussalmi Vaala

Lieksa Liperi Nurmes Polvijärvi Pyhäselkä Rääkkylä Tohmajärvi Valtimo

Pohjois-Pohjanmaa Municipality 9 Alavieska 69 Haapajärvi 71 Haapavesi 72 Hailuoto

Kainuu Municipality 105 205 290 578 620 697 765 777 785 Total

422 426 541 607 632 707 848 911 Total

Table 3b (continued)

– – – –

0.3 0.0 0.0 0.3 0.4 0.6 0.1 0.2 0.0 0.2

– – – – – – – – –

(%)

– – – –

30 2 5 9 98 23 13 80 0 261

– – – – – – – – –

(ha)

Open regeneration site

99.0 97.8 96.1 44.5

94.4 98.3 97.9 96.0 92.6 90.8 96.4 94.9 99.7 95.9

94.3 94.5 88.8 90.4 92.7 96.6 94.6 88.4 92.7

(%)

1,017 3,413 5,756 508

9,224 12,975 31,079 3,156 20,886 3,407 10,738 46,989 15,624 154,079

11,289 321 4,563 1,186 178 500 949 2,015 45,536

(ha)

Pine

0.0 0.0 – 0.1

1.7 0.4 1.2 0.7 1.7 3.2 0.8 1.6 0.0 1.3

– 4.2 – 5.8 – – 2.8 – 0.5

(%)

0 0 – 1

164 56 376 23 386 120 93 789 1 2,009

– 234

29

– –

76

–

14

–

(ha)

Spruce

1.0 2.2 3.9 49.9

3.1 1.1 0.8 2.2 4.9 4.3 1.9 3.2 0.3 2.4

5.3 1.4 11.2 3.8 7.3 3.4 2.6 10.5 6.6

(%)

11 78 234 569

307 143 254 71 1,101 161 212 1,565 52 3,864

634 5 575 50 14 18 26 238 3,251

(ha)

Birch

– – – 5.5

0.4 0.2 0.1 0.9 0.4 1.1 0.7 0.2 – 0.3

0.4 – 0.0 – – – – 1.1 0.2

(%)

63

403

–

– – –

41 20 29 30 80 43 82 78

– 2 – – – – 25 76

47

(ha)

Other deciduous tree species (ha)

Total

100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

1,028 3,491 5,990 1,142

9,767 13,196 31,743 3,289 22,551 3,754 11,138 49,502 15,677 160,616

100.0 11,971 100.0 340 100.0 5,141 100.0 1,312 100.0 192 100.0 518 100.0 1,003 100.0 2,278 100.0 49,097

(%)

168 Appendix 1

84 139 208 244 247 255 305 317 425 436 483 494 535 563 564 567 603 615 617 625 626 630 678 682 691 746 748 832 859 889 926 972

Haukipudas Ii Kalajoki Kempele Kestilä Kiiminki Kuusamo Kärsämäki Liminka Lumijoki Merijärvi Muhos Nivala Oulainen Oulu Oulunsalo Piippola Pudasjärvi Pulkkila Pyhäjoki Pyhäsalmi Pyhäntä Raahe Rantsila Reisjärvi Sievi Siikajoki Taivalkoski Tyrnävä Utajärvi Vihanti Yli-Ii

– – – – – – – – – – – 0.0 – – – – – – – – – – – – – – – – – 0.0 – – – –

1

– – – – – – – – – – – – – – – – –

0

– – – – – – – – – – –

94.3 92.3 99.4 85.2 98.2 95.8 86.0 98.4 92.7 72.5 97.8 95.3 96.0 97.1 89.6 88.9 97.0 89.4 97.2 95.3 98.7 98.8 87.2 96.9 98.9 99.7 89.9 78.3 93.9 93.6 95.4 92.9

2,811 11,809 3,664 941 6,280 2,354 54,841 4,373 7,469 966 745 7,467 992 2,387 1,044 1,304 3,326 59,358 1,952 2,371 5,981 7,947 2,090 7,624 2,894 7,488 7,794 22,292 5,014 18,569 3,863 6,685

0.4 0.8 – 0.1 0.0 0.1 10.3 – 0.1 – 0.4 0.3 – 0.0 0.2 0.1 0.1 6.2 0.0 – – 0.0 0.0 0.0 – – 0.0 16.8 0.5 1.2 – 0.8 – 1 0 3 6,601 – 7 – 3 24 – 0 3 1 3 4,112 1 – – 1 0 0 – – 4 4,795 27 230 – 55

12 103

5.3 6.9 0.6 14.6 1.8 4.1 3.0 1.6 7.1 26.0 1.8 4.4 4.0 2.9 10.1 10.3 2.9 4.4 2.8 4.7 1.3 1.2 12.8 3.1 1.1 0.3 10.0 4.7 5.6 5.3 4.6 6.3

159 885 21 161 112 100 1,928 70 574 346 14 347 41 71 118 151 101 2,911 55 117 82 99 308 240 31 22 866 1,343 300 1,044 186 454

– 0.0 – 0.1 – – 0.7 – 0.1 1.5 – 0.0 – – 0.0 0.8 – 0.0 – – – – 0.0 – – – 0.1 0.1 0.0 0.0 – –

– 1 – 1 – – 431 – 5 20 – 1 – – 0 12 – 3 – – – – 0 – – – 11 34 0 0 – –

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 (continued)

2,982 12,799 3,685 1,105 6,392 2,457 63,800 4,444 8,055 1,332 762 7,839 1,033 2,458 1,165 1,467 3,430 66,384 2,008 2,488 6,063 8,047 2,398 7,864 2,926 7,511 8,675 28,464 5,340 19,844 4,049 7,195

Appendix 1 169

Lapland Municipality 47 148 240 241 261 273 320 498 583 614 683 698 732 742 751 758 845 851 854 890 976 Total

973 977 Total

Enontekiö Inari Kemi Keminmaa Kittilä Kolari Kemijärvi Muonio Pelkosenniemi Posio Ranua Rovaniemi Salla Savukoski Simo Sodankylä Tervola Tornio Pello Utsjoki Ylitornio

Ylikiiminki Ylivieska

Table 3b (continued)

– – – – – – 0.3 – 0.1 0.0 0.1 0.0 0.0 0.1 – 0.1 – – – – – 0.0

– – 0.0

(%)

– – – – – – 163 – 32 13 53 9 12 168 – 292 – – – – – 742

1

– –

(ha)

Open regeneration site

18.4 47.3 62.8 86.0 68.9 73.7 84.6 65.6 76.9 83.0 85.9 83.0 64.1 72.6 81.9 65.5 82.6 80.8 70.7 1.8 79.4 57.9

96.1 98.3 90.5

(%)

(%)

32,163 3.6 193,791 3.7 139 0.0 3,690 4.9 102,339 19.1 34,037 16.2 47,605 5.5 19,859 23.3 26,988 7.0 40,772 9.6 60,938 4.6 90,117 10.4 71,720 27.5 86,018 22.3 18,535 6.0 141,247 20.4 18,693 12.6 9,330 13.4 16,394 18.1 1,859 0.4 26,233 12.4 1,042,467 11.4

8,751 0.3 2,600 – 296,742 4.9

(ha)

Pine 3.6 1.7 4.4

(%)

6,258 78.0 15,025 49.1 0 2.1 212 2.4 28,361 12.0 7,484 10.1 3,075 9.7 7,058 11.2 2,457 16.0 4,695 7.2 3,271 9.4 11,240 6.7 30,836 8.3 26,391 5.0 1,354 11.7 44,064 14.0 2,856 4.4 1,549 3.0 4,201 11.1 434 97.8 4,096 8.2 204,919 30.6

– 16,015

28

(ha)

Spruce

136,502 201,183 5 104 17,802 4,645 5,452 3,378 5,613 3,545 6,650 7,236 9,299 5,975 2,640 30,186 1,002 345 2,574 103,007 2,717 549,860

327 46 14,522

(ha)

Birch

– – 35.1 6.6 – – – – – 0.2 – 0.0 0.1 0.0 0.4 – 0.4 2.8 0.0 – 0.0 0.1

– – 0.2

(%) – –

77 284 – – – – – 104 – 0 100 0 99 – 83 326 4 – 9 1,086

– –

582

(ha)

Other deciduous tree species

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0

(%)

174,924 409,999 221 4,290 148,501 46,166 56,296 30,295 35,091 49,127 70,912 108,602 111,967 118,552 22,628 215,789 22,634 11,550 23,173 105,301 33,055 1,799,074

9,106 2,646 327,862

(ha)

Total

170 Appendix 1

34 52 13 0 5 19 33 9 – 34 4 5 14 1 13 11 241

Rannikko/Etelärannikko Municipality 40 Dragsfjärd 103 49 Espoo-Esbo 4 78 Hanko-Hangö 7 91 Helsinki36 Helsingfors 92 antaa-Vanda 45 101 Houtskär– Houtskari 149 Ingå-Inkoo 229 150 Iniö – 220 Karis-Karjaa 170 235 Kauniainen– Grankulla 243 Kimito-Kemiö 57

Åland Municipality 35 Brändö 43 Eckerö 60 Finström 62 Föglö 65 Geta 76 Hammarland 170 Jomala 295 Kumlinge 318 Kökar 417 Lemland 438 Lumparland 478 Mariehamn 736 Saltvik 766 Sottunga 771 Sund 941 Vårdö Total

2,223 22.0 1,289 19.0

2,454 536 2,213 25

2,123 12.2

0.5 –

1.3 – 1.5 –

0.3

14.1 14.5 19.6 12.6

1,833 12.2 2,129 14.0 662 9.7 1,678 25.7

9.8 14.4 20.1 13.6 14.6 16.3 18.8 14.0 27.6 18.6 14.3 25.5 12.5 20.9 15.8 13.4 16.0

0.7 0.0 0.1 0.6

1.2 284 0.9 793 0.2 1,274 0.0 835 0.2 484 0.3 1,134 0.4 1,416 0.3 453 – 359 0.5 1,184 0.2 242 1.1 117 0.2 781 0.2 183 0.2 815 0.3 501 0.4 10,860

13.5 16.0 15.8 20.5

6.8 24.7 23.9 19.3 23.8 25.2 24.3 12.6 6.2 24.9 21.4 23.4 21.4 15.1 23.2 19.9 21.5

2,608 15.0

1,806 10.4 156 4.2 1,744 15.4 34 17.0

1,971 19.5 402 5.9

2,029 2,441 1,079 1,334

199 1,360 1,513 1,194 792 1,755 1,836 405 80 1,581 362 107 1,332 132 1,199 741 14,589

13.4 18.2 34.0 15.4

14.3 9.9 12.0 14.6 10.2 12.0 12.1 13.4 19.2 12.4 11.5 9.7 12.3 14.5 12.2 11.1 12.3

17.9 13.5 19.7 16.6

2,246 12.9

3,111 498 2,227 33

2,083 20.6 787 11.6

2,022 2,776 2,328 1,007

415 543 760 907 340 836 912 433 251 790 195 45 765 127 628 413 8,361

Table 4a Age class distribution on forest land (By forestry centres). Open regeneration site 1–20 years 21–40 years 41–60 years (ha) (%) (ha) (%) (ha) (%) (ha) (%)

17.9 18.0 15.3 14.0

47.3 13.8 14.1 17.1 15.3 14.4 13.1 28.0 31.4 15.1 15.1 13.6 14.5 24.4 13.7 17.3 17.2

16.2 11.2 15.0 18.5 3,832 22.0

2,817 414 1,690 37

1,623 16.1 513 7.6

2,696 2,739 1,049 915

1,373 763 892 1,062 507 1,002 992 902 410 959 255 63 901 214 706 647 11,646

61–80 years (ha) (%)

21.9 15.3 14.4 13.5

9.2 11.9 11.4 9.8 11.8 11.5 11.8 9.5 4.2 11.0 12.5 9.2 13.6 7.7 12.3 11.5 11.2

23.0 26.9 18.5 17.6 3,564 20.5

3,995 993 2,084 35

1,266 12.5 1,585 23.4

3,310 2,339 983 879

266 654 720 604 391 798 889 305 55 699 212 42 849 67 632 428 7,612

81–100 years (ha) (%)

1,911 11.0

1,853 10.7 648 17.5 742 6.6 22 10.8

530 5.2 1,632 24.1

2,066 13.7 1,702 11.2 404 5.9 376 5.8

63 2.2 664 12.0 597 9.4 865 14.0 390 11.7 695 10.0 778 10.3 402 12.5 144 11.0 575 9.1 220 13.0 41 9.0 774 12.4 94 10.8 583 11.3 504 13.5 7,391 10.9

101–120 years (ha) (%)

5.1 3.8 2.8 2.4

0.7 8.3 5.9 6.8 8.0 6.7 6.2 5.1 0.2 5.8 6.6 5.8 7.7 3.4 6.8 6.7 6.3

2.9 3.7 2.0 4.5 806 4.6

499 137 221 9

216 2.1 118 1.7

774 581 189 159

20 458 372 419 265 468 468 164 3 371 112 27 477 29 352 251 4,255

121–140 years (ha) (%)

242

608 309 203 5

155 456

258 546 143 141

248 228 188 310 148 245 226 152 2 158 92 13 337 26 230 235 2,839

1.4

3.5 8.4 1.8 2.4

1.5 6.7

1.7 3.6 2.1 2.2

8.6 4.1 3.0 5.0 4.5 3.5 3.0 4.7 0.1 2.5 5.4 2.7 5.4 3.0 4.5 6.3 4.2

141+ years (ha) (%)

100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0

(continued)

17,390 100.0

17,372 3,692 11,293 201

10,113 100.0 6,782 100.0

15,092 15,256 6,845 6,526

2,901 5,515 6,330 6,196 3,323 6,953 7,551 3,225 1,304 6,350 1,693 459 6,231 874 5,157 3,732 67,794

Forest land total (ha) (%)

KirkkonummiKyrkslätt Korpo-Korppoo LapinjärviLappträsk Liljendal Loviisa-Lovisa Nagu-Nauvo Pargas-Parainen Pernå-Pernaja Pohja-Pojo Porvoo-Borgå RuotsinpyhtääStrömfors Sipoo-Sibbo SiuntioSjundeå EkenäsTammisaari Västanfjärd

132

175 60

32 6 0 28 276 76 254 124

0 104

71

16.0 20.0 22.8 17.2

65 3,145 2,564 5,570

10.1 15.1 14.7 11.7

723 12.7 72,252 19.8

8,042 18.4

1,384 14.2 5,295 15.0 5,072 9.4

103 4,177 3,964 8,190

808 14.2 62,067 17.0

8,397 19.2

25.4 26.5 15.0 14.8 25.7 18.5 26.0 26.7

4,567 23.3 2,273 18.3

1,460 727 1,951 2,148 6,629 2,749 9,463 4,289

950 11.3 4,253 24.7

2,909 15.6

41–60 years (ha) (%)

162 1.7 2,809 28.9 1,688 17.4 623 1.8 7,767 22.0 8,246 23.4 571 1.1 12,443 23.1 11,266 20.9

28.3 22.3 20.0 16.7

7,950 16.3

183 4,663 3,487 7,918

806 14.1 54,565 14.9

5,873 13.4

21.8 18.2 8.5 12.5 22.1 25.5 20.8 21.5

3,593 18.3 1,819 14.7

1,255 500 1,101 1,825 5,699 3,800 7,591 3,448

442 5.3 3,553 20.6

2,631 14.1

21–40 years (ha) (%)

8,042 16.5

0.9

442

9.9 8.3 14.9 14.9 12.7 15.6 16.5 11.9

3,487 17.8 2,174 17.5

567 227 1,938 2,172 3,277 2,329 6,002 1,911

1,871 22.3 1,747 10.1

3,017 16.1

1–20 years (ha) (%)

9,763 20.0

0.5 1.1 1.6 0.6

3 226 277 289

0.4 0.6

0.3

0.9 0.5

0.6 0.2 0.0 0.2 1.1 0.5 0.7 0.8

0.0 0.6

0.4

Open regeneration site (ha) (%)

23 2,012

Rannikko/Pohjanmaa Municipality 231 Kaskinen-Kaskö 272 Kokkola-Karleby 280 Korsnäs 287 KristinestadKristiinankaupunki 288 KronobyKruunupyy 440 Larsmo-Luoto 475 Malax-Maalahti 499 KorsholmMustasaari

923 Total

835

753 755

424 434 533 573 585 606 638 701

279 407

257

Table 4a (continued)

18.6 18.4 18.1 18.4 17.1 14.0 18.9 16.4

12.4 11.8 15.8 16.4

1,011 10.4 4,549 12.9 5,450 10.1

6,859 14.1

80 2,457 2,745 7,806

1,044 18.3 61,758 16.9

7,277 16.6

3,518 18.0 1,777 14.3

1,072 505 2,353 2,683 4,426 2,087 6,881 2,628

1,082 12.9 3,176 18.4

2,924 15.6

61–80 years (ha) (%)

11.6 13.6 26.0 20.9 10.1 12.2 10.5 11.5

4,043 9.2

812 4.1 1,283 10.3

470 8.2 318 11.6 1,631 12.5 1,692 11.6 2,179 8.4 1,301 8.7 1,470 4.0 1,372 8.6

1,303 15.5 1,296 7.5

2,333 12.5

101–120 years (ha) (%)

17.4 11.4 13.7 19.7

941 9.7 4,533 12.8 9,998 18.5

6,229 12.8

113 2,386 2,380 9,358

769 7.9 2,495 7.1 6,251 11.6

5,945 12.2

70 10.8 2,232 10.7 1,165 6.7 5,882 12.4

1,197 21.0 743 13.0 59,657 16.3 34,132 9.3

6,923 15.8

2,955 15.1 2,099 16.9

665 373 3,375 3,044 2,618 1,818 3,818 1,845

2,266 27.0 2,407 14.0

3,222 17.2

81–100 years (ha) (%)

2.3 1.8 2.4 4.7 1.9 3.4 2.4 1.4

3.5 5.7 3.7 4.0

688 7.1 1,216 3.4 1,514 2.8

2,818 5.8

22 1,188 647 1,887

293 5.1 11,190 3.1

1,775 4.1

445 2.3 490 4.0

130 49 316 685 490 508 855 217

109 1.3 378 2.2

740 4.0

121–140 years (ha) (%)

277 585 1,385

763

7 410 193 610

66 8,029

1,306

40 437

107 42 342 277 230 230 96 223

377 325

866

2.8 1.7 2.6

1.6

1.1 2.0 1.1 1.3

1.2 2.2

3.0

0.2 3.5

1.9 1.5 2.6 1.9 0.9 1.6 0.3 1.4

4.5 1.9

4.6

141+ years (ha) (%)

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0

9,729 100.0 35,308 100.0 53,950 100.0

48,811 100.0

646 20,883 17,422 47,508

5,701 100.0 365,663 100.0

43,767 100.0

19,591 100.0 12,412 100.0

5,759 2,747 13,006 14,554 25,824 14,898 36,430 16,058

8,400 100.0 17,240 100.0

18,714 100.0

Forest land total (ha) (%)

Lounais-Suomi Municipality 6 Alastaro 17 Askainen 19 Aura 50 Eura 51 Eurajoki 73 Halikko 79 Harjavalta 99 Honkajoki 102 Huittinen 181 Jämijärvi 202 Kaarina 214 Kankaanpää 230 Karvia 252 Kiikala 254 Kiikoinen 259 Kisko 262 Kiukainen 271 Kokemäki 284 Koski Tl 304 Kustavi 308 Kuusjoki 319 Köyliö 400 Laitila

229 11 46 313 311 50 133 283 319 292 15 665 474 189 151 147 82 484 143 26 43 308 291

1.9 0.4 1.2 1.1 1.4 0.3 1.9 1.3 1.6 2.3 0.7 1.5 1.5 1.3 1.6 0.9 1.2 1.7 1.8 0.3 0.9 2.1 0.9

1,726 390 635 4,085 3,314 2,449 1,010 2,027 2,989 1,898 359 5,314 2,768 1,881 1,365 2,349 1,103 4,289 1,112 931 609 1,878 4,294

Närpes-Närpiö 459 0.7 12,989 Oravais295 2.3 2,507 Oravainen 598 Jakobstad145 2.6 1,167 Pietarsaari 599 Pedersöre787 1.5 9,457 Pedersören kunta 893 Nykarleby1,110 2.3 8,336 Uusikaarlepyy 905 Vaasa-Vasa 37 0.4 1,949 945 Vörå-Maxmo598 1.5 6,990 VöyriMaksamaa Total 6,024 1.3 90,614

545 559

19.7 14.8 18.0 21.2 21.1 16.0 21.4 21.4 21.4 20.0 14.2 23.0 20.6 17.5 22.2 18.0 21.3 21.7 17.8 18.2 18.9 20.1 21.1

66,762 14.3

19.3 92,041 19.6

2,345 417 710 6,000 4,555 2,869 1,525 4,560 4,236 2,526 303 10,530 6,614 2,449 2,037 3,047 1,444 6,247 1,417 1,653 883 2,961 6,837

1,108 11.1 4,911 12.7

2,121 21.2 7,300 18.8

19.5 18.0

16.0 15.3 16.2 20.2 22.5 20.4 20.5 19.5 19.3 16.6 19.3 17.2 19.1 15.3 19.3 17.1 23.5 20.0 13.9 8.7 14.2 16.3 19.1

9,463 19.4

17.1 10,562 21.6

1,911 433 641 5,720 4,857 3,650 1,463 4,142 3,815 2,101 413 7,865 6,114 2,147 1,774 2,884 1,593 5,763 1,101 791 661 2,403 6,197

9,474 17.5

17.4 11,449 21.1

14.5 13.8 16.1 14.4 15.3 13.7 14.2 9.5 15.1 15.0 16.9 11.6 8.6 13.4 14.9 13.9 16.3 14.9 14.0 10.3 13.1 12.8 13.2

1,121 20.2

1,063 19.1

21.0

7,377 11.5 2,170 17.2

9,759 15.2 2,391 18.9

20.2 19.8

1,890 560 579 4,188 2,990 3,832 1,196 3,603 3,105 2,629 402 9,434 5,050 2,277 1,719 3,010 927 4,995 1,421 1,757 766 2,500 4,697

15.8 19.8 14.7 14.8 13.8 21.4 16.8 16.9 15.7 20.8 18.8 20.7 15.7 16.2 18.7 17.8 13.7 17.4 17.9 19.4 16.4 17.0 14.5

62,645 13.4

1,250 12.5 4,968 12.8

6,038 12.4

7,515 13.9

652 11.7

9,856 15.3 1,410 11.1

1,242 12.4 4,105 10.6

4,335 8.9

5,615 10.4

376 6.8

7,705 12.0 1,145 9.1

1,848 602 647 3,880 2,941 2,713 850 2,683 2,795 1,205 357 4,699 5,003 2,476 918 2,608 864 3,408 1,381 2,548 826 2,129 4,909

15.5 21.3 16.4 13.7 13.6 15.1 11.9 12.6 14.1 9.5 16.7 10.3 15.6 17.6 10.0 15.4 12.7 11.8 17.4 28.1 17.7 14.5 15.1

1,155 9.7 270 9.6 414 10.5 2,428 8.6 1,579 7.3 1,497 8.4 517 7.3 1,965 9.2 1,498 7.6 957 7.6 184 8.6 3,870 8.5 2,821 8.8 1,485 10.6 713 7.8 1,625 9.6 446 6.6 1,904 6.6 839 10.5 778 8.6 526 11.3 1,456 9.9 3,175 9.8

70,565 15.1 49,330 10.5

1,882 18.8 5,684 14.7

5,882 12.0

6,222 11.5

583 10.5

12,731 19.8 1,644 13.0

663 5.6 97 3.4 193 4.9 1,276 4.5 835 3.9 615 3.4 328 4.6 1,551 7.3 900 4.5 792 6.3 59 2.8 2,384 5.2 2,600 8.1 778 5.6 408 4.5 793 4.7 239 3.5 1,239 4.3 497 6.3 416 4.6 264 5.7 792 5.4 1,595 4.9

21,361 4.6

202 2.0 2,761 7.1

2,166 4.4

2,831 5.2

268 4.8

2,483 3.9 667 5.3

163 41 89 448 231 256 104 473 160 260 42 933 643 353 94 435 94 445 42 175 90 299 425

9,235

216 1,460

961

884

179

878 427

1.4 1.5 2.3 1.6 1.1 1.4 1.5 2.2 0.8 2.1 2.0 2.0 2.0 2.5 1.0 2.6 1.4 1.6 0.5 1.9 1.9 2.0 1.3

2.0

2.2 3.8

2.0

1.6

3.2

1.4 3.4

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 (continued)

11,929 2,821 3,955 28,339 21,612 17,931 7,124 21,286 19,817 12,659 2,133 45,693 32,087 14,036 9,179 16,899 6,792 28,774 7,954 9,075 4,667 14,728 32,419

468,578 100.0

10,008 100.0 38,777 100.0

48,853 100.0

54,234 100.0

5,554 100.0

64,237 100.0 12,657 100.0

406 413 419 423 430 442 480 481 482 484 485 501 503 529 531 537 538 561 577 586 587 602 608 609 631 636 680 684 704 705 734 738 747 761 776 783 784

1.1 1.8 1.1 0.8 1.5 1.5 1.3 1.0 1.8 1.9 0.1 0.8 1.4 0.4 2.1 1.7 1.4 1.6 0.5 0.7 0.8 0.5 1.3 1.9 0.6 1.3 1.0 0.7 1.0 0.3 0.7 0.8 1.9 1.2 1.4 1.9 0.4

1,834 3,178 335 1,196 2,515 1,504 1,349 618 548 5,667 271 558 4,527 301 1,401 4,106 1,317 721 1,471 2,662 950 545 2,814 5,795 1,258 2,851 309 2,524 318 719 1,133 1,927 5,103 5,060 1,814 1,142 739

13.7 13.8 18.7 13.5 14.1 12.7 14.8 14.5 15.4 17.5 10.2 13.4 14.5 12.7 16.1 16.8 12.2 13.0 13.2 11.5 14.3 14.3 12.4 20.5 13.1 13.9 16.7 14.1 14.1 10.0 15.3 16.1 15.0 15.3 16.6 11.8 13.9

Open regeneration site 1–20 years (ha) (%) (ha) (%)

Lappi 150 Lavia 418 Lemu 20 Lieto 69 Loimaa 272 Luvia 174 Marttila 114 Masku 42 Mellilä 63 Merikarvia 614 Merimasku 4 Muurla 33 Mynämäki 428 Naantali 10 Nakkila 187 Noormarkku 412 Nousiainen 150 Oripää 87 Paimio 50 Perniö 161 Pertteli 53 Piikkiö 18 Pomarkku 291 Pori 547 Pyhäranta 59 Pöytyä 266 Raisio 18 Rauma 123 Rusko 22 Rymättylä 18 Salo 54 Sauvo 101 Siikainen 628 Somero 382 Suomusjärvi 155 Säkylä 179 Särkisalo-Finby 23

Table 4a (continued)

2,643 4,644 304 1,393 2,424 2,937 1,408 715 554 6,954 269 714 5,695 357 2,046 4,357 1,682 829 2,145 3,850 1,072 723 3,557 6,246 1,669 3,347 315 3,619 365 694 1,394 2,298 6,315 5,602 1,853 1,478 1,018

19.8 20.2 16.9 15.7 13.6 24.7 15.5 16.8 15.5 21.4 10.1 17.2 18.2 15.1 23.4 17.8 15.6 14.9 19.2 16.7 16.2 19.0 15.7 22.1 17.4 16.3 17.0 20.2 16.1 9.7 18.8 19.2 18.6 16.9 17.0 15.3 19.2

21–40 years (ha) (%) 2,701 5,109 313 1,610 3,128 2,634 1,739 856 658 6,156 429 711 6,628 330 1,738 4,661 2,007 1,123 1,560 3,969 1,198 518 4,211 5,425 2,006 3,969 294 3,642 477 1,013 1,276 1,862 7,496 6,392 1,867 1,905 885

20.2 22.2 17.5 18.2 17.6 22.2 19.1 20.1 18.4 19.0 16.1 17.1 21.2 13.9 19.9 19.1 18.6 20.2 14.0 17.2 18.1 13.6 18.6 19.2 20.9 19.3 15.9 20.3 21.1 14.1 17.2 15.6 22.1 19.3 17.1 19.8 16.7

41–60 years (ha) (%) 1,909 4,357 260 1,462 3,298 1,553 1,369 630 579 6,149 568 839 4,596 470 1,263 4,037 1,718 851 2,464 5,051 1,152 809 4,328 3,172 1,577 3,133 329 2,686 346 1,478 1,453 2,042 7,157 5,485 1,719 1,589 1,031

14.3 18.9 14.5 16.5 18.5 13.1 15.1 14.8 16.2 19.0 21.4 20.2 14.7 19.8 14.5 16.5 15.9 15.3 22.1 21.9 17.4 21.2 19.1 11.2 16.5 15.3 17.8 15.0 15.3 20.6 19.6 17.1 21.1 16.5 15.7 16.5 19.4

61–80 years (ha) (%) 2,002 2,126 309 1,507 3,061 1,384 1,517 695 567 2,946 697 633 4,360 530 1,017 2,824 1,800 836 1,864 3,540 1,059 645 3,242 2,876 1,359 3,140 330 2,542 378 1,967 1,014 2,028 3,127 5,446 1,792 1,525 868

15.0 9.2 17.2 17.0 17.2 11.7 16.7 16.3 15.9 9.1 26.2 15.2 14.0 22.3 11.7 11.6 16.7 15.1 16.7 15.3 16.0 16.9 14.3 10.2 14.2 15.3 17.8 14.2 16.7 27.5 13.7 17.0 9.2 16.4 16.4 15.8 16.3

81–100 years (ha) (%) 1,270 1,748 173 950 1,809 801 989 474 351 2,277 259 371 3,059 252 522 2,079 1,258 598 940 2,219 643 331 2,292 2,021 1,058 2,198 177 1,751 249 743 633 1,092 2,282 2,869 1,091 1,027 490

9.5 7.6 9.6 10.7 10.2 6.7 10.9 11.1 9.8 7.0 9.8 8.9 9.8 10.6 6.0 8.5 11.7 10.8 8.4 9.6 9.7 8.7 10.1 7.2 11.0 10.7 9.6 9.8 11.0 10.4 8.6 9.1 6.7 8.7 10.0 10.7 9.2

101–120 years (ha) (%) 674 1,040 68 448 1,149 707 453 172 217 1,011 115 188 1,424 66 407 1,418 644 356 359 976 334 124 1,437 1,533 545 1,076 51 868 81 265 279 432 1,087 1,581 489 589 201

5.0 4.5 3.8 5.1 6.5 6.0 5.0 4.0 6.1 3.1 4.3 4.5 4.6 2.8 4.7 5.8 6.0 6.4 3.2 4.2 5.0 3.2 6.3 5.4 5.7 5.2 2.8 4.9 3.6 3.7 3.8 3.6 3.2 4.8 4.5 6.1 3.8

121–140 years (ha) (%) 195 415 14 214 155 188 162 63 32 672 46 109 524 56 148 527 206 157 292 691 165 100 534 604 52 545 28 149 26 266 168 165 732 358 148 211 60

1.5 1.8 0.8 2.4 0.9 1.6 1.8 1.5 0.9 2.1 1.8 2.6 1.7 2.4 1.7 2.2 1.9 2.8 2.6 3.0 2.5 2.6 2.4 2.1 0.5 2.7 1.5 0.8 1.1 3.7 2.3 1.4 2.2 1.1 1.4 2.2 1.1

13,377 23,035 1,796 8,849 17,811 11,884 9,100 4,264 3,567 32,445 2,657 4,156 31,242 2,371 8,730 24,421 10,782 5,558 11,144 23,117 6,626 3,813 22,706 28,219 9,582 20,526 1,852 17,904 2,262 7,163 7,403 11,946 33,928 33,174 10,927 9,646 5,314

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

Forest land 141+ years total (ha) (%) (ha) (%)

14 157 164 129 109 356 371 255 328 91 189 122 116 552 104 23 230 155 88 6 145 150 19 496 334 125

Taivassalo 17 Tarvasjoki 40 Turku-Åbo 87 Ulvila 545 Uusikaupunki 376 Vahto 55 Vampula 114 Vehmaa 72 Velkua 3 Yläne 280 12,984

Häme-Uusimaa Municipality 15 Artjärvi 16 Asikkala 18 Askola 61 Forssa 81 Hartola 82 Hattula 83 Hauho 86 Hausjärvi 98 Hollola 103 Humppila 106 Hyvinkää 109 Hämeenlinna 111 Heinola 165 Janakkala 169 Jokioinen 186 Järvenpää 210 Kalvola 223 Karjalohja 224 Karkkila 245 Kerava 283 Hämeenkoski 316 Kärkölä 398 Lahti 401 Lammi 433 Loppi 444 Lohja-Lojo

833 838 853 886 895 906 913 918 920 979 Total

0.2 0.4 1.4 0.9 0.3 1.4 1.5 1.3 1.1 1.3 1.0 1.1 0.2 1.6 1.3 1.5 1.0 2.0 0.5 0.4 1.2 1.1 0.2 1.3 0.8 0.8

1,800 7,660 1,603 2,470 9,112 4,582 3,309 3,144 5,687 956 3,138 2,117 9,834 5,264 1,334 458 4,043 1,717 2,669 425 2,050 2,052 1,970 6,280 6,452 3,507

0.3 725 0.9 661 1.0 1,479 2.0 3,999 1.3 4,670 1.3 525 1.7 934 0.8 1,600 0.2 147 1.2 2,948 1.32 137,54

697 753 1,544 5,622 5,551 688 1,084 1,862 81 4,019 177,82

19.0 1,900 17.8 8,261 13.2 1,921 18.0 1,893 20.7 9,475 18.1 5,932 13.5 3,762 15.7 3,611 19.1 6,512 13.3 806 16.1 2,974 19.7 2,410 17.3 14,643 15.7 5,940 16.6 1,070 30.6 216 18.1 5,724 22.6 1,539 16.5 2,821 29.1 214 17.2 2,574 15.1 2,907 24.9 1,875 16.0 7,794 15.5 7,195 21.7 2,938

11.7 15.2 16.8 14.6 16.4 12.6 13.9 17.5 8.7 12.4 14.12

20.1 19.2 15.8 13.8 21.6 23.4 15.3 18.0 21.9 11.2 15.3 22.5 25.8 17.7 13.3 14.5 25.7 20.2 17.4 14.7 21.6 21.4 23.7 19.9 17.3 18.2

1,172 7,541 1,964 2,301 7,601 3,418 4,553 3,871 5,046 1,609 3,695 1,805 6,858 6,659 1,462 331 2,764 1,406 2,955 349 2,628 2,604 1,041 8,389 6,753 3,259

11.2 957 17.3 834 17.5 1,478 20.5 5,798 19.5 5,163 16.5 804 16.1 1,523 20.3 1,503 4.8 300 16.9 4,771 18.27191,78

12.4 1,380 17.5 8,511 16.2 2,072 16.7 2,854 17.3 9,216 13.5 5,454 18.5 6,564 19.3 3,920 17.0 5,044 22.4 1,608 19.0 4,140 16.8 2,014 12.1 11,394 19.8 6,642 18.2 1,567 22.1 204 12.4 4,292 18.5 875 18.2 3,095 23.9 178 22.0 2,270 19.1 2,613 13.1 1,065 21.4 7,920 16.3 8,965 20.1 2,110

15.4 1,283 19.1 677 16.8 1,381 21.2 4,666 18.2 4,029 19.3 682 22.6 1,009 16.4 1,471 17.8 323 20.1 3,953 19.78 165,90

14.6 19.8 17.0 20.8 21.0 21.5 26.7 19.5 17.0 22.4 21.3 18.8 20.0 19.8 19.5 13.6 19.2 11.5 19.1 12.2 19.0 19.2 13.4 20.2 21.6 13.0

1,605 5,670 2,391 2,424 4,594 3,251 2,952 2,865 3,598 816 3,004 1,295 4,810 4,777 1,448 138 3,070 1,002 2,629 149 1,157 1,730 1,000 3,816 7,081 2,201

20.6 1,549 15.5 691 15.7 1,511 17.1 2,891 14.2 4,168 16.3 655 15.0 1,084 16.1 1,420 19.2 518 16.6 3,551 17.07 137,87

17.0 13.2 19.7 17.6 10.5 12.8 12.0 14.3 12.1 11.4 15.5 12.1 8.5 14.2 18.1 9.3 13.8 13.2 16.2 10.2 9.7 12.7 12.6 9.7 17.0 13.6

24.9 15.9 17.2 10.6 14.7 15.7 16.1 15.5 30.7 14.9 14.12

957 3,489 1,361 848 2,557 1,702 2,326 1,779 2,515 639 1,570 589 4,481 2,375 498 88 1,580 463 1,304 87 779 1,178 688 3,007 3,234 1,290

639 421 869 1,972 2,931 434 599 865 170 2,441 86,79

10.1 8.1 11.2 6.2 5.8 6.7 9.5 8.9 8.5 8.9 8.1 5.5 7.9 7.1 6.2 5.9 7.1 6.1 8.1 5.9 6.5 8.7 8.7 7.7 7.8 8.0

10.3 9.7 9.9 7.2 10.3 10.4 8.9 9.4 10.1 10.3 8.93

329 932 511 733 998 349 507 425 613 631 490 270 3,285 981 509 31 322 378 428 39 175 269 170 865 1,105 560

258 201 272 1,369 1,337 253 285 306 76 1,291 47,83

91 79 181 500 186 80 100 67 67 507 17,33

3.5 297 2.2 779 4.2 172 5.3 100 2.3 281 1.4 277 2.1 232 2.1 197 2.1 371 8.8 28 2.5 243 2.5 110 5.8 1,440 2.9 403 6.4 29 2.1 8 1.4 294 5.0 78 2.6 217 2.7 12 1.5 149 2.0 104 2.2 93 2.2 677 2.7 442 3.5 193

4.2 4.6 3.1 5.0 4.7 6.1 4.2 3.3 4.5 5.4 4.92

3.1 1.8 1.4 0.7 0.6 1.1 0.9 1.0 1.3 0.4 1.3 1.0 2.5 1.2 0.4 0.5 1.3 1.0 1.3 0.9 1.3 0.8 1.2 1.7 1.1 1.2

1.5 1.8 2.1 1.8 0.7 1.9 1.5 0.7 4.0 2.1 1.88

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

9,454 43,000 12,160 13,752 43,942 25,321 24,577 20,066 29,714 7,185 19,441 10,732 56,862 33,594 8,022 1,497 22,318 7,612 16,205 1,459 11,927 13,607 7,922 39,244 41,559 16,183

6,217 4,357 8,802 27,364 28,411 4,177 6,733 9,167 1,684 23,763 975,87

MyrskyläMörskom Mäntsälä Nastola Nummi-Pusula Nurmijärvi Orimattila Padasjoki Pornainen Pukkila Renko Riihimäki Sammatti Sysmä Tammela Tuulos Tuusula Vihti Ypäjä

Kaakkois-Suomi Municipality 44 Elimäki 75 Hamina 142 Iitti 153 Imatra 163 Jaala 173 Joutseno 285 Kotka 286 Kouvola 306 Kuusankoski 405 Lappeenranta 416 Lemi 441 Luumäki 489 Miehikkälä 580 Parikkala

505 532 540 543 560 576 611 616 692 694 737 781 834 855 858 927 981 Total

504

Table 4a (continued)

243 485 404 156 169 315 217 30 61 638 144 471 287 597

395 151 270 47 235 241 137 90 109 64 101 205 215 214 88 61 62 7,601

88

1,900

1.3 1.1 1.0 1.6 0.5 1.6 1.2 1.4 0.9 1.2 0.9 0.8 0.9 1.4

3,637 7,952 8,013 1,872 6,110 3,500 3,879 576 1,498 10,339 3,059 9,324 5,376 11,200

1.2 4,342 0.7 5,209 0.9 6,183 0.3 3,581 0.7 7,581 0.5 6,902 1.6 1,520 1.2 1,504 0.6 2,964 1.0 1,275 2.3 1,071 0.4 9,562 0.5 6,795 1.8 2,004 0.8 2,347 0.2 5,132 0.8 1,104 0.8 164,611

0.7

18.7 18.2 20.3 19.6 17.6 17.4 21.6 27.2 21.9 19.3 19.3 15.9 16.9 26.6

13.0 23.0 20.9 20.1 21.8 15.5 17.8 20.2 15.7 19.0 23.9 18.3 15.5 16.7 22.2 16.0 13.9 17.6

15.4

Open regeneration site 1–20 years (ha) (%) (ha) (%)

3,665 10,454 8,946 2,449 8,627 5,001 3,838 522 1,681 12,206 3,444 13,558 8,946 12,347

5,234 4,691 6,007 3,195 6,969 7,640 1,364 1,479 3,647 1,054 930 10,331 7,739 2,015 1,722 6,210 884 180,307

2,286

18.9 23.9 22.7 25.6 24.8 24.8 21.4 24.6 24.6 22.7 21.8 23.1 28.2 29.4

3,403 7,518 6,698 1,613 5,535 3,551 2,859 360 1,213 9,247 2,701 11,336 6,069 5,205

15.7 6,537 20.7 2,569 20.3 6,298 17.9 3,576 20.0 4,400 17.2 7,050 16.0 1,668 19.8 1,194 19.3 2,499 15.7 1,249 20.8 838 19.8 10,287 17.7 7,780 16.8 2,540 16.3 2,439 19.4 6,354 11.2 1,713 19.3 162,902

18.5 1,878

2,006

17.5 17.2 17.0 16.9 15.9 17.6 15.9 17.0 17.7 17.2 17.1 19.3 19.1 12.4

2,973 6,245 5,637 1,496 5,130 3,261 2,746 232 947 8,689 2,523 10,016 4,573 5,092

19.6 7,190 11.3 3,931 21.3 4,072 20.1 3,627 12.6 5,124 15.9 9,169 19.6 1,444 16.0 1,017 13.2 4,151 18.6 1,338 18.7 528 19.7 11,375 17.8 8,811 21.2 2,654 23.1 1,757 19.9 6,011 21.6 1,645 17.4 181,815

15.2

2,236

15.3 14.3 14.3 15.6 14.8 16.2 15.3 10.9 13.8 16.2 16.0 17.0 14.4 12.1

2,691 5,301 4,756 1,248 4,173 2,832 2,182 209 760 7,356 2,302 8,123 3,367 4,449

21.6 5,152 17.3 3,007 13.8 3,831 20.3 2,133 14.7 5,277 20.6 6,994 16.9 1,194 13.6 1,099 22.0 3,192 19.9 1,105 11.8 533 21.8 5,548 20.1 7,335 22.1 1,103 16.7 1,176 18.8 4,346 20.8 1,406 19.4 126,140

16.2

1,276

10.3

101–120 years (ha) (%)

13.8 12.1 12.1 13.0 12.0 14.1 12.2 9.8 11.1 13.7 14.6 13.8 10.6 10.6

1,983 10.2 3,607 8.2 3,351 8.5 553 5.8 2,962 8.5 1,250 6.2 1,263 7.0 114 5.4 437 6.4 3,816 7.1 1,103 7.0 4,201 7.2 2,413 7.6 2,222 5.3

15.5 3,548 10.6 13.3 2,149 9.5 13.0 1,788 6.1 12.0 1,109 6.2 15.2 3,779 10.9 15.8 4,224 9.5 14.0 855 10.0 14.7 774 10.4 16.9 1,645 8.7 16.5 426 6.3 11.9 232 5.2 10.6 2,958 5.7 16.8 3,247 7.4 9.2 966 8.1 11.1 747 7.1 13.6 2,471 7.7 17.7 479 6.1 13.5 74,058 7.9

18.1

81–100 21–40 years 41–60 years 61–80 years years (ha) (%) (ha) (%) (ha) (%) (ha) (%)

514 1,359 958 110 1,406 264 517 55 153 1,011 393 1,230 615 496

761 618 802 308 939 1,114 256 261 472 148 205 1,149 1,281 320 199 691 609 26,504

466

2.6 3.1 2.4 1.2 4.0 1.3 2.9 2.6 2.2 1.9 2.5 2.1 1.9 1.2

2.3 2.7 2.7 1.7 2.7 2.5 3.0 3.5 2.5 2.2 4.6 2.2 2.9 2.7 1.9 2.2 7.7 2.8

121–140 years (ha) (%) 3.8

330 848 699 67 664 174 429 25 98 407 154 505 140 425

173 348 307 258 498 1,086 85 45 200 60 38 819 574 182 78 732 23 12,961

229

1.7 1.9 1.8 0.7 1.9 0.9 2.4 1.2 1.4 0.8 1.0 0.9 0.4 1.0

0.5 1.5 1.0 1.5 1.4 2.4 1.0 0.6 1.1 0.9 0.9 1.6 1.3 1.5 0.7 2.3 0.3 1.4

19,440 43,769 39,462 9,564 34,776 20,147 17,930 2,121 6,847 53,707 15,824 58,765 31,786 42,033

33,332 22,673 29,559 17,836 34,803 44,419 8,523 7,463 18,879 6,719 4,475 52,235 43,777 11,998 10,554 32,009 7,925 936,899

1.9 12,366

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0

Forest land 141+ years total (ha) (%) (ha) (%)

Pyhtää-Pyttis Rautjärvi Ruokolahti Savitaipale Anjalankoski Suomenniemi Taipalsaari Valkeala Virolahti Ylämaa

Pirkanmaa Municipality 20 Akaa 108 Hämeenkyrö 143 Ikaalinen 177 Juupajoki 211 Kangasala 250 Kihniö 289 Kuhmalahti 303 Kuru 310 Kylmäkoski 418 Lempäälä 493 Mouhijärvi 506 Mänttä 536 Nokia 562 Orivesi 581 Parkano 604 Pirkkala 619 Punkalaidun 635 Pälkäne 702 Ruovesi 837 Tampere 887 Urjala 908 Valkeakoski 912 Vammala 922 Vesilahti 933 Vilppula 936 Virrat 980 Ylöjärvi 988 Äetsä Total

624 689 700 739 754 775 831 909 935 978 Total

78 271 799 252 356 195 121 501 136 174 178 26 195 651 741 55 288 240 608 337 318 166 665 275 410 976 329 275 9,617

204 381 756 175 461 224 237 447 383 303 7,787

1.4 1,218 0.9 5,098 1.4 8,361 1.3 3,341 1.0 6,435 0.7 2,330 0.9 1,927 0.8 6,827 1.2 1,897 0.9 3,203 1.0 3,069 0.6 761 0.9 3,722 1.1 10,684 1.2 7,813 1.0 1,101 1.5 2,513 0.6 5,919 1.0 8,077 0.9 5,743 1.0 4,983 1.0 3,239 1.2 9,343 1.3 3,433 1.1 5,784 1.1 12,996 1.1 4,847 1.7 2,999 1.1 137,663

1.0 3,682 1.4 5,640 1.0 13,276 0.4 6,186 1.0 8,400 0.9 4,116 0.9 4,258 0.7 11,163 1.5 5,605 1.0 5,065 1.0 143,726

22.2 16.0 15.0 16.6 18.3 8.7 14.9 11.5 16.3 16.9 17.3 16.5 18.0 17.2 12.4 20.2 13.3 14.1 13.0 15.4 16.0 18.5 16.6 16.0 15.2 14.2 16.7 18.6 15.1

18.1 20.1 16.9 14.8 17.5 17.0 15.4 17.6 21.2 16.6 18.3

1,196 7,397 11,849 3,732 7,782 5,717 2,709 12,925 2,268 4,187 4,440 955 4,973 12,930 12,441 1,248 2,734 8,107 11,950 8,204 5,796 3,717 13,174 3,859 7,368 19,339 6,640 3,920 191,559

4,302 7,169 21,065 10,376 11,260 5,970 6,922 15,696 7,296 8,624 194,366

21.8 1,078 23.3 6,321 21.3 10,512 18.6 3,744 22.1 6,844 21.2 5,806 20.9 2,551 21.8 11,857 19.5 2,236 22.2 3,769 25.0 3,301 20.7 933 24.0 3,868 20.8 11,723 19.7 11,830 22.8 1,041 14.5 3,375 19.3 8,811 19.3 12,266 22.1 6,978 18.6 5,777 21.3 3,630 23.4 10,150 18.0 3,647 19.4 7,081 21.2 17,496 22.8 5,294 24.3 2,752 21.0 174,671

21.2 3,507 25.6 4,334 26.7 13,832 24.8 7,151 23.4 8,666 24.6 3,086 25.1 4,579 24.7 11,222 27.6 4,325 28.3 5,858 24.8 133,867

19.6 805 19.9 4,914 18.9 8,707 18.6 3,477 19.5 5,598 21.5 4,704 19.7 2,291 20.0 9,513 19.2 2,112 19.9 2,993 18.6 2,512 20.2 790 18.7 2,924 18.9 9,867 18.7 10,671 19.1 786 17.9 3,520 21.0 8,524 19.8 10,464 18.8 5,974 18.6 6,032 20.8 2,995 18.0 8,395 17.0 3,641 18.6 6,359 19.2 14,210 18.2 4,467 17.0 2,197 19.1 149,443

17.3 3,640 15.5 4,201 17.6 10,941 17.1 5,867 18.0 7,341 12.7 3,078 16.6 4,368 17.7 9,454 16.4 3,316 19.2 4,590 17.0 116,357

14.6 590 15.5 3,959 15.7 7,118 17.3 2,706 15.9 3,765 17.5 3,219 17.7 1,621 16.0 8,051 18.2 1,551 15.8 2,268 14.1 2,104 17.1 587 14.1 2,577 15.9 7,620 16.9 8,379 14.4 661 18.6 3,279 20.3 5,071 16.9 8,703 16.1 4,673 19.4 4,297 17.2 1,888 14.9 6,890 17.0 3,081 16.7 5,260 15.6 10,521 15.4 3,569 13.6 1,886 16.4 115,894

17.9 2,725 15.0 3,738 13.9 10,480 14.0 6,655 15.3 5,862 12.7 4,131 15.8 4,129 14.9 7,874 12.6 2,679 15.1 3,145 14.8 101,167

10.7 337 6.1 12.5 2,322 7.3 12.8 4,520 8.1 13.5 1,698 8.4 10.7 2,881 8.2 12.0 2,791 10.4 12.5 1,115 8.6 13.6 5,583 9.4 13.3 887 7.6 12.0 1,581 8.4 11.8 1,270 7.1 12.7 352 7.6 12.4 1,540 7.4 12.3 5,517 8.9 13.3 6,575 10.4 12.1 372 6.8 17.3 1,915 10.1 12.1 3,474 8.3 14.0 5,678 9.2 12.6 3,258 8.8 13.8 2,313 7.4 10.8 1,259 7.2 12.3 4,382 7.8 14.4 2,167 10.1 13.8 3,509 9.2 11.5 8,980 9.8 12.3 2,371 8.2 11.7 1,156 7.2 12.7 79,803 8.7

13.4 1,164 5.7 13.4 1,785 6.4 13.3 5,910 7.5 15.9 3,720 8.9 12.2 3,702 7.7 17.0 2,736 11.3 15.0 2,087 7.6 12.4 4,750 7.5 10.1 1,917 7.3 10.3 2,252 7.4 12.9 59,297 7.6

136 1,110 2,717 777 1,118 1,199 493 2,753 374 558 692 138 689 2,245 3,111 158 1,167 1,418 2,825 1,449 1,115 413 2,518 1,018 1,471 4,287 1,167 762 37,877

701 473 1,567 1,304 1,539 709 618 1,882 650 502 19,024

2.5 3.5 4.9 3.9 3.2 4.5 3.8 4.6 3.2 3.0 3.9 3.0 3.3 3.6 4.9 2.9 6.2 3.4 4.6 3.9 3.6 2.4 4.5 4.8 3.9 4.7 4.0 4.7 4.2

3.5 1.7 2.0 3.1 3.2 2.9 2.2 3.0 2.5 1.7 2.4

59 385 1,067 392 387 989 143 1,298 175 169 220 75 239 942 1,616 43 122 394 1,433 570 469 162 751 314 794 2,442 407 201 16,260

405 283 958 384 829 203 423 1,029 238 104 9,821

1.1 1.2 1.9 2.0 1.1 3.7 1.1 2.2 1.5 0.9 1.2 1.6 1.2 1.5 2.6 0.8 0.7 0.9 2.3 1.5 1.5 0.9 1.3 1.5 2.1 2.7 1.4 1.3 1.8

2.0 1.0 1.2 0.9 1.7 0.8 1.5 1.6 0.9 0.3 1.3

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

5,498 31,776 55,650 20,120 35,165 26,950 12,971 59,309 11,637 18,902 17,786 4,617 20,725 62,179 63,177 5,466 18,914 41,958 62,002 37,188 31,101 17,468 56,268 21,435 38,037 91,247 29,092 16,149 912,787

20,329 28,004 78,786 41,818 48,060 24,254 27,621 63,518 26,409 30,442 785,412

2.1 1.1 1.2 1.4 0.4 0.6 2.3 0.7 2.1 1.3 1.2

Etelä-Pohjanmaa Municipality 4 Alahärmä 5 Alajärvi 10 Alavus 52 Evijärvi 74 Halsua 95 Himanka 145 Ilmajoki 151 Isojoki 152 Isokyrö 164 Jalasjärvi 175 Jurva

395 566 627 346 116 98 815 323 401 656 372

1.8 1.1 1.1 1.6 1.6 1.8 1.8 1.6 1.5 1.2 1.6 1.9 0.9 1.8 1.3 1.3 1.8 1.6 1.5

3,805 6,427 6,622 4,415 2,891 2,265 4,585 4,071 3,181 6,689 4,496

6,798 22,259 8,619 10,170 19,191 18,579 11,360 29,308 20,117 8,046 29,701 9,598 11,568 12,215 9,759 15,114 7,036 11,193 260,632

20.2 12.6 12.5 17.8 10.5 13.6 13.2 8.7 16.7 13.2 14.4

3,656 9,458 9,722 4,898 6,921 2,965 5,516 9,897 3,895 9,270 4,816

3,518 14,324 5,246 6,593 15,142 12,252 6,558 20,390 11,372 4,064 16,857 6,112 9,141 6,587 7,145 10,273 4,330 7,714 167,619

12.3 15.1 13.1 14.3 15.3 13.4 13.3 14.4 13.4 12.7 12.6 14.2 12.9 14.3 14.7 14.5 12.5 15.2 13.9

19.4 2,965 15.7 18.6 10,311 20.3 18.3 10,129 19.1 19.8 3,589 14.5 25.1 8,974 32.5 17.8 3,045 18.3 15.8 4,312 12.4 21.2 7,451 15.9 20.4 3,037 15.9 18.4 9,380 18.6 15.4 3,893 12.5

24.2 29.1 25.0 21.9 22.4 22.3 25.9 22.7 27.0 23.6 23.1 22.9 27.7 23.9 24.9 28.2 29.7 26.7 24.9

2,261 8,991 9,329 4,606 4,057 3,078 4,821 7,960 2,494 7,718 5,810

3,802 9,407 5,716 6,975 16,255 13,497 6,812 21,466 9,657 5,461 18,783 5,770 11,423 5,880 6,887 9,904 4,210 7,097 169,002

12.0 17.7 17.6 18.6 14.7 18.5 13.8 17.0 13.1 15.3 18.6

13.3 9.9 14.3 15.2 16.5 14.8 13.8 15.1 11.4 17.1 14.0 13.4 16.1 12.7 14.2 14.0 12.1 14.0 14.0

21–40 years 41–60 years 61–80 years (ha) (%) (ha) (%) (ha) (%)

23.8 6,908 23.5 27,578 21.5 10,027 22.1 10,080 19.4 22,155 20.3 20,369 23.0 12,838 20.7 32,145 23.8 22,863 25.2 7,540 22.2 30,967 22.3 9,873 16.3 19,682 26.5 11,018 20.1 12,088 21.4 19,918 20.3 10,302 22.0 13,570 21.6 299,919

Open regeneration site 1–20 years (ha) (%) (ha) (%)

Etelä-Savo Municipality 46 Enonkoski 515 90 Heinävesi 1,045 97 Hirvensalmi 451 171 Joroinen 722 178 Juva 1,573 213 Kangasniemi 1,665 246 Kerimäki 870 491 Mikkeli 2,208 507 Mäntyharju 1,242 588 Pertunmaa 392 593 Pieksämäki 2,196 618 Punkaharju 825 623 Puumala 670 681 Rantasalmi 844 696 Ristiina 645 740 Savonlinna 887 741 Savonranta 616 768 Sulkava 824 Total 18,189

Table 4a (continued)

2,566 7,027 7,053 2,820 2,094 2,476 6,725 7,864 2,553 7,312 5,380

3,082 10,828 6,007 6,209 13,508 14,194 5,999 21,233 10,261 4,232 18,209 5,243 11,451 5,549 7,137 8,102 4,067 5,337 160,647

13.6 13.8 13.3 11.4 7.6 14.9 19.3 16.8 13.4 14.5 17.2

2,087 5,261 6,383 2,223 1,222 1,761 4,301 5,771 1,549 5,425 4,345

11.1 10.4 12.0 9.0 4.4 10.6 12.3 12.3 8.1 10.7 13.9

7.0 5.6 7.3 7.5 7.5 7.8 7.4 7.3 7.2 5.6 8.0 9.8 6.3 5.9 7.0 6.1 5.9 7.1 7.1

101–120 years (ha) (%)

10.8 2,009 11.4 5,288 15.0 2,912 13.5 3,435 13.7 7,356 15.5 7,075 12.1 3,644 15.0 10,373 12.1 6,066 13.2 1,774 13.6 10,673 12.2 4,202 16.1 4,504 12.0 2,705 14.7 3,393 11.5 4,324 11.7 2,053 10.5 3,605 13.3 85,390

81–100 years (ha) (%)

914 2,250 2,691 1,523 759 728 3,413 2,875 1,425 3,389 1,655

1,142 1,929 712 1,323 2,544 2,820 971 3,683 2,136 371 4,781 864 1,573 972 1,059 1,642 1,076 1,012 30,611

4.8 4.4 5.1 6.2 2.8 4.4 9.8 6.2 7.5 6.7 5.3

4.0 2.0 1.8 2.9 2.6 3.1 2.0 2.6 2.5 1.2 3.6 2.0 2.2 2.1 2.2 2.3 3.1 2.0 2.5

121–140 years (ha) (%)

221 557 613 356 580 229 370 559 526 690 455

783 2,193 431 465 1,027 886 444 963 919 73 1,714 578 1,024 409 432 475 1,021 426 14,263

1.2 1.1 1.2 1.4 2.1 1.4 1.1 1.2 2.8 1.4 1.5

18,868 50,848 53,169 24,776 27,614 16,645 34,858 46,773 19,061 50,529 31,221

2.7 28,556 2.3 94,851 1.1 40,121 1.0 45,972 1.0 98,751 1.0 91,338 0.9 49,494 0.7 141,769 1.1 84,632 0.2 31,954 1.3 133,880 1.3 43,065 1.4 71,036 0.9 46,178 0.9 48,545 0.7 70,641 2.9 34,710 0.8 50,778 1.2 1,206,273

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

Forest land 141+ years total (ha) (%) (ha) (%)

0.7 1.3 1.2 1.5 0.8 1.6 1.3 2.6 0.6 1.7 1.2 1.3 1.1 0.9 1.3 1.8 0.2 1.6 1.0 1.4 0.7 1.4 0.7 1.0 1.3 1.8 1.8 2.5 1.2 1.2

2.0 1.3 1.2 1.9 1.5 1.7 1.7 1.2

Keski-Suomi Municipality 77 Hankasalmi 913 172 Joutsa 511 179 Jyväskylä 82 180 Jyväskylän mlk 660 182 Jämsä 1,402 183 Jämsänkoski 569 216 Kannonkoski 662 226 Karstula 862

Kannus Karijoki Kauhajoki Kauhava Kaustinen Kortesjärvi Kuortane Kurikka Kälviä Laihia Lappajärvi Lapua Lehtimäki Lestijärvi Lohtaja Nurmo Perho Seinäjoki Soini Teuva Toholampi Töysä Ullava Veteli Vimpeli Vähäkyrö Ylihärmä Ylistaro Ähtäri

202 155 1,013 429 174 349 412 699 290 543 345 535 190 299 374 425 103 561 402 486 263 294 70 312 235 159 125 697 748 15,604

217 218 232 233 236 281 300 301 315 399 403 408 414 421 429 544 584 743 759 846 849 863 885 924 934 942 971 975 989 Total

9,531 8,652 1,671 7,460 17,972 7,882 7,622 12,372

4,092 1,510 10,592 4,679 2,971 3,993 4,616 4,315 5,669 5,013 3,620 5,877 2,374 4,252 4,826 3,501 6,842 4,699 4,702 4,884 4,466 2,956 1,048 3,749 2,263 2,245 1,269 4,341 9,839 174,651

20.7 21.3 23.7 21.0 18.8 23.2 19.5 17.5

10,077 10,888 1,802 8,419 20,143 7,856 10,709 20,451

14.5 5,340 12.5 2,338 12.8 20,934 16.4 5,499 12.8 5,302 18.0 4,527 14.6 5,563 15.8 4,268 12.6 9,799 15.4 6,064 12.6 5,409 13.8 8,368 13.1 2,648 12.8 7,100 16.7 6,004 15.1 4,086 12.9 16,455 13.5 6,699 11.6 7,964 13.6 6,004 12.4 7,086 13.9 4,022 9.8 2,017 11.4 6,700 12.0 3,891 25.2 1,614 18.6 1,134 15.6 5,662 15.4 13,568 13.7 257,080

5,474 1,598 14,299 3,767 4,499 3,214 3,788 3,547 8,350 4,679 4,733 6,387 2,707 7,714 4,604 3,502 17,857 6,905 8,491 4,499 7,593 2,950 2,327 7,306 4,195 819 1,183 3,728 10,580 228,377

19.4 5,171 13.2 1,918 17.3 12,215 13.2 5,208 19.4 4,522 14.5 3,578 12.0 5,528 13.0 3,812 18.5 7,980 14.4 5,193 16.5 6,244 14.9 7,562 15.0 3,386 23.2 5,849 15.9 4,377 15.1 4,220 33.7 4,602 19.9 5,698 20.9 7,467 12.5 6,546 21.0 7,576 13.8 3,496 21.7 2,378 22.3 7,291 22.2 3,702 9.2 1,162 17.4 734 13.4 3,403 16.5 10,405 17.9 212,344

21.8 5,430 11.8 7,829 26.8 5,351 13.2 6,409 25.5 876 12.4 1,033 23.7 4,558 12.8 5,559 21.0 15,095 15.8 15,912 23.1 4,775 14.0 4,916 27.4 5,841 15.0 5,165 28.9 13,101 18.5 9,794

18.9 19.3 25.3 19.3 22.9 20.4 17.6 15.7 21.7 18.6 18.8 19.6 14.7 21.4 20.8 17.6 31.1 19.3 19.6 16.7 19.6 18.9 18.8 20.4 20.6 18.1 16.6 20.4 21.2 20.2

17.0 7,517 16.3 15.8 6,079 14.9 14.6 941 13.3 15.7 5,234 14.7 16.6 13,821 14.4 14.4 4,611 13.5 13.2 4,248 10.9 13.8 6,725 9.5

3,363 1,852 416 2,294 6,834 2,120 2,882 4,452

18.3 4,473 15.8 2,240 15.9 1,886 15.6 1,684 14.8 10,088 12.2 7,518 18.3 4,138 14.5 2,545 19.5 2,943 12.7 1,551 16.1 3,099 14.0 1,821 17.5 4,756 15.1 4,183 14.0 4,463 16.4 3,611 17.7 6,266 13.9 3,975 15.9 4,994 15.3 3,860 21.7 4,097 14.2 2,530 17.7 5,687 13.3 4,511 18.7 3,224 17.8 2,623 17.6 3,472 10.5 2,097 15.1 4,439 15.4 2,630 18.2 3,057 13.2 2,386 8.7 3,560 6.7 2,227 16.4 4,480 12.9 3,177 18.4 5,218 12.9 4,378 18.2 6,233 17.4 4,622 21.0 4,529 12.5 2,884 16.4 3,362 15.8 2,515 22.1 1,382 12.9 800 22.2 3,519 10.7 1,866 19.6 2,038 10.8 1,452 13.1 1,061 11.9 1,011 10.8 929 13.6 863 12.2 4,489 16.2 2,642 16.3 8,892 13.9 5,799 16.7 174,642 13.7 124,331

7.3 4.6 5.9 6.5 7.1 6.2 7.4 6.3

7.9 13.9 9.1 8.9 6.7 8.2 13.2 13.2 8.8 11.8 8.8 10.6 14.5 6.3 9.1 10.3 4.2 9.2 10.8 12.9 8.0 11.8 7.5 5.7 7.7 11.4 12.7 9.5 9.1 9.8

918 545 149 851 2,840 832 1,285 1,811

1,026 719 5,112 1,745 910 1,293 2,164 2,093 1,789 1,550 1,328 3,098 756 1,389 1,294 1,666 708 2,090 1,478 1,924 1,035 1,320 471 1,709 880 415 463 2,093 3,142 67,282

2.0 1.3 2.1 2.4 3.0 2.4 3.3 2.6

3.6 5.9 6.2 6.1 3.9 5.8 6.9 7.7 4.0 4.8 4.6 7.3 4.2 4.2 4.5 7.2 1.3 6.0 3.6 5.4 2.9 6.2 4.4 5.2 4.7 4.7 6.8 7.5 4.9 5.3

555 396 91 476 1,815 477 643 1,236

277 291 874 491 330 332 578 472 968 699 464 731 162 1,030 356 345 643 385 469 680 699 400 246 340 213 413 121 749 1,022 19,937

1.2 1.0 1.3 1.3 1.9 1.4 1.6 1.7

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

46,133 40,684 7,060 35,511 95,834 34,037 39,056 70,804

1.0 28,294 2.4 12,098 1.1 82,645 1.7 28,501 1.4 23,201 1.5 22,206 1.8 31,586 1.7 27,280 2.2 45,085 2.2 32,596 1.6 28,770 1.7 42,756 0.9 18,070 3.1 33,203 1.2 28,904 1.5 23,187 1.2 52,997 1.1 34,695 1.2 40,570 1.9 35,878 1.9 36,130 1.9 21,314 2.3 10,740 1.0 32,791 1.1 18,871 4.6 8,897 1.8 6,822 2.7 27,805 1.6 63,995 1.6 1,274,246

Keuruu Kinnula Kivijärvi Konnevesi Korpilahti Kuhmoinen Kyyjärvi Laukaa Leivonmäki Luhanka Multia Muurame Petäjävesi Pihtipudas Pylkönmäki Saarijärvi Toivakka Uurainen Viitasaari Äänekoski

Pohjois-Savo Municipality 140 Iisalmi 174 Juankoski 204 Kaavi 227 Karttula 239 Keitele 263 Kiuruvesi 297 Kuopio 402 Lapinlahti 420 Leppävirta 476 Maaninka

249 256 265 275 277 291 312 410 415 435 495 500 592 601 633 729 850 892 931 992 Total

1,351 715 870 600 696 1,242 1,397 850 1,201 547

2.4 2.0 1.5 1.5 1.7 1.2 1.5 1.8 1.3 1.6

13,701 8,656 10,669 9,158 8,088 21,092 20,135 9,793 17,456 7,296

22,463 8,129 7,972 9,849 11,668 11,289 5,249 10,417 5,534 3,976 12,121 2,830 8,968 16,528 5,853 15,708 6,219 5,986 25,177 14,750 283,847

24.3 23.7 18.3 22.8 20.2 21.1 22.0 20.9 18.2 21.0

13,329 8,557 13,277 9,515 9,306 24,901 21,531 11,306 22,545 7,758

23.7 23.4 22.7 23.7 23.2 24.9 23.5 24.1 23.5 22.3

7,648 4,179 7,920 4,723 5,718 17,046 9,800 6,395 11,089 4,315

24.5 16,484 26.7 6,869 27.0 6,818 22.7 5,010 23.9 6,400 21.9 7,330 27.8 6,361 23.4 6,033 21.3 4,802 26.9 2,372 25.8 10,846 24.5 1,351 22.6 5,688 27.8 14,383 26.0 5,128 24.8 10,112 24.2 3,888 22.2 4,456 24.6 13,713 25.1 9,655 24.7 202,725

13.6 11.4 13.6 11.8 14.2 17.0 10.7 13.7 11.6 12.4

7,469 5,420 9,762 6,239 6,100 16,472 14,676 7,026 15,778 5,658

15.3 15,225 18.2 4,909 16.5 5,537 11.5 6,823 12.3 8,006 12.9 9,430 19.9 4,373 12.2 7,443 15.2 5,505 13.2 2,692 17.1 9,448 11.6 1,686 14.5 5,632 16.3 12,528 17.1 4,226 13.7 10,431 12.8 4,748 15.1 4,317 12.8 13,630 13.2 10,134 14.6 203,340

13.3 14.8 16.7 15.5 15.2 16.5 16.0 15.0 16.5 16.3

7,244 5,227 9,875 5,736 5,457 11,381 14,187 6,506 17,101 5,170

12.9 14.3 16.9 14.3 13.6 11.4 15.5 13.9 17.8 14.9

3,736 2,754 4,346 3,015 3,009 4,989 6,897 3,469 7,489 2,866

6.6 7.5 7.4 7.5 7.5 5.0 7.5 7.4 7.8 8.2

7.1 5.4 7.1 7.4 5.8 7.2 6.6 7.0 6.4 4.7 6.2 6.1 6.2 6.4 6.4 7.3 6.5 7.0 7.8 7.9 6.8

101–120 years (ha) (%)

11.9 7,642 9.1 2,057 9.6 2,922 14.4 3,252 14.8 3,017 15.6 4,117 9.5 2,105 15.0 3,475 16.5 2,020 13.6 854 11.0 3,952 13.7 712 13.6 2,424 10.8 5,614 10.3 1,909 12.5 5,385 14.6 1,967 14.5 2,057 12.1 8,297 13.8 5,798 12.8 93,786

81–100 years (ha) (%)

14.2 12,782 13.0 3,440 13.4 3,946 15.6 6,272 15.4 7,673 16.6 8,855 13.7 3,044 15.1 7,395 17.4 5,215 15.0 2,447 14.9 6,965 14.5 1,593 14.4 5,317 14.2 9,514 14.1 3,092 14.2 9,207 15.6 4,447 14.6 4,296 12.8 12,919 13.9 10,066 14.7 177,663

21–40 years 41–60 years 61–80 years (ha) (%) (ha) (%) (ha) (%)

20.9 26,363 21.5 10,090 19.3 11,126 22.6 9,892 22.5 12,412 19.8 12,438 16.4 8,890 21.1 11,546 17.5 6,741 22.1 4,836 19.1 16,379 24.4 2,843 22.9 8,851 18.7 24,530 19.6 7,784 21.3 18,281 20.5 7,335 20.3 6,564 23.6 26,272 20.2 18,315 20.5 341,834

Open regeneration site 1–20 years (ha) (%) (ha) (%)

1,854 1.7 637 1.7 723 1.8 982 2.3 868 1.7 719 1.3 393 1.2 1,178 2.4 660 2.1 277 1.5 1,258 2.0 192 1.7 777 2.0 1,061 1.2 612 2.0 1,337 1.8 624 2.1 688 2.3 1,812 1.7 1,426 2.0 23,738 1.7

Table 4a (continued)

1,113 617 960 825 1,245 1,842 1,925 912 2,169 769

3,013 1,098 1,389 1,005 1,163 1,591 1,013 1,208 707 324 1,503 261 938 2,844 792 2,065 738 805 3,273 1,932 36,893

2.0 1.7 1.6 2.1 3.1 1.8 2.1 1.9 2.3 2.2

2.8 2.9 3.4 2.3 2.2 2.8 3.2 2.4 2.2 1.8 2.4 2.2 2.4 3.2 2.6 2.8 2.4 2.7 3.1 2.6 2.7

121–140 years (ha) (%)

Forest land total (ha) (%)

722 428 718 363 509 1,082 947 570 1,045 397

1.3 1.2 1.2 0.9 1.3 1.1 1.0 1.2 1.1 1.1

56,313 36,552 58,399 40,174 40,129 100,047 91,494 46,826 95,872 34,778

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

1,620 1.5 107,448 100.0 615 1.6 37,842 100.0 833 2.0 41,265 100.0 572 1.3 43,657 100.0 671 1.3 51,878 100.0 1,134 2.0 56,902 100.0 588 1.8 32,016 100.0 615 1.2 49,309 100.0 444 1.4 31,627 100.0 211 1.2 17,989 100.0 1,096 1.7 63,567 100.0 146 1.3 11,614 100.0 527 1.3 39,121 100.0 1,386 1.6 88,388 100.0 539 1.8 29,935 100.0 1,102 1.5 73,629 100.0 399 1.3 30,365 100.0 372 1.3 29,541 100.0 1,708 1.6 106,801 100.0 939 1.3 73,017 100.0 21,205 1.5 1,385,031 100.0

141+ years (ha) (%)

879 1,220 1,794 968

Kainuu Municipality 105 Hyrynsalmi 205 Kajaani 290 Kuhmo 578 Paltamo

1,105 1,577 949 2,092 588 2,872 1,324 488 736 826 852 629 1,312 24,817

1,482 641 1,290 1,288 444 1,282 702 183 2,417 701 1,649 653 115 636 948 560 14,992

Nilsiä Pielavesi Rautalampi Rautavaara Siilinjärvi Sonkajärvi Suonenjoki Tervo Tuusniemi Varkaus Varpaisjärvi Vesanto Vieremä

Pohjois-Karjala Municipality 45 Eno 146 Ilomantsi 167 Joensuu 176 Juuka 248 Kesälahti 260 Kitee 276 Kontiolahti 309 Outokumpu 422 Lieksa 426 Liperi 541 Nurmes 607 Polvijärvi 632 Pyhäselkä 707 Rääkkylä 848 Tohmajärvi 911 Valtimo Total

534 595 686 687 749 762 778 844 857 915 916 921 925 Total

0.7 0.8 0.4 1.2

19,980 24,143 65,561 14,368

1.8 20,342 0.3 37,026 1.3 22,881 1.0 21,754 1.4 7,109 1.8 18,174 1.1 14,922 0.5 6,408 0.8 51,050 1.3 13,507 1.2 25,651 1.0 12,165 0.5 6,310 1.9 7,409 1.4 15,293 0.8 15,705 1.0 295,704

2.0 12,572 1.7 19,489 2.1 10,948 2.2 15,745 2.1 7,559 2.4 23,311 2.2 11,869 1.7 7,208 1.6 11,850 2.6 6,955 2.2 8,337 1.8 8,351 1.8 15,721 1.8 285,958

16.8 16.3 16.1 18.0

27,898 25,525 93,563 15,929

24.8 18,883 16.7 50,268 22.8 25,778 16.8 26,949 21.6 9,409 25.9 17,480 22.4 16,501 18.0 9,692 17.4 70,483 24.0 15,978 18.6 32,813 19.1 15,440 29.8 5,515 21.6 8,017 22.5 17,886 23.1 15,386 20.0 356,479

22.4 13,645 20.6 22,200 24.3 10,699 16.5 24,964 27.0 6,181 19.2 30,322 19.6 12,426 24.8 6,973 25.9 10,619 21.9 7,800 21.6 8,831 23.9 8,408 21.3 19,291 21.1 324,383

23.4 17.3 23.0 19.9

24,943 38,166 84,703 17,617

23.0 12,306 22.6 48,935 25.6 13,243 20.8 29,941 28.6 4,220 24.9 9,769 24.7 9,391 27.2 6,559 24.1 55,183 28.4 9,495 23.8 28,573 24.3 14,211 26.0 2,667 23.4 6,556 26.3 11,487 22.6 14,648 24.1 277,185

24.3 7,011 23.5 13,328 23.8 5,413 26.2 15,886 22.1 3,033 25.0 19,922 20.6 7,245 24.0 3,491 23.2 4,913 24.6 4,031 22.9 5,313 24.1 4,130 26.1 12,297 23.9 184,845

20.9 25.8 20.8 22.1

13,985 24,475 50,257 11,696

15.0 7,515 22.0 35,198 13.2 11,909 23.1 18,293 12.8 4,156 13.9 8,390 14.1 8,647 18.4 3,134 18.8 43,179 16.9 6,029 20.7 17,620 22.3 7,646 12.6 3,470 19.2 4,677 16.9 7,701 21.5 8,466 18.7 196,030

12.5 8,439 14.1 14,655 12.0 6,349 16.7 16,267 10.8 3,925 16.4 20,383 12.0 10,236 12.0 4,145 10.7 6,495 12.7 4,465 13.8 5,785 11.8 4,891 16.7 10,893 13.6 211,529

11.7 16.6 12.4 14.6

8,471 12,617 30,461 7,081

9.2 12,013 15.9 27,705 11.9 15,521 14.1 16,023 12.7 4,541 11.9 7,063 13.0 9,504 8.8 4,420 14.7 32,524 10.7 5,468 12.8 12,493 12.0 7,464 16.4 1,912 13.7 3,538 11.3 8,163 12.4 5,770 13.2 174,122

15.0 7,511 15.5 12,993 14.1 6,026 17.1 11,087 14.0 3,857 16.8 13,637 16.9 10,348 14.3 3,656 14.2 6,792 14.1 4,320 15.0 5,344 14.0 4,531 14.8 7,939 15.6 185,925

7.7 7.3 6.8 6.8 7.2 6.1 8.1 7.2 6.2 7.2 7.5 7.3 5.5 7.0

7.1 6,037 5.1 8.5 10,392 7.0 7.5 18,669 4.6 8.9 4,889 6.1

14.7 5,866 7.2 12.5 11,027 5.0 15.4 6,638 6.6 12.4 7,867 6.1 13.8 2,191 6.7 10.1 5,291 7.5 14.3 4,257 6.4 12.4 2,996 8.4 11.1 16,220 5.5 9.7 3,414 6.1 9.1 8,862 6.4 11.7 3,953 6.2 9.0 652 3.1 10.3 2,408 7.0 12.0 4,252 6.3 8.5 4,042 5.9 11.8 89,937 6.1

13.4 4,311 13.7 6,940 13.4 3,052 11.6 6,465 13.8 2,008 11.2 7,383 17.1 4,865 12.6 2,085 14.9 2,857 13.6 2,292 13.8 2,893 13.0 2,555 10.8 4,029 13.7 94,306

6,041 5,653 24,504 3,972

2,272 5,262 2,292 4,936 580 2,040 1,663 1,581 8,199 1,302 4,718 1,814 413 720 1,343 1,845 40,980

988 2,145 963 1,834 504 2,191 1,427 619 900 791 790 930 1,399 27,856

5.1 3.8 6.0 5.0

2.8 2.4 2.3 3.8 1.8 2.9 2.5 4.4 2.8 2.3 3.4 2.9 2.0 2.1 2.0 2.7 2.8

1.8 2.3 2.1 1.9 1.8 1.8 2.4 2.1 2.0 2.5 2.0 2.7 1.9 2.1

10,871 5,717 37,118 3,353

1,294 6,023 973 2,599 207 794 1,104 643 13,846 289 5,700 311 145 281 900 1,642 36,750

557 1,281 568 942 327 1,365 697 373 554 288 449 474 910 15,565

9.1 3.9 9.1 4.2

100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

119,104 147,909 406,629 79,873

1.6 81,974 2.7 222,086 1.0 100,525 2.0 129,651 0.6 32,857 1.1 70,282 1.7 66,689 1.8 35,615 4.7 293,102 0.5 56,182 4.1 138,077 0.5 63,658 0.7 21,200 0.8 34,242 1.3 67,974 2.4 68,064 2.5 1,482,179

1.0 56,139 1.4 94,608 1.3 44,966 1.0 95,281 1.2 27,982 1.1 121,388 1.2 60,436 1.3 29,038 1.2 45,716 0.9 31,767 1.2 38,593 1.4 34,898 1.2 73,791 1.1 1,355,185

Puolanka Ristijärvi Sotkamo Suomussalmi Vaala

Pohjois-Pohjanmaa Municipality 9 Alavieska 69 Haapajärvi 71 Haapavesi 72 Hailuoto 84 Haukipudas 139 Ii 208 Kalajoki 244 Kempele 247 Kestilä 255 Kiiminki 305 Kuusamo 317 Kärsämäki 425 Liminka 436 Lumijoki 483 Merijärvi 494 Muhos 535 Nivala 563 Oulainen 564 Oulu 567 Oulunsalo 603 Piippola 615 Pudasjärvi 617 Pulkkila 625 Pyhäjoki

620 697 765 777 785 Total

Table 4a (continued)

342 880 1,431 379 532 1,138 1,262 81 219 251 4,370 530 214 176 328 741 787 1,391 229 148 338 3,428 308 984

1,785 581 2,110 2,195 506 12,040

37,138 13,326 40,496 83,636 11,886 310,535

2,273 10,038 8,379 2,389 4,403 15,351 8,220 1,173 4,511 3,668 69,479 7,091 5,740 2,491 2,233 5,834 3,934 4,602 2,861 1,506 4,111 62,858 3,004 6,896

14.2 17.4 11.2 17.1 14.4 14.2 17.5 16.6 10.8 15.7 19.6 13.8 16.0 19.2 12.6 12.2 13.0 10.3 14.5 14.1 11.7 17.0 10.4 16.5

2,774 11,526 16,504 2,524 6,014 23,595 8,624 1,522 10,163 4,689 43,766 12,135 10,304 3,374 2,995 11,476 5,063 8,407 3,789 2,288 8,447 79,025 6,657 7,771

19.9 38,572 25.6 15,209 23.5 52,995 20.9 71,224 10.7 25,229 21.1 368,657

17.3 20.0 22.1 18.1 19.7 21.9 18.4 21.6 24.4 20.1 12.3 23.5 28.6 26.1 16.9 24.0 16.7 18.8 19.1 21.5 24.1 21.4 23.0 18.6

3,879 12,985 19,146 2,518 6,162 23,502 11,408 1,609 9,899 5,038 50,719 12,103 8,020 2,729 4,841 10,718 6,767 10,494 4,269 2,523 9,059 77,280 7,926 10,734

19.2 24,447 20.9 6,961 23.2 28,881 16.8 47,027 27.7 20,292 20.8 228,022

24.2 22.5 25.6 18.1 20.2 21.8 24.3 22.8 23.8 21.6 14.3 23.5 22.3 21.1 27.4 22.4 22.3 23.5 21.6 23.7 25.8 21.0 27.4 25.7

2,544 8,496 12,480 1,500 4,251 14,515 6,297 844 6,735 3,717 26,724 8,230 4,653 1,343 3,132 6,531 4,458 7,174 3,186 1,549 5,477 39,543 5,074 5,847

15.9 1,007 6.3 14.7 3,913 6.8 16.7 4,582 6.1 10.8 1,095 7.9 13.9 2,035 6.7 13.5 8,589 8.0 13.4 2,387 5.1 12.0 581 8.2 16.2 3,038 7.3 16.0 1,702 7.3 7.5 14,829 4.2 16.0 3,116 6.0 12.9 2,062 5.7 10.4 757 5.9 17.7 1,190 6.7 13.6 3,286 6.9 14.7 2,411 7.9 16.0 3,313 7.4 16.1 1,842 9.3 14.5 827 7.8 15.6 2,325 6.6 10.7 16,249 4.4 17.6 1,891 6.5 14.0 2,014 4.8

5.8 5.2 5.1 4.6 8.0 5.3

81–100 101–120 years years (ha) (%) (ha) (%)

12.2 17,232 8.6 11,595 9.6 3,987 5.5 3,809 12.6 15,507 6.8 11,747 11.1 32,552 7.7 19,348 22.3 11,071 12.1 7,322 12.9 138,978 7.9 93,808

21–40 years 41–60 years 61–80 years (ha) (%) (ha) (%) (ha) (%)

18.5 40,085 18.3 18,637 17.7 53,897 19.8 88,557 13.0 9,729 17.5 373,820

1–20 years (ha) (%)

2.1 2,347 14.7 1.5 7,273 12.6 1.9 8,732 11.7 2.7 2,561 18.4 1.7 4,850 15.9 1.1 14,244 13.2 2.7 6,349 13.5 1.2 911 12.9 0.5 4,489 10.8 1.1 2,798 12.0 1.2 68,765 19.4 1.0 5,934 11.5 0.6 3,937 10.9 1.4 1,806 14.0 1.9 2,041 11.5 1.6 5,953 12.4 2.6 4,812 15.9 3.1 6,202 13.9 1.2 2,214 11.2 1.4 1,281 12.0 1.0 3,632 10.4 0.9 47,960 13.0 1.1 2,757 9.5 2.4 5,934 14.2

0.9 0.8 0.9 0.5 0.6 0.7

Open regeneration site (ha) (%)

695 2,001 2,634 918 1,236 3,941 1,683 251 1,876 671 17,973 1,675 766 230 712 2,246 1,526 1,932 788 392 1,184 13,303 922 1,166

10,471 3,534 12,323 24,605 2,972 94,074

141+ years (ha) (%)

4.3 3.5 3.5 6.6 4.1 3.7 3.6 3.6 4.5 2.9 5.1 3.3 2.1 1.8 4.0 4.7 5.0 4.3 4.0 3.7 3.4 3.6 3.2 2.8

146 0.9 657 1.1 950 1.3 66 0.5 1,006 3.3 2,935 2.7 694 1.5 77 1.1 719 1.7 764 3.3 58,622 16.5 744 1.4 300 0.8 40 0.3 224 1.3 1,137 2.4 590 1.9 1,234 2.8 613 3.1 138 1.3 498 1.4 29,277 7.9 377 1.3 382 0.9

16,007 57,768 74,839 13,950 30,489 107,809 46,925 7,050 41,649 23,298 355,247 51,559 35,995 12,948 17,698 47,923 30,348 44,748 19,791 10,653 35,071 368,924 28,916 41,729

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0

Forest land total (ha) (%)

5.2 19,773 9.8 201,099 4.9 6,693 9.2 72,737 5.4 10,973 4.8 228,929 5.8 54,032 12.8 423,176 3.3 2,188 2.4 91,195 5.3 150,718 8.5 1,770,651

121–140 years (ha) (%)

Pyhäsalmi Pyhäntä Raahe Rantsila Reisjärvi Sievi Siikajoki Taivalkoski Tyrnävä Utajärvi Vihanti Yli-Ii Ylikiiminki Ylivieska

Lapland Municipality 47 Enontekiö 148 Inari 240 Kemi 241 Keminmaa 261 Kittilä 273 Kolari 320 Kemijärvi 498 Muonio 583 Pelkosenniemi 614 Posio

626 630 678 682 691 746 748 832 859 889 926 972 973 977 Total

603 328 132 391 5,346 1,336 1,781 486 939 2,543

1,331 192 649 582 465 880 1,093 2,848 231 887 595 436 925 1,080 32,680

0.6 0.1 2.1 0.9 1.1 0.8 0.7 0.4 0.8 1.2

7,086 25,916 1,687 8,429 57,797 21,886 32,726 15,258 17,883 29,212

1.3 14,602 0.3 6,004 1.7 4,443 1.2 4,480 1.4 5,354 1.7 7,856 1.6 7,474 1.6 30,515 0.9 2,682 0.8 10,958 1.8 3,591 0.9 5,801 1.4 6,548 2.7 6,516 1.3 334,605

7.5 3.6 26.3 18.7 12.4 12.6 13.0 12.6 14.8 14.1

4,085 36,114 1,461 8,480 51,665 18,997 35,370 12,440 21,675 27,159

14.0 19,322 10.1 6,343 11.6 6,112 9.0 5,267 15.6 8,662 14.8 9,845 11.0 9,806 16.8 34,716 10.3 3,684 10.3 11,205 10.8 4,223 11.4 7,024 9.8 6,510 16.1 4,915 13.7 380,680

4.3 5.1 22.8 18.8 11.1 10.9 14.0 10.3 17.9 13.1

7,858 77,797 1,134 8,714 42,464 24,461 41,896 11,048 16,828 31,156

18.5 23,675 10.6 13,749 15.9 8,072 10.5 12,490 25.3 6,410 18.5 9,354 14.4 16,155 19.1 30,238 14.1 6,998 10.5 24,914 12.7 7,119 13.8 12,852 9.7 15,316 12.1 7,425 15.6 488,201

18,784 88,032 300 3,405 72,799 24,003 31,164 16,074 15,001 24,036

20.2 13,400 24.7 10,008 23.7 5,903 27.0 8,431 18.4 4,015 22.9 6,824 25.6 9,486 17.5 11,544 22.1 3,883 23.5 16,779 27.3 5,325 22.7 7,092 25.3 12,234 22.0 6,390 21.3 305,612

8.3 14,243 15.1 10.9 129,636 18.2 17.7 438 6.8 19.3 6,920 15.3 9.1 81,070 17.4 14.1 35,405 20.4 16.6 52,083 20.6 9.1 12,791 10.6 13.9 22,426 18.5 15.0 39,732 19.1

22.7 21,018 23.1 14,735 21.0 9,112 25.0 13,529 18.7 6,315 17.6 12,159 23.7 17,445 16.6 31,868 26.8 5,768 23.3 25,150 21.4 9,064 25.2 11,597 22.9 16,956 18.3 8,927 20.0 517,973

19.9 12.4 4.7 7.6 15.6 13.8 12.4 13.3 12.4 11.6

5.6 8.2 7.7 6.2 5.1 5.4 7.5 3.0 6.1 8.1 6.3 6.7 7.0 6.5 5.8

4,721 5.0 25,321 3.6 665 10.4 3,684 8.2 45,979 9.9 13,997 8.1 16,538 6.6 11,530 9.5 7,019 5.8 11,765 5.7

12.9 5,869 16.8 4,869 15.4 2,974 16.8 3,101 11.7 1,734 12.8 2,846 13.9 5,085 6.3 5,374 14.9 1,604 15.7 8,711 16.0 2,084 13.9 3,438 18.3 4,700 15.8 2,635 12.5 140,068

2,229 11,329 436 3,317 20,763 8,820 10,410 6,802 3,681 8,921

4,275 2,520 921 1,509 772 1,849 1,340 7,137 878 5,375 876 1,430 1,944 1,948 93,497

2.4 34,726 36.8 1.6 317,643 44.6 6.8 155 2.4 7.4 1,782 4.0 4.5 89,112 19.1 5.1 24,771 14.3 4.1 30,391 12.0 5.6 34,736 28.7 3.0 15,553 12.9 4.3 33,050 15.9

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

94,334 712,116 6,409 45,121 466,995 173,677 252,360 121,167 121,006 207,573

4.1 735 0.7 104,227 4.2 1,232 2.1 59,652 2.4 265 0.7 38,450 3.0 672 1.3 50,060 2.3 536 1.6 34,263 3.5 1,546 2.9 53,158 2.0 326 0.5 68,211 3.9 27,991 15.4 182,232 3.4 401 1.5 26,129 5.0 2,976 2.8 106,956 2.6 356 1.1 33,232 2.8 1,402 2.7 51,073 2.9 1,839 2.8 66,971 4.8 670 1.7 40,505 3.8 143,134 5.9 2,436,451

683 698 732 742 751 758 845 851 854 890 976 Total

Ranua Rovaniemi Salla Savukoski Simo Sodankylä Tervola Tornio Pello Utsjoki Ylitornio

Table 4a (continued)

2,019 4,643 2,064 2,761 629 6,096 621 753 1,157 – 1,095 35,723

16.3 35,048 12.3 81,993 15.5 40,093 9.7 47,426 13.9 18,905 10.7 53,265 11.6 22,566 16.7 17,625 13.4 22,384 0.2 2,251 11.6 27,399 11.3 632,309

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

Forest land total (ha) (%)

9.4 201,135 11.0 559,792 24.3 381,918 28.3 439,951 7.7 89,850 28.9 668,146 6.7 109,404 4.2 82,653 11.1 134,644 10.5 6,297 10.6 141,322 22.4 5,015,871

141+ years (ha) (%)

3.0 18,994 3.7 61,751 2.7 92,939 3.8 124,491 4.8 6,878 3.3 192,841 9.0 7,272 7.9 3,446 4.5 14,948 2.9 664 4.1 14,947 3.7 1,121,089

121–140 years (ha) (%)

4.1 5,936 6.4 20,836 5.0 10,112 5.6 16,515 8.4 4,301 7.2 22,114 7.8 9,882 6.7 6,520 6.9 6,090 1.7 183 7.0 5,805 6.3 185,003

81–100 101–120 years years (ha) (%) (ha) (%)

17.4 40,944 20.4 22,292 11.1 8,178 14.7 133,467 23.8 73,964 13.2 36,004 10.5 60,816 15.9 41,965 11.0 19,036 10.8 69,352 15.8 51,944 11.8 24,490 21.0 17,456 19.4 9,943 11.1 7,562 8.0 98,822 14.8 101,808 15.2 48,205 20.6 18,916 17.3 13,315 12.2 8,531 21.3 10,987 13.3 8,355 10.1 5,547 16.6 25,900 19.2 15,641 11.6 9,272 35.7 2,804 44.5 112 1.8 108 19.4 28,588 20.2 17,979 12.7 9,823 12.6 902,795 18.0 650,915 13.0 317,975

21–40 years 41–60 years 61–80 years (ha) (%) (ha) (%) (ha) (%)

17.4 32,746 14.0 68,771 14.6 59,341 13.7 42,821 13.1 12,447 11.0 71,551 14.3 12,699 18.9 13,808 15.7 18,082 2.6 15 13.6 16,409 12.0 566,136

1–20 years (ha) (%)

1.0 34,980 0.8 78,364 0.5 55,552 0.6 60,151 0.7 11,729 0.9 73,444 0.6 15,603 0.9 15,613 0.9 21,170 – 161 0.8 19,278 0.7 603,925

Open regeneration site (ha) (%)

9.8 24.2 18.8 25.6 20.4 22.0 20.7 26.1 28.9 22.2 20.9 18.2 21.7 15.5 21.2 21.0 21.6

22.1 50.9

26.3 0.0 0.0 0.0 0.0 0.0 0.0 33.2 – 0.0 0.0 0.0 0.4 26.6 0.1 5.9 5.3

Rannikko/Etelärannikko Municipality 40 Dragsfjärd 0.0 49 Espoo-Esbo 0.0

Åland Municipality 35 Brändö 43 Eckerö 60 Finström 62 Föglö 65 Geta 76 Hammarland 170 Jomala 295 Kumlinge 318 Kökar 417 Lemland 438 Lumparland 478 Mariehamn 736 Saltvik 766 Sottunga 771 Sund 941 Vårdö Total

93.3 97.9

100.0 101.1 110.5 110.0 92.9 109.2 112.3 111.2 90.1 112.5 100.3 96.3 101.7 93.7 106.9 93.7 106.2

(m3/ha)

(m3/ha)

(m3/ha)

21–40 years

Open regene- 1–20 ration site years

177.5 174.6

140.9 194.3 191.2 179.7 183.4 191.7 195.0 161.1 118.7 192.3 183.0 168.3 184.6 138.7 187.1 170.5 181.1

(m3/ha)

41–60 years

185.3 226.4

85.8 199.3 199.2 167.4 176.7 201.9 211.4 115.7 121.7 199.3 187.6 181.6 193.6 118.3 195.4 163.7 169.6

(m3/ha)

61–80 years

163.8 232.9

107.4 220.9 227.9 182.8 219.9 219.5 226.8 140.4 105.7 228.6 223.0 207.0 225.0 153.1 221.7 211.1 211.1

(m3/ha)

81–100 years

Table 4b The mean volume of growing stock in age classes on forest land (By forestry centres).

181.9 194.9

196.4 164.4 169.3 146.0 160.6 161.2 174.0 149.8 122.9 167.5 163.0 148.8 164.2 147.9 163.5 157.3 161.1

(m3/ha)

101–120 years

151.7 162.6

170.8 208.7 210.7 174.3 190.6 191.9 224.4 137.4 115.7 204.4 201.1 162.4 197.1 147.1 192.5 197.3 196.7

(m3/ha)

121–140 years

121.1 172.0

93.0 187.4 214.3 127.4 193.5 197.1 221.0 103.9 85.4 219.5 165.3 184.8 182.4 123.2 173.0 158.8 170.0

(m3/ha)

141+ years

(continued)

142.8 165.0

92.1 146.2 141.9 136.0 139.4 144.5 147.7 115.6 93.0 143.9 145.1 115.1 151.2 102.9 144.2 137.4 138.5

(m3/ha)

Forest land total

Appendix 1 185

78 91 92 101 149 150 220 235 243 257 279 407 424 434 533 573 585 606 638 701 753 755 835 923 Total

Hanko-Hangö Helsinki-Helsingfors Vantaa-Vanda Houtskär-Houtskari Ingå-Inkoo Iniö Karis-Karjaa Kauniainen-Grankulla Kimito-Kemiö Kirkkonummi-Kyrkslätt Korpo-Korppoo Lapinjärvi-Lappträsk Liljendal Loviisa-Lovisa Nagu-Nauvo Pargas-Parainen Pernå-Pernaja Pohja-Pojo Porvoo-Borgå Ruotsinpyhtää-Strömfors Sipoo-Sibbo Siuntio-Sjundeå Ekenäs-Tammisaari Västanfjärd

Table 4b (continued)

31.2 51.8 45.3 42.7 39.2 45.3 29.5 51.0 22.8 41.9 38.0 41.6 37.7 22.7 36.7 27.6 33.8 24.6 44.4 25.7 47.2 45.8 27.3 20.5 36.6

(m3/ha)

(m3/ha)

0.0 0.8 0.0 – 0.0 – 0.0 – 0.0 1.3 0.0 2.6 1.7 9.6 0.0 0.0 3.6 0.0 3.4 4.2 3.9 1.2 0.0 0.0 1.8

1–20 years

Open regeneration site 111.4 104.4 110.8 106.3 94.0 97.9 111.0 91.2 110.9 86.0 101.5 94.4 93.4 103.9 98.3 94.3 100.3 104.9 107.1 99.9 117.8 94.6 108.4 108.3 103.0

(m3/ha)

21–40 years 143.2 176.8 197.7 115.5 188.3 122.6 188.0 159.3 143.9 181.3 127.3 169.5 166.6 170.4 141.1 142.2 169.7 154.8 181.7 168.7 189.2 213.1 141.8 156.1 168.4

(m3/ha)

41–60 years 164.8 207.8 242.6 131.6 270.1 199.2 246.9 215.6 183.2 242.1 142.4 185.1 176.2 177.4 144.5 159.7 187.1 174.2 213.4 168.5 228.8 273.0 179.5 182.3 199.2

(m3/ha)

61–80 years 191.5 231.0 226.4 157.2 206.2 155.8 198.8 222.5 168.3 242.6 139.1 211.0 217.3 213.2 148.0 156.3 223.9 195.8 243.3 226.5 242.9 250.7 197.9 175.3 200.0

(m3/ha)

81–100 years 129.1 149.9 214.6 153.9 175.7 163.8 171.1 174.5 158.4 161.4 168.4 235.6 229.7 211.2 181.2 161.8 212.8 188.1 199.7 221.5 214.0 188.5 153.1 155.5 180.1

(m3/ha)

101–120 years 150.6 173.3 205.5 65.1 174.3 116.8 192.0 151.7 165.7 172.4 92.2 198.7 173.5 61.3 143.9 130.9 127.9 209.2 193.5 61.2 248.4 165.7 151.3 161.7 163.5

(m3/ha) 213.3 98.5 143.0 205.3 166.2 194.1 169.0 172.5 122.0 163.7 207.5 197.0 188.8 222.2 201.0 135.4 193.1 183.5 128.0 190.0 68.9 172.4 184.4 160.3 174.6

(m3/ha)

121–140 141+ years years

138.3 137.2 157.4 126.5 169.8 140.9 151.7 157.2 139.7 161.1 120.7 154.8 150.4 156.4 131.0 126.6 146.9 133.8 155.6 145.6 166.5 174.5 137.4 138.7 148.2

(m3/ha)

Forest land total

186 Appendix 1

0.0 3.3 0.7 0.7 2.1 3.1 0.4 0.0 0.3 1.1 0.8 2.1 1.0 0.1 0.4 1.1

17.5 0.0 9.8 11.6 6.3 0.0 15.7 6.6

Rannikko/Pohjanmaa Municipality 231 Kaskinen-Kaskö 272 Kokkola-Karleby 280 Korsnäs 287 Kristinestad-Kristiinankaupunki 288 Kronoby-Kruunupyy 440 Larsmo-Luoto 475 Malax-Maalahti 499 Korsholm-Mustasaari 545 Närpes-Närpiö 559 Oravais-Oravainen 598 Jakobstad-Pietarsaari 599 Pedersöre-Pedersören kunta 893 Nykarleby-Uusikaarlepyy 905 Vaasa-Vasa 945 Vörå-Maxmo-Vöyri-Maksamaa Total

Lounais-Suomi Municipality 6 Alastaro 17 Askainen 19 Aura 50 Eura 51 Eurajoki 73 Halikko 79 Harjavalta 99 Honkajoki 33.1 25.0 38.6 34.3 35.1 30.8 31.5 18.9

27.3 18.2 19.0 26.8 13.5 16.5 21.0 21.4 25.0 19.5 19.3 15.5 18.3 22.9 20.0 20.2

112.8 107.9 95.8 108.3 111.6 113.2 122.1 54.8

92.8 72.9 82.7 75.5 69.4 68.3 72.5 65.2 75.3 73.2 73.7 69.9 68.5 74.6 79.1 72.1

157.6 167.9 161.9 151.5 161.7 174.3 153.5 90.2

92.0 106.8 117.2 116.2 87.1 107.1 97.1 75.6 106.0 105.0 115.4 97.4 98.8 90.8 90.9 98.6

202.1 192.8 206.6 203.0 228.5 195.6 199.5 115.8

159.5 147.9 149.1 152.0 135.7 148.8 142.5 168.4 142.1 137.5 136.5 122.8 113.8 187.1 159.1 142.6

196.2 173.5 196.4 192.4 t198.5 195.7 180.0 141.9

176.7 173.6 163.6 171.5 160.4 162.3 177.6 182.0 170.5 160.3 141.1 153.6 137.3 176.2 184.5 168.1

193.0 174.4 209.1 199.8 207.8 201.4 147.0 123.3

193.0 172.1 178.9 175.2 166.8 172.0 177.1 174.0 181.0 176.9 178.4 163.6 164.0 191.1 177.9 173.3

194.8 163.3 234.1 191.2 203.0 220.3 168.4 121.7

65.0 170.6 126.2 110.1 172.7 165.6 135.3 191.9 138.6 122.6 136.1 179.5 130.8 160.1 141.3 151.0

140.6 137.2 158.2 159.2 158.5 117.8 160.5 150.1

302.4 151.4 158.1 98.5 115.1 149.7 166.9 174.5 159.2 113.9 125.1 109.8 118.2 226.0 115.4 136.7

(continued)

148.0 144.4 150.2 143.6 148.0 152.6 138.4 92.9

108.7 103.1 104.1 117.2 102.1 92.6 97.2 106.4 113.5 98.2 95.0 97.2 90.4 118.7 110.7 104.3

Appendix 1 187

102 181 202 214 230 252 254 259 262 271 284 304 308 319 400 406 413 419 423 430 442 480 481 482 484 485

Huittinen Jämijärvi Kaarina Kankaanpää Karvia Kiikala Kiikoinen Kisko Kiukainen Kokemäki Koski Tl Kustavi Kuusjoki Köyliö Laitila Lappi Lavia Lemu Lieto Loimaa Luvia Marttila Masku Mellilä Merikarvia Merimasku

Table 4b (continued)

17.5 13.2 0.0 9.5 4.7 8.0 12.0 7.2 8.2 11.7 20.1 0.0 16.7 8.8 7.4 10.0 13.9 0.1 5.2 18.2 10.4 19.8 0.1 20.6 13.5 0.0

33.9 22.6 26.1 24.9 16.9 33.9 24.3 32.9 33.0 30.7 34.0 30.8 39.5 32.4 36.9 34.5 25.1 23.7 36.5 33.3 31.7 39.2 30.8 33.7 29.2 33.7

117.1 88.1 107.9 73.8 56.6 100.6 98.7 100.6 113.4 116.7 114.2 89.0 107.9 104.7 105.0 105.0 93.4 94.4 99.3 110.3 112.1 105.3 88.9 110.1 91.0 104.7

(m3/ha)

(m3/ha)

(m3/ha)

21–40 years

Open regene- 1–20 ration site years 163.7 136.9 164.8 111.6 86.0 169.0 142.9 170.1 165.2 147.4 163.7 155.6 165.5 145.5 145.1 146.3 143.3 153.4 156.6 163.6 190.0 158.0 153.9 159.9 138.6 163.6

(m3/ha)

41–60 years

81–100 years

216.0 162.9 185.7 146.0 116.9 200.4 189.3 205.8 220.0 201.8 211.8 183.7 205.5 190.6 214.2 206.7 185.7 187.0 199.1 211.7 243.6 199.0 182.7 207.7 183.1 189.1

212.1 184.5 169.3 166.2 138.6 197.9 227.9 198.8 209.1 197.8 221.6 149.4 209.7 180.4 179.9 185.0 205.1 170.5 187.7 223.3 274.5 194.9 168.2 198.8 194.3 165.1

(m3/ha) (m3/ha)

61–80 years 213.1 175.6 171.8 160.0 122.3 209.7 213.3 199.2 220.9 182.4 235.2 169.1 232.7 189.0 190.8 184.5 190.2 162.4 202.7 233.4 229.5 212.6 182.0 214.4 191.3 171.1

(m3/ha) 205.7 129.5 171.4 134.0 120.2 226.6 144.1 229.6 192.8 179.2 214.8 168.3 219.4 186.8 201.7 185.4 146.4 158.0 231.7 222.9 200.8 213.4 178.3 201.7 147.1 150.7

(m3/ha)

101–120 121–140 years years 138.7 159.3 110.1 139.1 131.2 149.2 109.7 145.2 146.5 145.2 108.6 200.9 174.0 137.6 148.5 149.5 137.0 131.9 137.1 128.8 209.1 164.6 152.3 159.4 176.9 193.9

(m3/ha)

141+ years 153.3 121.7 133.7 112.1 93.2 155.5 136.9 153.5 147.1 140.6 165.2 142.9 164.7 140.6 144.5 141.3 131.9 126.2 150.8 165.5 168.5 151.6 134.4 152.2 125.1 150.7

(m3/ha)

Forest land total

188 Appendix 1

501 503 529 531 537 538 561 577 586 587 602 608 609 631 636 680 684 704 705 734 738 747 761 776 783 784 833 838

Muurla Mynämäki Naantali Nakkila Noormarkku Nousiainen Oripää Paimio Perniö Pertteli Piikkiö Pomarkku Pori Pyhäranta Pöytyä Raisio Rauma Rusko Rymättylä Salo Sauvo Siikainen Somero Suomusjärvi Säkylä Särkisalo-Finby Taivassalo Tarvasjoki

4.1 10.1 0.0 7.7 12.1 18.0 9.6 0.0 3.2 9.2 0.0 14.2 8.7 7.5 12.5 0.0 12.9 0.2 0.0 3.2 0.0 15.4 14.9 3.7 13.7 0.0 0.0 12.1

35.0 33.8 27.2 29.1 27.5 32.7 34.3 26.3 34.1 35.6 26.1 27.1 28.3 41.7 38.7 26.5 40.4 32.9 32.5 34.6 29.0 28.1 33.9 28.1 33.0 36.9 26.5 40.8

103.8 97.0 103.9 119.9 99.9 102.9 94.7 113.0 103.9 102.4 109.4 97.0 106.9 103.0 99.0 97.3 105.7 87.8 88.7 104.8 104.2 81.8 113.1 103.5 102.6 108.6 102.0 100.7

171.4 145.6 163.0 170.4 150.8 153.2 142.0 165.6 170.3 169.0 172.0 147.3 170.2 152.2 154.2 161.3 154.5 151.2 159.7 168.0 159.7 127.2 177.9 179.0 144.3 176.7 157.2 161.8

205.2 193.7 183.6 228.8 200.1 209.1 185.3 190.3 206.0 207.2 190.9 201.3 228.7 231.0 197.7 191.3 218.1 185.9 177.2 202.7 192.4 167.8 210.7 201.4 192.5 206.8 175.0 207.8

193.9 175.4 168.8 213.8 226.2 184.0 182.4 182.1 194.5 194.8 177.5 221.9 237.1 187.7 200.0 169.2 182.7 173.1 151.7 188.2 173.1 189.1 216.2 202.4 171.5 201.7 160.6 198.6

197.4 181.3 178.2 207.6 202.3 196.3 185.9 186.4 188.4 210.7 179.5 221.1 231.4 171.2 199.5 168.7 168.5 180.2 169.5 194.0 164.4 183.2 234.1 206.6 183.2 183.1 164.7 219.9

242.6 184.2 158.1 198.1 183.9 208.1 195.0 214.0 252.6 223.6 197.9 185.4 197.3 222.1 219.0 173.1 201.5 181.9 156.2 233.9 173.6 159.1 227.5 219.9 191.0 225.6 162.7 228.3

130.6 147.9 121.4 217.3 189.3 149.8 159.1 109.4 130.1 134.9 104.1 185.0 211.2 127.8 159.9 113.3 142.0 176.3 146.8 126.3 127.9 167.4 151.2 155.3 135.2 124.7 152.4 145.1 (continued)

154.9 135.2 142.1 150.2 142.6 151.0 140.2 146.4 157.9 154.5 143.1 154.5 144.0 152.2 149.4 133.4 144.7 136.4 141.5 147.8 135.0 121.7 161.8 150.3 141.3 155.3 140.8 152.9

Appendix 1 189

Turku-Åbo Ulvila Uusikaupunki Vahto Vampula Vehmaa Velkua Yläne

Häme-Uusimaa Municipality 15 Artjärvi 16 Asikkala 18 Askola 61 Forssa 81 Hartola 82 Hattula 83 Hauho 86 Hausjärvi 98 Hollola 103 Humppila 106 Hyvinkää 109 Hämeenlinna 111 Heinola 165 Janakkala 169 Jokioinen

853 886 895 906 913 918 920 979 Total

Table 4b (continued)

19.2 4.4 7.6 8.0 0.0 13.7 10.2 10.0 10.6 7.1 7.6 4.1 23.8 0.9 14.4

0.0 12.3 2.3 14.2 16.2 0.0 0.0 15.7 10.8

40.6 28.0 41.5 36.4 35.8 28.5 26.8 29.5 29.8 46.4 27.6 26.7 32.0 26.7 41.3

28.5 27.3 29.5 33.2 32.1 27.9 33.8 34.5 30.9

91.5 111.0 101.5 91.6 130.4 107.8 105.0 91.9 92.7 85.7 102.6 109.3 106.2 103.9 99.7

94.9 101.8 100.6 102.1 120.5 102.8 74.4 99.7 99.4

(m3/ha)

(m3/ha)

(m3/ha)

21–40 years

Open regene- 1–20 ration site years

166.3 175.2 177.4 160.0 171.4 171.2 194.5 178.8 179.1 152.7 169.3 182.5 174.0 173.0 170.1

157.3 150.4 152.2 155.4 169.2 152.8 151.2 146.0 148.8

(m3/ha)

41–60 years

81–100 years

204.2 221.5 188.6 188.2 225.9 205.3 231.0 224.1 222.2 225.6 210.9 222.4 194.2 221.2 204.1

190.8 197.8 179.7 203.2 213.8 172.9 168.2 190.7 191.4

204.9 222.3 241.3 233.9 243.5 211.6 234.0 231.3 235.5 204.3 218.3 245.9 217.5 245.8 234.8

165.3 210.1 171.8 184.4 217.5 172.2 133.4 179.8 189.8

(m3/ha) (m3/ha)

61–80 years

234.3 225.2 220.7 250.6 213.5 223.2 254.4 232.7 235.3 274.9 232.0 242.6 220.8 236.3 258.1

175.6 187.0 166.1 197.1 208.1 173.4 167.7 176.4 189.4

(m3/ha)

184.2 223.5 214.0 253.2 191.7 271.5 266.5 186.8 201.9 213.3 196.9 262.9 162.2 277.3 269.9

168.0 168.2 159.4 206.2 205.8 151.4 136.2 196.6 184.4

(m3/ha)

101–120 121–140 years years

171.0 234.0 183.1 83.3 171.7 162.6 164.2 151.5 206.8 100.9 142.0 124.5 227.0 141.3 95.9

135.5 176.2 140.4 140.6 111.3 118.8 184.4 130.6 152.4

(m3/ha)

141+ years

146.9 157.6 166.1 155.8 155.9 145.6 176.8 158.6 149.5 167.3 156.5 153.2 143.7 162.0 167.1

131.5 138.1 128.4 148.9 158.3 127.5 137.1 140.8 139.8

(m3/ha)

Forest land total

190 Appendix 1

186 210 223 224 245 283 316 398 401 433 444 504 505 532 540 543 560 576 611 616 692 694 737 781 834 855 858 927 981 Total

Järvenpää Kalvola Karjalohja Karkkila Kerava Hämeenkoski Kärkölä Lahti Lammi Loppi Lohja-Lojo Myrskylä-Mörskom Mäntsälä Nastola Nummi-Pusula Nurmijärvi Orimattila Padasjoki Pornainen Pukkila Renko Riihimäki Sammatti Sysmä Tammela Tuulos Tuusula Vihti Ypäjä

6.3 9.3 2.1 2.9 10.3 3.4 9.3 22.1 0.7 3.3 0.4 5.9 11.4 18.8 3.4 5.2 13.7 0.0 6.6 6.0 0.0 0.4 1.9 0.0 4.7 1.1 8.6 0.0 20.5 6.5

36.1 35.1 23.8 20.7 38.6 30.9 33.4 30.0 29.1 22.3 32.2 42.7 35.5 27.1 21.5 33.3 32.6 27.9 37.6 38.1 20.7 25.3 22.5 36.0 28.7 21.6 34.5 31.5 42.0 30.5

107.6 107.5 99.1 107.9 131.0 93.6 82.7 104.6 97.3 103.9 96.0 93.8 82.9 102.4 105.8 115.5 88.7 111.8 98.0 91.9 102.6 107.4 100.7 126.8 93.0 92.1 117.5 111.5 97.9 104.4

188.1 168.7 190.4 177.5 197.4 186.0 191.4 164.4 173.0 163.6 212.0 168.4 181.9 165.7 191.7 187.6 168.3 155.3 187.1 178.8 166.2 177.7 191.8 183.3 166.4 175.6 194.5 195.5 166.4 176.7

233.6 206.1 212.8 233.9 205.7 228.3 234.0 224.2 210.8 216.1 264.9 191.5 241.4 203.2 237.1 224.3 206.3 224.6 193.6 208.5 225.3 222.8 233.9 222.8 193.9 215.7 233.7 244.9 204.7 217.8

240.3 214.1 216.3 233.5 236.5 246.0 236.2 196.4 227.6 227.9 227.5 224.4 230.0 199.0 211.0 216.1 208.3 231.5 241.8 226.4 222.5 244.1 204.1 231.0 215.4 215.8 229.2 214.1 217.5 224.9

244.0 234.9 210.5 225.9 261.6 235.6 240.8 226.8 232.3 218.5 189.6 233.8 251.0 217.9 224.7 245.9 225.1 223.4 225.0 240.4 231.7 224.1 223.4 221.7 224.3 235.6 266.0 214.7 274.7 229.5

130.6 261.5 194.4 216.9 304.3 201.5 139.9 202.2 235.4 249.0 159.5 213.7 128.0 193.1 174.8 239.5 182.1 220.3 210.4 194.8 260.7 263.1 183.5 212.5 238.3 235.6 245.8 202.3 275.7 211.6

90.0 222.3 131.1 115.4 63.5 203.7 156.9 148.0 194.0 136.0 127.0 183.4 143.1 164.4 113.4 123.7 155.8 234.1 127.3 155.5 153.4 162.1 136.0 222.9 128.1 174.3 123.7 139.7 104.7 178.6 (continued)

139.8 147.3 137.3 162.6 151.2 154.7 159.2 134.6 152.0 158.6 154.7 156.8 171.4 136.4 146.4 157.7 139.8 163.5 155.9 149.0 160.5 160.6 135.3 161.6 150.9 151.7 160.7 164.7 172.1 155.4

Appendix 1 191

Kaakkois-Suomi Municipality 44 Elimäki 75 Hamina 142 Iitti 153 Imatra 163 Jaala 173 Joutseno 285 Kotka 286 Kouvola 306 Kuusankoski 405 Lappeenranta 416 Lemi 441 Luumäki 489 Miehikkälä 580 Parikkala 624 Pyhtää-Pyttis 689 Rautjärvi 700 Ruokolahti 739 Savitaipale 754 Anjalankoski 775 Suomenniemi 831 Taipalsaari 909 Valkeala 935 Virolahti 978 Ylämaa Total

Table 4b (continued)

26.5 26.4 32.7 18.1 31.4 19.5 27.5 26.3 32.4 19.0 23.3 24.2 20.6 24.3 30.8 23.3 22.4 25.4 27.5 18.1 24.2 29.1 20.5 20.4 24.8

(m3/ha)

(m3/ha)

4.2 3.9 6.8 13.3 7.5 12.3 2.5 6.7 6.9 6.0 8.7 3.6 7.0 11.5 1.9 20.2 14.9 9.6 2.8 19.7 11.2 5.2 4.8 5.5 8.3

1–20 years

Open regeneration site

96.4 94.0 95.3 128.1 111.5 127.1 103.9 96.8 97.8 106.0 112.5 98.2 92.2 114.9 108.4 118.6 112.8 110.1 97.0 110.4 117.7 102.3 88.8 91.0 105.0

(m3/ha)

21–40 years

161.2 154.2 163.4 186.6 162.5 184.0 162.3 161.3 164.6 169.4 181.0 146.2 151.7 160.9 162.2 171.1 147.9 154.9 147.9 135.5 163.6 152.6 156.0 156.5 157.4

(m3/ha)

41–60 years

205.6 186.0 199.6 228.8 207.1 227.0 207.7 189.7 193.1 214.6 221.1 187.1 192.7 191.1 201.7 211.3 208.5 196.1 183.7 200.9 208.3 188.1 186.7 196.3 199.6

(m3/ha)

61–80 years

246.5 235.6 232.8 217.3 239.3 212.5 199.7 229.7 249.8 234.4 237.0 245.1 216.3 220.6 211.8 223.6 218.0 227.2 224.9 201.7 210.5 238.6 205.1 218.9 226.2

(m3/ha)

81–100 years

235.7 216.0 216.2 236.2 241.4 251.7 215.5 207.8 221.1 238.1 255.6 222.5 217.2 219.8 206.5 233.6 223.5 237.3 219.7 216.2 232.1 231.5 211.6 231.8 226.6

(m3/ha)

101–120 years

186.4 195.7 165.1 228.1 192.5 245.1 182.1 166.8 174.7 224.1 241.9 202.1 243.4 237.6 172.1 258.5 254.0 220.8 186.6 168.2 186.8 203.2 248.6 229.0 208.0

(m3/ha)

121–140 years

181.2 180.4 175.0 192.9 197.6 215.8 191.4 168.0 189.3 242.4 236.2 178.8 178.2 180.4 175.4 181.1 199.5 148.6 179.5 140.4 189.6 184.9 157.2 133.2 185.1

(m3/ha)

141+ years

149.0 136.2 138.1 149.8 150.5 154.9 135.2 119.2 135.5 146.8 155.8 142.2 131.1 123.1 142.3 144.4 142.2 150.6 135.7 138.0 149.5 141.3 121.6 132.9 140.6

(m3/ha)

Forest land total

192 Appendix 1

Pirkanmaa Municipality 20 Akaa 108 Hämeenkyrö 143 Ikaalinen 177 Juupajoki 211 Kangasala 250 Kihniö 289 Kuhmalahti 303 Kuru 310 Kylmäkoski 418 Lempäälä 493 Mouhijärvi 506 Mänttä 536 Nokia 562 Orivesi 581 Parkano 604 Pirkkala 619 Punkalaidun 635 Pälkäne 702 Ruovesi 837 Tampere 887 Urjala 908 Valkeakoski 912 Vammala 922 Vesilahti 933 Vilppula 936 Virrat 980 Ylöjärvi 988 Äetsä Total

16.5 12.2 9.1 8.1 11.1 6.3 9.5 7.7 12.1 12.5 12.7 8.4 12.6 8.9 5.3 16.6 21.0 11.0 8.2 10.9 10.8 15.5 11.5 10.8 7.6 7.2 10.2 10.4 9.8

24.7 26.7 23.9 24.2 28.2 22.6 29.9 26.2 26.5 27.3 27.2 27.5 28.5 25.7 20.6 24.9 35.3 31.1 25.0 25.4 26.4 27.8 26.6 24.8 25.3 20.9 26.4 24.9 25.6

98.1 96.6 86.8 90.6 96.9 77.4 101.7 88.8 99.4 97.8 94.9 95.4 92.7 95.6 73.8 100.2 113.1 106.3 90.9 98.9 97.0 101.4 95.5 96.0 91.8 81.7 95.2 99.9 92.0

162.8 163.3 134.7 150.3 163.8 105.4 166.9 133.7 157.3 171.0 156.2 158.9 164.5 155.1 105.1 173.5 162.5 177.1 150.6 162.2 156.7 170.0 146.6 158.8 153.7 119.6 159.5 142.2 146.3

205.5 205.7 176.4 206.4 211.1 130.0 215.3 171.3 210.9 225.2 199.0 223.0 216.9 209.2 135.8 226.6 213.8 224.9 206.0 216.0 213.9 216.3 196.6 221.0 213.4 157.1 210.9 186.6 193.5

216.5 208.9 193.3 215.2 215.4 151.2 220.7 188.3 220.6 230.8 201.3 237.4 213.9 214.6 152.9 228.1 215.4 240.5 215.8 217.0 222.7 233.3 206.5 226.5 223.8 174.0 212.2 201.1 203.7

216.4 226.7 188.8 224.8 229.5 152.8 230.2 195.4 213.1 240.0 222.4 235.9 214.7 226.9 159.9 244.5 230.7 238.1 220.6 235.8 227.2 234.6 217.1 240.7 222.6 176.2 228.7 206.4 208.7

177.1 186.7 177.1 202.1 196.6 133.9 195.8 182.0 187.4 211.9 184.6 233.6 192.2 199.1 140.3 195.4 215.2 200.2 204.8 204.5 196.1 200.4 189.9 211.6 219.4 160.3 202.3 181.3 185.6

171.1 148.4 154.5 191.6 177.9 139.8 174.4 167.5 171.6 172.6 144.2 218.3 166.9 177.3 149.8 175.7 117.0 192.6 190.5 186.0 147.3 208.8 147.6 166.7 199.1 159.7 166.2 124.4 165.9

(continued)

131.8 142.1 126.9 144.0 142.3 108.8 153.3 132.7 146.6 151.7 134.3 153.3 139.6 143.1 107.4 144.9 164.9 165.2 149.6 149.7 149.9 148.1 135.3 155.3 150.1 117.0 142.7 127.0 137.7

Appendix 1 193

10.0 12.1 8.0 4.8 4.2 4.6 25.8 3.7 4.7 4.9 4.7 18.2 28.2 8.1 4.8 23.7 7.4 19.1 9.5

1.7 3.0

Etelä-Pohjanmaa Municipality 4 Alahärmä 5 Alajärvi

10.0 9.3

24.3 17.7 28.4 21.9 21.3 22.5 26.7 21.1 22.2 23.3 22.6 25.4 22.2 26.2 24.0 27.6 20.8 21.6 22.8

52.5 57.7

106.5 107.5 111.3 92.4 99.5 91.9 114.9 96.9 111.1 99.7 90.1 113.6 110.4 103.7 108.2 119.6 98.4 112.9 103.9

(m3/ha)

(m3/ha)

(m3/ha)

21–40 years

Open regene- 1–20 ration site years

Etelä-Savo Municipality 46 Enonkoski 90 Heinävesi 97 Hirvensalmi 171 Joroinen 178 Juva 213 Kangasniemi 246 Kerimäki 491 Mikkeli 507 Mäntyharju 588 Pertunmaa 593 Pieksämäki 618 Punkaharju 623 Puumala 681 Rantasalmi 696 Ristiina 740 Savonlinna 741 Savonranta 768 Sulkava Total

Table 4b (continued)

87.9 88.2

155.9 146.4 165.0 134.1 145.9 141.4 155.3 157.9 157.6 167.0 129.4 174.1 152.0 161.8 157.7 161.0 142.6 157.9 151.3

(m3/ha)

41–60 years

129.1 130.1

217.9 222.6 208.7 215.6 210.0 191.4 202.2 198.0 197.5 217.4 202.9 205.2 187.5 222.7 209.8 194.2 220.7 191.6 203.8

(m3/ha)

61–80 years

137.9 136.4

234.7 223.2 231.5 238.0 233.0 231.4 216.7 229.2 223.2 225.5 224.8 227.7 196.4 232.8 228.8 214.7 236.3 240.1 225.9

(m3/ha)

81–100 years

148.4 134.8

207.4 193.5 211.8 232.2 214.1 231.7 204.3 232.8 200.7 212.7 217.1 244.4 160.2 217.6 198.3 203.6 168.8 203.9 212.1

(m3/ha)

101–120 years

141.3 133.1

244.2 236.8 220.7 252.7 228.9 222.1 240.0 222.1 238.4 225.4 211.2 260.4 189.3 201.3 197.4 227.6 249.3 230.3 225.2

(m3/ha)

121–140 years

84.6 124.0

255.3 213.3 187.8 174.5 191.7 180.7 171.5 202.4 176.0 110.0 180.5 233.2 243.4 224.7 192.0 228.0 234.9 252.8 206.9

(m3/ha)

141+ years

84.5 92.9

136.6 125.8 141.3 135.7 139.2 134.9 132.3 137.6 128.5 132.4 128.4 144.2 133.7 130.2 138.3 134.5 130.4 132.4 133.8

(m3/ha)

Forest land total

194 Appendix 1

Alavus Evijärvi Halsua Himanka Ilmajoki Isojoki Isokyrö Jalasjärvi Jurva Kannus Karijoki Kauhajoki Kauhava Kaustinen Kortesjärvi Kuortane Kurikka Kälviä Laihia Lappajärvi Lapua Lehtimäki Lestijärvi

Lohtaja Nurmo Perho Seinäjoki Soini Teuva Toholampi

10 52 74 95 145 151 152 164 175 217 218 232 233 236 281 300 301 315 399 403 408 414 421

429 544 584 743 759 846 849

0.8 1.6 10.5 3.2 5.1 1.0 0.6

2.4 1.9 0.8 2.1 0.7 1.6 0.4 2.2 0.5 1.2 0.8 1.1 1.0 0.7 1.0 0.6 1.3 1.5 0.3 1.6 1.8 2.7 1.6

12.4 12.0 7.8 10.3 10.6 16.5 16.9

10.1 10.0 13.9 13.6 12.9 19.1 12.8 11.4 19.7 13.0 18.3 14.1 9.4 12.7 9.9 9.7 11.2 14.9 18.7 12.8 11.9 9.7 13.2 58.4 59.7 51.7 60.6 61.6 52.0 63.6

60.0 58.5 53.4 60.4 67.9 52.0 63.2 62.0 58.7 60.3 55.4 46.1 55.3 51.5 55.1 55.1 59.7 60.0 67.1 58.6 68.7 60.4 57.3 86.9 76.9 70.9 86.7 90.8 97.3 89.3

94.1 84.5 69.5 96.4 108.3 85.9 92.0 89.2 106.0 86.3 95.0 71.5 91.6 83.0 82.1 106.0 95.9 80.1 93.9 91.0 88.8 93.5 76.8 120.2 113.7 115.6 125.3 138.0 119.6 119.8

132.1 125.5 109.2 118.1 121.0 130.6 123.0 130.3 121.8 119.2 129.8 110.6 131.1 110.5 131.3 130.2 126.7 111.2 128.4 126.1 119.8 119.7 118.4 141.4 138.0 122.9 136.5 144.2 152.8 141.3

146.2 151.0 119.1 166.7 142.6 163.5 167.0 146.6 168.3 151.3 150.5 149.6 144.8 122.5 137.3 153.5 146.1 142.4 182.1 139.0 156.4 121.5 125.6 136.5 156.3 91.2 133.0 142.4 153.9 151.4

142.0 169.5 123.0 164.4 167.6 153.5 174.4 149.2 156.2 144.5 154.6 134.8 149.7 134.9 153.3 152.4 155.6 146.6 164.6 148.8 156.1 132.7 140.5 124.2 151.7 140.2 145.3 149.6 132.1 132.4

144.7 164.4 109.9 141.8 150.0 120.1 126.0 161.2 122.4 135.3 158.5 125.8 155.9 135.5 158.3 170.5 154.5 137.9 131.9 148.0 167.3 152.3 128.5 94.1 95.9 168.4 120.4 128.6 132.7 104.9

122.3 109.4 105.2 84.2 105.7 130.9 106.4 117.6 154.9 97.0 127.5 106.9 117.8 125.1 107.8 122.9 118.5 97.3 147.8 114.2 110.8 99.6 133.9

(continued)

87.1 91.3 67.0 90.9 98.6 101.0 94.1

98.5 93.0 73.2 101.6 106.6 104.0 94.7 99.0 107.3 93.0 103.6 81.6 94.2 82.7 88.6 103.8 99.7 89.7 106.1 96.5 100.8 94.8 84.2

Appendix 1 195

Töysä Ullava Veteli Vimpeli Vähäkyrö Ylihärmä Ylistaro Ähtäri

Keski-Suomi Municipality 77 Hankasalmi 172 Joutsa 179 Jyväskylä 180 Jyväskylän mlk 182 Jämsä 183 Jämsänkoski 216 Kannonkoski 226 Karstula 249 Keuruu 256 Kinnula 265 Kivijärvi 275 Konnevesi 277 Korpilahti 291 Kuhmoinen

863 885 924 934 942 971 975 989 Total

Table 4b (continued)

4.0 7.2 4.8 4.0 5.6 4.0 3.7 3.1 3.5 3.3 2.5 3.0 5.2 6.5

0.4 0.4 6.0 6.2 0.1 3.2 1.0 2.1 1.7

21.3 30.3 25.8 22.6 24.0 21.5 17.8 16.2 18.2 13.2 14.0 18.9 24.3 24.0

11.9 16.8 13.5 11.9 17.9 12.6 13.3 12.7 12.7

96.7 101.0 99.2 96.9 93.7 92.6 86.1 74.1 80.2 70.1 76.4 95.7 97.3 92.9

61.1 61.4 55.4 56.4 80.0 59.8 64.6 67.2 58.1

(m3/ha)

(m3/ha)

(m3/ha)

21–40 years

Open regene- 1–20 ration site years

152.2 165.8 156.3 150.3 150.4 136.9 118.7 97.6 114.8 93.8 105.8 145.6 154.5 150.3

106.4 86.4 81.8 85.3 72.9 87.3 98.1 96.1 86.4

(m3/ha)

41–60 years

216.5 221.3 214.8 209.7 205.3 192.6 157.9 133.4 164.2 121.1 136.4 206.6 210.2 199.9

137.8 110.2 125.7 133.0 139.1 139.0 130.7 129.3 123.9

(m3/ha)

61–80 years

224.5 240.1 233.5 225.4 228.5 214.5 192.3 178.6 193.6 157.0 177.2 218.0 230.4 232.8

147.2 124.1 158.7 146.5 184.6 141.2 141.7 157.2 147.3

(m3/ha)

81–100 years

219.5 240.4 225.5 226.6 227.3 223.8 198.5 188.4 205.8 169.7 188.2 215.4 227.0 216.9

164.7 135.8 149.5 134.9 168.1 141.5 169.6 162.4 149.0

(m3/ha)

101–120 years

187.0 187.1 179.5 179.4 186.1 194.1 168.4 171.5 200.1 156.9 167.0 179.3 175.1 154.9

169.7 153.9 144.5 141.3 170.5 150.6 141.4 178.1 145.4

(m3/ha)

121–140 years

169.4 162.2 157.5 163.8 175.4 152.1 193.4 185.9 167.6 175.0 185.1 164.7 150.1 165.4

136.4 113.3 147.4 137.7 145.3 102.0 99.7 155.1 121.4

(m3/ha)

141+ years

138.6 141.1 132.5 134.3 140.1 123.3 110.1 97.2 110.2 85.2 98.8 128.7 133.5 137.2

106.2 91.8 93.7 92.6 99.7 91.6 96.7 100.9 93.9

(m3/ha)

Forest land total

196 Appendix 1

Kyyjärvi Laukaa Leivonmäki Luhanka Multia Muurame Petäjävesi Pihtipudas Pylkönmäki Saarijärvi Toivakka Uurainen Viitasaari Äänekoski

Pohjois-Savo Municipality 140 Iisalmi 174 Juankoski 204 Kaavi 227 Karttula 239 Keitele 263 Kiuruvesi 297 Kuopio 402 Lapinlahti 420 Leppävirta 476 Maaninka

312 410 415 435 495 500 592 601 633 729 850 892 931 992 Total

12.7 9.2 5.3 6.4 4.6 13.2 6.5 10.9 1.8 8.7

2.1 3.4 4.0 7.2 3.4 4.0 3.8 3.6 3.2 3.3 4.4 3.4 6.4 2.9 4.1

16.2 19.8 20.4 23.3 16.7 17.9 23.5 17.4 23.6 19.7

13.8 21.0 22.8 28.0 16.1 24.0 20.1 15.6 15.3 18.0 23.5 19.8 17.0 21.2 19.7

77.7 84.8 83.9 91.2 80.7 68.7 90.5 79.3 91.5 88.0

60.9 97.1 93.2 97.8 79.5 98.6 91.6 77.3 78.4 89.9 96.3 90.2 87.3 94.1 87.0

127.2 141.2 129.2 140.6 116.9 105.5 153.1 129.0 158.1 140.7

82.7 147.7 129.7 159.3 101.9 153.7 130.3 105.9 100.8 123.3 149.7 124.4 128.8 135.3 125.6

169.8 193.1 175.3 203.6 162.9 129.1 218.8 173.6 227.7 201.1

111.9 208.3 189.6 211.5 151.5 212.1 186.6 136.5 143.5 173.7 205.9 180.5 174.3 189.6 178.5

216.8 229.6 222.8 214.7 186.4 173.1 231.4 209.0 232.5 218.7

146.8 222.7 212.9 239.6 190.8 231.7 207.3 173.4 183.6 207.2 219.9 202.5 197.1 208.3 207.2

217.5 210.2 186.6 203.9 205.4 200.8 212.1 215.1 204.8 221.3

155.2 223.2 225.8 226.9 193.9 226.4 223.5 198.7 190.8 217.9 221.7 221.9 209.9 214.5 210.5

206.4 182.8 166.5 180.9 181.1 209.0 189.9 196.0 189.6 191.6

155.5 173.3 170.0 161.6 186.5 175.0 181.0 167.9 174.5 179.3 169.3 171.8 183.7 174.7 177.2

192.9 206.6 203.0 183.2 189.9 154.6 192.1 194.7 153.1 201.1

164.0 164.2 156.0 156.1 186.0 163.0 158.4 179.5 181.7 198.8 164.2 166.1 185.2 175.3 174.5

(continued)

111.3 123.7 126.5 126.5 112.4 95.5 135.9 117.8 145.0 131.4

83.0 132.2 132.1 133.3 104.1 130.4 119.7 100.5 100.0 117.6 132.4 120.9 113.1 125.8 118.4

Appendix 1 197

Nilsiä Pielavesi Rautalampi Rautavaara Siilinjärvi Sonkajärvi Suonenjoki Tervo Tuusniemi Varkaus Varpaisjärvi Vesanto Vieremä

Pohjois-Karjala Municipality 45 Eno 146 Ilomantsi 167 Joensuu 176 Juuka 248 Kesälahti 260 Kitee 276 Kontiolahti 309 Outokumpu

534 595 686 687 749 762 778 844 857 915 916 921 925 Total

Table 4b (continued)

3.3 0.4 4.8 3.0 10.3 3.8 14.6 6.6

12.5 10.7 2.7 8.5 8.7 10.8 2.0 8.1 3.9 5.0 12.5 4.4 11.5 8.3

15.0 14.4 19.0 14.5 25.6 25.3 20.8 27.5

20.8 17.8 21.6 15.9 18.1 15.6 20.7 21.4 22.6 23.7 17.6 18.6 17.3 19.4

82.7 77.4 98.3 78.3 114.0 106.4 88.2 111.8

82.3 79.3 95.4 71.1 86.1 66.9 91.0 91.6 87.1 102.7 77.2 91.9 68.2 81.1

(m3/ha)

(m3/ha)

(m3/ha)

21–40 years

Open regene- 1–20 ration site years

119.1 94.5 118.3 99.0 128.6 132.2 125.9 136.9

139.4 121.2 147.0 110.2 145.8 105.8 144.0 140.7 146.5 158.6 127.1 135.5 105.9 127.3

(m3/ha)

41–60 years

141.6 106.9 161.7 141.1 158.7 191.9 174.5 181.1

191.1 161.8 209.8 120.4 210.2 121.5 208.6 199.1 205.9 234.4 164.6 191.9 130.8 174.0

(m3/ha)

61–80 years

202.6 146.3 196.8 160.7 185.4 224.2 215.0 164.8

225.6 193.7 214.5 182.6 223.8 178.9 208.9 217.0 232.9 231.3 209.0 205.2 180.3 208.6

(m3/ha)

81–100 years

169.5 168.1 215.9 191.4 191.7 222.5 215.9 239.5

220.3 211.7 208.0 165.8 222.6 167.8 202.0 215.3 191.3 225.8 210.0 213.9 178.8 201.4

(m3/ha)

101–120 years

154.7 174.2 190.9 179.9 166.6 203.6 158.2 190.0

196.6 188.1 171.1 167.3 199.1 178.1 167.0 192.3 160.8 208.4 191.0 188.2 195.6 186.4

(m3/ha)

121–140 years

183.6 187.6 167.2 168.8 201.0 196.3 139.7 252.9

200.5 190.1 164.3 194.5 203.8 190.7 163.9 202.7 183.6 176.5 186.2 183.8 181.7 184.6

(m3/ha)

141+ years

102.7 93.5 114.9 103.2 117.5 121.8 117.7 130.1

123.6 113.6 124.0 98.0 122.2 93.4 133.3 122.3 123.1 138.1 114.7 119.4 93.8 116.8

(m3/ha)

Forest land total

198 Appendix 1

2.4 3.5 3.2 7.6 4.7

Pohjois-Pohjanmaa Municipality 9 Alavieska 69 Haapajärvi 71 Haapavesi 72 Hailuoto 84 Haukipudas

4.5 24.9 1.5 9.3 6.5 3.4 0.9 1.4 5.2

3.4 10.0 4.6 11.3 4.5 4.5 5.7 3.0 22.1 6.2

Lieksa Liperi Nurmes Polvijärvi Pyhäselkä Rääkkylä Tohmajärvi Valtimo

Kainuu Municipality 105 Hyrynsalmi 205 Kajaani 290 Kuhmo 578 Paltamo 620 Puolanka 697 Ristijärvi 765 Sotkamo 777 Suomussalmi 785 Vaala Total

422 426 541 607 632 707 848 911 Total

13.6 16.9 16.2 10.3 13.4

13.1 14.2 12.6 12.7 11.8 12.7 13.6 12.3 12.4 12.7

16.8 22.8 16.0 18.9 29.4 22.5 24.3 14.3 18.5

58.0 70.7 60.8 52.0 53.8

60.4 69.6 60.1 71.0 53.4 63.7 72.4 50.6 51.7 60.0

78.6 108.4 61.8 102.0 102.7 100.8 95.4 68.9 85.8

82.4 100.3 92.0 79.9 84.7

70.2 80.7 72.3 86.9 61.6 79.1 86.6 57.9 64.3 71.6

97.0 148.2 94.4 121.3 139.2 161.3 124.1 93.1 108.0

114.2 116.6 113.0 120.0 108.8

76.9 91.2 76.4 100.5 71.2 84.3 90.7 62.9 87.5 79.0

110.7 207.9 123.2 173.3 229.7 217.4 164.7 117.5 139.2

127.4 147.5 136.6 113.0 119.2

104.9 119.2 104.3 122.3 95.9 112.1 117.8 95.1 105.4 105.2

156.6 210.7 143.8 168.5 199.0 210.3 215.5 141.7 174.1

130.5 134.7 143.3 128.1 121.3

125.8 126.7 147.0 140.6 123.8 135.0 142.1 116.6 127.2 131.3

178.0 204.3 183.5 214.4 231.3 197.9 193.6 171.5 191.5

149.8 150.1 162.8 100.1 107.5

170.0 148.6 184.0 174.0 153.4 178.0 187.4 154.7 102.6 167.1

163.9 168.3 182.8 159.6 149.8 176.8 154.0 169.0 173.1

116.8 132.0 129.6 108.5 120.1

176.4 147.4 194.4 167.6 168.4 181.1 181.8 164.1 121.4 173.9

185.3 216.8 197.6 176.5 233.5 163.6 221.6 178.4 186.8

(continued)

88.3 98.2 96.9 76.4 81.7

78.7 80.8 83.8 85.6 73.2 81.8 85.1 72.4 73.8 78.9

97.0 121.9 92.1 114.8 120.2 129.8 114.2 84.6 104.5

Appendix 1 199

139 208 244 247 255 305 317 425 436 483 494 535 563 564 567 603 615 617 625 626 630 678 682 691 746 748

Ii Kalajoki Kempele Kestilä Kiiminki Kuusamo Kärsämäki Liminka Lumijoki Merijärvi Muhos Nivala Oulainen Oulu Oulunsalo Piippola Pudasjärvi Pulkkila Pyhäjoki Pyhäsalmi Pyhäntä Raahe Rantsila Reisjärvi Sievi Siikajoki

Table 4b (continued)

4.3 1.2 2.2 11.7 5.5 4.9 4.6 0.6 3.1 2.5 2.9 2.9 2.6 4.7 1.1 8.5 6.5 5.4 1.0 3.7 19.6 0.3 5.4 1.1 1.2 1.9

12.7 14.5 12.1 12.0 14.1 11.0 14.3 13.1 13.4 16.8 11.3 14.7 12.3 13.7 12.2 12.6 11.6 11.4 16.9 17.7 13.2 14.0 10.9 12.0 9.8 10.9

54.2 54.0 56.3 56.3 56.5 50.5 64.7 47.9 61.1 63.9 44.8 62.8 56.4 61.9 56.2 60.6 53.2 62.0 57.4 67.7 63.1 61.2 52.1 77.0 67.3 55.6

(m3/ha)

(m3/ha)

(m3/ha)

21–40 years

Open regene- 1–20 ration site years 82.4 83.1 80.9 69.6 87.0 59.2 90.0 72.2 89.0 91.6 69.0 102.0 92.3 89.8 83.8 81.2 60.1 84.9 87.8 100.5 71.5 91.1 70.3 96.5 82.7 79.7

(m3/ha)

41–60 years 95.7 105.3 94.8 92.4 105.2 80.7 112.2 95.1 109.8 112.5 91.4 134.3 116.3 111.9 102.2 99.2 72.1 105.7 111.1 106.6 89.4 112.1 93.8 107.0 106.6 97.6

(m3/ha)

61–80 years 111.7 116.9 114.7 115.1 116.1 83.1 137.5 101.2 111.3 132.7 101.9 130.3 118.8 123.7 118.3 121.4 88.0 126.3 120.8 131.3 114.3 120.2 114.3 147.2 126.5 112.9

(m3/ha)

81–100 years 116.0 113.8 123.8 114.0 134.2 101.8 138.9 108.8 126.6 138.5 123.7 140.3 131.1 131.5 129.1 116.3 98.3 124.7 123.5 107.2 117.4 142.6 116.6 133.8 116.3 130.2

(m3/ha)

101–120 years 118.4 82.0 85.3 112.8 112.1 126.3 146.8 83.6 105.6 143.3 86.4 144.2 136.6 114.5 98.3 132.4 125.9 134.5 111.6 154.0 131.3 119.8 111.9 120.5 92.7 103.5

(m3/ha)

121–140 years 102.4 135.8 95.8 125.0 123.3 126.4 161.7 116.4 89.9 112.4 128.5 133.7 120.4 110.4 100.0 120.7 135.9 129.2 142.7 137.8 139.1 98.7 112.0 117.5 133.7 98.0

(m3/ha)

141+ years 79.7 78.7 78.1 80.6 86.5 68.6 95.5 73.0 81.1 96.3 73.3 97.6 90.2 92.0 83.8 86.5 67.7 92.4 84.1 89.6 83.8 90.1 80.7 87.7 82.5 80.9

(m3/ha)

Forest land total

200 Appendix 1

Taivalkoski Tyrnävä Utajärvi Vihanti Yli-Ii Ylikiiminki Ylivieska

Lapland Municipality 47 Enontekiö 148 Inari 240 Kemi 241 Keminmaa 261 Kittilä 273 Kolari 320 Kemijärvi 498 Muonio 583 Pelkosenniemi 614 Posio 683 Ranua 698 Rovaniemi 732 Salla 742 Savukoski 751 Simo 758 Sodankylä 845 Tervola

832 859 889 926 972 973 977 Total

8.2 12.5 7.8 9.0 13.0 13.1 10.2 4.4 10.2 7.6 12.1 12.8 8.5 13.0 4.4 13.3 5.1

7.1 0.2 2.6 1.6 4.5 1.7 2.7 4.0

14.3 11.8 16.1 12.7 13.1 15.6 13.4 17.4 12.9 11.1 13.8 15.1 12.2 12.0 12.7 12.1 12.9

11.0 12.2 11.0 12.1 12.7 11.7 11.5 12.4

19.0 18.9 76.5 59.5 37.9 39.7 44.9 35.6 48.5 46.4 41.3 36.9 48.0 39.6 60.5 33.6 50.4

58.4 43.0 57.8 56.8 47.9 53.8 59.8 56.6

40.8 38.8 64.1 67.3 44.7 48.3 54.1 49.1 58.5 58.9 51.6 51.2 59.8 52.7 68.4 41.6 55.7

59.7 68.0 68.1 81.1 69.7 82.6 87.1 75.4

38.0 56.6 90.1 92.0 49.3 61.9 59.6 51.6 62.0 69.1 61.8 61.1 65.0 59.4 73.8 50.4 74.9

76.8 89.0 79.5 102.6 81.8 91.7 116.0 93.6

48.3 55.4 146.1 133.0 66.5 77.7 80.7 73.3 74.7 71.7 77.9 79.0 76.5 72.8 94.5 59.2 96.7

87.0 99.0 96.2 122.3 101.2 106.7 121.2 110.4

73.0 62.1 109.7 108.8 71.1 87.4 82.5 84.6 91.7 85.5 91.2 92.8 81.1 79.2 101.4 67.0 116.2

104.4 107.1 113.2 132.9 108.8 129.1 127.4 117.4

50.1 62.1 132.5 121.7 63.5 92.3 88.5 62.9 91.1 101.7 91.7 94.5 102.8 66.6 126.5 68.5 97.1

133.1 77.6 101.7 133.6 114.7 105.8 141.2 123.7

79.7 86.4 151.2 121.6 81.4 91.2 95.4 98.2 91.2 106.2 89.1 91.9 87.0 78.7 102.5 76.9 103.6

141.0 116.2 166.1 118.3 108.7 98.1 114.3 131.0

(continued)

54.9 64.5 70.3 73.4 54.3 61.3 59.9 65.2 59.4 64.2 54.3 58.9 62.2 58.4 71.7 54.1 68.6

71.9 70.8 75.8 86.7 71.7 82.8 86.8 78.7

Appendix 1 201

851 854 890 976 Total

Tornio Pello Utsjoki Ylitornio

Table 4b (continued)

7.5 16.1 – 6.9 11.4

14.5 15.0 10.6 13.6 13.3

51.7 39.7 44.0 43.4 40.3

(m3/ha)

(m3/ha)

(m3/ha)

21–40 years

Open regene- 1–20 ration site years 68.3 53.2 71.7 55.7 51.3

(m3/ha)

41–60 years 94.4 65.1 41.9 65.4 59.6

(m3/ha)

61–80 years 118.4 83.3 21.4 86.1 71.0

(m3/ha)

81–100 years 114.5 95.8 51.9 92.3 81.3

(m3/ha)

101–120 years 109.0 93.1 48.6 102.2 84.1

(m3/ha)

121–140 years 119.8 92.9 62.2 91.9 85.6

(m3/ha)

141+ years 71.8 60.0 53.9 62.3 60.0

(m3/ha)

Forest land total

202 Appendix 1

Brändö Eckerö Finström Föglö Geta Hammarland Jomala Kumlinge Kökar Lemland Lumparland Mariehamn Saltvik Sottunga Sund Vårdö

34 52 13 0 5 19 33 9 – 34 4 5 14 1 13 11 241

Rannikko/Etelärannikko Municipality 40 Dragsfjärd 103 49 Espoo-Esbo 4 78 Hanko-Hangö 7

35 43 60 62 65 76 170 295 318 417 438 478 736 766 771 941 Total

Åland Municipality

(ha)

0.7 0.0 0.1

650 512 206

1.2 21 0.9 209 0.2 313 0.0 164 0.2 132 0.3 244 0.4 368 0.3 70 – 96 0.5 254 0.2 60 1.1 35 0.2 184 0.2 35 0.2 199 0.3 110 0.4 2,500

(ha)

4.3 3.4 3.0

1,495 1,457 526

9.9 9.6 7.7

9.6 15.6 18.9 15.4 16.7 17.1 17.0 16.7 21.4 18.9 15.1 23.2 14.1 22.5 16.1 15.8 16.5

(%)

Advanced seedling stand

0.7 278 3.8 862 4.9 1,194 2.7 957 4.0 554 3.5 1,189 4.9 1,287 2.2 539 7.3 278 4.0 1,197 3.5 256 7.5 107 3.0 880 3.9 197 3.9 831 2.9 591 3.7 11,197

(%)

Young seedling stand

(%) (ha)

Open regeneration site

2,363 3,965 2,316

312 1,099 1,305 983 613 1,502 1,623 355 188 1,355 293 87 1,095 109 1,038 596 12,554

(ha)

(ha)

15.7 26.0 33.8

5,959 39.5 4,936 32.4 2,597 37.9

29.5 27.8 28.1 32.9 30.1 29.2 27.3 33.3 38.0 28.1 30.5 25.9 31.5 30.7 28.8 31.0 29.7

(%)

Advanced thinning stand

10.8 857 19.9 1,532 20.6 1,781 15.9 2,041 18.5 1,002 21.6 2,027 21.5 2,061 11.0 1,073 14.4 495 21.3 1,784 17.3 517 19.0 119 17.6 1,962 12.4 268 20.1 1,484 16.0 1,159 18.5 20,162

(%)

Young thinning stand

Table 5a Development class distribution on forest land (By forestry centres).

48.2 28.1 24.2 29.4 26.1 25.0 26.1 33.8 14.7 24.2 29.9 19.6 30.0 25.5 27.8 30.0 27.9

(%)

4,266 28.3 3,969 26.0 992 14.5

1,398 1,548 1,532 1,819 869 1,740 1,971 1,090 191 1,535 507 90 1,870 223 1,431 1,120 18,932

(ha)

Mature stand

0.0 2.9 2.3 2.9 3.3 2.6 2.1 2.6 4.0 2.4 2.3 2.8 2.8 4.4 2.5 2.9 2.5

(%)

112 0.7 135 0.9 113 1.7

1 158 145 181 111 180 156 83 52 153 39 13 177 39 131 108 1,727

(ha)

Shelterwood stand

– 1.0 0.8 0.8 1.1 0.7 0.7 0.2 0.2 0.6 1.0 0.8 0.8 0.3 0.6 1.0 0.7

143 1.0 278 1.8 89 1.3

– 55 48 52 37 52 52 6 3 37 16 4 49 3 30 38 481

(ha) (%)

Seed tree stand

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(%)

(continued)

15,092 100.0 15,256 100.0 6,845 100.0

2,901 5,515 6,330 6,196 3,323 6,953 7,551 3,225 1,304 6,350 1,693 459 6,231 874 5,157 3,732 67,794

(ha)

Forest land total

Appendix 1 203

753

424 434 533 573 585 606 638 701

279 407

243 257

149 150 220 235

92 101

91

HelsinkiHelsingfors Vantaa-Vanda HoutskärHoutskari Ingå-Inkoo Iniö Karis-Karjaa KauniainenGrankulla Kimito-Kemiö KirkkonummiKyrkslätt Korpo-Korppoo LapinjärviLappträsk Liljendal Loviisa-Lovisa Nagu-Nauvo Pargas-Parainen Pernå-Pernaja Pohja-Pojo Porvoo-Borgå RuotsinpyhtääStrömfors Sipoo-Sibbo

Table 5a (continued)

175

32 6 0 28 276 76 254 124

0 104

57 71

229 – 170 –

45 –

36

(ha)

865 110 676 7

396 264

349

380 573

0.9 1,108

0.6 161 0.2 86 0.0 507 0.2 825 1.1 1,199 0.5 468 0.7 2,187 0.8 759

0.0 0.6

0.3 812 0.4 1,063

1.3 – 1.5 –

0.5 –

0.6

5.7

2.8 3.1 3.9 5.7 4.6 3.1 6.0 4.7

4.5 3.3

4.7 5.7

5.0 3.0 6.0 3.4

3.9 3.9

5.4

(%)

Young seedling stand

(%) (ha)

Open regeneration site

15.5 6.7

9.2 9.6

9.0 8.8 12.7 9.3

15.7 12.5

18.7

(%)

2,630 13.4

427 7.4 207 7.6 1,275 9.8 1,444 9.9 2,693 10.4 1,974 13.3 5,047 13.9 1,387 8.6

1,301 1,162

1,593 1,789

1,567 326 1,437 19

1,586 847

1,222

(ha)

Advanced seedling stand

5,306

2,102 986 1,861 2,383 8,983 5,357 10,564 6,514

1,138 6,199

3,175 4,071

3,314 549 3,046 57

2,949 1,149

1,835

(ha)

(%)

34.8 30.9 33.2 31.3

2,743 32.7 5,786 33.6

7,063 40.6 5,896 31.5

6,046 1,141 3,747 63

3,096 30.6 1,424 21.0

1,597 24.5

(ha)

Advanced thinning stand

27.1

6,711 34.3

36.5 1,903 33.1 35.9 811 29.5 14.3 5,911 45.5 16.4 5,504 37.8 34.8 7,721 29.9 36.0 4,222 28.3 29.0 12,179 33.4 40.6 4,328 27.0

13.6 36.0

18.3 21.8

19.1 14.9 27.0 28.4

29.2 16.9

28.1

(%)

Young thinning stand (%)

25.9 37.3 17.2 24.9

17.5 21.9 22.5 24.7 17.4 17.4 15.5 16.5 3,317 16.9

1,005 600 2,930 3,595 4,497 2,586 5,627 2,648

2,398 28.6 3,117 18.1

4,066 23.4 4,726 25.3

4,496 1,375 1,943 50

1,830 18.1 2,562 37.8

1,152 17.7

(ha)

Mature stand (%)

0.5 0.1 0.5 0.9

0.6 0.1 0.8 2.5 0.2 0.6 0.4 0.1 171 0.9

32 2 105 365 63 92 133 18

24 0.3 67 0.4

208 1.2 150 0.8

85 3 58 2

94 0.9 4 0.1

125 1.9

(ha)

Shelterwood stand

4.4 5.1 1.9 1.8

1.7 1.8 3.2 2.8 1.5 0.8 1.2 1.8 172 0.9

96 49 416 410 392 123 439 280

416 5.0 232 1.4

415 2.4 947 5.1

769 189 217 4

117 1.2 533 7.9

210 3.2

(ha) (%)

Seed tree stand

(%)

100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 19,591 100.0

5,759 2,747 13,006 14,554 25,824 14,898 36,430 16,058

8,400 100.0 17,240 100.0

17,390 100.0 18,714 100.0

17,372 3,692 11,293 201

10,113 100.0 6,782 100.0

6,526 100.0

(ha)

Forest land total

204 Appendix 1

Siuntio-Sjundeå EkenäsTammisaari Västanfjärd

23 2,012

60 132

Rannikko/Pohjanmaa Municipality 231 Kaskinen-Kaskö 3 272 Kokkola226 Karleby 280 Korsnäs 277 287 Kristinestad289 Kristiinan kaupunki 288 Kronoby442 Kruunupyy 440 Larsmo-Luoto 162 475 Malax-Maalahti 623 499 Korsholm571 Mustasaari 545 Närpes-Närpiö 459 559 Oravais295 Oravainen 598 Jakobstad145 Pietarsaari 599 Pedersöre787 Pedersören kunta 893 Nykarleby1,110 Uusikaarlepyy

923 Total

755 835

56 1,415

1,132 2,196

2,864

899 2,277 3,556

3,552 831

374

3,132

2,998

0.5 1.1

1.6 0.6

0.9

1.7 1.8 1.1

0.7 2.3

2.6

1.5

2.3

0.4 321 0.6 16,756

0.5 473 0.3 1,800

1,433 11.6 4,896 11.2

6.1

5.8

6.7

5.5 6.6

9.2 6.5 6.6

5.9

6.5 4.6

8.6 6.8

8,743 17.9

9,863 18.2

1,101 19.8

9,784 15.2 2,333 18.4

2,364 24.3 6,620 18.8 9,057 16.8

8,831 18.1

2,702 15.5 6,604 13.9

98 15.1 4,115 19.7

5.6 519 9.1 4.6 40,261 11.0

3.8 4.1

17,734

19,853

1,703

17,639 3,921

2,671 12,433 15,967

17,390

5,874 12,760

183 6,832

1,008 96,795

2,904 12,701

36.3

36.6

30.7

27.5 31.0

27.5 35.2 29.6

35.6

33.7 26.9

28.4 32.7

10,004

11,764

1,257

19,722 2,643

1,894 7,279 13,439

11,593

4,002 15,571

174 4,664

20.5

21.7

22.6

30.7 20.9

19.5 20.6 24.9

23.8

23.0 32.8

26.9 22.3

17.7 2,129 37.3 26.5 121,349 33.2

23.4 3,815 30.7 29.0 14,022 32.0

7,656

8,325

887

12,476 2,437

1,596 5,884 10,975

7,272

3,363 9,692

132 3,392

15.7

15.4

16.0

19.4 19.3

16.4 16.7 20.3

14.9

19.3 20.4

20.5 16.2

1,436 25.2 77,160 21.1

3,216 25.9 8,759 20.0

7

223

145

27

113 61

7 43 42

31

35 106

–

0.5

0.3

0.5

0.2 0.5

0.1 0.1 0.1

0.1

0.2 0.2

– 0.0

113 2.0 2,867 0.8

114 0.9 479 1.1

12,412 100.0 43,767 100.0

385

366

59

492 135

136 149 343

388

35 291

0 233

0.8

0.7

1.1

0.8 1.1

1.4 0.4 0.6

0.8

0.2 0.6

0.0 1.1

100.0

100.0

100.0

100.0 100.0

100.0 100.0 100.0

100.0

100.0 100.0

100.0 100.0

(continued)

48,853

54,234

5,554

64,237 12,657

9,729 35,308 53,950

48,811

17,422 47,508

646 20,883

154 2.7 5,701 100.0 8,463 2.3 365,663 100.0

396 3.2 978 2.2

Appendix 1 205

Vaasa-Vasa Vörå-MaxmoVöyriMaksamaa

Lounais-Suomi Municipality 6 Alastaro 17 Askainen 19 Aura 50 Eura 51 Eurajoki 73 Halikko 79 Harjavalta 99 Honkajoki 102 Huittinen 181 Jämijärvi 202 Kaarina 214 Kankaanpää 230 Karvia 252 Kiikala 254 Kiikoinen 259 Kisko 262 Kiukainen 271 Kokemäki 284 Koski Tl

Total

905 945

Table 5a (continued)

229 11 46 313 311 50 133 283 319 292 15 665 474 189 151 147 82 484 143

6,024

37 598

(ha)

642 2,278

1.9 0.4 1.2 1.1 1.4 0.3 1.9 1.3 1.6 2.3 0.7 1.5 1.5 1.3 1.6 0.9 1.2 1.7 1.8

597 133 229 1,513 1,284 759 334 727 972 800 135 2,041 1,179 622 512 755 395 1,549 394

1.3 28,200

0.4 1.5

5.0 4.7 5.8 5.3 5.9 4.2 4.7 3.4 4.9 6.3 6.3 4.5 3.7 4.4 5.6 4.5 5.8 5.4 5.0

6.0

6.4 5.9

1,181 309 459 3,173 2,543 2,121 779 2,673 2,184 1,533 298 5,721 3,693 1,430 1,226 1,889 812 3,442 738

9.9 10.9 11.6 11.2 11.8 11.8 10.9 12.6 11.0 12.1 14.0 12.5 11.5 10.2 13.4 11.2 12.0 12.0 9.3

79,941 17.1

1,168 11.7 6,558 16.9

(%)

Advanced seedling stand

(%) (ha)

Young seedling stand

(%) (ha)

Open regeneration site

3,422 485 961 8,987 6,878 4,370 2,454 9,536 6,396 4,757 467 19,148 14,327 3,289 3,404 4,141 2,299 9,660 2,204

149,533

3,129 11,444

(ha)

28.7 17.2 24.3 31.7 31.8 24.4 34.5 44.8 32.3 37.6 21.9 41.9 44.7 23.4 37.1 24.5 33.8 33.6 27.7

31.9

31.3 29.5

(%)

Young thinning stand

3,958 1,198 1,217 8,920 6,573 6,910 2,330 5,292 6,658 3,378 734 11,759 8,296 4,537 2,340 5,616 2,084 8,957 2,632

115,172

2,593 8,573

(ha)

33.2 42.5 30.8 31.5 30.4 38.5 32.7 24.9 33.6 26.7 34.4 25.7 25.9 32.3 25.5 33.2 30.7 31.1 33.1

24.6

25.9 22.1

(%)

Advanced thinning stand

2,209 616 947 4,701 3,471 3,381 889 2,350 2,914 1,625 400 5,426 3,156 3,623 1,392 3,976 981 4,084 1,634

85,310

2,358 8,865

(ha)

18.5 21.8 24.0 16.6 16.1 18.9 12.5 11.0 14.7 12.8 18.7 11.9 9.8 25.8 15.2 23.5 14.5 14.2 20.5

18.2

23.6 22.9

(%)

Mature stand

62 29 20 234 127 135 26 82 63 72 33 278 246 58 51 84 45 64 51

977

1 135

(ha)

Shelterwood stand

80 327

0.5 1.0 0.5 0.8 0.6 0.8 0.4 0.4 0.3 0.6 1.5 0.6 0.8 0.4 0.6 0.5 0.7 0.2 0.6

271 40 76 498 424 206 179 344 311 202 53 654 715 288 103 292 96 534 158

0.2 3,420

0.0 0.4

(%) (ha)

10,008 38,777

2.3 1.4 1.9 1.8 2.0 1.2 2.5 1.6 1.6 1.6 2.5 1.4 2.2 2.1 1.1 1.7 1.4 1.9 2.0

11,929 2,821 3,955 28,339 21,612 17,931 7,124 21,286 19,817 12,659 2,133 45,693 32,087 14,036 9,179 16,899 6,792 28,774 7,954

0.7 468,578

0.8 0.8

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0

100.0 100.0

(%)

Forest land total

(%) (ha)

Seed tree stand

206 Appendix 1

304 308 319 400 406 413 419 423 430 442 480 481 482 484 485 501 503 529 531 537 538 561 577 586 587 602 608 609 631 636 680 684

Kustavi Kuusjoki Köyliö Laitila Lappi Lavia Lemu Lieto Loimaa Luvia Marttila Masku Mellilä Merikarvia Merimasku Muurla Mynämäki Naantali Nakkila Noormarkku Nousiainen Oripää Paimio Perniö Pertteli Piikkiö Pomarkku Pori Pyhäranta Pöytyä Raisio Rauma

26 43 308 291 150 418 20 69 272 174 114 42 63 614 4 33 428 10 187 412 150 87 50 161 53 18 291 547 59 266 18 123

0.3 0.9 2.1 0.9 1.1 1.8 1.1 0.8 1.5 1.5 1.3 1.0 1.8 1.9 0.1 0.8 1.4 0.4 2.1 1.7 1.4 1.6 0.5 0.7 0.8 0.5 1.3 1.9 0.6 1.3 1.0 0.7

221 171 798 1,772 722 1,149 164 474 869 567 420 243 199 1,979 57 186 1,804 102 541 1,496 559 271 580 874 321 228 936 1,984 568 1,004 133 1,006

2.4 3.7 5.4 5.5 5.4 5.0 9.1 5.4 4.9 4.8 4.6 5.7 5.6 6.1 2.2 4.5 5.8 4.3 6.2 6.1 5.2 4.9 5.2 3.8 4.8 6.0 4.1 7.0 5.9 4.9 7.2 5.6

835 456 1,459 3,446 1,511 3,089 229 890 1,755 1,279 980 482 378 5,126 257 465 3,571 271 1,030 3,203 989 555 1,234 2,224 720 453 2,397 4,362 946 2,138 236 2,099

9.2 9.8 9.9 10.6 11.3 13.4 12.7 10.1 9.9 10.8 10.8 11.3 10.6 15.8 9.7 11.2 11.4 11.4 11.8 13.1 9.2 10.0 11.1 9.6 10.9 11.9 10.6 15.5 9.9 10.4 12.8 11.7

1,165 1,156 4,242 10,056 3,983 8,746 412 2,109 4,739 3,543 2,493 1,086 1,078 12,314 333 976 9,413 380 2,891 7,329 2,698 1,496 2,476 5,259 1,575 790 6,662 8,411 2,556 5,516 390 5,124

12.8 24.8 28.8 31.0 29.8 38.0 23.0 23.8 26.6 29.8 27.4 25.5 30.2 38.0 12.5 23.5 30.1 16.1 33.1 30.0 25.0 26.9 22.2 22.8 23.8 20.7 29.3 29.8 26.7 26.9 21.1 28.6

4,564 1,598 4,812 10,071 4,193 6,051 567 2,896 6,129 3,864 2,919 1,391 1,108 7,821 1,281 1,465 9,622 990 2,705 7,097 3,587 1,782 4,303 8,671 2,233 1,427 7,254 7,276 3,368 6,421 638 5,881

50.3 34.2 32.7 31.1 31.4 26.3 31.6 32.7 34.4 32.5 32.1 32.6 31.1 24.1 48.2 35.3 30.8 41.8 31.0 29.1 33.3 32.1 38.6 37.5 33.7 37.4 32.0 25.8 35.2 31.3 34.5 32.9

1,995 1,168 2,617 5,955 2,414 3,189 337 2,193 3,616 2,135 1,970 881 644 3,972 679 943 5,324 544 1,149 4,368 2,438 1,224 2,184 5,422 1,580 769 4,809 4,975 1,905 4,702 366 3,238

22.0 25.0 17.8 18.4 18.1 13.8 18.8 24.8 20.3 18.0 21.6 20.7 18.0 12.2 25.5 22.7 17.0 22.9 13.2 17.9 22.6 22.0 19.6 23.5 23.8 20.2 21.2 17.6 19.9 22.9 19.8 18.1

30 15 125 279 98 135 27 44 104 109 38 47 22 273 11 13 290 33 60 236 86 35 127 91 23 53 188 274 44 109 25 113

0.3 0.3 0.9 0.9 0.7 0.6 1.5 0.5 0.6 0.9 0.4 1.1 0.6 0.8 0.4 0.3 0.9 1.4 0.7 1.0 0.8 0.6 1.1 0.4 0.3 1.4 0.8 1.0 0.5 0.5 1.4 0.6

239 61 366 549 306 259 41 174 326 213 167 92 77 346 36 75 789 41 168 282 275 107 191 415 122 76 169 391 137 369 44 320

2.6 1.3 2.5 1.7 2.3 1.1 2.3 2.0 1.8 1.8 1.8 2.2 2.1 1.1 1.4 1.8 2.5 1.7 1.9 1.2 2.6 1.9 1.7 1.8 1.8 2.0 0.8 1.4 1.4 1.8 2.4 1.8

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

9,075 4,667 14,728 32,419 13,377 23,035 1,796 8,849 17,811 11,884 9,100 4,264 3,567 32,445 2,657 4,156 31,242 2,371 8,730 24,421 10,782 5,558 11,144 23,117 6,626 3,813 22,706 28,219 9,582 20,526 1,852 17,904

Appendix 1 207

Rusko Rymättylä Salo Sauvo Siikainen Somero Suomusjärvi Säkylä Särkisalo-Finby Taivassalo Tarvasjoki Turku-Åbo Ulvila Uusikaupunki Vahto Vampula Vehmaa Velkua Yläne

Häme-Uusimaa Municipality 15 Artjärvi 16 Asikkala 18 Askola 61 Forssa

704 705 734 738 747 761 776 783 784 833 838 853 886 895 906 913 918 920 979 Total

Table 5a (continued)

14 157 164 129

22 18 54 101 628 382 155 179 23 17 40 87 545 376 55 114 72 3 280 12,984

(ha)

0.2 0.4 1.4 0.9

569 2,284 396 981

1.0 125 0.3 197 0.7 393 0.8 776 1.9 1,834 1.2 1,441 1.4 615 1.9 479 0.4 211 0.3 215 0.9 207 1.0 553 2.0 1,563 1.3 1,877 1.3 195 1.7 300 0.8 709 0.2 39 1.2 1,045 1.3 50,101

6.0 5.3 3.3 7.1

10.6 9.0 12.0 12.7 13.5 11.5 12.2 9.0 11.7 10.5 11.6 13.4 12.5 13.0 9.9 9.8 13.9 7.2 10.5 11.7

1,129 11.9 7,965 18.5 1,164 9.6 1,901 13.8

5.5 241 2.8 642 5.3 890 6.5 1,517 5.4 4,573 4.3 3,802 5.6 1,336 5.0 872 4.0 622 3.5 653 4.8 503 6.3 1,177 5.7 3,422 6.6 3,706 4.7 412 4.5 660 7.7 1,276 2.3 122 4.4 2,499 5.1 114,189

(%)

Advanced seedling stand

(%) (ha)

Young seedling stand

(%) (ha)

Open regeneration site

2,898 8,537 3,438 3,027

611 869 1,859 2,836 13,434 9,177 2,579 2,614 1,257 819 1,133 1,991 9,466 7,520 1,121 1,845 2,184 175 6,962 297,033

(ha)

30.7 19.9 28.3 22.0

27.0 12.1 25.1 23.7 39.6 27.7 23.6 27.1 23.7 13.2 26.0 22.6 34.6 26.5 26.8 27.4 23.8 10.4 29.3 30.4

(%)

Young thinning stand

2,188 16,059 3,325 5,284

749 3,460 2,536 4,107 8,828 11,161 3,520 3,199 1,975 2,912 1,410 2,972 7,784 8,410 1,390 2,437 2,939 930 7,798 305,889

(ha)

23.1 37.4 27.3 38.4

33.1 48.3 34.3 34.4 26.0 33.6 32.2 33.2 37.2 46.9 32.4 33.8 28.5 29.6 33.3 36.2 32.1 55.2 32.8 31.4

(%)

Advanced thinning stand

2,260 7,117 3,102 2,260

449 1,737 1,508 2,143 4,080 6,595 2,443 1,941 1,108 1,430 980 1,716 4,059 5,460 882 1,253 1,586 356 4,420 171,623

(ha)

(ha)

23.9 16.6 25.5 16.4

145 512 169 82

19.8 21 24.2 50 20.4 32 17.9 190 12.0 161 19.9 145 22.4 57 20.1 79 20.9 39 23.0 67 22.5 18 19.5 117 14.8 157 19.2 369 21.1 35 18.6 17 17.3 194 21.2 1 18.6 222 17.6 6,890

(%)

Mature stand

Shelterwood stand

1.5 1.2 1.4 0.6

251 370 402 86

0.9 44 0.7 189 0.4 131 1.6 276 0.5 390 0.4 471 0.5 222 0.8 283 0.7 79 1.1 103 0.4 65 1.3 190 0.6 368 1.3 694 0.8 86 0.3 106 2.1 207 0.1 58 0.9 536 0.7 17,169

(%) (ha)

2.7 0.9 3.3 0.6

9,454 43,000 12,160 13,752

2.0 2,262 2.6 7,163 1.8 7,403 2.3 11,946 1.2 33,928 1.4 33,174 2.0 10,927 2.9 9,646 1.5 5,314 1.7 6,217 1.5 4,357 2.2 8,802 1.4 27,364 2.4 28,411 2.1 4,177 1.6 6,733 2.3 9,167 3.4 1,684 2.3 23,763 1.8 975,878

100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(%)

Forest land total

(%) (ha)

Seed tree stand

208 Appendix 1

505 532 540 543 560 576 611 616

81 82 83 86 98 103 106 109 111 165 169 186 210 223 224 245 283 316 398 401 433 444 504

Hartola Hattula Hauho Hausjärvi Hollola Humppila Hyvinkää Hämeenlinna Heinola Janakkala Jokioinen Järvenpää Kalvola Karjalohja Karkkila Kerava Hämeenkoski Kärkölä Lahti Lammi Loppi Lohja-Lojo MyrskyläMörskom Mäntsälä Nastola Nummi-Pusula Nurmijärvi Orimattila Padasjoki Pornainen Pukkila

395 151 270 47 235 241 137 90

109 356 371 255 328 91 189 122 116 552 104 23 230 155 88 6 145 150 19 496 334 125 88

1.2 0.7 0.9 0.3 0.7 0.5 1.6 1.2

0.3 1.4 1.5 1.3 1.1 1.3 1.0 1.1 0.2 1.6 1.3 1.5 1.0 2.0 0.5 0.4 1.2 1.1 0.2 1.3 0.8 0.8 0.7

1,442 1,933 1,865 776 2,543 2,531 337 387

2,911 2,078 1,670 1,315 1,881 439 1,002 875 3,086 2,386 690 76 1,483 453 972 73 705 725 481 2,508 2,749 674 498

4.3 8.5 6.3 4.4 7.3 5.7 4.0 5.2

6.6 8.2 6.8 6.6 6.3 6.1 5.2 8.2 5.4 7.1 8.6 5.1 6.6 6.0 6.0 5.0 5.9 5.3 6.1 6.4 6.6 4.2 4.0 4,104 4,083 4,373 2,727 5,736 6,565 1,228 1,177

7,249 3,787 2,534 2,808 5,455 504 2,518 1,473 9,945 3,780 769 366 3,589 1,201 1,840 316 1,877 2,070 1,848 5,628 4,677 2,171 1,235 12.3 18.0 14.8 15.3 16.5 14.8 14.4 15.8

16.5 15.0 10.3 14.0 18.4 7.0 13.0 13.7 17.5 11.3 9.6 24.5 16.1 15.8 11.4 21.7 15.7 15.2 23.3 14.3 11.3 13.4 10.0 8,908 5,322 7,860 4,938 9,115 9,088 2,665 2,248

11,251 6,353 5,423 5,486 7,583 1,744 5,422 3,006 15,506 9,208 1,677 425 6,109 2,168 3,882 441 3,452 3,902 1,918 10,903 10,640 4,406 3,946 26.7 23.5 26.6 27.7 26.2 20.5 31.3 30.1

25.6 25.1 22.1 27.3 25.5 24.3 27.9 28.0 27.3 27.4 20.9 28.4 27.4 28.5 24.0 30.2 29.0 28.7 24.2 27.8 25.6 27.2 31.9 10,918 6,608 10,599 5,974 8,629 16,802 2,179 1,819

15,675 9,300 10,628 6,276 8,910 3,057 6,691 3,787 15,994 12,208 3,296 378 7,502 2,316 6,168 375 4,091 4,254 2,051 13,836 16,038 5,080 3,198 32.8 29.1 35.9 33.5 24.8 37.8 25.6 24.4

35.7 36.7 43.2 31.3 30.0 42.6 34.4 35.3 28.1 36.3 41.1 25.3 33.6 30.4 38.1 25.7 34.3 31.3 25.9 35.3 38.6 31.4 25.9 6,630 4,081 4,306 2,811 6,896 8,310 1,634 1,444

6,439 3,145 3,871 3,446 4,931 1,096 3,039 1,412 10,577 5,141 1,394 190 3,033 1,254 2,936 210 1,569 2,268 1,301 5,542 6,404 3,391 2,951 19.9 18.0 14.6 15.8 19.8 18.7 19.2 19.3

14.7 12.4 15.8 17.2 16.6 15.3 15.6 13.2 18.6 15.3 17.4 12.7 13.6 16.5 18.1 14.4 13.2 16.7 16.4 14.1 15.4 21.0 23.9 365 344 81 244 581 668 162 97

165 128 44 296 318 254 287 38 1,248 183 71 23 145 – 160 24 71 103 130 273 310 56 129

143 175 36 185 309 0 292 19 389 136 21 16 227 65 160 14 16 135 174 57 406 279 321 1.1 569 1.5 151 0.3 206 1.4 318 1.7 1,068 1.5 214 1.9 181 1.3 201

0.4 0.5 0.2 1.5 1.1 3.5 1.5 0.4 2.2 0.6 0.9 1.5 0.7 – 1.0 1.6 0.6 0.8 1.6 0.7 0.8 0.4 1.0 1.7 0.7 0.7 1.8 3.1 0.5 2.1 2.7

0.3 0.7 0.2 0.9 1.0 0.0 1.5 0.2 0.7 0.4 0.3 1.1 1.0 0.9 1.0 0.9 0.1 1.0 2.2 0.2 1.0 1.7 2.6 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

33,332 22,673 29,559 17,836 34,803 44,419 8,523 7,463

43,942 25,321 24,577 20,066 29,714 7,185 19,441 10,732 56,862 33,594 8,022 1,497 22,318 7,612 16,205 1,459 11,927 13,607 7,922 39,244 41,559 16,183 12,366

Appendix 1 209

Renko Riihimäki Sammatti Sysmä Tammela Tuulos Tuusula Vihti Ypäjä

Kaakkois-Suomi Municipality 44 Elimäki 75 Hamina 142 Iitti 153 Imatra 163 Jaala 173 Joutseno 285 Kotka 286 Kouvola 306 Kuusankoski 405 Lappeenranta 416 Lemi 441 Luumäki 489 Miehikkälä 580 Parikkala

692 694 737 781 834 855 858 927 981 Total

Table 5a (continued)

243 485 404 156 169 315 217 30 61 638 144 471 287 597

109 64 101 205 215 214 88 61 62 7,601

(ha)

1.3 1.1 1.0 1.6 0.5 1.6 1.2 1.4 0.9 1.2 0.9 0.8 0.9 1.4

1,237 2,814 2,159 739 1,606 1,267 1,565 166 334 4,283 984 3,325 1,918 3,303

0.6 1,488 1.0 406 2.3 269 0.4 2,829 0.5 2,592 1.8 1,087 0.8 454 0.2 1,097 0.8 490 0.8 56,487

6.4 6.4 5.5 7.7 4.6 6.3 8.7 7.9 4.9 8.0 6.2 5.7 6.0 7.9

2,862 6,266 6,609 1,237 5,039 2,456 2,731 440 1,211 6,676 2,204 6,979 4,115 8,476

7.9 2,184 6.0 943 6.0 732 5.4 8,549 5.9 6,096 9.1 1,528 4.3 1,799 3.4 3,366 6.2 681 6.0 135,670

(ha)

14.7 14.3 16.8 12.9 14.5 12.2 15.2 20.7 17.7 12.4 13.9 11.9 13.0 20.2

5,219 14,729 12,148 3,017 11,511 6,293 5,012 715 2,415 17,491 4,719 21,655 12,672 14,480

(ha)

26.9 33.7 30.8 31.5 33.1 31.2 28.0 33.7 35.3 32.6 29.8 36.9 39.9 34.5

5,526 10,954 10,254 2,772 7,999 6,193 5,018 442 1,616 15,549 4,540 16,076 8,074 9,369

28.4 25.0 26.0 29.0 23.0 30.7 28.0 20.9 23.6 29.0 28.7 27.4 25.4 22.3

39.1 33.5 31.6 40.7 39.0 37.5 30.7 35.8 46.9 34.6

(%)

Advanced thinning stand

22.9 7,384 27.5 2,254 28.1 1,415 21.1 21,281 24.3 17,072 25.0 4,496 29.6 3,242 27.6 11,444 21.0 3,720 25.5 323,804

(%)

Young thinning stand

11.6 4,317 14.0 1,845 16.4 1,258 16.4 11,014 13.9 10,614 12.7 3,000 17.1 3,125 10.5 8,826 8.6 1,660 14.5 238,552

(%)

Advanced seedling stand

(%) (ha)

Young seedling stand

(%) (ha)

Open regeneration site

3,883 7,646 6,987 1,503 7,964 3,374 2,906 280 1,099 8,336 3,053 9,378 4,128 5,123

3,194 1,023 659 7,693 6,760 1,640 1,640 6,491 1,136 156,626

(ha)

20.0 17.5 17.7 15.7 22.9 16.8 16.2 13.2 16.1 15.5 19.3 16.0 13.0 12.2

16.9 15.2 14.7 14.7 15.4 13.7 15.5 20.3 14.3 16.7

(%)

Mature stand

188 206 294 17 173 34 148 8 26 96 32 175 166 47

76 91 4 489 143 22 101 322 175 9,331

(ha)

Shelterwood stand

1.0 0.5 0.7 0.2 0.5 0.2 0.8 0.4 0.4 0.2 0.2 0.3 0.5 0.1

282 669 605 124 314 216 334 40 85 638 149 706 426 638

0.4 127 1.4 95 0.1 39 0.9 174 0.3 284 0.2 11 1.0 104 1.0 403 2.2 0 1.0 8,828

(%) (ha)

1.5 1.5 1.5 1.3 0.9 1.1 1.9 1.9 1.2 1.2 0.9 1.2 1.3 1.5

19,440 43,769 39,462 9,564 34,776 20,147 17,930 2,121 6,847 53,707 15,824 58,765 31,786 42,033

0.7 18,879 1.4 6,719 0.9 4,475 0.3 52,235 0.7 43,777 0.1 11,998 1.0 10,554 1.3 32,009 0.0 7,925 0.9 936,899

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(%)

Forest land total

(%) (ha)

Seed tree stand

210 Appendix 1

55 1.0 288 1.5 240 0.6

Pirkkala Punkalaidun Pälkäne

1.4 0.9 1.4 1.3 1.0 0.7 0.9 0.8 1.2 0.9 1.0 0.6 0.9 1.1 1.2

0.4 1.0 0.9 0.9 0.7 1.5 1.0 1.0

604 619 635

175 461 224 237 447 383 303 7,787

1.0 1.4 1.0

78 271 799 252 356 195 121 501 136 174 178 26 195 651 741

Savitaipale Anjalankoski Suomenniemi Taipalsaari Valkeala Virolahti Ylämaa

739 754 775 831 909 935 978 Total

204 381 756

Pirkanmaa Municipality 20 Akaa 108 Hämeenkyrö 143 Ikaalinen 177 Juupajoki 211 Kangasala 250 Kihniö 289 Kuhmalahti 303 Kuru 310 Kylmäkoski 418 Lempäälä 493 Mouhijärvi 506 Mänttä 536 Nokia 562 Orivesi 581 Parkano

Pyhtää-Pyttis Rautjärvi Ruokolahti

624 689 700

331 842 1,753

423 1,496 3,187 1,276 2,158 952 720 2,591 682 1,042 898 220 1,128 3,914 3,485

1,979 2,949 1,633 1,352 3,325 2,249 1,895 49,003

1,390 1,826 4,704

2,685 4,143 10,026

6.1 4.5 4.2

7.7 4.7 5.7 6.3 6.1 3.5 5.6 4.4 5.9 5.5 5.1 4.8 5.4 6.3 5.5 895 1,769 5,189

946 4,574 7,268 2,645 5,482 3,053 1,561 6,210 1,584 2,657 2,767 656 3,322 8,862 7,988

4.7 5,482 6.1 6,607 6.7 3,380 4.9 3,375 5.2 9,050 8.5 4,062 6.2 3,899 6.2 110,008

6.8 6.5 6.0

16.4 9.4 12.4

17.2 14.4 13.1 13.1 15.6 11.3 12.0 10.5 13.6 14.1 15.6 14.2 16.0 14.3 12.6

13.1 13.8 13.9 12.2 14.3 15.4 12.8 14.0

13.2 14.8 12.7

1,766 5,621 12,600

1,787 11,234 19,471 6,117 11,326 11,651 4,122 21,843 3,505 6,153 6,295 1,509 6,865 19,600 24,325

14,548 16,460 7,348 8,807 22,748 9,716 12,432 268,571

6,451 9,118 28,866

5,728 28.2 7,803 27.9 20,400 25.9

32.3 29.7 30.0

32.5 35.4 35.0 30.4 32.2 43.2 31.8 36.8 30.1 32.6 35.4 32.7 33.1 31.5 38.5 1,528 6,228 14,915

1,508 9,238 15,866 6,264 10,197 8,007 4,190 18,330 3,802 5,533 4,787 1,428 5,792 18,159 18,067 28.0 32.9 35.6

27.4 29.1 28.5 31.1 29.0 29.7 32.3 30.9 32.7 29.3 26.9 30.9 27.9 29.2 28.6

34.8 9,757 23.3 34.3 12,785 26.6 30.3 5,463 22.5 31.9 8,005 29.0 35.8 15,156 23.9 36.8 5,966 22.6 40.8 7,542 24.8 34.2 202,985 25.8

31.7 32.6 36.6

743 3,704 6,763

650 4,280 7,953 3,179 4,954 2,802 2,066 8,931 1,724 2,882 2,395 709 2,754 9,727 7,447

9,532 7,734 6,064 5,489 11,828 3,447 3,829 134,493

3,334 4,411 13,166

13.6 19.6 16.1

11.8 13.5 14.3 15.8 14.1 10.4 15.9 15.1 14.8 15.3 13.5 15.4 13.3 15.6 11.8

22.8 16.1 25.0 19.9 18.6 13.1 12.6 17.1

16.4 15.8 16.7

62 108 247

23 265 331 124 218 86 65 357 61 182 164 39 298 404 387

49 291 10 65 178 89 167 2,751

144 36 113

1.1 0.6 0.6

0.4 0.8 0.6 0.6 0.6 0.3 0.5 0.6 0.5 1.0 0.9 0.9 1.4 0.7 0.6

0.1 0.6 0.0 0.2 0.3 0.3 0.6 0.4

0.7 0.1 0.1

1.5 1.3 1.4 1.3 1.4 0.8 1.0 0.9 1.2 1.5 1.7 0.7 1.8 1.4 1.2

0.7 1.6 0.6 1.1 1.2 1.9 1.2 1.3

1.9 1.0 1.0

86 1.6 353 1.9 252 0.6

83 418 774 263 474 205 126 545 143 279 301 31 373 862 737

296 773 133 291 786 498 375 9,813

394 286 756

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0

(continued)

5,466 100.0 18,914 100.0 41,958 100.0

5,498 31,776 55,650 20,120 35,165 26,950 12,971 59,309 11,637 18,902 17,786 4,617 20,725 62,179 63,177

41,818 48,060 24,254 27,621 63,518 26,409 30,442 785,412

20,329 28,004 78,786

Appendix 1 211

Ruovesi Tampere Urjala Valkeakoski Vammala Vesilahti Vilppula Virrat Ylöjärvi Äetsä

Etelä-Savo Municipality 46 Enonkoski 90 Heinävesi 97 Hirvensalmi 171 Joroinen 178 Juva 213 Kangasniemi 246 Kerimäki 491 Mikkeli 507 Mäntyharju 588 Pertunmaa 593 Pieksämäki 618 Punkaharju 623 Puumala

702 837 887 908 912 922 933 936 980 988 Total

Table 5a (continued)

515 1,045 451 722 1,573 1,665 870 2,208 1,242 392 2,196 825 670

608 337 318 166 665 275 410 976 329 275 9,617

(ha)

1.8 1.1 1.1 1.6 1.6 1.8 1.8 1.6 1.5 1.2 1.6 1.9 0.9

1.0 0.9 1.0 1.0 1.2 1.3 1.1 1.1 1.1 1.7 1.1

5,078 13,798 8,042 8,023 15,134 14,421 8,609 24,198 15,123 6,092 22,342 6,425 8,759

5.1 6,791 4.9 4,934 5.5 4,270 5.7 2,743 5.5 8,106 6.4 2,692 5.8 4,756 6.0 12,096 5.2 4,110 6.8 2,370 5.4 120,296

2,332 8.2 9,989 10.5 2,508 6.3 4,387 9.5 8,295 8.4 7,950 8.7 3,775 7.6 11,089 7.8 6,827 8.1 2,793 8.7 12,714 9.5 3,322 7.7 4,629 6.5

3,141 1,809 1,711 998 3,081 1,365 2,217 5,438 1,522 1,103 49,482

17.8 14.6 20.0 17.5 15.3 15.8 17.4 17.1 17.9 19.1 16.7 14.9 12.3

11.0 13.3 13.7 15.7 14.4 12.6 12.5 13.3 14.1 14.7 13.2

(%)

Advanced seedling stand

(%) (ha)

Young seedling stand

(%) (ha)

Open regeneration site

8,366 35,063 11,236 13,672 29,283 27,107 15,708 39,710 28,890 8,884 44,003 12,154 22,970

19,544 12,287 9,114 5,560 19,445 5,890 11,664 34,389 9,774 5,648 309,106

(ha)

29.3 37.0 28.0 29.7 29.7 29.7 31.7 28.0 34.1 27.8 32.9 28.2 32.3

7,573 23,452 10,280 12,454 28,878 24,710 13,831 39,861 18,599 8,428 33,948 13,511 20,532

31.5 19,896 33.0 11,057 29.3 10,468 31.8 5,343 34.6 15,602 27.5 6,564 30.7 11,709 37.7 25,074 33.6 8,322 35.0 4,209 33.9 272,083

26.5 24.7 25.6 27.1 29.2 27.1 27.9 28.1 22.0 26.4 25.4 31.4 28.9

32.1 29.7 33.7 30.6 27.7 30.6 30.8 27.5 28.6 26.1 29.8

(%)

Advanced thinning stand

(%) (ha)

Young thinning stand

4,419 10,904 7,054 6,329 14,575 14,309 6,252 22,764 12,810 5,012 17,405 6,381 11,935

10,839 5,951 4,743 2,404 8,053 4,100 6,541 11,721 4,373 2,112 134,497

(ha)

15.5 11.5 17.6 13.8 14.8 15.7 12.6 16.1 15.1 15.7 13.0 14.8 16.8

17.5 16.0 15.3 13.8 14.3 19.1 17.2 12.8 15.0 13.1 14.7

(%)

Mature stand

22 35 209 22 166 238 25 493 114 76 197 65 223

464 317 158 72 410 167 316 492 242 106 6,164

(ha)

Shelterwood stand

0.1 0.0 0.5 0.1 0.2 0.3 0.1 0.4 0.1 0.2 0.2 0.2 0.3

250 565 340 363 847 937 424 1,447 1,028 276 1,074 382 1,319

0.8 720 0.9 495 0.5 319 0.4 181 0.7 906 0.8 382 0.8 424 0.5 1,062 0.8 419 0.7 326 0.7 11,541

(%) (ha)

0.9 0.6 0.9 0.8 0.9 1.0 0.9 1.0 1.2 0.9 0.8 0.9 1.9

1.2 1.3 1.0 1.0 1.6 1.8 1.1 1.2 1.4 2.0 1.3

(%)

Seed tree stand

28,556 94,851 40,121 45,972 98,751 91,338 49,494 141,769 84,632 31,954 133,880 43,065 71,036

62,002 37,188 31,101 17,468 56,268 21,435 38,037 91,247 29,092 16,149 912,787

(ha)

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(%)

Forest land total

212 Appendix 1

Rantasalmi Ristiina Savonlinna Savonranta Sulkava

Etelä-Pohjanmaa Municipality 4 Alahärmä 5 Alajärvi 10 Alavus 52 Evijärvi 74 Halsua 95 Himanka 145 Ilmajoki 151 Isojoki 152 Isokyrö 164 Jalasjärvi 175 Jurva 217 Kannus 218 Karijoki 232 Kauhajoki 233 Kauhava 236 Kaustinen 281 Kortesjärvi 300 Kuortane 301 Kurikka 315 Kälviä 399 Laihia 403 Lappajärvi 408 Lapua 414 Lehtimäki

681 696 740 741 768 Total

395 566 627 346 116 98 815 323 401 656 372 202 155 1,013 429 174 349 412 699 290 543 345 535 190

844 645 887 616 824 18,189

2.1 1.1 1.2 1.4 0.4 0.6 2.3 0.7 2.1 1.3 1.2 0.7 1.3 1.2 1.5 0.8 1.6 1.3 2.6 0.6 1.7 1.2 1.3 1.1

1,404 3,155 2,933 1,986 1,347 752 1,901 1,711 1,308 3,030 1,397 1,547 532 5,017 1,901 1,262 1,427 2,048 2,289 2,215 1,572 1,481 2,624 1,101

1.8 4,207 1.3 3,629 1.3 4,783 1.8 2,947 1.6 4,198 1.5 100,374

7.4 6.2 5.5 8.0 4.9 4.5 5.5 3.7 6.9 6.0 4.5 5.5 4.4 6.1 6.7 5.4 6.4 6.5 8.4 4.9 4.8 5.2 6.1 6.1

3,852 7,048 7,760 4,647 6,023 2,673 4,157 6,559 3,821 6,334 4,482 5,034 1,674 10,632 4,890 4,383 4,472 4,463 3,190 8,185 5,337 4,186 6,048 2,099

9.1 8,710 7.5 7,636 6.8 11,450 8.5 4,897 8.3 8,259 8.3 196,997

20.4 13.9 14.6 18.8 21.8 16.1 11.9 14.0 20.1 12.5 14.4 17.8 13.8 12.9 17.2 18.9 20.1 14.1 11.7 18.2 16.4 14.6 14.2 11.6

18.9 15.7 16.2 14.1 16.3 16.3

7,443 20,970 20,301 9,092 13,712 7,143 9,183 15,898 5,838 19,640 8,385 12,242 3,687 37,109 10,176 9,968 8,228 10,715 7,795 18,821 9,892 11,915 15,768 6,816

13,966 14,116 23,250 12,599 16,063 377,039

39.5 41.2 38.2 36.7 49.7 42.9 26.4 34.0 30.6 38.9 26.9 43.3 30.5 44.9 35.7 43.0 37.1 33.9 28.6 41.8 30.4 41.4 36.9 37.7

3,476 13,477 14,262 5,522 4,564 3,843 9,871 13,027 3,942 12,822 9,536 6,512 3,411 18,259 7,405 5,388 5,105 8,428 7,209 10,337 7,878 7,507 10,618 5,343

30.2 12,884 29.1 13,494 32.9 20,577 36.3 8,211 31.6 14,109 31.3 325,331

18.4 26.5 26.8 22.3 16.5 23.1 28.3 27.9 20.7 25.4 30.5 23.0 28.2 22.1 26.0 23.2 23.0 26.7 26.4 22.9 24.2 26.1 24.8 29.6

27.9 27.8 29.1 23.7 27.8 27.0

2,130 5,203 6,793 3,040 1,596 2,025 8,561 8,807 3,484 7,532 6,669 2,566 2,456 9,655 3,457 1,751 2,487 5,205 5,618 4,737 6,958 3,111 6,815 2,267

5,219 8,316 9,028 5,014 6,829 174,556

11.3 10.2 12.8 12.3 5.8 12.2 24.6 18.8 18.3 14.9 21.4 9.1 20.3 11.7 12.1 7.6 11.2 16.5 20.6 10.5 21.4 10.8 15.9 12.6

11.3 17.1 12.8 14.5 13.5 14.5

4 116 101 11 1 5 81 161 85 107 79 13 66 173 32 9 7 33 116 9 74 40 60 52

72 166 121 38 123 2,406

0.0 0.2 0.2 0.1 0.0 0.0 0.2 0.3 0.4 0.2 0.3 0.1 0.6 0.2 0.1 0.0 0.0 0.1 0.4 0.0 0.2 0.1 0.1 0.3

165 312 391 131 256 105 289 287 182 408 303 177 118 787 210 265 131 282 363 491 341 185 288 202

0.2 276 0.3 543 0.2 545 0.1 388 0.2 374 0.2 11,380

0.9 0.6 0.7 0.5 0.9 0.6 0.8 0.6 1.0 0.8 1.0 0.6 1.0 1.0 0.7 1.1 0.6 0.9 1.3 1.1 1.1 0.6 0.7 1.1

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0

(continued)

18,868 50,848 53,169 24,776 27,614 16,645 34,858 46,773 19,061 50,529 31,221 28,294 12,098 82,645 28,501 23,201 22,206 31,586 27,280 45,085 32,596 28,770 42,756 18,070

0.6 46,178 1.1 48,545 0.8 70,641 1.1 34,710 0.7 50,778 0.9 1,206,273

Appendix 1 213

Lestijärvi Lohtaja Nurmo Perho Seinäjoki Soini Teuva Toholampi Töysä Ullava Veteli Vimpeli Vähäkyrö Ylihärmä Ylistaro Ähtäri

Keski-Suomi Municipality 77 Hankasalmi 172 Joutsa 179 Jyväskylä 180 Jyväskylän mlk 182 Jämsä 183 Jämsänkoski 216 Kannonkoski

421 429 544 584 743 759 846 849 863 885 924 934 942 971 975 989 Total

Table 5a (continued)

913 511 82 660 1,396 492 662

299 374 425 103 561 402 486 263 294 70 312 235 159 125 697 748 15,604

(ha)

2.0 1.3 1.2 1.9 1.5 1.4 1.7

0.9 1.3 1.8 0.2 1.6 1.0 1.4 0.7 1.4 0.7 1.0 1.3 1.8 1.8 2.5 1.2 1.2

3,161 1,742 426 2,226 5,618 2,230 2,527

1,745 2,102 1,708 3,364 2,180 2,072 1,706 1,737 1,189 455 1,689 966 555 517 1,783 4,116 73,824

6.9 4.3 6.0 6.3 5.9 6.6 6.5

6,848 7,477 1,347 5,795 14,644 6,344 6,029

5.3 5,969 7.3 5,131 7.4 3,543 6.4 14,646 6.3 5,250 5.1 6,015 4.8 5,058 4.8 5,638 5.6 3,065 4.2 1,683 5.2 5,674 5.1 3,158 6.2 2,020 7.6 1,174 6.4 4,615 6.4 9,343 5.8 203,927

14.8 18.4 19.1 16.3 15.3 18.6 15.4

18.0 17.8 15.3 27.6 15.1 14.8 14.1 15.6 14.4 15.7 17.3 16.7 22.7 17.2 16.6 14.6 16.0

(%)

Advanced seedling stand

(%) (ha)

Young seedling stand

(%) (ha)

Open regeneration site

13,713 14,168 2,302 11,331 29,574 11,221 16,507

14,931 11,740 7,984 25,826 13,937 16,817 10,444 15,061 7,242 4,663 14,466 8,036 2,346 2,672 8,259 24,909 490,074

(ha)

(ha)

29.7 34.8 32.6 31.9 30.9 33.0 42.3

13,162 10,542 1,734 9,297 26,996 8,059 7,842

28.5 25.9 24.6 26.2 28.2 23.7 20.1

20.7 22.1 24.9 13.4 24.3 25.4 29.4 27.7 26.3 25.9 23.8 23.8 18.7 16.6 22.7 24.4 24.2

(%)

Advanced thinning stand

45.0 6,878 40.6 6,388 34.4 5,766 48.7 7,076 40.2 8,444 41.5 10,317 29.1 10,541 41.7 10,019 34.0 5,596 43.4 2,784 44.1 7,789 42.6 4,489 26.4 1,660 39.2 1,133 29.7 6,298 38.9 15,617 38.5 308,536

(%)

Young thinning stand

7,552 5,544 1,064 5,543 15,443 4,816 4,952

3,062 2,835 3,537 1,928 4,061 4,593 7,087 3,136 3,673 983 2,751 1,879 1,950 1,124 5,796 8,588 169,908

(ha)

16.4 13.6 15.1 15.6 16.1 14.1 12.7

9.2 9.8 15.3 3.6 11.7 11.3 19.8 8.7 17.2 9.2 8.4 10.0 21.9 16.5 20.8 13.4 13.3

(%)

Mature stand

78 135 24 103 698 225 44

16 10 27 3 44 112 211 11 26 1 3 10 70 6 106 155 2,246

(ha)

Shelterwood stand

0.2 0.3 0.3 0.3 0.7 0.7 0.1

707 565 82 554 1,464 651 493

0.1 304 0.0 325 0.1 196 0.0 51 0.1 216 0.3 242 0.6 346 0.0 266 0.1 228 0.0 101 0.0 106 0.1 98 0.8 137 0.1 71 0.4 251 0.2 520 0.2 10,128

(%) (ha)

1.5 1.4 1.2 1.6 1.5 1.9 1.3

46,133 40,684 7,060 35,511 95,834 34,037 39,056

0.9 33,203 1.1 28,904 0.9 23,187 0.1 52,997 0.6 34,695 0.6 40,570 1.0 35,878 0.7 36,130 1.1 21,314 0.9 10,740 0.3 32,791 0.5 18,871 1.5 8,897 1.0 6,822 0.9 27,805 0.8 63,995 0.8 1,274,246

100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(%)

Forest land total

(%) (ha)

Seed tree stand

214 Appendix 1

Karstula Keuruu Kinnula Kivijärvi Konnevesi Korpilahti Kuhmoinen Kyyjärvi Laukaa Leivonmäki Luhanka Multia Muurame Petäjävesi Pihtipudas Pylkönmäki Saarijärvi Toivakka Uurainen Viitasaari Äänekoski

Pohjois-Savo Municipality 140 Iisalmi 174 Juankoski 204 Kaavi 227 Karttula 239 Keitele 263 Kiuruvesi 297 Kuopio

226 249 256 265 275 277 291 312 410 415 435 495 500 592 601 633 729 850 892 931 992 Total

1,351 715 836 600 696 1,242 1,397

862 1,347 637 723 982 868 719 393 1,178 660 277 1,259 192 777 1,061 612 1,337 624 688 1,812 1,426 23,150

2.4 2.0 1.4 1.5 1.7 1.2 1.5

3,980 2,856 3,117 2,704 2,675 5,066 6,191

1.2 4,033 1.3 8,013 1.7 3,046 1.8 3,118 2.3 3,516 1.7 3,156 1.3 3,202 1.2 1,801 2.4 3,613 2.1 1,562 1.5 850 2.0 4,210 1.7 787 2.0 2,837 1.2 5,119 2.0 2,375 1.8 5,395 2.1 1,828 2.3 2,066 1.7 8,747 2.0 4,702 1.7 91,906

7.1 7.8 5.3 6.7 6.7 5.1 6.8

10,403 6,143 8,533 6,915 6,231 19,070 15,024

5.7 12,557 7.5 18,360 8.0 7,353 7.6 6,792 8.1 6,750 6.1 9,394 5.6 9,648 5.6 6,581 7.3 7,445 4.9 4,694 4.7 3,430 6.6 11,119 6.8 2,225 7.3 6,944 5.8 14,733 7.9 5,044 7.3 11,716 6.0 4,942 7.0 4,611 8.2 17,749 6.4 10,815 6.6 231,383

18.5 16.8 14.6 17.2 15.5 19.1 16.4

21,243 12,447 21,097 12,949 15,513 45,961 27,182

17.7 33,784 17.1 40,723 19.4 17,616 16.5 18,122 15.5 13,455 18.1 16,298 17.0 16,457 20.6 14,990 15.1 15,523 14.8 11,018 19.1 6,219 17.5 26,794 19.2 3,623 17.7 13,367 16.7 40,938 16.8 12,901 15.9 27,556 16.3 9,905 15.6 10,305 16.6 39,360 14.8 26,446 16.7 514,216

37.7 34.1 36.1 32.2 38.7 45.9 29.7

11,607 8,551 14,883 10,534 9,304 19,922 24,766

47.7 11,957 37.9 23,442 46.6 5,727 43.9 7,290 30.8 11,597 31.4 12,895 28.9 15,337 46.8 5,106 31.5 12,969 34.8 8,510 34.6 4,292 42.1 12,561 31.2 2,779 34.2 9,062 46.3 16,342 43.1 5,523 37.4 16,386 32.6 7,812 34.9 7,167 36.9 22,960 36.2 17,987 37.1 315,330

20.6 23.4 25.5 26.2 23.2 19.9 27.1

16.9 21.8 15.1 17.7 26.6 24.9 27.0 15.9 26.3 26.9 23.9 19.8 23.9 23.2 18.5 18.4 22.3 25.7 24.3 21.5 24.6 22.8

7,219 5,290 8,738 5,827 5,173 8,057 15,467

7,199 13,338 3,102 4,837 6,671 7,983 9,630 2,948 7,616 4,478 2,505 7,043 1,782 5,427 9,380 3,220 10,395 4,522 4,180 14,697 10,587 186,455

12.8 14.5 15.0 14.5 12.9 8.1 16.9

10.2 12.4 8.2 11.7 15.3 15.4 16.9 9.2 15.4 14.2 13.9 11.1 15.3 13.9 10.6 10.8 14.1 14.9 14.1 13.8 14.5 13.5

44 59 128 43 25 1 52

36 528 9 32 68 266 613 22 101 124 87 93 59 143 33 37 96 103 69 126 105 4,057

0.1 0.2 0.2 0.1 0.1 0.0 0.1

466 492 1,066 601 512 728 1,415

0.1 375 0.5 1,697 0.0 352 0.1 352 0.2 618 0.5 1,017 1.1 1,296 0.1 175 0.2 865 0.4 582 0.5 331 0.1 489 0.5 166 0.4 565 0.0 782 0.1 224 0.1 748 0.3 629 0.2 456 0.1 1,352 0.1 949 0.3 18,534

0.8 1.3 1.8 1.5 1.3 0.7 1.5

100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

56,313 36,552 58,399 40,174 40,129 100,047 91,494

0.5 70,804 1.6 107,448 0.9 37,842 0.9 41,265 1.4 43,657 2.0 51,878 2.3 56,902 0.5 32,016 1.8 49,309 1.8 31,627 1.8 17,989 0.8 63,567 1.4 11,614 1.4 39,121 0.9 88,388 0.7 29,935 1.0 73,629 2.1 30,365 1.5 29,541 1.3 106,801 1.3 73,017 1.3 1,385,031

Appendix 1 215

Lapinlahti Leppävirta Maaninka Nilsiä Pielavesi Rautalampi Rautavaara Siilinjärvi Sonkajärvi Suonenjoki Tervo Tuusniemi Varkaus Varpaisjärvi Vesanto Vieremä

Pohjois-Karjala Municipality 45 Eno 146 Ilomantsi 167 Joensuu 176 Juuka 248 Kesälahti 260 Kitee 276 Kontiolahti

402 420 476 534 595 686 687 749 762 778 844 857 915 916 921 925 Total

Table 5a (continued)

1.8 2,957 1.3 4,744 1.6 2,300 2.0 3,642 1.7 5,857 2.1 3,367 2.2 4,369 2.1 2,659 2.4 6,932 2.2 3,764 1.7 2,375 1.6 3,541 2.6 2,548 2.2 2,393 1.8 2,876 1.8 3,963 1.8 84,877

(%) (ha)

8.6 7.4 8.5 6.5 8.8 8.5 9.1

14,864 31,132 15,926 17,512 4,848 11,820 10,050

6.3 7,548 4.9 14,250 6.6 5,356 6.5 9,361 6.2 15,583 7.5 7,978 4.6 13,921 9.5 5,189 5.7 20,436 6.2 8,846 8.2 5,054 7.7 9,090 8.0 5,010 6.2 6,530 8.2 5,805 5.4 13,907 6.3 226,183

(ha)

18.1 29,064 14.0 105,001 15.8 34,121 13.5 53,544 14.8 12,331 16.8 25,492 15.1 23,409

35.5 47.3 33.9 41.3 37.5 36.3 35.1

21,224 46,623 26,037 33,729 8,391 16,119 17,211

38.3 10,795 28.7 28,713 32.9 9,334 36.5 12,864 38.9 22,178 31.7 11,178 49.8 18,128 29.9 6,641 46.9 22,431 29.2 17,638 33.3 7,121 29.3 10,688 30.2 9,060 38.2 8,616 34.0 8,314 45.7 13,927 37.5 317,194

25.9 21.0 25.9 26.0 25.5 22.9 25.8

23.1 29.9 26.8 22.9 23.4 24.9 19.0 23.7 18.5 29.2 24.5 23.4 28.5 22.3 23.8 18.9 23.4

(%)

Advanced thinning stand

(%) (ha)

Young thinning stand

16.1 17,911 14.9 27,500 15.4 11,454 16.7 20,487 16.5 36,783 17.7 14,262 14.6 47,444 18.5 8,380 16.8 56,891 14.6 17,654 17.4 9,671 19.9 13,401 15.8 9,602 16.9 14,752 16.6 11,861 18.8 33,740 16.7 508,185

(%)

Advanced seedling stand

(%) (ha)

Young seedling stand

1,482 1.8 7,016 641 0.3 16,421 1,290 1.3 8,555 1,288 1.0 8,478 444 1.4 2,905 1,282 1.8 5,958 702 1.1 6,079

850 1,201 547 1,105 1,577 949 2,092 588 2,872 1,324 488 736 826 852 629 1,312 24,783

(ha)

Open regeneration site

8,026 20,913 13,775 14,597 3,688 9,113 8,800

6,349 17,702 5,395 8,047 11,806 6,354 8,307 4,188 10,145 9,846 3,983 7,340 4,378 5,099 4,947 6,071 175,726

(ha)

9.8 9.4 13.7 11.3 11.2 13.0 13.2

13.6 18.5 15.5 14.3 12.5 14.1 8.7 15.0 8.4 16.3 13.7 16.1 13.8 13.2 14.2 8.2 13.0

(%)

Mature stand

3 666 61 9 136 167 84

49 30 45 80 62 73 188 29 114 68 41 36 71 41 37 22 1,337

(ha)

Shelterwood stand

0.0 0.3 0.1 0.0 0.4 0.2 0.1

295 688 760 494 114 331 356

0.1 366 0.0 1,732 0.1 347 0.1 554 0.1 763 0.2 806 0.2 833 0.1 306 0.1 1,567 0.1 1,295 0.1 305 0.1 883 0.2 273 0.1 310 0.1 429 0.0 849 0.1 16,899

(%) (ha)

0.4 0.3 0.8 0.4 0.4 0.5 0.5

81,974 222,086 100,525 129,651 32,857 70,282 66,689

0.8 46,826 1.8 95,872 1.0 34,778 1.0 56,139 0.8 94,608 1.8 44,966 0.9 95,281 1.1 27,982 1.3 121,388 2.1 60,436 1.0 29,038 1.9 45,716 0.9 31,767 0.8 38,593 1.2 34,898 1.2 73,791 1.2 1,355,185

100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(%)

Forest land total

(%) (ha)

Seed tree stand

216 Appendix 1

342 880 1,431 379 532 1,138 1,262 81 219

Pohjois-Pohjanmaa 9 Alavieska 69 Haapajärvi 71 Haapavesi 72 Hailuoto 84 Haukipudas 139 Ii 208 Kalajoki 244 Kempele 247 Kestilä

183 2,417 701 1,649 653 115 636 948 560 14,992

879 1,220 1,794 968 1,785 581 2,110 2,195 506 12,040

Outokumpu Lieksa Liperi Nurmes Polvijärvi Pyhäselkä Rääkkylä Tohmajärvi Valtimo

Kainuu Municipality 105 Hyrynsalmi 205 Kajaani 290 Kuhmo 578 Paltamo 620 Puolanka 697 Ristijärvi 765 Sotkamo 777 Suomussalmi 785 Vaala Total

309 422 426 541 607 632 707 848 911 Total

2.1 1.5 1.9 2.7 1.7 1.1 2.7 1.2 0.5

1,133 2,355 3,202 1,252 2,315 6,241 3,040 405 2,254

0.7 7,355 0.8 8,788 0.4 24,581 1.2 5,977 0.9 15,031 0.8 5,241 0.9 13,981 0.5 25,229 0.6 6,373 0.7 112,557

7.1 4.1 4.3 9.0 7.6 5.8 6.5 5.8 5.4

2,215 7,551 7,938 2,686 4,702 15,330 6,745 1,254 4,872

6.2 21,779 5.9 23,260 6.1 73,628 7.5 12,477 7.5 36,881 7.2 12,661 6.1 40,300 6.0 99,806 7.0 11,535 6.4 332,327

0.5 2,054 5.8 5,018 0.8 20,071 6.9 44,973 1.3 4,875 8.7 10,065 1.2 9,885 7.2 23,258 1.0 4,399 6.9 9,362 0.5 1,308 6.2 4,374 1.9 2,514 7.3 6,192 1.4 5,104 7.5 11,048 0.8 7,069 10.4 11,580 1.0 112,690 7.6 232,021

13.8 13.1 10.6 19.3 15.4 14.2 14.4 17.8 11.7

18.3 15.7 18.1 15.6 18.3 17.4 17.6 23.6 12.7 18.8

14.1 15.3 17.9 16.8 14.7 20.6 18.1 16.3 17.0 15.7

6,269 26,701 34,120 4,601 12,391 51,164 19,469 3,135 21,821

57,151 74,809 195,189 36,415 89,992 34,219 111,091 171,688 44,608 815,161

11,849 131,646 18,273 57,785 26,259 7,205 10,351 24,767 29,367 600,464

39.2 46.2 45.6 33.0 40.6 47.5 41.5 44.5 52.4

4,712 15,708 22,554 3,510 7,317 24,193 12,809 1,704 9,574

48.0 14,366 50.6 26,692 48.0 50,777 45.6 15,361 44.8 27,283 47.0 9,330 48.5 35,410 40.6 47,787 48.9 21,371 46.0 248,377

33.3 11,298 44.9 56,524 32.5 16,190 41.9 28,028 41.3 17,071 34.0 6,424 30.2 10,986 36.4 17,478 43.2 12,979 40.5 346,312

29.4 27.2 30.1 25.2 24.0 22.4 27.3 24.2 23.0

12.1 18.1 12.5 19.2 13.6 12.8 15.5 11.3 23.4 14.0

31.7 19.3 28.8 20.3 26.8 30.3 32.1 25.7 19.1 23.4

1,263 4,338 5,417 1,295 2,820 8,777 3,108 401 2,660

16,914 12,626 59,058 8,223 28,853 10,425 25,069 73,748 5,906 240,822

5,170 35,051 5,563 16,616 5,534 1,715 3,394 7,986 6,061 166,002

7.9 7.5 7.2 9.3 9.3 8.1 6.6 5.7 6.4

14.2 8.5 14.5 10.3 14.4 14.3 11.0 17.4 6.5 13.6

14.5 12.0 9.9 12.0 8.7 8.1 9.9 11.8 8.9 11.2

0 6 43 5 52 161 41 16 39

277 51 864 97 433 88 199 1,419 0 3,429

0 983 102 12 3 3 3 20 19 2,271

0.0 0.0 0.1 0.0 0.2 0.2 0.1 0.2 0.1

0.2 0.0 0.2 0.1 0.2 0.1 0.1 0.3 0.0 0.2

0.0 0.3 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.2

74 229 133 222 361 806 452 53 210

383 464 738 355 841 191 768 1,304 896 5,939

43 1,436 412 845 377 57 167 623 428 7,427

0.5 0.4 0.2 1.6 1.2 0.8 1.0 0.8 0.5

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(continued)

16,007 57,768 74,839 13,950 30,489 107,809 46,925 7,050 41,649

0.3 119,104 0.3 147,909 0.2 406,629 0.4 79,873 0.4 201,099 0.3 72,737 0.3 228,929 0.3 423,176 1.0 91,195 0.3 1,770,651

0.1 35,615 0.5 293,102 0.7 56,182 0.6 138,077 0.6 63,658 0.3 21,200 0.5 34,242 0.9 67,974 0.6 68,064 0.5 1,482,179

Appendix 1 217

255 305 317 425 436 483 494 535 563 564 567 603 615 617 625 626 630 678 682 691 746 748 832 859 889 926

Kiiminki Kuusamo Kärsämäki Liminka Lumijoki Merijärvi Muhos Nivala Oulainen Oulu Oulunsalo Piippola Pudasjärvi Pulkkila Pyhäjoki Pyhäsalmi Pyhäntä Raahe Rantsila Reisjärvi Sievi Siikajoki Taivalkoski Tyrnävä Utajärvi Vihanti

Table 5a (continued)

251 4,370 530 214 176 328 741 787 1,391 229 148 338 3,428 308 984 1,331 192 649 582 465 880 1,093 2,848 231 887 595

(ha)

1.1 1.2 1.0 0.6 1.4 1.9 1.6 2.6 3.1 1.2 1.4 1.0 0.9 1.1 2.4 1.3 0.3 1.7 1.2 1.4 1.7 1.6 1.6 0.9 0.8 1.8

1,311 29,185 2,004 1,739 730 839 3,470 1,999 3,066 951 634 1,678 24,676 1,196 2,684 4,695 3,091 2,080 2,327 2,162 3,837 3,677 15,452 1,367 5,823 1,881

5.6 8.2 3.9 4.8 5.6 4.7 7.2 6.6 6.9 4.8 6.0 4.8 6.7 4.1 6.4 4.5 5.2 5.4 4.7 6.3 7.2 5.4 8.5 5.2 5.4 5.7

(%)

Young seedling stand

(%) (ha)

Open regeneration site

2,889 59,097 6,310 5,960 2,272 2,018 6,680 3,993 4,923 2,392 1,458 3,522 48,630 2,665 6,310 13,404 5,825 5,330 5,695 5,312 7,595 9,409 23,937 4,077 11,356 3,801

(ha) 12.4 16.6 12.2 16.6 17.5 11.4 13.9 13.2 11.0 12.1 13.7 10.0 13.2 9.2 15.1 12.9 9.8 13.9 11.4 15.5 14.3 13.8 13.1 15.6 10.6 11.4

(%)

Advanced seedling stand

10,847 132,200 25,572 19,672 6,317 6,959 23,430 10,405 16,582 8,581 4,803 18,674 200,969 14,905 16,507 51,165 31,818 15,337 26,815 18,606 25,286 32,456 82,898 13,776 58,661 14,915

(ha) 46.6 37.2 49.6 54.7 48.8 39.3 48.9 34.3 37.1 43.4 45.1 53.3 54.5 51.5 39.6 49.1 53.3 39.9 53.6 54.3 47.6 47.6 45.5 52.7 54.9 44.9

(%)

Young thinning stand

5,861 52,538 12,985 7,309 2,914 5,982 10,232 9,904 13,594 5,595 2,784 8,663 49,283 8,066 12,219 27,580 13,830 11,387 12,194 5,542 11,567 18,257 22,456 5,604 22,986 9,541

(ha) 25.2 14.8 25.2 20.3 22.5 33.8 21.4 32.6 30.4 28.3 26.1 24.7 13.4 27.9 29.3 26.5 23.2 29.6 24.4 16.2 21.8 26.8 12.3 21.5 21.5 28.7

(%)

Advanced thinning stand

1,915 75,430 4,013 1,020 511 1,518 2,951 3,098 5,009 1,860 711 2,079 40,165 1,713 2,803 5,545 4,687 3,574 2,297 1,938 3,451 3,158 33,350 900 6,108 2,437

(ha) 8.2 21.2 7.8 2.8 3.9 8.6 6.2 10.2 11.2 9.4 6.7 5.9 10.9 5.9 6.7 5.3 7.9 9.3 4.6 5.7 6.5 4.6 18.3 3.4 5.7 7.3

(%)

Mature stand

52 1,170 25 16 6 3 78 10 8 38 21 2 226 8 0 4 0 0 47 – – 9 381 45 183 1

(ha)

Shelterwood stand

0.2 0.3 0.1 0.0 0.1 0.0 0.2 0.0 0.0 0.2 0.2 0.0 0.1 0.0 0.0 0.0 0.0 0.0 0.1 – – 0.0 0.2 0.2 0.2 0.0

(%) 172 1,257 120 66 22 50 339 153 176 145 95 115 1,547 55 222 504 209 94 103 237 541 150 909 130 953 60

(ha) 0.7 0.4 0.2 0.2 0.2 0.3 0.7 0.5 0.4 0.7 0.9 0.3 0.4 0.2 0.5 0.5 0.4 0.3 0.2 0.7 1.0 0.2 0.5 0.5 0.9 0.2

(%)

Seed tree stand

23,298 355,247 51,559 35,995 12,948 17,698 47,923 30,348 44,748 19,791 10,653 35,071 368,924 28,916 41,729 104,227 59,652 38,450 50,060 34,263 53,158 68,211 182,232 26,129 106,956 33,232

(ha)

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

(%)

Forest land total

218 Appendix 1

436 925 1,080 32,680

603 328 132 391 5,346 1,336 1,781 486 939 2,543 2,019 4,643 2,064 2,761 629 6,096 621 753 1,157 – 1,095 35,723

972 Yli-Ii 973 Ylikiiminki 977 Ylivieska Total

Lapland Municipality 47 Enontekiö 148 Inari 240 Kemi 241 Keminmaa 261 Kittilä 273 Kolari 320 Kemijärvi 498 Muonio 583 Pelkosenniemi 614 Posio 683 Ranua 698 Rovaniemi 732 Salla 742 Savukoski 751 Simo 758 Sodankylä 845 Tervola 851 Tornio 854 Pello 890 Utsjoki 976 Ylitornio Total

0.6 3,793 0.1 23,117 2.1 487 0.9 2,931 1.1 23,563 0.8 10,102 0.7 12,310 0.4 9,810 0.8 5,672 1.2 14,140 1.0 13,255 0.8 33,585 0.5 20,099 0.6 28,544 0.7 4,443 0.9 32,870 0.6 6,066 0.9 6,101 0.9 8,124 – 87 0.8 8,266 0.7 267,365

0.9 3,009 1.4 3,505 2.7 3,005 1.3 154,271

4.0 6,917 3.3 94,957 7.6 1,568 6.5 10,508 5.1 65,540 5.8 26,314 4.9 36,463 8.1 11,800 4.7 20,340 6.8 26,621 6.6 37,983 6.0 92,899 5.3 56,149 6.5 51,742 5.0 16,922 4.9 83,074 5.5 20,817 7.4 17,166 6.0 26,476 1.4 117 5.9 27,057 5.3 731,431

5.9 6,398 5.2 6,843 7.4 5,319 6.3 326,711

7.3 31,097 13.3 185,273 24.5 2,653 23.3 19,810 14.0 164,264 15.2 74,160 14.5 123,043 9.7 37,111 16.8 60,035 12.8 91,667 18.9 101,717 16.6 276,351 14.7 150,583 11.8 163,890 18.8 40,051 12.4 218,242 19.0 54,622 20.8 38,688 19.7 58,478 1.9 5,037 19.2 63,926 14.6 1,960,699

12.5 28,217 10.2 34,358 13.1 15,709 13.4 1,146,112

33.0 17,557 26.0 95,934 41.4 1,271 43.9 8,203 35.2 107,580 42.7 34,234 48.8 43,766 30.6 28,780 49.6 17,270 44.2 34,579 50.6 24,187 49.4 80,285 39.4 58,265 37.3 68,602 44.6 16,811 32.7 131,699 49.9 15,966 46.8 13,179 43.4 22,731 80.0 269 45.2 22,024 39.1 843,191

55.3 9,419 51.3 16,531 38.8 11,494 47.0 508,396

3,315 4,225 3,624 253,484

18.6 33,508 13.5 282,751 19.8 284 18.2 3,157 23.0 97,158 19.7 25,196 17.3 30,881 23.8 31,787 14.3 15,581 16.7 35,911 12.0 20,361 14.3 63,452 15.3 90,764 15.6 108,611 18.7 9,802 19.7 185,243 14.6 9,938 16.0 6,242 16.9 15,460 4.3 647 15.6 15,803 16.8 1,082,538

18.4 24.7 28.4 20.9

41 90 33 2,860

35.5 494 39.7 6,926 4.4 2 7.0 56 20.8 709 14.5 185 12.2 318 26.2 107 12.9 36 17.3 548 10.1 101 11.3 720 23.8 16 24.7 98 10.9 561 27.7 1,915 9.1 501 7.6 193 11.5 269 10.3 2 11.2 1,074 21.6 14,831

6.5 6.3 9.0 10.4

0.5 51,073 0.7 66,971 0.6 40,505 0.5 2,436,451

0.5 367 0.4 94,334 1.0 22,829 3.2 712,116 0.0 11 0.2 6,409 0.1 65 0.1 45,121 0.2 2,835 0.6 466,995 0.1 2,150 1.2 173,677 0.1 3,798 1.5 252,360 0.1 1,286 1.1 121,167 0.0 1,132 0.9 121,006 0.3 1,564 0.8 207,573 0.1 1,512 0.8 201,135 0.1 7,857 1.4 559,792 0.0 3,978 1.0 381,918 0.0 15,705 3.6 439,951 0.6 630 0.7 89,850 0.3 9,007 1.4 668,146 0.5 873 0.8 109,404 0.2 330 0.4 82,653 0.2 1,949 1.5 134,644 0.0 137 2.2 6,297 0.8 2,078 1.5 141,322 0.3 80,092 1.6 5,015,871

0.1 238 0.1 494 0.1 242 0.1 11,937

100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0

100.0 100.0 100.0 100.0

Appendix 1 219

26.3 0.0 0.0 0.0 0.0 0.0 0.0 33.2 – 0.0 0.0 0.0 0.4 26.6 0.1 5.9 5.3

0.0 0.0 0.0 0.8 0.0 –

Åland Municipality 35 Brändö 43 Eckerö 60 Finström 62 Föglö 65 Geta 76 Hammarland 170 Jomala 295 Kumlinge 318 Kökar 417 Lemland 438 Lumparland 478 Mariehamn 736 Saltvik 766 Sottunga 771 Sund 941 Vårdö Total

Rannikko/Etelärannikko Municipality 40 Dragsfjärd 49 Espoo-Esbo 78 Hanko-Hangö 91 Helsinki-Helsingfors 92 Vantaa-Vanda 101 Houtskär-Houtskari 9.4 18.9 7.9 28.8 24.6 40.5

0.0 12.1 13.4 24.2 12.6 12.8 13.8 35.0 83.7 18.6 13.4 10.5 14.2 29.2 13.0 14.3 18.0

24.3 54.7 27.1 58.9 48.7 36.6

18.8 32.8 28.3 39.7 30.5 32.4 31.6 43.4 9.7 33.7 34.4 26.9 34.0 19.5 35.4 32.0 32.3

107.9 101.4 127.0 102.8 115.2 98.8

93.1 114.8 119.4 114.0 108.0 120.0 118.7 116.5 89.1 119.8 106.7 107.9 112.3 106.1 114.0 104.6 114.6

169.2 212.1 150.4 201.7 226.6 116.3

93.4 194.4 195.5 176.4 180.3 194.7 202.1 135.7 130.8 199.3 191.1 181.1 193.0 142.3 193.7 178.7 182.3

(m3/ha)

196.5 237.8 232.9 235.3 241.4 191.0

108.7 219.1 225.6 174.5 218.1 215.3 227.8 140.9 131.9 222.0 203.7 196.8 211.1 149.0 207.4 192.9 198.0

79.1 151.1 86.6 171.2 141.0 52.0

86.1 63.7 63.0 61.3 62.9 65.1 65.3 70.3 71.7 57.7 60.6 64.6 65.9 54.1 64.7 58.6 63.4

14.8 51.0 60.0 47.2 70.7 89.3

– 36.4 30.3 5.9 39.7 31.5 21.0 16.4 11.0 24.9 17.8 30.7 25.0 8.7 20.2 18.2 24.8

142.8 165.0 138.3 137.2 157.4 126.5

92.1 146.2 141.9 136.0 139.4 144.5 147.7 115.6 93.0 143.9 145.1 115.1 151.2 102.9 144.2 137.4 138.5

Open regene- Young Advanced Young Advanced Mature Shelterwood Seed Forest ration site seedling stand seedling stand thinning stand thinning stand stand stand tree stand land total

Table 5b The mean volume of growing stock in development classes on forest land (By forestry centres).

220 Appendix 1

Ingå-Inkoo Iniö Karis-Karjaa Kauniainen-Grankulla Kimito-Kemiö Kirkkonummi-Kyrkslätt Korpo-Korppoo Lapinjärvi-Lappträsk Liljendal Loviisa-Lovisa Nagu-Nauvo Pargas-Parainen Pernå-Pernaja Pohja-Pojo Porvoo-Borgå RuotsinpyhtääStrömfors Sipoo-Sibbo Siuntio-Sjundeå Ekenäs-Tammisaari Västanfjärd

Rannikko/Pohjanmaa Municipality 231 Kaskinen-Kaskö 272 Kokkola-Karleby 280 Korsnäs 287 KristinestadKristiinankaupunki 288 Kronoby-Kruunupyy 440 Larsmo-Luoto

753 755 835 923 Total

149 150 220 235 243 257 279 407 424 434 533 573 585 606 638 701

10.4 5.4 5.8 8.9 5.0 7.7

2.1 3.1

45.3 19.3 6.9 7.9 20.9

33.5 46.6 22.2 24.0 9.6 24.7 29.0 14.6 10.3 0.0 26.8 8.8 16.5 14.2 33.6 4.6

0.0 3.3 0.7 0.7

3.9 1.2 0.0 0.0 1.8

0.0 – 0.0 – 0.0 1.3 0.0 2.6 1.7 9.6 0.0 0.0 3.6 0.0 3.4 4.2

24.0 20.8

26.1 25.7 23.9 29.4

52.5 45.3 32.5 24.5 39.8

38.8 39.5 30.6 44.5 22.2 45.8 38.8 46.4 42.6 37.5 24.1 31.7 39.4 29.0 51.5 38.0

84.9 85.2

86.0 88.6 87.7 89.3

129.6 97.7 114.9 115.8 114.6

107.5 88.0 115.0 102.3 112.4 98.4 98.0 115.5 114.6 123.5 94.3 99.4 122.5 113.8 130.1 114.4

162.2 163.0

152.5 163.2 156.3 156.6

222.9 247.0 168.4 164.8 190.5

233.4 161.4 225.5 197.6 169.4 217.2 132.6 194.6 187.6 202.6 145.1 147.4 195.1 166.2 214.4 207.8

191.6 191.7

188.1 196.9 177.5 181.1

259.6 258.1 220.8 207.3 224.6

233.8 184.8 227.9 235.9 198.7 247.0 183.9 239.4 240.4 223.8 202.3 196.0 231.4 234.8 234.7 237.3

69.5 96.3

– 97.8 105.7 125.8

104.5 116.0 86.2 74.0 99.4

96.7 43.2 85.6 187.6 72.8 124.5 26.9 144.2 95.5 151.0 73.1 70.9 140.1 83.0 123.2 151.0

11.2 12.0

3.7 13.3 25.3 21.8

57.1 56.7 47.1 12.1 46.3

43.7 81.9 50.4 52.3 21.5 42.1 85.6 38.7 36.7 21.1 60.6 26.8 26.4 31.3 25.1 18.1

(continued)

102.1 92.6

108.7 103.1 104.1 117.2

166.5 174.5 137.4 138.7 148.2

169.8 140.9 151.7 157.2 139.7 161.1 120.7 154.8 150.4 156.4 131.0 126.6 146.9 133.8 155.6 145.6

Appendix 1 221

Malax-Maalahti Korsholm-Mustasaari Närpes-Närpiö Oravais-Oravainen Jakobstad-Pietarsaari Pedersöre-Pedersören kunta NykarlebyUusikaarlepyy Vaasa-Vasa Vörå-Maxmo-VöyriMaksamaa

Lounais-Suomi Municipality 6 Alastaro 17 Askainen 19 Aura 50 Eura 51 Eurajoki 73 Halikko 79 Harjavalta 99 Honkajoki 102 Huittinen 181 Jämijärvi 202 Kaarina 214 Kankaanpää 230 Karvia

Total

905 945

893

475 499 545 559 598 599

Table 5b (continued)

17.5 0.0 9.8 11.6 6.3 0.0 15.7 6.6 17.5 13.2 0.0 9.5 4.7

1.1

23.4 12.8 40.3 31.3 32.3 14.5 25.4 17.2 26.0 12.5 13.0 17.9 18.1

8.0

7.3 9.1

9.4

1.0

0.1 0.4

5.7 13.1 6.0 11.3 8.4 7.5

0.4 0.0 0.3 1.1 0.8 2.1

41.0 33.7 38.6 39.4 40.5 35.5 40.2 18.4 40.4 26.4 32.6 23.4 16.9

25.6

25.9 27.9

26.2

25.6 22.7 28.9 26.1 29.2 22.8

121.2 120.9 108.8 115.2 117.5 117.7 119.9 77.4 122.1 109.7 118.4 94.4 76.7

84.1

75.9 91.6

87.4

80.7 69.0 82.1 89.6 92.0 85.7

191.4 177.1 198.1 194.0 211.2 195.7 186.3 150.2 205.3 180.9 185.4 170.3 147.2

155.7

167.3 164.5

129.3

151.8 164.9 160.0 141.8 137.0 147.2

(m3/ha)

231.9 195.9 228.3 229.8 237.3 224.9 233.3 155.3 257.7 209.6 193.2 198.6 172.3

186.7

202.8 181.0

168.7

192.4 196.1 188.5 179.9 181.0 189.2

102.2 84.0 125.1 122.3 115.1 118.7 100.9 51.6 102.7 87.4 111.9 107.5 62.7

98.9

149.4 115.7

67.4

131.5 148.8 148.1 75.2 76.4 68.3

33.4 31.0 29.3 38.1 37.8 31.7 31.7 36.6 42.1 30.3 29.0 38.2 34.1

21.7

41.7 28.3

15.9

24.5 37.8 28.3 17.0 10.4 16.1

148.0 144.4 150.2 143.6 148.0 152.6 138.4 92.9 153.3 121.7 133.7 112.1 93.2

104.3

118.7 110.7

90.4

97.2 106.4 113.5 98.2 95.0 97.2

Open regene- Young Advanced Young Advanced Mature Shelterwood Seed Forest ration site seedling stand seedling stand thinning stand thinning stand stand stand tree stand land total

222 Appendix 1

252 254 259 262 271 284 304 308 319 400 406 413 419 423 430 442 480 481 482 484 485 501 503 529 531 537 538 561 577 586 587 602

Kiikala Kiikoinen Kisko Kiukainen Kokemäki Koski Tl Kustavi Kuusjoki Köyliö Laitila Lappi Lavia Lemu Lieto Loimaa Luvia Marttila Masku Mellilä Merikarvia Merimasku Muurla Mynämäki Naantali Nakkila Noormarkku Nousiainen Oripää Paimio Perniö Pertteli Piikkiö

8.0 12.0 7.2 8.2 11.7 20.1 0.0 16.7 8.8 7.4 10.0 13.9 0.1 5.2 18.2 10.4 19.8 0.1 20.6 13.5 0.0 4.1 10.1 0.0 7.7 12.1 18.0 9.6 0.0 3.2 9.2 0.0

30.6 13.4 31.1 26.4 28.8 20.8 27.9 31.1 30.0 40.7 34.1 14.6 17.8 35.7 20.8 33.9 34.3 24.6 20.6 20.2 20.5 32.2 33.6 14.7 24.2 19.5 30.1 32.6 16.0 35.3 32.7 14.6

37.3 28.4 35.8 39.1 35.2 43.7 29.9 42.9 40.4 38.4 39.5 30.9 31.9 38.9 41.2 43.6 43.5 33.7 44.4 30.0 36.1 35.3 36.8 33.1 34.4 33.9 37.9 37.6 32.9 36.5 37.6 32.3

111.4 118.1 111.7 121.0 119.1 121.3 104.3 116.6 111.5 111.5 110.6 115.5 108.9 107.9 121.3 114.5 113.4 109.5 117.3 115.5 124.4 112.4 109.6 119.8 122.7 116.8 116.4 109.4 121.9 109.2 112.0 123.2

196.6 199.3 202.1 206.4 191.4 218.2 160.8 199.2 187.9 196.1 191.8 197.2 175.0 194.9 218.7 237.2 190.7 173.6 209.3 197.6 166.3 205.0 184.0 174.2 217.5 197.9 191.2 174.2 186.4 205.2 201.0 188.9

230.3 241.9 223.3 243.5 241.7 255.9 196.8 245.0 221.5 222.9 222.5 218.0 204.3 218.7 252.0 269.3 239.3 208.2 243.6 213.3 195.5 219.5 217.9 190.9 262.6 239.1 225.9 218.1 209.3 214.2 224.6 198.6

115.7 107.4 97.6 121.6 101.4 105.2 75.0 121.5 119.3 119.0 122.3 102.4 97.4 127.4 121.7 112.9 115.5 95.9 111.3 115.2 71.9 127.7 118.9 92.9 126.3 118.1 122.4 120.3 116.7 121.4 128.1 110.8

30.9 28.8 30.5 38.3 31.6 34.9 62.1 35.4 38.0 36.7 36.9 32.9 24.4 29.2 40.2 78.7 35.2 25.6 40.4 34.3 59.9 31.8 38.4 35.5 55.0 30.5 38.1 29.3 31.4 29.8 25.3 30.1 (continued)

155.5 136.9 153.5 147.1 140.6 165.2 142.9 164.7 140.6 144.5 141.3 131.9 126.2 150.8 165.5 168.5 151.6 134.4 152.2 125.1 150.7 154.9 135.2 142.1 150.2 142.6 151.0 140.2 146.4 157.9 154.5 143.1

Appendix 1 223

608 609 631 636 680 684 704 705 734 738 747 761 776 783 784 833 838 853 886 895 906 913 918 920 979 Total

Pomarkku Pori Pyhäranta Pöytyä Raisio Rauma Rusko Rymättylä Salo Sauvo Siikainen Somero Suomusjärvi Säkylä Särkisalo-Finby Taivassalo Tarvasjoki Turku-Åbo Ulvila Uusikaupunki Vahto Vampula Vehmaa Velkua Yläne

Table 5b (continued)

14.2 8.7 7.5 12.5 0.0 12.9 0.2 0.0 3.2 0.0 15.4 14.9 3.7 13.7 0.0 0.0 12.1 0.0 12.3 2.3 14.2 16.2 0.0 0.0 15.7 10.8

19.4 22.4 43.0 39.4 14.6 38.8 27.2 26.0 31.0 20.0 21.0 24.0 20.8 29.3 19.9 17.4 42.0 16.8 18.6 23.8 30.6 25.1 20.2 31.1 34.7 25.6

32.5 35.6 40.9 38.3 33.5 41.8 34.9 33.5 37.3 34.3 27.4 41.9 35.5 40.7 40.6 30.0 38.5 33.3 35.5 33.8 38.1 40.5 34.6 30.9 40.0 34.4

114.6 115.5 116.1 111.0 112.0 114.6 106.5 105.8 113.4 117.6 105.4 123.0 112.7 111.6 119.0 116.6 111.8 109.3 115.6 112.9 116.3 125.1 116.9 77.3 108.8 110.3

(m3/ha) 201.2 216.5 199.6 189.9 184.2 195.8 175.8 162.4 202.6 180.9 189.7 211.5 200.4 183.0 197.1 166.7 201.0 178.3 199.4 178.6 190.1 198.8 178.3 152.9 186.0 191.9 239.9 254.0 218.0 230.5 196.8 215.1 216.7 183.0 209.9 206.2 203.4 249.4 234.4 213.8 226.2 182.7 227.7 200.1 232.6 196.0 223.0 246.5 193.6 185.3 213.6 222.7

132.7 101.8 104.1 126.3 101.8 111.2 73.9 89.0 120.3 97.0 131.8 109.7 103.0 116.3 105.6 84.5 122.7 104.3 103.1 97.1 124.2 95.5 98.6 61.7 124.6 109.1

40.7 56.1 43.8 32.1 29.9 42.1 26.5 56.0 28.6 27.8 34.6 35.6 29.9 35.8 26.6 39.7 29.7 30.1 38.7 30.6 43.8 38.2 25.5 70.3 47.7 37.0

154.5 144.0 152.2 149.4 133.4 144.7 136.4 141.5 147.8 135.0 121.7 161.8 150.3 141.3 155.3 140.8 152.9 131.5 138.1 128.4 148.9 158.3 127.5 137.1 140.8 139.8

Open regene- Young Advanced Young Advanced Mature Shelterwood Seed Forest ration site seedling stand seedling stand thinning stand thinning stand stand stand tree stand land total

224 Appendix 1

Häme-Uusimaa Municipality 15 Artjärvi 16 Asikkala 18 Askola 61 Forssa 81 Hartola 82 Hattula 83 Hauho 86 Hausjärvi 98 Hollola 103 Humppila 106 Hyvinkää 109 Hämeenlinna 111 Heinola 165 Janakkala 169 Jokioinen 186 Järvenpää 210 Kalvola 223 Karjalohja 224 Karkkila 245 Kerava 283 Hämeenkoski 316 Kärkölä 398 Lahti 401 Lammi 433 Loppi 444 Lohja-Lojo 504 Myrskylä-Mörskom 505 Mäntsälä 532 Nastola 540 Nummi-Pusula

19.2 4.4 7.6 8.0 0.0 13.7 10.2 10.0 10.6 7.1 7.6 4.1 23.8 0.9 14.4 6.3 9.3 2.1 2.9 10.3 3.4 9.3 22.1 0.7 3.3 0.4 5.9 11.4 18.8 3.4

38.1 20.0 32.3 25.0 25.7 14.4 13.4 22.1 29.1 37.6 18.0 8.2 21.0 12.5 36.9 16.9 15.7 18.0 8.9 21.5 20.4 25.7 31.9 15.4 8.7 8.5 35.0 25.5 23.4 16.2

36.1 41.8 38.5 40.8 41.7 36.9 40.4 37.6 38.0 49.9 34.0 38.0 43.6 37.4 40.2 35.6 42.9 25.4 29.3 35.0 41.2 38.1 41.0 44.3 35.8 25.4 40.9 39.9 38.5 21.8

106.9 125.9 121.2 106.1 131.9 114.6 116.7 127.0 113.5 91.2 118.7 120.3 114.4 124.9 105.8 129.0 117.3 106.5 115.4 133.2 120.7 117.8 106.2 119.5 113.4 97.6 113.1 124.6 101.5 109.9

200.0 211.2 209.0 204.0 215.2 211.6 240.5 224.6 222.8 221.4 215.7 222.7 205.6 219.3 216.2 235.8 213.0 206.6 218.5 234.7 223.6 232.1 209.9 211.0 214.1 231.4 202.5 234.6 201.6 215.9

242.5 260.1 260.9 275.9 247.5 254.3 263.7 259.2 258.9 270.0 264.0 264.0 231.5 275.7 273.2 245.4 254.8 234.4 258.1 273.6 262.1 264.7 249.0 253.3 267.6 240.7 252.3 266.4 238.6 239.8

111.1 142.4 126.1 139.6 125.5 70.6 142.8 135.9 129.6 111.8 107.8 56.7 124.9 125.1 146.6 140.1 80.5 – 52.2 106.5 149.2 136.1 96.8 181.5 70.6 48.0 126.1 128.5 108.4 36.7

57.2 15.8 47.9 60.7 13.0 42.3 14.9 33.6 38.9 0.0 61.4 34.9 15.5 35.6 60.8 65.6 41.5 47.8 62.5 82.1 5.4 43.3 24.0 0.9 54.5 64.3 48.1 44.0 20.7 67.4

(continued)

146.9 157.6 166.1 155.8 155.9 145.6 176.8 158.6 149.5 167.3 156.5 153.2 143.7 162.0 167.1 139.8 147.3 137.3 162.6 151.2 154.7 159.2 134.6 152.0 158.6 154.7 156.8 171.4 136.4 146.4

Appendix 1 225

Nurmijärvi Orimattila Padasjoki Pornainen Pukkila Renko Riihimäki Sammatti Sysmä Tammela Tuulos Tuusula Vihti Ypäjä

Kaakkois-Suomi Municipality 44 Elimäki 75 Hamina 142 Iitti 153 Imatra 163 Jaala 173 Joutseno 285 Kotka 286 Kouvola 306 Kuusankoski

543 560 576 611 616 692 694 737 781 834 855 858 927 981 Total

Table 5b (continued)

4.2 3.9 6.8 13.3 7.5 12.3 2.5 6.7 6.9

5.2 13.7 0.0 6.6 6.0 0.0 0.4 1.9 0.0 4.7 1.1 8.6 0.0 20.5 6.5

16.7 13.4 17.1 6.8 17.5 9.1 15.8 12.3 14.3

13.2 33.4 17.1 24.8 30.1 7.4 13.4 14.5 27.6 22.0 10.7 16.3 11.0 38.5 20.0

33.1 31.5 35.3 25.2 36.2 26.3 33.4 29.6 34.0

31.8 32.6 49.2 36.3 37.9 38.8 32.7 24.9 45.4 36.0 37.8 33.3 28.7 38.1 38.5

116.4 110.8 111.3 125.1 116.6 123.2 112.3 113.4 111.9

122.1 106.6 122.4 128.0 115.2 108.1 123.4 106.8 136.2 104.4 118.6 127.9 114.0 100.0 117.1

205.1 196.2 198.9 223.8 210.5 222.5 204.9 195.2 204.2

(m3/ha) 228.6 206.5 210.5 221.9 215.3 221.6 223.5 207.2 211.8 202.4 217.1 239.6 222.9 213.0 215.8

259.5 249.2 248.7 260.9 247.3 259.6 238.5 244.9 251.8

250.9 248.9 257.9 261.3 265.3 257.2 290.4 233.8 246.2 256.2 252.5 263.8 240.0 295.4 254.5

142.1 127.1 118.6 115.4 111.8 114.6 125.8 116.5 112.9

81.7 108.8 150.5 97.2 120.7 72.9 103.5 0.0 138.4 115.7 200.3 97.6 52.9 123.5 117.2

18.6 19.8 20.1 24.9 18.7 31.3 16.8 13.4 15.4

67.2 53.4 8.0 43.2 50.0 37.6 54.7 42.8 24.6 61.4 0.0 86.8 77.2 0.0 46.3

149.0 136.2 138.1 149.8 150.5 154.9 135.2 119.2 135.5

157.7 139.8 163.5 155.9 149.0 160.5 160.6 135.3 161.6 150.9 151.7 160.7 164.7 172.1 155.4

Open regene- Young Advanced Young Advanced Mature Shelterwood Seed Forest ration site seedling stand seedling stand thinning stand thinning stand stand stand tree stand land total

226 Appendix 1

Lappeenranta Lemi Luumäki Miehikkälä Parikkala Pyhtää-Pyttis Rautjärvi Ruokolahti Savitaipale Anjalankoski Suomenniemi Taipalsaari Valkeala Virolahti Ylämaa

Pirkanmaa Municipality 20 Akaa 108 Hämeenkyrö 143 Ikaalinen 177 Juupajoki 211 Kangasala 250 Kihniö 289 Kuhmalahti 303 Kuru 310 Kylmäkoski 418 Lempäälä 493 Mouhijärvi 506 Mänttä 536 Nokia

405 416 441 489 580 624 689 700 739 754 775 831 909 935 978 Total

16.5 12.2 9.1 8.1 11.1 6.3 9.5 7.7 12.1 12.5 12.7 8.4 12.6

6.0 8.7 3.6 7.0 11.5 1.9 20.2 14.9 9.6 2.8 19.7 11.2 5.2 4.8 5.5 8.3

18.1 23.1 16.5 19.5 21.6 11.6 19.3 16.5 22.3 24.6 22.9 18.9 28.9

6.9 10.9 10.2 6.6 7.7 23.3 8.4 9.4 13.4 15.1 13.6 11.0 14.4 5.3 4.8 11.3

27.9 27.9 27.4 27.8 32.0 29.4 37.4 30.1 31.5 30.4 27.2 31.6 27.2

26.7 28.1 31.7 26.8 37.1 34.6 30.2 31.3 29.9 32.9 24.1 32.2 33.8 25.9 26.4 31.4

120.8 113.0 102.4 112.5 119.9 91.8 122.7 104.1 117.8 120.7 111.6 118.7 114.1

114.6 119.9 107.0 104.2 113.1 117.7 119.0 114.8 120.5 108.9 116.6 118.0 111.7 102.8 105.3 112.8

204.4 209.3 183.5 205.2 209.1 151.6 213.4 179.8 206.8 220.1 199.2 216.8 211.6

215.0 220.4 200.0 201.6 196.7 208.5 209.6 198.9 198.8 194.0 184.2 201.7 200.9 202.1 211.0 203.2

245.8 255.7 230.5 252.0 250.9 190.3 244.1 224.1 248.4 264.3 250.1 265.0 256.2

275.6 268.1 269.9 256.7 257.2 235.8 263.5 260.8 252.1 250.0 226.2 242.9 253.5 251.1 261.1 254.6

108.7 136.1 114.0 108.1 116.9 74.9 105.8 118.7 97.7 145.0 129.8 133.4 125.3

98.3 97.0 113.9 126.6 101.8 138.6 107.2 112.5 91.6 134.9 82.0 111.0 112.3 123.5 119.9 121.0

33.4 38.6 34.9 36.4 38.5 31.6 37.7 43.1 40.2 39.4 43.8 34.5 45.5

26.5 25.5 20.9 29.2 36.3 17.7 35.2 26.8 19.7 17.7 28.1 28.8 17.3 24.5 32.8 23.6

(continued)

131.8 142.1 126.9 144.0 142.3 108.8 153.3 132.7 146.6 151.7 134.3 153.3 139.6

146.8 155.8 142.2 131.1 123.1 142.3 144.4 142.2 150.6 135.7 138.0 149.5 141.3 121.6 132.9 140.6

Appendix 1 227

Orivesi Parkano Pirkkala Punkalaidun Pälkäne Ruovesi Tampere Urjala Valkeakoski Vammala Vesilahti Vilppula Virrat Ylöjärvi Äetsä

Etelä-Savo Municipality 46 Enonkoski 90 Heinävesi 97 Hirvensalmi 171 Joroinen 178 Juva 213 Kangasniemi 246 Kerimäki 491 Mikkeli

562 581 604 619 635 702 837 887 908 912 922 933 936 980 988 Total

Table 5b (continued)

10.0 12.1 8.0 4.8 4.2 4.6 25.8 3.7

8.9 5.3 16.6 21.0 11.0 8.2 10.9 10.8 15.5 11.5 10.8 7.6 7.2 10.2 10.4 9.8

9.1 7.8 13.1 15.7 12.9 13.9 8.2 9.9

21.2 12.3 24.4 24.0 18.1 17.1 21.3 20.2 19.7 21.2 22.8 15.8 11.6 21.4 18.6 18.4

27.6 25.1 35.7 28.3 30.4 28.8 31.7 29.4

29.7 27.2 25.3 43.6 39.3 29.6 28.5 32.4 31.7 27.5 27.1 31.2 27.0 28.2 26.0 29.5

120.2 111.7 122.9 109.4 111.9 107.2 117.0 113.0

116.1 90.4 118.7 116.0 127.0 112.4 115.8 114.4 123.9 110.0 116.2 114.7 98.6 111.4 110.5 109.2

205.6 211.0 204.6 214.6 205.9 198.3 200.4 201.1

(m3/ha) 204.8 154.7 223.8 224.2 226.5 202.5 215.7 211.4 216.9 196.2 215.2 208.4 169.2 210.3 187.7 196.9

263.5 239.9 259.5 278.2 268.4 274.8 255.8 266.9

253.8 197.1 266.3 253.7 248.2 250.0 254.6 253.3 256.4 252.0 265.6 258.5 218.2 254.9 249.5 242.8

66.3 87.8 80.5 86.3 89.5 94.2 145.5 95.3

121.9 89.9 131.2 111.7 117.6 116.9 133.6 111.2 104.1 123.2 123.7 121.6 100.6 126.9 112.4 117.4

26.3 12.4 39.4 19.8 27.3 29.6 26.3 35.7

39.8 34.4 37.3 42.3 35.4 38.8 38.2 38.4 35.3 43.0 42.6 39.1 34.3 38.2 41.9 38.7

136.6 125.8 141.3 135.7 139.2 134.9 132.3 137.6

143.1 107.4 144.9 164.9 165.2 149.6 149.7 149.9 148.1 135.3 155.3 150.1 117.0 142.7 127.0 137.7

Open regene- Young Advanced Young Advanced Mature Shelterwood Seed Forest ration site seedling stand seedling stand thinning stand thinning stand stand stand tree stand land total

228 Appendix 1

Mäntyharju Pertunmaa Pieksämäki Punkaharju Puumala Rantasalmi Ristiina Savonlinna Savonranta Sulkava

Etelä-Pohjanmaa Municipality 4 Alahärmä 5 Alajärvi 10 Alavus 52 Evijärvi 74 Halsua 95 Himanka 145 Ilmajoki 151 Isojoki 152 Isokyrö 164 Jalasjärvi 175 Jurva 217 Kannus 218 Karijoki 232 Kauhajoki 233 Kauhava 236 Kaustinen 281 Kortesjärvi

507 588 593 618 623 681 696 740 741 768 Total

1.7 3.0 2.4 1.9 0.8 2.1 0.7 1.6 0.4 2.2 0.5 1.2 0.8 1.1 1.0 0.7 1.0

4.7 4.9 4.7 18.2 28.2 8.1 4.8 23.7 7.4 19.1 9.5

2.8 4.2 4.1 3.5 8.3 6.0 4.6 8.3 5.9 6.6 3.2 5.9 8.5 5.1 3.6 7.1 3.8

12.4 13.0 15.1 7.1 10.2 11.8 9.9 6.4 11.9 9.2 11.3

15.7 18.6 22.1 19.7 23.9 20.8 18.5 24.6 26.6 17.8 24.2 20.0 20.0 15.5 16.5 19.5 16.2

26.3 31.7 26.7 31.2 33.0 34.0 33.2 32.1 28.4 29.3 29.6

84.6 77.4 79.9 79.5 71.2 89.4 78.8 74.5 86.9 79.4 73.9 85.8 73.8 65.3 80.5 72.9 79.9

118.8 108.5 104.5 114.2 116.3 107.7 116.6 121.3 104.1 116.1 112.7

145.9 149.5 153.9 160.5 141.6 163.3 146.4 149.7 142.5 148.9 149.8 158.3 140.9 139.4 151.9 147.6 146.3

191.4 214.8 208.6 201.4 175.4 215.4 197.4 192.8 202.4 196.1 201.4

183.1 176.3 179.4 195.5 149.4 179.6 168.8 173.9 175.7 184.2 175.5 169.7 184.6 161.4 187.7 170.3 194.6

261.6 240.9 269.1 289.2 235.0 261.7 249.7 250.8 272.3 259.5 261.4

77.0 92.0 91.0 70.4 92.2 94.2 129.7 96.4 124.4 58.0 126.5 92.9 88.8 81.0 83.6 92.1 82.4

111.7 97.6 63.3 93.0 171.1 91.5 103.9 132.8 80.0 115.4 101.9

15.5 32.3 22.3 10.1 14.4 9.0 19.0 19.3 20.5 19.0 25.4 10.4 24.8 21.9 13.6 8.5 10.6

26.6 34.3 20.1 27.6 21.3 28.4 29.9 27.3 19.7 26.4 26.5

(continued)

84.5 92.9 98.5 93.0 73.2 101.6 106.6 104.0 94.7 99.0 107.3 93.0 103.6 81.6 94.2 82.7 88.6

128.5 132.4 128.4 144.2 133.7 130.2 138.3 134.5 130.4 132.4 133.8

Appendix 1 229

300 301 315 399 403 408 414 421 429 544 584 743 759 846 849 863 885 924 934 942 971 975 989 Total

Kuortane Kurikka Kälviä Laihia Lappajärvi Lapua Lehtimäki Lestijärvi Lohtaja Nurmo Perho Seinäjoki Soini Teuva Toholampi Töysä Ullava Veteli Vimpeli Vähäkyrö Ylihärmä Ylistaro Ähtäri

Table 5b (continued)

0.6 1.3 1.5 0.3 1.6 1.8 2.7 1.6 0.8 1.6 10.5 3.2 5.1 1.0 0.6 0.4 0.4 6.0 6.2 0.1 3.2 1.0 2.1 1.7

3.7 7.8 7.1 4.1 4.8 6.8 4.3 8.4 4.8 7.7 2.3 6.1 5.1 6.7 10.7 4.0 11.5 6.9 5.2 8.7 4.1 6.8 5.8 5.6

18.0 15.9 25.9 25.8 19.0 20.4 18.7 20.6 21.7 19.2 19.4 19.5 20.2 18.4 27.7 21.2 23.9 19.4 19.7 23.2 18.5 20.4 19.7 20.4

78.8 74.5 74.4 81.9 81.0 80.6 72.9 74.1 78.8 70.9 73.9 79.3 80.0 71.1 75.5 83.1 77.4 80.0 80.2 82.4 87.8 84.9 82.4 77.3

(m3/ha) 156.1 145.1 155.1 149.7 152.9 156.4 139.9 150.9 156.2 148.6 145.0 144.1 159.3 142.9 153.5 154.3 144.5 159.5 153.2 158.9 153.5 143.5 154.4 150.3 196.6 178.8 170.0 187.8 182.9 180.2 181.8 165.9 165.5 170.9 167.5 173.7 187.9 175.0 173.7 197.3 178.6 199.0 182.8 186.0 169.4 166.0 205.2 179.1

87.5 82.3 81.2 145.5 92.0 62.2 92.0 83.7 94.8 59.7 72.9 85.8 89.9 96.3 92.3 43.3 92.3 91.6 92.0 149.0 40.7 95.7 78.9 93.7

19.5 26.4 13.9 22.5 22.5 18.1 33.9 15.4 8.3 25.6 15.5 17.3 22.8 22.9 17.5 12.7 14.5 13.5 15.4 38.0 23.4 20.6 20.5 19.4

103.8 99.7 89.7 106.1 96.5 100.8 94.8 84.2 87.1 91.3 67.0 90.9 98.6 101.0 94.1 106.2 91.8 93.7 92.6 99.7 91.6 96.7 100.9 93.9

Open regene- Young Advanced Young Advanced Mature Shelterwood Seed Forest ration site seedling stand seedling stand thinning stand thinning stand stand stand tree stand land total

230 Appendix 1

Keski-Suomi Municipality 77 Hankasalmi 172 Joutsa 179 Jyväskylä 180 Jyväskylän mlk 182 Jämsä 183 Jämsänkoski 216 Kannonkoski 226 Karstula 249 Keuruu 256 Kinnula 265 Kivijärvi 275 Konnevesi 277 Korpilahti 291 Kuhmoinen 312 Kyyjärvi 410 Laukaa 415 Leivonmäki 435 Luhanka 495 Multia 500 Muurame 592 Petäjävesi 601 Pihtipudas 633 Pylkönmäki 729 Saarijärvi 850 Toivakka 892 Uurainen 931 Viitasaari 992 Äänekoski Total

4.0 7.2 4.8 4.0 5.6 4.4 3.7 3.1 3.7 3.3 2.5 3.0 5.2 6.5 2.1 3.4 4.0 7.2 3.4 4.0 3.8 3.6 3.2 3.3 4.4 3.4 6.4 2.9 4.1

10.4 11.1 15.0 13.0 14.7 11.0 10.5 8.6 7.9 8.5 7.9 10.9 12.9 13.0 7.3 11.9 12.2 13.1 8.2 12.9 11.5 9.3 7.6 9.4 14.2 12.0 10.1 15.0 10.6

24.4 30.4 26.7 23.9 26.7 23.9 20.5 21.4 23.7 17.9 18.2 21.5 25.2 25.3 19.8 23.6 24.3 27.5 21.5 25.6 22.4 18.6 21.9 21.9 23.8 23.1 19.1 22.3 22.6

106.0 116.7 111.3 108.9 111.1 103.5 95.4 85.4 90.9 84.4 89.4 103.6 111.2 111.0 77.3 107.4 104.4 114.0 89.7 110.7 101.4 88.6 88.7 97.5 109.9 99.0 96.9 101.8 97.7

213.2 223.8 212.4 210.7 209.0 201.2 181.0 173.6 183.8 161.9 171.3 205.5 215.1 210.1 150.5 207.6 204.5 216.8 180.9 213.6 196.7 172.1 177.6 189.3 209.0 192.0 186.5 193.6 195.1

251.1 260.5 247.2 248.2 251.1 247.6 230.6 223.6 242.8 208.4 217.2 244.6 249.8 243.8 197.3 248.7 250.8 252.1 233.5 245.8 242.7 224.3 226.6 243.8 247.7 244.0 238.6 243.8 241.0

121.1 124.1 127.0 125.5 122.8 117.7 78.7 81.3 111.2 74.0 74.0 78.6 117.1 126.8 84.0 139.2 109.7 119.7 116.0 134.5 126.9 70.9 114.3 111.7 112.1 135.8 67.3 84.9 115.6

32.8 31.4 27.9 28.8 34.3 27.4 14.6 15.9 19.1 13.2 12.1 26.6 31.0 31.9 15.4 31.4 28.9 30.4 19.9 30.9 31.0 14.3 15.6 18.6 31.2 29.5 21.6 27.3 25.7

(continued)

138.6 141.1 132.5 134.3 140.1 123.3 110.1 97.2 110.2 85.2 98.8 128.7 133.5 137.2 83.0 132.2 132.1 133.3 104.1 130.4 119.7 100.5 100.0 117.6 132.4 120.9 113.1 125.8 118.4

Appendix 1 231

Pohjois-Savo Municipality 140 Iisalmi 174 Juankoski 204 Kaavi 227 Karttula 239 Keitele 263 Kiuruvesi 297 Kuopio 402 Lapinlahti 420 Leppävirta 476 Maaninka 534 Nilsiä 595 Pielavesi 686 Rautalampi 687 Rautavaara 749 Siilinjärvi 762 Sonkajärvi 778 Suonenjoki 844 Tervo 857 Tuusniemi 915 Varkaus 916 Varpaisjärvi 921 Vesanto 925 Vieremä Total

Table 5b (continued)

12.7 9.2 5.5 6.4 4.6 13.2 6.5 10.9 1.8 8.7 12.5 10.7 2.7 8.5 8.7 10.8 2.0 8.1 3.9 5.0 12.5 4.4 11.5 8.3

4.8 6.9 7.3 12.2 8.5 5.3 8.6 6.8 6.7 9.2 7.8 7.5 12.5 4.7 6.8 4.6 11.7 11.5 7.6 10.1 5.6 10.5 4.3 7.5

20.5 23.2 24.5 26.3 20.2 21.5 27.7 21.1 29.9 22.9 23.0 21.5 23.4 18.9 21.6 19.7 23.5 23.9 27.5 35.6 21.3 21.1 21.4 23.2

90.6 94.3 92.1 97.2 91.1 81.8 99.3 91.3 100.9 98.3 93.1 91.1 103.6 84.2 97.2 81.8 99.6 97.4 95.4 110.9 89.7 99.1 82.2 91.0

192.5 208.6 200.6 202.2 182.1 165.4 213.8 192.5 214.9 205.7 207.3 182.1 203.4 167.3 210.4 165.9 202.8 202.4 209.8 216.0 191.1 195.6 165.1 193.9

(m3/ha)

256.0 260.0 250.4 249.5 238.8 251.9 253.1 252.4 249.9 252.2 259.0 248.7 245.2 237.0 253.4 241.8 245.8 251.9 245.1 261.0 251.2 241.7 246.7 249.4

105.8 88.3 69.7 60.3 57.7 125.0 55.5 90.5 56.6 76.7 98.6 66.8 88.8 113.8 73.8 110.5 73.9 63.4 50.0 96.3 97.6 57.2 112.1 85.8

15.5 29.4 25.2 29.9 25.8 20.8 31.4 23.1 43.1 28.1 27.9 24.8 32.6 25.6 27.4 20.1 30.0 27.5 28.1 33.1 23.5 28.8 18.3 27.8

111.3 123.7 126.5 126.5 112.4 95.5 135.9 117.8 145.0 131.4 123.6 113.6 124.0 98.0 122.2 93.4 133.3 122.3 123.1 138.1 114.7 119.4 93.8 116.8

Open regene- Young Advanced Young Advanced Mature Shelterwood Seed Forest ration site seedling stand seedling stand thinning stand thinning stand stand stand tree stand land total

232 Appendix 1

3.3 0.4 4.8 3.0 10.3 3.8 14.6 6.6 4.5 24.9 1.5 9.3 6.5 3.4 0.9 1.4 5.2

3.4 10.0 4.6 11.3 4.5 4.5 5.7 3.0 22.1 6.2

Pohjois-Karjala Municipality 45 Eno 146 Ilomantsi 167 Joensuu 176 Juuka 248 Kesälahti 260 Kitee 276 Kontiolahti 309 Outokumpu 422 Lieksa 426 Liperi 541 Nurmes 607 Polvijärvi 632 Pyhäselkä 707 Rääkkylä 848 Tohmajärvi 911 Valtimo Total

Kainuu Municipality 105 Hyrynsalmi 205 Kajaani 290 Kuhmo 578 Paltamo 620 Puolanka 697 Ristijärvi 765 Sotkamo 777 Suomussalmi 785 Vaala Total 8.6 7.7 8.8 5.1 6.3 8.0 6.5 6.6 8.2 7.3

5.6 9.5 8.5 5.6 9.1 7.5 9.9 25.9 9.4 10.1 5.5 5.3 10.1 10.0 15.9 4.5 8.6

19.6 23.5 19.3 21.6 18.3 19.1 22.0 19.6 21.4 20.1

18.3 18.8 21.9 19.9 36.9 28.4 27.4 32.7 18.2 34.1 22.8 23.9 29.0 34.7 21.1 24.5 22.8

67.2 74.0 68.6 77.3 61.3 70.7 76.3 58.8 65.1 67.5

87.1 82.6 94.0 83.8 109.6 103.3 91.8 109.8 85.3 102.0 77.5 100.1 96.4 103.5 95.5 79.8 88.3

130.7 137.9 138.7 139.8 123.6 131.4 140.8 117.6 124.3 131.3

169.0 148.9 173.0 157.6 168.3 186.8 172.3 166.8 155.4 194.4 143.0 176.1 190.8 199.9 168.5 144.9 164.1

184.7 165.1 201.8 188.0 173.2 192.4 198.9 170.7 144.8 183.1

246.2 207.0 246.4 217.5 238.2 273.6 270.0 238.3 207.4 254.9 219.1 254.8 283.3 275.0 265.4 199.7 231.0

107.6 114.4 72.7 124.3 122.1 119.2 118.5 104.9 59.5 101.0

137.1 92.5 54.7 168.8 60.9 192.2 84.7 0.0 86.0 0.1 45.8 3.1 103.3 169.0 235.0 75.8 90.8

17.0 25.2 25.6 19.3 13.7 18.2 23.4 28.2 7.9 20.3

29.0 21.5 23.7 8.8 15.6 16.4 10.0 5.8 27.6 18.3 11.7 30.5 9.2 4.5 20.5 17.3 19.8

(continued)

78.7 80.8 83.8 85.6 73.2 81.8 85.1 72.4 73.8 78.9

102.7 93.5 114.9 103.2 117.5 121.8 117.7 130.1 97.0 121.9 92.1 114.8 120.2 129.8 114.2 84.6 104.5

Appendix 1 233

Pohjois-Pohjanmaa Municipality 9 Alavieska 69 Haapajärvi 71 Haapavesi 72 Hailuoto 84 Haukipudas 139 Ii 208 Kalajoki 244 Kempele 247 Kestilä 255 Kiiminki 305 Kuusamo 317 Kärsämäki 425 Liminka 436 Lumijoki 483 Merijärvi 494 Muhos 535 Nivala 563 Oulainen 564 Oulu 567 Oulunsalo 603 Piippola 615 Pudasjärvi 617 Pulkkila 625 Pyhäjoki 626 Pyhäsalmi

Table 5b (continued)

2.4 3.5 3.2 7.6 4.7 4.3 1.2 2.2 11.7 5.5 4.9 4.6 0.6 3.1 2.5 2.9 2.9 2.6 4.7 1.1 8.5 6.5 5.4 1.0 3.7

5.6 1.6 5.1 5.7 6.6 8.1 6.1 11.0 8.0 6.7 9.0 4.5 7.9 9.5 6.2 8.2 3.8 4.8 7.8 6.8 5.8 8.0 4.5 7.7 0.9

23.0 26.7 25.2 24.1 22.2 22.0 25.2 22.1 20.3 23.0 16.8 23.9 21.3 24.4 24.1 20.6 24.5 19.8 24.2 23.8 21.6 18.0 19.8 26.6 28.1

81.2 87.8 84.2 78.0 79.5 77.3 75.3 76.9 74.1 78.7 58.2 86.6 72.3 81.0 84.0 72.1 87.7 80.4 84.0 78.7 78.8 63.1 81.8 78.6 83.6

135.6 146.5 144.9 132.5 134.0 126.4 129.0 129.9 128.3 136.1 99.9 140.7 127.3 139.4 136.9 122.3 145.2 137.1 135.1 134.2 133.1 116.2 138.2 132.1 133.2

(m3/ha)

163.6 188.5 163.4 127.4 138.5 130.6 123.9 129.9 144.9 144.3 133.5 179.2 130.9 134.0 162.5 133.0 162.5 144.2 144.1 134.4 153.9 134.9 161.3 146.3 179.5

39.0 38.9 38.2 97.0 121.9 89.4 0.0 118.6 125.3 144.7 45.6 30.3 112.9 96.2 1.7 127.9 2.1 39.0 133.4 153.2 37.8 95.9 77.6 39.0 3.7

2.8 7.9 4.4 8.7 18.0 32.8 3.2 32.3 5.6 21.8 36.9 10.6 3.5 15.4 2.1 7.9 6.6 1.7 28.3 27.2 6.9 16.7 6.9 4.0 14.6

88.3 98.2 96.9 76.4 81.7 79.7 78.7 78.1 80.6 86.5 68.6 95.5 73.0 81.1 96.3 73.3 97.6 90.2 92.0 83.8 86.5 67.7 92.4 84.1 89.6

Open regene- Young Advanced Young Advanced Mature Shelterwood Seed Forest ration site seedling stand seedling stand thinning stand thinning stand stand stand tree stand land total

234 Appendix 1

Pyhäntä Raahe Rantsila Reisjärvi Sievi Siikajoki Taivalkoski Tyrnävä Utajärvi Vihanti Yli-Ii Ylikiiminki Ylivieska

Lapland Municipality 47 Enontekiö 148 Inari 240 Kemi 241 Keminmaa 261 Kittilä 273 Kolari 320 Kemijärvi 498 Muonio 583 Pelkosenniemi 614 Posio 683 Ranua 698 Rovaniemi 732 Salla 742 Savukoski 751 Simo

630 678 682 691 746 748 832 859 889 926 972 973 977 Total

8.2 12.5 7.8 9.0 13.0 13.1 10.2 4.4 10.2 7.6 12.1 12.8 8.5 13.0 4.4

19.6 0.3 5.4 1.1 1.2 1.9 7.1 0.2 2.6 1.6 4.5 1.7 2.7 4.0

18.1 15.0 8.1 7.4 12.1 12.0 13.2 19.2 8.3 9.2 10.5 15.5 12.0 11.9 9.7

8.1 8.3 5.9 2.6 3.6 6.5 8.0 7.6 6.7 6.5 7.7 6.7 4.1 7.1

11.3 28.1 26.9 23.2 17.6 20.5 16.6 16.2 18.8 15.6 18.7 18.2 15.0 15.9 23.4

23.0 28.1 19.7 25.6 23.0 22.6 17.5 20.9 20.2 21.2 20.7 22.1 20.9 20.8

39.2 54.4 76.8 79.5 49.4 55.3 56.5 52.7 57.8 59.7 55.1 56.7 57.8 54.0 71.7

73.5 79.7 74.0 85.0 78.6 75.3 62.5 70.1 69.0 76.4 68.2 76.5 80.8 71.8

69.5 61.7 126.1 129.5 70.4 96.9 92.7 81.8 99.3 94.4 100.8 103.4 97.2 85.2 113.6

127.5 130.3 130.1 161.3 141.5 131.0 112.1 119.0 121.5 130.8 121.6 129.5 134.5 127.1

75.8 91.7 137.0 127.2 83.1 99.2 103.3 99.9 98.3 109.6 96.0 102.4 89.9 86.3 116.8

156.9 165.4 146.5 197.6 163.8 141.9 143.6 129.5 158.4 163.6 128.6 137.7 158.1 143.1

69.8 77.9 129.0 76.3 56.9 79.3 50.9 86.2 42.0 60.7 33.2 78.0 63.4 30.1 99.1

39.0 0.0 113.4 – – 21.4 87.9 121.4 118.0 39.0 117.6 150.8 0.1 76.7

27.5 20.9 8.0 33.3 22.3 18.5 29.3 20.3 25.7 40.9 24.5 22.0 34.1 26.4 27.6

10.7 0.9 1.3 16.0 10.4 2.0 16.4 7.4 8.8 1.2 18.3 13.0 4.3 15.8

(continued)

54.9 64.5 70.3 73.4 54.3 61.3 59.9 65.2 59.4 64.2 54.3 58.9 62.2 58.4 71.7

83.8 90.1 80.7 87.7 82.5 80.9 71.9 70.8 75.8 86.7 71.7 82.8 86.8 78.7

Appendix 1 235

758 845 851 854 890 976 Total

Sodankylä Tervola Tornio Pello Utsjoki Ylitornio

Table 5b (continued)

13.3 5.1 7.5 16.1 – 6.9 11.4

11.5 10.4 8.1 13.0 19.5 12.7 12.6

18.0 21.7 21.5 19.5 14.2 21.3 19.4

46.0 69.5 74.8 58.4 54.7 62.0 55.7

67.7 121.1 134.6 103.1 43.6 108.7 85.6

(m3/ha) 80.7 123.5 132.2 104.8 72.5 101.9 91.2

49.5 31.2 65.3 58.7 72.2 84.2 70.3

24.2 22.3 17.0 21.1 13.7 24.6 24.2

54.1 68.6 71.8 60.0 53.9 62.3 60.0

Open regene- Young Advanced Young Advanced Mature Shelterwood Seed Forest ration site seedling stand seedling stand thinning stand thinning stand stand stand tree stand land total

236 Appendix 1

Åland Municipality 35 Brändö 43 Eckerö 60 Finström 62 Föglö 65 Geta 76 Hammarland 170 Jomala 295 Kumlinge 318 Kökar 417 Lemland 438 Lumparland 478 Mariehamn 736 Saltvik 766 Sottunga 771 Sund 941 Vårdö Total Multi-source inventory Field inventory SE of field inventory

6.5

60.6

57.6 2.7

0.7 7.3 7.4 7.1 5.5 7.1 8.6 4.1 3.9 7.4 7.5 5.0 7.1 3.9 7.2 5.8

Logs

28.5 64.7 63.7 65.9 58.8 64.5 68.6 48.3 28.8 62.5 68.6 54.2 67.6 41.3 65.6 59.4

Total

Pine

51.8

26.0 55.1 54.1 56.3 50.8 55.1 57.9 42.0 23.3 53.0 58.7 47.0 58.1 35.5 56.1 51.2

Pulpwood

23.2 2.5

24.7

0.9 28.5 32.1 22.0 21.9 29.9 35.5 8.2 4.9 32.2 26.6 19.3 27.6 10.2 27.8 20.2

Total

6.1

0.1 7.1 8.2 5.6 5.2 7.4 9.0 1.6 0.4 8.4 6.6 4.3 6.8 2.4 6.7 4.8 16.5

0.8 18.8 21.3 14.7 14.8 20.0 23.6 5.9 4.3 21.3 17.8 13.4 18.5 7.1 18.8 13.7

(m3/ha)

12.3 1.0

12.7

14.9 12.8 14.8 10.4 8.8 14.7 15.5 12.1 17.9 16.4 10.1 11.9 10.0 12.2 12.1 8.6

Logs Pulpwood Total

Spruce

0.3

0.0 0.3 0.5 0.2 0.3 0.4 0.6 0.1 0.0 0.5 0.3 0.4 0.3 0.1 0.4 0.2 10.4

12.8 10.5 12.1 8.3 7.1 12.1 12.7 9.9 13.4 13.4 8.2 9.7 8.1 9.4 9.7 6.9

11.0 1.5

9.2

17.3 6.4 9.1 10.2 4.5 8.6 10.0 13.6 22.3 10.5 7.1 9.1 5.7 13.3 7.6 6.1 0.2

0.1 0.1 0.2 0.2 0.1 0.2 0.2 0.3 0.5 0.3 0.2 0.1 0.1 0.2 0.2 0.1

Logs

6.6

10.2 5.0 7.2 6.7 3.4 6.8 7.9 9.0 13.8 8.3 5.2 6.9 4.3 8.4 5.8 4.3

Pulpwood

(continued)

104.1 5.0

107.2

61.6 112.4 119.7 108.5 94.0 117.6 129.6 82.2 73.8 121.6 112.4 94.6 110.9 77.0 113.1 94.3

Other deciduous tree species All tree species

Logs Pulpwood Total

Birch

Table 6a The mean volume of growing stock by tree species and roundwood assortment on forest and poorly productive forest land (By forestry centres).

Appendix 1 237

Total

Rannikko/Etelärannikko Municipality 40 Dragsfjärd 71.4 49 Espoo-Esbo 47.6 78 Hanko-Hangö 70.0 91 Helsinki32.8 Helsingfors 92 Vantaa-Vanda 32.1 101 Houtskär74.0 Houtskari 149 Ingå-Inkoo 59.0 150 Iniö 78.8 220 Karis-Karjaa 52.3 235 Kauniainen51.6 Grankulla 243 Kimito-Kemiö 71.3 257 Kirkkonummi51.2 Kyrkslätt 279 Korpo-Korppoo 67.9 407 Lapinjärvi37.6 Lappträsk 424 Liljendal 40.0 434 Loviisa-Lovisa 57.8 533 Nagu-Nauvo 69.0 573 Pargas-Parainen 65.8 585 Pernå-Pernaja 46.1

Table 6a (continued)

Pine

46.3 25.2 47.8 18.8

18.1 52.1

33.5 50.4 31.6 29.1

41.7 28.0

48.1 21.6

23.3 34.2 48.7 40.9 28.8

12.6 18.4

23.5 25.4 18.9 20.5

26.8 21.6

16.7 14.4

15.0 21.1 16.7 21.8 15.2

80.6 68.5 23.2 28.4 69.1

21.1 85.4

40.0 59.5

64.8 22.3 59.7 52.9

69.1 22.8

35.1 65.6 25.3 47.6

Pulpwood Total

21.8 20.8 20.3 12.6

Logs

Spruce

34.3 29.1 7.9 11.1 29.1

7.8 36.4

17.5 31.4

31.7 7.5 26.9 27.2

31.3 8.1

13.8 33.6 7.7 22.1

42.1 35.7 14.1 15.8 36.2

12.2 44.5

20.6 25.1

29.9 13.4 29.7 22.8

33.6 13.6

19.7 28.6 16.1 22.3

(m /ha)

3

20.6 20.7 10.2 11.9 21.4

5.5 22.3

10.8 22.3

20.9 4.7 24.6 29.6

34.1 4.4

9.5 26.6 18.2 33.7

Logs Pulpwood Total

Birch

3.7 3.9 1.1 2.0 3.6

0.7 4.2

2.1 6.5

6.3 0.5 6.6 8.7

9.0 0.7

1.6 7.8 2.9 8.9

14.3 15.4 8.0 8.3 15.7

3.9 15.7

7.2 13.7

12.8 3.4 16.1 18.5

20.9 2.8

6.8 16.2 13.4 20.1

4.8 4.7 3.5 5.1 5.5

3.4 4.9

3.9 10.2

6.2 4.7 8.0 13.5

18.0 3.3

4.1 14.5 5.8 18.8

0.8 0.5 0.1 0.5 0.9

0.4 0.7

0.7 2.5

2.3 1.3 2.3 2.2

2.0 0.8

0.5 2.6 1.9 2.5

Logs

3.0 3.4 2.5 3.1 3.8

2.6 3.0

2.3 5.4

3.0 3.3 4.3 8.2

12.1 2.4

2.3 8.8 3.3 11.8

Pulpwood

145.9 151.7 105.9 111.3 142.1

98.0 150.2

126.0 143.2

150.9 110.6 144.6 147.6

153.3 104.5

120.1 154.3 119.3 132.8

Other deciduous tree species All tree species

Logs Pulpwood Total

238 Appendix 1

Multi-source inventory Field inventory SE of field inventory

Pohja-Pojo Porvoo-Borgå RuotsinpyhtääStrömfors Sipoo-Sibbo Siuntio-Sjundeå EkenäsTammisaari Västanfjärd

55.4 2.2

56.2

70.3

44.8 47.7 65.7

63.4 46.3 46.6

Rannikko/Pohjanmaa Municipality 231 Kaskinen-Kaskö 272 Kokkola-Karleby 280 Korsnäs 287 KristinestadKristiinankaupunki 288 Kronoby-Kruunupyy 440 Larsmo-Luoto 475 Malax-Maalahti 499 Korsholm-Mustasaari 545 Närpes-Närpiö

923 Total

753 755 835

606 638 701

6.3 9.4 8.4 11.5

11.7 8.8 7.7 7.5 11.0

26.5 42.8 30.0 38.9

51.2 39.5 30.3 25.3 36.5

18.9

25.0

16.1 22.6 20.1

20.6 14.4 15.4

35.8 27.8 20.1 16.3 23.3

18.6 30.5 19.3 24.8

35.0

42.5

27.1 23.6 43.3

40.3 30.2 29.2

27.4 28.1 37.5 52.6 51.5

53.2 32.2 44.6 54.5

54.2 2.9

53.8

37.8

78.9 83.3 38.8

42.9 74.0 64.4

9.0 8.8 12.8 19.4 16.5

16.5 9.8 13.6 16.8

23.5

16.3

35.2 44.8 15.5

17.0 30.8 24.8

16.9 17.6 22.1 30.7 32.1

33.8 20.4 27.8 34.5

27.4

19.7

39.1 34.5 21.3

23.3 38.9 35.7

16.1 17.0 22.8 18.8 18.4

17.5 20.5 25.2 17.5

20.5 1.2

18.2

10.6

26.9 21.9 13.6

14.1 21.6 24.8

0.7 0.8 1.6 1.2 1.2

1.1 1.0 1.9 1.4

4.0

2.2

6.4 5.9 2.6

2.9 4.2 4.4

12.4 12.9 16.8 13.9 13.8

13.0 16.0 18.8 13.4

12.2

6.9

17.2 13.9 9.2

9.3 14.8 18.6

1.6 3.1 3.6 5.3 2.9

6.5 3.0 2.6 3.3

9.3 0.8

6.8

3.1

10.7 10.7 4.7

4.5 7.8 5.7

0.1 0.2 0.5 0.3 0.3

0.0 0.2 0.2 0.5

1.3

0.5

1.2 3.3 1.1

1.0 1.0 0.7

1.1 2.0 2.5 4.2 1.9

4.3 2.0 1.7 2.2

4.3

1.9

7.9 5.2 3.0

2.9 5.8 4.0

(continued)

96.3 87.7 94.2 102.1 109.2

103.7 98.6 102.4 114.2

139.5 3.3

135.1

121.7

161.3 163.6 122.8

124.8 149.7 141.5

Appendix 1 239

Multi-source inventory Field inventory SE of field inventory

Oravais-Oravainen Jakobstad-Pietarsaari Pedersöre-Pedersören kunta NykarlebyUusikaarlepyy Vaasa-Vasa Vörå-Maxmo-VöyriMaksamaa

Lounais-Suomi Municipality 6 Alastaro 17 Askainen 19 Aura 50 Eura 51 Eurajoki 73 Halikko 79 Harjavalta 99 Honkajoki 102 Huittinen 181 Jämijärvi

Total

905 945

893

559 598 599

Table 6a (continued)

56.6 83.0 65.1 62.9 64.0 71.7 57.8 61.1 46.9 56.3

36.6 1.5

37.6

22.1 34.1 30.7 24.4 26.0 30.8 18.9 17.7 16.4 19.6

9.6

9.1 8.0

8.5

39.4

28.4 32.7

8.1 6.9 10.8

32.5 46.2 32.0 35.9 35.4 38.4 36.2 39.9 28.5 33.4

25.4

17.9 22.7

27.9

25.0 27.7 31.9

64.6 33.9 60.6 55.3 57.9 53.3 53.1 11.8 75.1 40.7

43.0 1.9

40.3

61.1 48.1

26.5

33.7 26.4 26.8

Logs Pulpwood Total

35.3 37.0 46.0

Total

Pine

30.7 12.4 28.0 24.3 24.5 23.8 22.3 4.2 34.6 19.0

30.3 19.3 29.4 27.5 29.9 27.2 27.3 6.7 36.0 19.3

13.1 24.8

21.2 37.0 16.8 28.1

7.1 17.0

10.3 21.0 6.6 17.4 7.9 17.1

18.7 9.9 13.8 17.6 17.4 13.7 19.9 13.2 23.5 16.5

18.1 0.9

19.0

20.9 21.3

18.2

20.6 23.7 17.1

2.3 1.6 2.2 2.0 1.7 2.9 2.1 0.7 3.0 1.9

1.3

1.8 1.9

1.1

1.5 1.3 0.9

(m3/ha)

13.2 6.9 9.0 12.2 12.3 8.7 14.1 10.0 16.5 12.1

14.3

16.0 15.4

13.9

15.4 18.6 13.3

4.0 7.2 6.3 4.0 5.0 6.8 3.2 2.0 3.5 3.6

4.0 0.5

3.2

5.9 5.3

1.8

3.0 3.4 1.9

0.4 0.9 1.0 0.6 0.7 1.0 0.4 0.2 0.4 0.3

0.3

0.3 0.4

0.1

0.3 0.3 0.2

Logs

2.7 5.2 4.5 2.7 3.5 4.7 2.2 1.4 2.2 2.6

2.3

4.7 4.0

1.3

2.1 2.4 1.4

Pulpwood

144.0 134.0 145.7 139.7 144.3 145.5 134.0 88.1 148.9 117.1

101.7 2.7

100.0

116.4 107.5

85.9

92.5 90.5 91.9

Other deciduous tree species All tree species

Pulpwood Total

Birch

Logs Pulpwood Total Logs

Spruce

240 Appendix 1

202 214 230 252 254 259 262 271 284 304 308 319 400 406 413 419 423 430 442 480 481 482 484 485 501 503 529 531

Kaarina Kankaanpää Karvia Kiikala Kiikoinen Kisko Kiukainen Kokemäki Koski Tl Kustavi Kuusjoki Köyliö Laitila Lappi Lavia Lemu Lieto Loimaa Luvia Marttila Masku Mellilä Merikarvia Merimasku Muurla Mynämäki Naantali Nakkila

68.1 56.0 59.0 63.9 50.5 65.9 57.4 59.3 49.5 78.1 60.4 62.2 69.4 68.1 52.9 67.5 71.8 49.9 59.6 58.0 65.1 49.7 55.5 87.6 71.0 61.1 81.6 50.4

26.2 17.3 16.4 29.6 17.7 30.5 22.6 21.2 20.8 29.3 27.9 24.0 27.8 26.9 19.3 27.2 32.9 20.9 23.6 25.0 25.9 18.1 17.2 35.4 33.2 23.5 32.3 18.3

39.3 35.4 39.4 32.2 30.0 33.2 32.5 35.3 27.0 46.1 30.5 35.6 38.9 38.3 30.7 37.6 36.5 27.2 32.8 30.9 36.4 29.4 34.2 49.2 35.5 34.9 46.4 29.7

36.8 33.5 13.8 65.2 61.7 60.9 63.1 57.1 88.4 24.1 79.1 51.9 50.9 50.2 53.1 36.9 55.2 87.9 78.8 66.7 44.0 71.8 46.3 30.4 57.1 48.5 31.9 70.0

15.5 15.7 5.0 31.7 29.3 28.7 26.1 25.0 45.3 7.6 38.2 23.7 21.8 22.0 23.5 15.2 25.9 45.4 34.0 31.7 18.7 36.2 18.8 10.7 26.6 21.6 12.0 30.2

19.6 15.8 7.8 30.4 28.8 29.1 32.9 28.5 38.7 14.6 37.2 25.1 26.0 25.2 26.2 19.7 26.6 38.4 39.6 31.5 22.9 31.7 24.3 17.5 27.7 23.9 18.0 35.1

10.4 15.2 12.8 15.1 18.0 15.2 19.9 18.0 19.5 9.0 16.8 16.9 14.5 14.0 18.8 10.2 11.6 18.7 24.9 16.9 11.7 18.8 17.5 9.6 14.5 15.5 8.7 24.0

1.8 1.5 0.7 2.5 2.4 2.7 2.2 2.2 2.4 1.8 2.5 2.1 1.4 1.5 2.4 1.1 1.7 2.2 2.0 2.4 1.3 2.1 1.9 1.8 2.5 1.8 1.4 2.4

7.0 11.2 9.5 10.0 13.1 9.9 14.1 12.6 13.7 6.1 11.4 11.9 10.0 9.7 13.8 7.3 7.7 13.2 18.5 11.5 8.2 13.2 12.6 6.6 9.3 10.8 6.0 17.5

7.2 2.6 2.0 5.3 3.3 6.0 4.7 3.0 4.1 8.9 5.8 3.3 3.9 3.7 3.5 4.9 5.3 4.1 3.6 5.2 5.5 3.5 3.5 8.2 5.9 4.1 6.3 3.7

0.9 0.2 0.3 0.8 0.3 1.1 0.7 0.4 0.4 1.7 0.9 0.5 0.5 0.5 0.3 0.6 0.8 0.4 0.6 0.7 0.7 0.3 0.3 1.4 1.0 0.5 0.8 0.5

4.8 1.8 1.4 3.6 2.3 4.1 3.2 2.0 2.7 6.1 4.0 2.3 2.7 2.5 2.5 3.3 3.8 2.6 2.5 3.7 3.8 2.3 2.5 5.9 4.1 2.9 4.5 2.5 (continued)

122.5 107.3 87.5 149.5 133.4 148.0 145.0 137.4 161.4 120.1 161.9 134.3 138.7 136.0 128.2 119.4 143.9 160.6 166.9 146.8 126.3 143.9 122.8 135.8 148.5 129.1 128.5 148.0

Appendix 1 241

537 538 561 577 586 587 602 608 609 631 636 680 684 704 705 734 738 747 761 776 783 784 833 838 853

Noormarkku Nousiainen Oripää Paimio Perniö Pertteli Piikkiö Pomarkku Pori Pyhäranta Pöytyä Raisio Rauma Rusko Rymättylä Salo Sauvo Siikainen Somero Suomusjärvi Säkylä Särkisalo-Finby Taivassalo Tarvasjoki Turku-Åbo

Table 6a (continued)

49.7 67.8 67.9 74.3 73.8 66.9 72.5 54.8 49.4 74.6 61.6 68.7 71.4 65.8 79.9 67.5 69.6 55.9 52.4 59.9 66.7 71.2 81.9 63.8 66.6

Total

19.5 28.5 27.8 31.6 34.1 31.5 30.0 21.9 18.6 31.5 27.5 27.8 28.8 27.0 29.1 30.3 27.7 17.5 22.0 26.8 26.7 31.1 31.7 29.7 26.3

27.7 36.9 37.5 40.2 37.3 33.3 40.0 30.4 28.0 40.7 31.7 38.3 39.7 36.1 47.8 34.7 39.2 34.9 28.5 31.1 37.5 37.7 47.3 32.0 37.7

66.2 58.8 48.4 45.2 56.9 61.9 44.1 74.0 66.8 53.2 61.3 38.3 48.2 47.3 24.1 54.6 39.5 41.5 80.1 64.4 49.8 56.0 26.1 64.0 37.1

Pulpwood Total

Pine

Logs

Spruce

30.5 31.9 20.0 28.3 27.5 13.5 22.3 23.3 15.7 20.0 23.3 11.2 26.7 27.6 13.8 29.0 29.9 14.4 19.6 22.7 10.2 35.4 34.7 18.3 28.7 33.7 22.0 22.0 28.0 14.7 28.4 29.6 15.8 16.6 19.7 10.1 19.8 25.3 14.0 20.6 24.1 11.5 8.6 13.9 6.7 24.8 27.2 14.6 16.7 20.8 10.7 17.9 20.9 17.3 39.9 36.3 20.3 32.5 29.0 14.8 23.2 23.8 14.8 25.2 28.2 12.8 9.0 15.2 8.5 29.1 31.6 14.5 15.7 19.4 11.0

2.5 1.8 2.1 2.0 2.6 2.4 1.9 2.3 2.1 1.7 2.4 1.5 1.4 1.3 1.2 2.4 1.7 1.9 2.9 2.5 1.9 2.8 1.5 2.4 1.6

(m /ha)

3

14.6 9.3 10.7 7.4 8.8 9.3 6.8 13.4 16.0 10.0 10.7 7.0 9.8 8.1 4.6 9.4 7.3 12.5 14.1 9.8 10.4 8.1 5.8 9.4 7.5

3.0 3.3 4.1 5.1 5.3 6.0 5.6 2.9 3.8 4.8 5.5 7.1 5.0 6.0 6.4 6.3 5.4 3.6 5.6 5.8 3.4 7.2 6.8 6.9 7.1

0.4 0.5 0.6 0.6 0.9 1.1 0.6 0.3 0.5 0.7 0.9 1.0 0.6 0.9 1.0 1.1 0.7 0.2 0.8 0.9 0.5 1.1 1.0 1.2 1.0

Logs 2.1 2.2 2.9 3.5 3.7 4.1 3.8 2.0 2.7 3.3 3.9 4.7 3.5 4.2 4.5 4.4 3.6 2.5 3.7 3.9 2.4 4.8 4.9 4.9 4.8

Pulpwood 138.8 143.4 136.0 135.8 149.9 149.2 132.4 150.0 141.9 147.3 144.1 124.2 138.5 130.6 117.0 143.0 125.1 118.2 158.4 144.8 134.8 147.3 123.3 149.3 121.9

Other deciduous tree species All tree species

Pulpwood Total

Birch

Logs Pulpwood Total Logs

242 Appendix 1

18.7 22.4 21.8 18.8 20.3 18.4 19.8 17.6 18.1 16.6 17.4 17.9 27.8 17.6

61.3 61.9 1.2

Multi-source inventory Field inventory SE of field inventory

39.1 41.6 41.4 41.6 40.9 43.7 39.2 41.0 35.0 38.2 43.2 40.0 55.5 38.8

51.5 69.6 65.6 49.7 71.5 78.5 62.5

Ulvila Uusikaupunki Vahto Vampula Vehmaa Velkua Yläne

Häme-Uusimaa Municipality 15 Artjärvi 16 Asikkala 18 Askola 61 Forssa 81 Hartola 82 Hattula 83 Hauho 86 Hausjärvi 98 Hollola 103 Humppila 106 Hyvinkää 109 Hämeenlinna 111 Heinola 165 Janakkala

886 895 906 913 918 920 979 Total

18.6 17.7 18.4 21.5 19.5 23.6 18.5 21.8 15.4 20.5 23.7 20.7 25.4 19.9

23.7

18.9 27.5 27.4 19.5 28.4 27.6 24.3 34.9

29.9 39.3 35.8 28.4 40.2 48.1 35.5

80.1 81.7 93.9 90.8 75.5 70.6 108.4 90.9 89.8 101.4 84.3 80.5 55.5 94.5

38.5 42.8 44.3 47.4 35.6 33.8 59.0 49.4 47.7 50.6 45.4 40.7 25.4 51.1

52.3 53.9 1.7

58.5 33.9 58.6 79.0 32.9 18.0 51.1

37.0 35.2 44.9 38.9 36.5 32.7 45.0 37.7 37.9 47.0 35.3 35.7 27.5 39.3

23.5

25.1 13.1 27.8 36.4 12.8 5.3 23.5

20.8 11.3 15.2 23.7 10.6 6.5 16.3

16.5 23.3 21.9 19.2 29.1 26.3 19.1 18.2 15.5 22.3 19.6 25.3 23.2 21.1

25.8 16.1 16.4 0.5

29.6 18.7 27.6 38.4 18.3 11.7 24.7

3.9 5.8 6.0 3.2 6.5 5.6 3.7 3.9 2.9 3.0 4.2 5.2 5.6 4.0

2.0

2.5 1.2 2.1 3.2 1.2 1.4 2.1

10.5 14.9 13.5 13.3 19.8 17.7 13.4 12.0 10.3 16.8 12.8 17.2 14.8 14.6

11.3

15.1 8.0 10.6 16.7 7.5 4.4 11.4

6.3 9.3 6.3 2.4 9.4 2.9 8.6 6.1 8.1 2.3 6.4 6.2 7.1 5.8

4.3 4.5 0.4

3.1 5.2 3.7 4.2 5.4 8.3 3.5

0.5 1.2 0.9 0.4 1.1 0.6 1.1 1.1 1.1 0.3 1.0 0.9 0.7 1.0

0.6

0.3 0.6 0.5 0.5 0.5 1.6 0.5

4.2 6.0 3.8 1.6 5.5 1.9 6.5 3.4 5.1 1.7 3.8 4.3 4.3 3.8

3.0

2.2 3.6 2.6 2.8 3.6 5.8 2.4

(continued)

142.1 155.8 163.6 153.9 154.9 143.5 175.4 156.2 148.3 164.2 153.5 151.9 141.2 160.1

134.0 136.6 2.0

133.8 120.0 143.1 156.6 120.4 111.4 133.3

Appendix 1 243

505 532 540 543 560 576 611 616 692 694 737

169 186 210 223 224 245 283 316 398 401 433 444 504

Jokioinen Järvenpää Kalvola Karjalohja Karkkila Kerava Hämeenkoski Kärkölä Lahti Lammi Loppi Lohja-Lojo MyrskyläMörskom Mäntsälä Nastola Nummi-Pusula Nurmijärvi Orimattila Padasjoki Pornainen Pukkila Renko Riihimäki Sammatti

Table 6a (continued)

36.5 45.8 47.5 36.8 36.9 44.9 36.8 32.9 49.1 36.9 50.2

46.9 25.5 41.1 51.6 44.2 30.4 29.2 32.7 34.9 33.8 43.0 47.9 42.3

Total

15.9 24.3 20.1 14.8 18.4 24.5 18.6 15.8 22.4 15.5 21.0

21.7 10.9 16.3 21.0 19.4 14.3 13.8 14.0 18.6 16.0 18.4 22.1 20.6

19.0 20.0 25.6 20.0 17.0 18.9 16.8 15.7 24.9 19.8 27.2

23.9 13.3 23.0 28.5 23.0 14.4 14.1 17.1 15.0 16.5 22.9 24.2 20.1 108.2 59.3 73.3 85.6 78.6 90.4 85.9 86.9 85.3 92.9 60.3

97.5 79.4 79.1 61.9 90.1 82.1 101.2 99.0 68.2 94.6 88.6 76.8 84.1

Pulpwood Total

Pine

Logs

58.8 29.3 37.1 44.5 41.0 50.7 39.4 44.3 46.8 51.5 30.8

50.4 40.2 37.9 32.4 48.8 36.8 53.0 53.2 34.6 50.1 47.9 42.1 38.8 45.1 27.1 32.6 37.2 33.6 35.4 42.2 38.4 34.7 37.5 26.9

42.5 35.5 36.9 27.0 37.2 40.8 43.5 41.7 29.9 39.8 36.7 31.3 40.6 18.2 17.0 20.1 21.7 14.9 21.3 22.7 20.0 21.2 20.6 18.7

18.8 21.3 24.4 17.9 21.2 25.2 17.3 18.8 15.8 16.9 21.1 20.9 21.3

Pulpwood Total

Spruce Logs

4.3 3.8 3.8 4.7 3.2 4.4 5.1 4.3 5.1 4.4 3.2

3.0 3.8 4.4 3.0 4.6 5.1 2.8 3.9 3.0 2.6 4.5 4.0 5.3

(m /ha)

3

11.6 10.4 13.8 14.3 9.3 14.8 14.5 13.0 13.6 13.6 12.6

13.2 13.6 17.1 11.8 14.4 16.0 12.3 12.4 9.7 12.3 14.1 14.2 13.5 5.7 10.3 4.4 11.0 6.7 6.2 8.0 7.2 2.7 8.0 3.6

2.9 11.5 1.7 3.2 6.0 12.2 6.3 6.3 14.1 5.7 4.6 8.2 5.4 0.8 1.3 0.7 1.5 0.8 0.9 1.3 1.0 0.5 1.5 0.6

0.4 1.4 0.2 0.5 0.8 1.0 1.0 0.8 1.6 0.8 0.7 1.2 0.8

Logs

3.3 6.4 3.0 6.9 4.1 4.1 4.5 4.0 1.7 4.8 2.2

2.1 5.7 1.1 2.0 4.1 7.4 4.1 3.8 8.9 3.8 3.2 4.9 3.2

Pulpwood

168.6 132.4 145.3 155.0 137.1 162.7 153.4 147.0 158.1 158.4 132.8

166.1 137.8 146.3 134.5 161.5 149.8 154.0 156.8 132.9 150.9 157.2 153.7 153.1

Other deciduous tree species All tree species

Pulpwood Total

Birch Logs

244 Appendix 1

16.5 19.5 15.7 25.4 31.2 28.0 20.4 13.0 15.1 22.0 28.6 20.7 17.7 23.5 19.2 27.0

19.9

Multi-source 42.3 inventory Field inventory 40.6 SE of field 1.3 inventory

40.6 59.4 43.6 54.6 73.7 58.1 53.9 44.0 47.4 57.3 63.8 62.4 59.5 53.9 49.1 57.9

24.2 20.0 15.6 13.8 19.5 22.3

46.5 48.5 32.7 33.1 45.6 46.8

Sysmä Tammela Tuulos Tuusula Vihti Ypäjä

Kaakkois-Suomi Municipality 44 Elimäki 75 Hamina 142 Iitti 153 Imatra 163 Jaala 173 Joutseno 285 Kotka 286 Kouvola 306 Kuusankoski 405 Lappeenranta 416 Lemi 441 Luumäki 489 Miehikkälä 580 Parikkala 624 Pyhtää-Pyttis 689 Rautjärvi

781 834 855 858 927 981 Total

22.4 37.0 25.7 27.2 39.1 28.1 30.8 28.8 29.8 32.4 32.6 38.4 38.2 28.0 27.4 28.9

20.8

20.8 26.7 16.0 17.6 24.2 23.3

83.4 58.4 68.0 63.2 45.7 62.5 53.3 50.0 61.0 67.1 62.5 60.0 56.5 41.0 59.1 55.2

82.8 2.0

83.3

74.2 77.1 95.4 91.8 83.4 99.5

39.7 25.3 31.5 28.5 19.1 29.2 23.5 20.8 26.6 33.5 31.5 27.4 24.3 16.3 26.4 25.8

43.1

35.3 39.4 51.1 46.4 43.9 49.4

39.6 30.1 33.0 31.9 23.9 30.4 26.8 26.2 31.1 30.6 28.2 29.6 29.2 22.3 29.4 26.6

36.3

35.3 33.6 40.0 41.4 35.4 45.5

17.8 12.8 18.6 23.6 23.1 24.7 19.1 18.2 19.8 16.8 21.9 14.7 11.0 19.6 22.4 22.8

21.7 0.7

21.2

29.6 20.3 16.6 22.4 23.0 20.5

3.4 2.2 3.3 5.2 4.0 5.6 3.4 2.9 3.2 3.3 4.8 2.7 1.7 3.4 4.6 4.7

4.5

7.0 3.5 2.8 4.6 5.2 3.3

12.0 8.8 12.5 15.6 16.3 16.3 13.4 12.2 13.5 11.5 14.6 10.2 7.8 13.2 15.2 15.3

14.2

19.9 14.3 11.8 14.5 15.4 14.4

5.5 3.3 5.9 7.9 6.0 8.8 5.5 5.9 6.0 4.9 6.8 3.2 2.4 8.0 6.2 7.9

8.3 0.5

6.7

10.5 2.4 5.5 10.7 11.2 3.3

0.7 0.4 0.7 1.1 0.5 1.3 0.5 0.6 0.6 0.7 0.9 0.4 0.3 0.4 0.6 0.8

0.9

1.3 0.2 0.8 1.4 1.6 0.4

3.7 2.2 3.8 4.2 4.2 4.9 3.7 3.7 3.9 3.0 4.2 2.2 1.6 4.6 4.1 4.5

4.3

6.8 1.8 3.8 6.5 7.6 2.3

(continued)

147.3 134.0 136.0 149.2 148.5 154.1 131.7 118.1 134.2 146.1 154.9 140.4 129.5 122.6 136.8 143.9

153.3 2.2

153.5

160.8 148.3 150.2 158.0 163.1 170.0

Appendix 1 245

Pine

35.9 37.9 50.5 42.9 40.1 63.0 38.5 58.3 44.6

13.8 15.2 18.6 18.0 16.9 17.8 16.3 20.6 18.0

23.8

Multi-source 61.9 inventory Field inventory 61.6 SE of field 1.6 inventory

20.4 20.9 29.3 23.0 21.4 41.7 20.7 34.9 24.8

35.0

38.5 42.6 34.5 40.7 38.0 39.7 37.2 37.3

Logs Pulpwood

29.9 31.5 17.9 36.9 36.2 24.2 18.7 17.3

Total

71.8 77.8 55.3 81.3 77.3 67.4 59.5 58.3

Ruokolahti Savitaipale Anjalankoski Suomenniemi Taipalsaari Valkeala Virolahti Ylämaa

Pirkanmaa Municipality 20 Akaa 108 Hämeenkyrö 143 Ikaalinen 177 Juupajoki 211 Kangasala 250 Kihniö 289 Kuhmalahti 303 Kuru 310 Kylmäkoski

700 739 754 775 831 909 935 978 Total

Table 6a (continued)

67.0 74.2 53.9 76.4 72.7 22.5 82.9 52.5 77.0

56.2 2.0

54.3

45.0 45.5 59.9 31.3 40.7 51.4 47.8 57.8

Total

29.4 33.2 24.9 37.0 32.9 8.7 38.4 23.6 36.5

24.4

20.5 20.9 25.5 13.3 18.2 22.3 20.1 25.2

33.4 36.6 25.8 35.4 35.4 12.1 39.8 25.8 36.1

27.1

22.1 22.3 31.2 16.2 20.3 26.3 25.0 29.4

23.6 23.6 17.7 20.2 23.3 17.8 24.9 17.2 20.6

17.6 0.7

17.9

19.7 21.4 14.4 19.8 24.0 16.4 10.0 12.6

Pulpwood Total

Spruce Logs

3.1 2.7 1.9 2.7 3.2 1.3 3.7 1.8 2.9

3.5

4.4 4.9 2.5 4.8 5.5 2.9 1.5 1.9

(m /ha)

3

17.2 17.6 13.0 14.8 16.8 13.4 17.9 12.7 14.9

12.1

13.0 14.1 9.8 12.9 15.8 11.2 6.8 9.0

4.3 4.5 2.4 3.0 5.0 2.1 5.5 1.9 3.0

5.9 0.4

4.8

4.3 4.0 3.6 3.7 6.5 4.0 2.2 2.6

0.5 0.7 0.3 0.4 0.6 0.2 0.6 0.2 0.4

0.5

0.4 0.3 0.5 0.2 0.9 0.4 0.2 0.3

Logs

3.0 2.9 1.6 2.0 3.5 1.5 3.9 1.3 2.1

3.0

2.4 2.7 2.3 2.3 3.7 2.7 1.4 1.7

Pulpwood

130.8 140.2 124.4 142.5 141.1 105.4 151.9 129.8 145.2

141.4 2.3

138.8

140.8 148.7 133.2 136.1 148.4 139.2 119.5 131.3

Other deciduous tree species All tree species

Pulpwood Total

Birch Logs

246 Appendix 1

25.6 14.5

18.1

Multi-source 47.6 inventory Field inventory 47.8 SE of field 1.2 inventory

54.2 46.2

15.0 15.7 19.5 16.4 16.7 18.9 15.2 20.0 17.7 21.7 16.4 18.5 15.3 16.9 18.1 22.0 18.8 16.4 17.0

34.3 41.6 45.0 38.9 41.0 60.2 34.0 49.4 39.8 51.5 39.4 44.6 35.9 44.8 40.3 49.9 58.0 40.3 48.2

Lempäälä Mouhijärvi Mänttä Nokia Orivesi Parkano Pirkkala Punkalaidun Pälkäne Ruovesi Tampere Urjala Valkeakoski Vammala Vesilahti Vilppula Virrat Ylöjärvi Äetsä

Etelä-Savo Municipality 46 Enonkoski 90 Heinävesi

418 493 506 536 562 581 604 619 635 702 837 887 908 912 922 933 936 980 988 Total

26.5 29.6

27.2

17.8 23.7 23.7 20.6 22.4 38.0 17.3 27.6 20.7 27.6 21.2 24.2 19.1 25.7 20.6 25.9 35.9 22.0 28.7

56.2 58.3

63.6 1.7

65.1

88.1 68.6 77.4 75.6 77.7 25.7 81.5 89.1 91.7 75.5 83.0 79.4 80.7 67.1 92.1 74.8 38.3 75.5 58.1

24.3 28.0

30.2

40.2 30.1 36.9 33.5 36.6 10.8 36.5 45.5 43.1 36.5 39.2 38.4 36.3 30.4 46.1 36.4 16.8 35.6 25.6

28.3 26.9

31.2

42.9 34.3 36.2 37.5 36.8 13.1 40.3 39.1 43.6 35.2 39.3 36.7 39.5 32.5 41.3 34.5 19.1 35.7 28.6

19.2 15.5

19.8 0.7

19.4

23.7 19.2 25.9 20.3 19.4 14.6 23.6 18.6 25.2 18.0 21.8 20.4 24.9 18.8 18.5 20.9 15.7 21.6 16.9

3.9 2.8

2.3

3.0 2.3 3.2 2.5 2.7 1.2 2.8 2.1 4.2 2.3 2.8 2.8 3.4 2.2 2.5 2.8 1.4 2.5 2.0

12.8 10.3

14.2

17.5 14.1 18.9 14.8 13.9 10.8 17.5 13.1 17.7 13.1 16.2 14.7 18.0 13.8 13.5 15.1 11.5 16.0 12.2

6.5 5.0

4.7 0.4

3.3

5.0 3.4 3.9 4.0 3.7 1.8 5.2 3.2 7.3 2.7 4.4 3.2 5.5 3.0 3.3 3.2 2.3 4.1 2.6

0.5 0.5

0.4

0.8 0.6 0.4 0.7 0.4 0.2 0.9 0.3 1.2 0.3 0.7 0.4 0.6 0.5 0.5 0.4 0.2 0.6 0.4 2.3

3.4 2.2 2.8 2.6 2.5 1.3 3.5 2.0 4.9 1.9 3.0 2.2 3.9 2.0 2.2 2.2 1.7 2.7 1.7

3.7 2.7

(continued)

136.0 125.1

135.9 2.1

135.5

151.0 132.8 152.2 138.7 141.9 102.3 144.3 160.3 164.0 147.7 148.6 147.5 147.0 133.7 154.2 148.8 114.3 141.5 125.7

Appendix 1 247

10.7 17.8

25.9

Multi-source 59.3 inventory Field inventory 59.8 SE of field 1.4 inventory

47.3 59.2

29.9 19.3 25.0 26.1 25.6 27.4 31.0 21.3 19.7 36.0 37.9 21.5 32.5 29.2 21.5 29.1

Total Logs

32.9 37.1

30.9

31.0 25.0 29.2 27.6 33.0 27.4 35.7 21.3 29.2 35.6 43.9 26.6 33.6 35.9 26.0 35.7

17.0 12.9

48.4 1.4

46.9

40.4 63.0 55.3 52.0 43.1 48.9 33.2 51.4 51.3 43.5 21.2 53.1 39.2 38.0 55.2 40.1

Pulpwood Total

Pine

63.0 46.6 56.7 56.0 61.3 56.9 69.6 44.0 51.6 74.6 85.7 50.2 68.7 67.8 49.4 67.6

Hirvensalmi Joroinen Juva Kangasniemi Kerimäki Mikkeli Mäntyharju Pertunmaa Pieksämäki Punkaharju Puumala Rantasalmi Ristiina Savonlinna Savonranta Sulkava

Etelä-Pohjanmaa Municipality 4 Alahärmä 5 Alajärvi

97 171 178 213 246 491 507 588 593 618 623 681 696 740 741 768 Total

Table 6a (continued)

5.0 5.3

21.8

16.9 33.5 27.8 26.2 16.9 23.2 13.3 24.2 26.2 19.1 8.0 24.8 16.3 14.9 23.4 17.8

Logs

10.7 6.8

22.5

21.2 26.5 24.9 23.3 23.6 23.3 17.8 24.7 22.2 22.3 11.9 25.5 20.7 21.0 28.1 20.2

Pulpwood

Spruce

12.3 13.0

21.6 0.7

20.4

27.2 18.4 19.8 19.8 21.0 22.7 19.8 28.8 18.6 20.1 21.8 18.8 23.2 21.6 19.3 18.8

Total

0.7 0.6

4.1

6.2 3.7 4.1 4.3 3.6 5.2 3.8 6.3 3.2 3.8 4.3 3.5 4.9 3.7 4.4 3.6

(m3/ha)

Logs

9.2 9.6

13.6

17.9 12.0 13.0 12.8 14.3 14.9 13.4 19.4 12.5 13.3 15.0 12.6 15.6 14.8 12.5 12.7

Pulpwood

Birch

1.6 1.2

6.3 0.4

5.5

8.9 5.6 5.2 5.2 5.6 6.5 4.4 7.0 4.3 5.2 3.3 7.4 5.7 6.1 6.2 4.9

Total

0.1 0.1

0.4

1.0 0.4 0.4 0.4 0.2 0.6 0.3 0.6 0.3 0.1 0.1 0.5 0.4 0.1 0.4 0.1

Logs

1.3 0.9

3.2

5.5 3.5 3.1 3.2 3.4 3.9 2.4 4.2 2.6 2.9 1.7 4.0 3.3 3.6 3.5 2.7

Pulpwood

Other deciduous tree species

78.2 86.3

136.1 1.8

132.1

139.5 133.7 137.1 133.0 131.0 135.0 126.9 131.2 125.8 143.4 132.0 129.5 136.8 133.5 130.1 131.5

All tree species

248 Appendix 1

10 52 74 95 145 151 152 164 175 217 218 232 233 236 281 300 301 315 399 403 408 414 421 429 544 584 743 759 846

Alavus Evijärvi Halsua Himanka Ilmajoki Isojoki Isokyrö Jalasjärvi Jurva Kannus Karijoki Kauhajoki Kauhava Kaustinen Kortesjärvi Kuortane Kurikka Kälviä Laihia Lappajärvi Lapua Lehtimäki Lestijärvi Lohtaja Nurmo Perho Seinäjoki Soini Teuva

63.7 51.5 45.8 53.7 46.5 46.7 36.8 57.3 42.6 50.0 46.4 47.0 55.2 48.5 51.4 64.5 50.5 47.1 39.1 55.3 53.5 59.3 49.1 47.7 50.3 47.2 53.6 60.8 43.3

20.7 12.9 8.6 11.2 14.8 13.2 8.4 16.2 14.2 10.8 14.5 11.2 15.3 10.8 12.2 23.5 17.5 10.2 11.2 14.3 16.2 20.4 11.6 10.1 15.3 8.4 14.3 18.5 14.4

38.8 34.7 32.6 38.2 28.6 30.0 24.7 37.2 25.8 35.0 29.0 32.1 36.0 33.0 35.1 37.0 30.1 32.7 24.9 37.0 33.4 35.3 32.9 33.5 31.4 33.9 35.1 38.1 26.3

16.0 21.1 4.8 22.2 41.9 32.9 35.0 22.0 42.4 15.5 36.4 17.1 19.8 10.8 18.9 22.0 31.5 15.8 41.1 18.2 24.8 14.1 11.0 16.1 21.7 4.9 16.4 17.4 37.1

6.7 8.1 1.5 7.4 18.6 13.3 13.3 9.5 16.8 5.3 13.0 6.5 7.7 4.0 6.8 9.5 13.3 5.6 16.6 7.0 10.3 5.9 4.5 5.4 9.1 1.7 6.8 7.4 14.5

8.3 12.0 2.7 13.3 21.2 17.8 19.2 11.3 23.4 9.0 21.4 9.5 11.0 6.1 10.9 11.4 16.5 9.2 22.0 10.1 13.2 7.4 5.7 9.6 11.4 2.7 8.5 8.9 20.7

12.4 13.1 13.1 19.5 12.5 14.4 15.9 12.8 15.1 21.1 13.1 9.4 13.3 14.5 12.6 11.2 11.4 16.5 18.3 15.9 14.3 11.2 13.2 15.6 12.5 8.4 14.7 12.1 12.7

0.6 0.7 0.4 0.5 1.0 0.8 1.2 0.5 0.9 0.5 0.7 0.4 0.8 0.4 0.6 0.7 0.5 0.5 1.2 0.7 0.9 0.5 0.5 0.4 0.5 0.2 0.7 0.5 0.6

9.1 9.9 9.5 15.2 8.8 11.2 11.3 9.4 11.5 16.4 9.8 7.2 9.9 10.9 9.5 8.1 8.4 12.5 13.3 12.1 10.4 8.2 9.6 11.9 9.0 5.7 10.8 8.9 9.6

1.1 1.4 1.9 1.9 2.4 2.2 3.0 1.5 2.2 1.6 1.7 1.0 1.3 1.0 1.3 0.8 1.6 1.3 3.2 1.4 2.0 1.0 2.0 1.3 1.5 1.9 1.7 1.3 1.6

0.1 0.1 0.0 0.1 0.7 0.3 0.3 0.1 0.3 0.1 0.2 0.1 0.1 0.0 0.1 0.1 0.2 0.0 0.3 0.1 0.1 0.1 0.0 0.0 0.1 0.1 0.2 0.1 0.2

0.8 1.1 1.3 1.4 1.5 1.6 2.1 1.1 1.6 1.1 1.2 0.8 1.0 0.7 1.0 0.6 1.1 1.0 2.4 1.0 1.4 0.7 1.3 1.0 1.1 1.2 1.2 0.9 1.1 (continued)

93.2 87.2 65.6 97.3 103.4 96.2 90.7 93.6 102.4 88.1 97.6 74.5 89.6 74.8 84.2 98.5 95.0 80.8 101.7 90.7 94.6 85.6 75.3 80.7 86.0 62.3 86.3 91.7 94.7

Appendix 1 249

42.1 37.9 40.7 44.3 45.3 46.8 54.4 53.3

17.8 15.3 15.7 17.5 18.5 17.6 16.9 14.1

14.2

Multi-source 51.3 inventory Field inventory 51.2 SE of field 1.0 inventory

Logs

12.9 25.5 12.7 12.0 13.8 8.2 9.8 12.3 18.6

Total

Pine

50.3 69.0 54.2 50.7 53.4 29.6 42.7 41.1 58.4

Toholampi Töysä Ullava Veteli Vimpeli Vähäkyrö Ylihärmä Ylistaro Ähtäri

Keski-Suomi Municipality 77 Hankasalmi 172 Joutsa 179 Jyväskylä 180 Jyväskylän mlk 182 Jämsä 183 Jämsänkoski 216 Kannonkoski 226 Karstula

849 863 885 924 934 942 971 975 989 Total

Table 6a (continued)

22.3 20.7 22.8 24.5 24.6 26.7 34.2 35.4

33.3

33.4 39.3 36.9 34.2 35.2 19.4 29.2 25.6 36.0

71.6 70.9 65.4 66.1 70.9 55.4 38.1 25.9

21.5 0.9

21.2

14.1 22.8 12.1 16.2 14.8 43.4 23.1 33.8 25.1

Pulpwood Total

36.2 33.6 31.9 32.3 34.5 26.3 16.7 11.3

8.5

5.8 10.5 5.4 6.5 6.1 14.9 7.6 13.1 11.6

Logs

32.5 34.1 30.7 31.0 33.0 26.4 19.3 13.1

11.4

7.4 11.1 6.1 8.8 7.8 25.6 14.2 18.5 12.0

Pulpwood

Spruce

18.4 22.3 18.4 17.4 18.2 15.2 13.7 12.4

14.6 0.5

13.5

18.2 9.6 15.5 15.7 15.3 18.2 14.6 15.0 12.0

Total

3.7 4.3 3.4 3.4 3.0 2.5 1.5 1.0

0.6

0.7 0.6 0.5 0.6 0.8 1.5 1.2 1.1 0.9

(m3/ha)

Logs

Birch

12.4 14.9 12.2 11.4 12.6 10.1 9.5 8.7

10.0

13.7 6.8 11.6 12.0 11.4 12.9 10.8 10.6 8.5

6.0 9.2 7.5 5.8 4.7 4.7 2.7 2.1

2.3 0.2

1.7

2.6 0.8 2.0 2.2 1.9 7.4 2.4 2.2 1.4

Pulpwood Total

0.2 0.4 0.3 0.3 0.3 0.2 0.1 0.1

0.1

0.0 0.0 0.0 0.2 0.2 0.4 0.1 0.3 0.1

Logs

3.7 5.9 4.8 3.7 3.0 2.9 1.6 1.2

1.2

1.8 0.5 1.4 1.5 1.3 5.9 1.9 1.5 0.9

Pulpwood

Other deciduous tree species

138.1 140.3 132.0 133.5 139.0 122.1 108.9 93.7

89.6 1.4

87.7

85.1 102.2 83.8 84.8 85.4 98.6 82.8 92.2 96.9

All tree species

250 Appendix 1

48.0

Multi-source inventory Field inventory SE of field inventory

31.8 36.3 45.6

48.6 1.0

51.8 47.6 54.0 43.5 42.2 44.9 49.8 45.6 48.0 40.1 52.7 40.0 47.7 49.7 52.2 51.5 45.3 51.1 45.8 51.2

Keuruu Kinnula Kivijärvi Konnevesi Korpilahti Kuhmoinen Kyyjärvi Laukaa Leivonmäki Luhanka Multia Muurame Petäjävesi Pihtipudas Pylkönmäki Saarijärvi Toivakka Uurainen Viitasaari Äänekoski

Pohjois-Savo Municipality 140 Iisalmi 174 Juankoski 204 Kaavi

249 256 265 275 277 291 312 410 415 435 495 500 592 601 633 729 850 892 931 992 Total

9.5 14.0 18.7

16.6

18.3 11.9 15.6 17.6 16.8 18.7 12.1 18.4 17.6 15.7 15.5 15.8 16.7 13.5 15.1 17.7 18.2 18.0 15.6 19.1

20.3 20.4 24.6

28.6

30.6 32.0 34.8 23.7 23.4 24.0 33.7 24.9 27.9 22.3 33.9 22.1 28.3 32.6 33.8 30.9 24.9 30.2 27.5 29.2

55.8 62.6 58.4

48.1 1.5

49.1

41.7 19.5 27.8 62.9 66.8 69.8 14.8 63.8 59.8 64.0 34.0 66.0 51.9 31.2 29.9 46.6 62.0 50.6 46.8 53.7

26.5 32.8 30.8

23.1

19.9 7.7 12.0 30.5 32.3 34.9 5.7 31.0 27.6 30.1 15.6 31.9 24.6 13.2 13.4 21.8 29.2 24.2 21.1 24.4

26.5 27.1 25.0

23.6

19.6 10.3 14.1 29.7 31.7 31.8 8.1 30.1 29.5 30.8 16.6 31.2 24.8 15.9 14.7 22.6 30.0 24.1 23.2 26.7

17.6 16.9 15.7

15.9 0.5

15.2

12.7 11.9 11.6 16.7 17.4 15.4 9.8 16.7 17.0 20.5 12.9 17.1 14.9 13.7 12.9 15.1 18.4 14.2 15.4 15.9

1.6 2.3 2.4

2.2

1.3 0.8 1.0 3.1 3.2 3.0 0.6 3.2 3.2 3.8 1.4 3.0 2.5 1.2 1.2 2.1 3.6 2.5 2.0 2.7

12.7 11.9 11.0

10.3

8.8 8.6 8.2 11.2 11.5 10.0 7.0 11.1 11.1 13.7 8.8 11.3 9.8 9.8 8.9 10.3 12.2 9.3 10.7 10.7

5.4 7.0 5.6

4.1 0.3

4.0

2.0 2.0 2.1 5.0 6.4 6.0 1.4 5.5 4.6 8.3 2.1 6.7 4.2 2.8 2.1 3.3 5.9 3.7 4.2 4.3

0.2 0.2 0.1

0.2

0.0 0.1 0.1 0.2 0.3 0.4 0.1 0.3 0.3 0.4 0.1 0.3 0.2 0.1 0.1 0.2 0.3 0.2 0.2 0.2

3.1 4.3 3.5

2.5

1.2 1.1 1.2 3.0 4.1 3.9 0.8 3.4 3.0 5.3 1.2 4.2 2.7 1.6 1.2 2.0 3.8 2.3 2.5 2.6

(continued)

110.5 122.7 125.3

116.8 1.8

116.4

108.3 81.0 95.6 128.0 132.9 136.0 75.9 131.5 129.5 132.7 101.6 129.8 118.7 97.5 97.1 116.6 131.7 119.7 112.1 125.0

Appendix 1 251

227 239 263 297 402 420 476 534 595 686 687 749 762 778 844 857 915 916 921 925 Total

13.2

Multi-source 38.2 inventory Field inventory 36.9 SE of field 1.0 inventory

Logs

14.9 14.5 9.0 16.3 10.4 18.1 12.1 11.5 12.0 17.4 10.6 12.0 9.2 18.7 14.7 15.5 21.1 10.8 15.5 9.6

Total

Pine

37.4 44.3 36.2 36.6 33.8 39.0 33.6 33.2 38.7 42.4 41.2 30.6 37.8 43.1 38.3 35.2 49.6 34.5 41.9 37.5

Karttula Keitele Kiuruvesi Kuopio Lapinlahti Leppävirta Maaninka Nilsiä Pielavesi Rautalampi Rautavaara Siilinjärvi Sonkajärvi Suonenjoki Tervo Tuusniemi Varkaus Varpaisjärvi Vesanto Vieremä

Table 6a (continued)

22.7

20.4 27.1 24.5 18.6 21.4 19.1 19.7 19.9 24.2 22.8 27.8 17.1 25.8 22.2 21.5 17.9 26.5 21.7 24.0 25.2

52.2 1.5

53.7

61.7 45.6 35.4 71.5 59.4 77.4 72.5 64.4 51.1 56.3 33.1 66.4 33.0 66.1 59.2 62.1 63.7 55.4 54.8 33.5

Pulpwood Total

26.3

31.1 21.3 14.6 37.9 29.3 41.8 36.8 33.4 23.8 26.9 13.9 34.3 13.7 33.9 28.7 32.9 32.2 27.1 25.7 13.6

Logs

24.7

27.7 21.9 18.3 30.5 27.1 32.3 32.4 28.1 24.6 26.7 16.9 29.1 17.1 29.4 27.6 26.3 28.5 25.5 26.4 17.5

18.7 0.6

17.8

19.6 16.9 18.3 19.2 18.2 20.2 17.9 17.9 17.4 18.4 16.3 17.2 16.5 17.7 17.7 17.8 18.0 18.0 17.2 17.7

Pulpwood Total

Spruce

2.2

3.2 1.9 1.1 3.4 1.8 4.0 2.4 2.1 1.8 3.3 1.1 2.5 1.0 3.3 2.8 3.2 4.1 1.7 2.8 1.1

(m3/ha)

Logs

12.5

13.6 12.1 13.3 13.2 13.1 13.8 12.8 12.8 12.4 12.6 11.8 12.1 12.0 12.2 12.3 12.2 11.6 12.9 11.8 12.8

Pulpwood

Birch

6.7 0.4

5.5

7.2 4.0 3.9 8.2 5.5 7.9 6.7 6.9 5.0 6.3 3.4 7.5 3.0 5.7 6.6 7.5 6.3 5.4 5.0 3.2

Total

0.2

0.3 0.2 0.2 0.3 0.2 0.3 0.3 0.2 0.2 0.2 0.1 0.3 0.1 0.2 0.3 0.2 0.4 0.2 0.2 0.1

Logs

3.4

4.6 2.5 2.4 5.2 3.3 5.1 4.2 4.2 3.0 3.9 2.1 4.7 1.8 3.6 4.1 4.6 3.4 3.2 3.1 1.9

Pulpwood

Other deciduous tree species

114.5 1.7

115.1

125.8 110.9 93.8 135.4 116.8 144.4 130.7 122.4 112.1 123.3 93.9 121.8 90.3 132.7 121.7 122.5 137.6 113.2 118.8 91.9

All tree species

252 Appendix 1

Kainuu Municipality 105 Hyrynsalmi 205 Kajaani

Pohjois-Karjala Municipality 45 Eno 146 Ilomantsi 167 Joensuu 176 Juuka 248 Kesälahti 260 Kitee 276 Kontiolahti 309 Outokumpu 422 Lieksa 426 Liperi 541 Nurmes 607 Polvijärvi 632 Pyhäselkä 707 Rääkkylä 848 Tohmajärvi 911 Valtimo Total Multi-source inventory Field inventory SE of field inventory

42.3 50.3

11.2 10.7

16.6

53.8

51.8 1.1

16.1 15.4 15.9 14.2 26.9 20.8 27.0 23.9 17.2 19.8 11.0 16.0 14.1 20.4 18.6 9.1

46.8 57.9 48.7 51.5 69.3 56.7 64.3 60.6 58.9 55.9 41.6 56.0 36.9 54.3 55.8 37.9

28.1 35.7

34.0

28.0 38.3 30.5 34.4 38.7 32.9 34.3 34.0 38.1 33.6 27.7 37.5 21.3 32.0 34.7 26.2

19.3 9.0

30.6 1.1

29.6

34.3 18.4 44.4 31.6 24.8 40.7 29.6 38.9 20.3 40.9 29.8 31.7 53.9 42.5 40.1 26.5

6.6 2.6

12.5

15.4 7.2 19.6 14.1 9.1 17.6 13.1 14.7 8.4 17.0 12.2 12.8 23.5 20.0 18.7 10.1

11.2 5.4

15.2

16.8 9.9 22.7 15.6 14.1 20.6 14.8 21.7 10.4 21.3 15.7 16.8 27.7 20.6 19.3 14.7

11.1 14.5

15.7 0.5

14.9

16.7 10.4 17.0 13.5 17.4 19.1 18.5 21.0 12.5 18.8 14.6 18.6 22.6 25.6 13.5 14.2

0.3 0.2

1.7

2.6 0.8 2.5 1.3 2.4 2.8 1.7 2.2 1.1 3.0 1.3 2.0 3.3 3.3 2.1 1.3

7.7 10.3

10.3

11.7 6.9 11.6 9.4 12.0 12.8 13.6 15.9 8.4 13.0 10.0 13.5 15.8 18.1 8.6 9.7

1.1 1.7

3.9 0.3

3.4

2.8 1.7 3.2 3.6 5.2 4.4 3.9 8.3 2.2 5.8 3.3 6.7 6.0 5.7 3.4 3.5

0.1 0.1

0.1

0.1 0.0 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.4 0.1 0.1 0.0 0.2 0.1 0.0

0.6 1.1

1.8

1.3 0.8 1.5 1.9 2.8 1.7 2.0 4.6 1.2 3.5 1.8 3.9 3.9 3.2 1.7 1.8

(continued)

73.8 75.5

102.0 1.4

101.7

100.6 88.4 113.3 100.3 116.7 120.8 116.4 128.9 93.9 121.4 89.3 113.0 119.3 128.1 112.8 82.2

Appendix 1 253

45.2

Multi-source inventory Field inventory SE of field inventory

50.5 50.3 45.8 48.6 43.5 38.5 47.1 42.2 50.2 49.5

44.3 0.9

51.6 44.9 37.5 39.3 44.9 42.2 49.8

Total

Kuhmo Paltamo Puolanka Ristijärvi Sotkamo Suomussalmi Vaala

Pohjois-Pohjanmaa Municipality 9 Alavieska 69 Haapajärvi 71 Haapavesi 72 Hailuoto 84 Haukipudas 139 Ii 208 Kalajoki 244 Kempele 247 Kestilä 255 Kiiminki

290 578 620 697 765 777 785 Total

Table 6a (continued)

Pine

10.0 11.8 10.7 11.5 9.1 7.7 8.0 8.3 9.1 9.6

12.1

15.8 11.0 9.4 10.4 10.4 12.1 11.3

Logs

36.6 34.8 31.8 32.5 30.6 27.3 35.2 29.6 36.4 35.7

29.9

32.2 31.2 25.2 26.3 31.5 26.9 34.1

16.7 21.0 16.2 5.7 15.2 13.0 11.0 8.2 4.2 15.9

17.2 0.8

16.4

16.4 21.0 18.8 23.9 21.2 15.4 3.4

Pulpwood Total

5.3 7.0 4.3 1.7 4.2 3.0 2.4 2.1 1.0 4.1

5.2

5.0 7.2 6.3 8.1 7.0 4.6 1.1

10.0 12.4 10.4 3.6 9.7 8.8 7.3 5.4 2.7 10.4

9.8

10.0 12.3 11.2 14.0 12.4 9.6 1.9

14.4 18.3 24.5 14.7 15.2 18.9 14.9 16.6 15.9 13.0

11.4 0.3

10.8

9.7 15.1 10.0 13.8 13.9 8.0 11.2

Pulpwood Total

Spruce Logs

0.3 0.7 0.5 0.1 0.2 0.2 0.3 0.1 0.2 0.2

0.3

0.2 0.4 0.3 0.4 0.4 0.2 0.2

(m3/ha)

10.6 13.7 18.9 10.0 11.3 14.2 11.0 11.6 11.2 9.4

7.5

6.3 10.9 7.1 9.9 9.6 5.5 7.8

2.5 3.8 4.4 2.8 2.1 2.6 1.5 2.6 1.7 1.4

1.3 0.1

1.2

1.1 1.8 1.0 1.5 1.9 0.8 1.1

0.1 0.1 0.1 0.1 0.1 0.2 0.1 0.1 0.1 0.1

0.0

0.0 0.1 0.0 0.0 0.1 0.0 0.1

Logs

1.5 2.6 3.3 2.0 1.4 1.8 0.8 2.0 1.2 0.9

0.7

0.6 1.0 0.6 0.8 1.1 0.5 0.8

Pulpwood

Other deciduous tree species

Pulpwood Total

Birch Logs

84.0 93.5 91.0 71.7 75.9 73.0 74.5 69.5 71.9 79.8

74.2 1.2

73.6

78.7 82.8 67.3 78.6 81.8 66.4 65.4

All tree species

254 Appendix 1

305 317 425 436 483 494 535 563 564 567 603 615 617 625 626 630 678 682 691 746 748 832 859 889 926 972

Kuusamo Kärsämäki Liminka Lumijoki Merijärvi Muhos Nivala Oulainen Oulu Oulunsalo Piippola Pudasjärvi Pulkkila Pyhäjoki Pyhäsalmi Pyhäntä Raahe Rantsila Reisjärvi Sievi Siikajoki Taivalkoski Tyrnävä Utajärvi Vihanti Yli-Ii

36.6 48.8 40.3 41.7 48.6 46.5 47.4 41.5 52.1 46.4 50.5 39.9 53.5 42.4 46.8 53.7 45.3 47.5 54.7 50.4 45.5 36.9 43.3 50.5 46.8 42.1

9.5 10.1 5.5 7.8 9.5 9.5 12.1 9.3 11.5 9.1 9.2 6.5 9.8 7.6 9.4 10.5 9.6 7.6 10.7 10.6 8.2 8.2 6.2 9.5 8.9 7.3

24.5 35.1 29.9 30.0 35.8 32.3 32.2 29.3 36.6 32.8 37.1 29.6 39.4 31.4 34.2 38.8 31.8 35.0 39.3 35.6 32.7 26.0 31.9 35.9 33.6 30.5

16.3 13.6 3.1 7.2 22.1 5.3 25.8 21.4 16.6 11.6 7.4 10.8 9.9 14.3 17.6 5.6 15.7 5.6 11.6 9.1 7.8 18.7 2.7 4.8 11.6 8.9

4.6 3.7 0.9 1.9 6.7 1.4 9.1 7.1 4.3 2.7 1.7 2.7 2.6 3.5 5.4 1.4 4.6 1.4 4.3 3.2 2.0 5.3 0.7 1.1 3.3 1.6

10.4 8.7 2.0 4.8 13.6 3.4 15.0 12.7 10.8 7.9 4.8 7.1 6.3 9.3 10.7 3.6 9.8 3.6 6.3 5.2 5.1 12.1 1.8 3.1 7.3 6.2

6.8 22.0 17.0 22.4 18.9 11.9 18.0 19.5 16.6 15.2 19.6 8.2 21.0 20.4 18.7 14.6 20.5 16.8 13.0 12.6 17.7 8.3 14.1 10.2 17.7 12.6

0.1 0.5 0.1 0.1 0.3 0.1 0.5 0.3 0.2 0.1 0.2 0.1 0.3 0.3 0.5 0.2 0.3 0.2 0.6 0.4 0.1 0.1 0.1 0.2 0.2 0.1

4.9 16.1 11.6 15.4 14.9 8.4 14.0 15.5 12.4 11.1 14.3 5.8 15.4 15.7 13.8 10.3 15.6 12.0 9.1 9.0 12.6 5.7 9.7 7.4 13.3 9.0

1.1 4.9 2.0 3.5 3.5 1.4 3.7 3.9 2.6 2.2 2.7 0.9 3.1 3.4 2.7 1.7 4.3 2.0 2.6 1.8 2.6 1.2 1.3 1.0 2.9 1.2

0.0 0.2 0.1 0.2 0.1 0.1 0.1 0.1 0.2 0.1 0.2 0.0 0.2 0.2 0.1 0.1 0.4 0.1 0.1 0.1 0.1 0.0 0.1 0.1 0.2 0.1

0.6 3.7 1.5 2.8 2.4 1.0 2.6 3.0 1.8 1.6 2.0 0.5 2.3 2.1 1.7 1.2 2.9 1.4 1.3 1.0 2.0 0.8 1.0 0.8 2.0 0.8

60.8 89.3 62.4 74.8 93.1 65.0 94.9 86.3 87.9 75.5 80.2 59.8 87.5 80.5 85.7 75.6 85.7 71.9 81.8 74.0 73.5 65.2 61.4 66.5 79.0 64.8 (continued)

Appendix 1 255

Ylikiiminki Ylivieska Total Multi-source inventory Field inventory SE of field inventory

Lapland Municipality 47 Enontekiö 148 Inari 240 Kemi 241 Keminmaa 261 Kittilä 273 Kolari 320 Kemijärvi 498 Muonio 583 Pelkosenniemi 614 Posio 683 Ranua 698 Rovaniemi 732 Salla 742 Savukoski

973 977

Table 6a (continued)

17.9 39.6 15.6 18.2 25.6 34.3 38.1 40.9 30.4 37.9 30.0 34.8 29.7 34.6

42.6 0.7

50.5 44.1 43.5

(m3/ha)

Total

Pine

3.2 6.3 1.6 2.7 4.9 7.3 6.9 11.0 4.8 7.7 4.1 6.1 5.4 6.4

9.2 9.3 8.7

Logs

13.8 31.1 12.3 13.6 18.7 23.9 27.7 27.7 22.7 27.3 22.4 25.3 22.0 25.6

36.3 31.4 31.0

1.5 2.7 28.2 25.1 10.0 9.2 6.9 8.5 8.8 11.4 7.0 9.7 14.3 10.5

14.1 0.6

10.1 18.3 12.7

Pulpwood Total

Spruce

0.3 0.7 9.6 6.7 1.9 1.1 1.1 1.9 1.3 2.7 0.8 1.1 3.5 2.6

2.3 6.4 3.5

1.0 1.9 16.5 16.0 7.1 6.7 5.0 5.8 6.3 7.8 5.2 7.2 9.5 7.0

6.8 10.7 8.1

12.2 6.5 22.3 23.2 9.4 9.0 6.7 6.5 9.7 5.4 6.4 7.4 7.7 5.6

13.7 0.3

12.7 16.8 13.2

Logs Pulpwood Total

Birch

0.0 0.0 0.2 0.3 0.1 0.1 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.0

0.1 0.3 0.2

Logs

3.8 3.0 16.4 16.9 6.6 6.1 4.4 3.9 6.2 3.8 4.1 5.1 5.3 3.9

9.3 12.9 9.6

0.1 0.1 2.8 2.0 0.4 0.6 0.4 0.3 0.7 0.6 0.4 0.5 0.8 0.3

2.1 0.1

1.3 3.2 1.9

Pulpwood Total

0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

0.1 0.1 0.1

Logs

0.0 0.0 1.6 1.2 0.2 0.3 0.1 0.2 0.4 0.3 0.2 0.3 0.4 0.1

1.0 2.2 1.3

Pulpwood

Other deciduous tree species

31.7 48.9 68.7 68.4 45.4 53.1 52.0 56.2 49.6 55.2 43.8 52.3 52.4 50.9

72.5 1.0

74.6 82.4 71.3

All tree species

256 Appendix 1

751 758 845 851 854 890 976 Total

5.6 5.8 3.0 1.9 6.3 0.1 5.0

5.7

29.0 29.5 23.8 16.5 32.4 3.0 30.0

Multi-source 31.7 inventory Field inventory 31.7 SE of field 0.7 inventory

Simo Sodankylä Tervola Tornio Pello Utsjoki Ylitornio

23.5

19.7 21.7 18.0 12.7 22.7 2.5 21.0

9.7 0.4

8.8

12.0 9.0 20.0 25.2 11.0 0.3 10.9 1.7

2.2 2.0 3.3 5.9 1.3 0.0 1.2 6.2

8.4 6.3 14.2 16.9 8.0 0.2 8.0

8.8 0.2

8.4

18.4 7.4 14.9 21.3 10.2 12.1 12.8 0.1

0.2 0.0 0.1 0.3 0.1 0.0 0.1 5.2

13.2 5.0 10.4 15.3 6.9 2.4 8.7

0.5 0.0

0.4

1.1 0.2 1.2 2.0 0.9 0.1 0.7 0.0

0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2

0.7 0.1 0.8 1.2 0.5 0.0 0.5

50.6 0.7

49.3

60.6 46.1 59.9 65.0 54.5 15.4 54.4

Appendix 1 257

637

5,945 5,124 294

1,371 789 593 223 335

Rannikko/Etelärannikko Municipality 40 Dragsfjärd 49 Espoo-Esbo 78 Hanko-Hangö 91 Helsinki-Helsingfors 92 Vantaa-Vanda

418 345 172 86 131

4 57 60 64 32 66 78 23 7 59 19 3 69 5 53 38

158 509 512 593 338 596 623 267 55 503 172 34 656 57 485 387

889 418 405 128 189

05,088

144 433 435 507 292 509 526 232 44 426 147 30 563 49 415 334

Pulpwood

Pine

Logs

Åland Municipality 35 Brändö 43 Eckerö 60 Finström 62 Föglö 65 Geta 76 Hammarland 170 Jomala 295 Kumlinge 318 Kökar 417 Lemland 438 Lumparland 478 Mariehamn 736 Saltvik 766 Sottunga 771 Sund 941 Vårdö Total Multi-source inventory Field inventory SE of field inventory

Total

674 1,089 215 323 721

02,422 2,061 230

5 224 258 198 126 276 323 45 9 260 67 12 267 14 205 132

Total

265 557 65 150 327

599

1 56 66 50 30 68 82 9 1 67 16 3 66 3 49 31

Logs

377 475 136 152 351

1,623

4 148 171 132 85 185 215 33 8 172 45 8 180 10 139 89

(1,000 m3)

Pulpwood

Spruce

33

0 3 4 2 2 4 5 1 0 4 1 0 3 0 3 1

130 269 114 137 218

1,016

71 82 97 75 41 112 115 55 25 108 20 6 79 13 72 45

Pulpwood

Birch Logs

183 31 441 130 154 24 229 60 355 93

1,248 1,099 96

83 101 119 93 50 136 141 67 34 132 25 8 97 17 89 56

Total

79 241 49 128 187

901 982 136

96 50 73 91 26 79 90 75 42 85 18 6 56 19 56 40

Total

9 42 16 17 21

19

1 1 1 2 0 2 2 2 1 3 0 0 1 0 2 1

44 147 28 80 126

652

56 40 58 60 20 63 71 50 26 67 13 4 42 12 43 28

Logs Pulpwood

2,307 2,560 1,011 903 1,599

10,516 9,267 545

341 884 962 976 540 1,087 1,177 454 140 979 282 60 1,076 107 836 615

Other deciduous tree species All tree species

Table 6b The growing stock volume by tree species and roundwood assortment on forest land and poorly productive forest land (By forestry centres).

258 Appendix 1

4 207 149 562

612

18 946 535 1,906

2,689

1,879

13 674 345 1,216

23,454 7,898 14,627 22,231 1,089

Multi-source inventory Field inventory SE of field inventory

485 693 267 382 6 832 622 574 389 140 99 875 708 783 664 1,165 490 555 316 2,260 294

689 172 1,220 485 418 135 633 228 11 4 1,424 535 1,140 481 811 199 678 260 241 90 167 61 1,240 301 1,138 377 1,252 412 1,043 340 1,787 554 782 259 917 330 640 303 3,427 1,048 485 173

Houtskär-Houtskari Ingå-Inkoo Iniö Karis-Karjaa Kauniainen-Grankulla Kimito-Kemiö Kirkkonummi-Kyrkslätt Korpo-Korppoo Lapinjärvi-Lappträsk Liljendal Loviisa-Lovisa Nagu-Nauvo Pargas-Parainen Pernå-Pernaja Pohja-Pojo Porvoo-Borgå Ruotsinpyhtää-Strömfors Sipoo-Sibbo Siuntio-Sjundeå Ekenäs-Tammisaari Västanfjärd

Rannikko/Pohjanmaa Municipality 231 Kaskinen-Kaskö 272 Kokkola-Karleby 280 Korsnäs 287 KristinestadKristiinankaupunki 288 Kronoby-Kruunupyy

101 149 150 220 235 243 257 279 407 424 434 533 573 585 606 638 701 753 755 835 923 Total

1,437

37 712 796 2,671

22,470 21,751 1,316

212 1,341 118 722 12 798 1,325 252 1,538 485 198 417 492 1,874 706 2,858 1,080 1,617 1,116 2,025 261

127 619 71 359 5 410 559 146 801 254 103 254 273 982 384 1,502 599 801 463 1,111 136

471

11 217 243 826

886

23 452 496 1,693

9,806 11,450

75 655 40 325 6 349 700 93 656 206 84 142 192 789 280 1,191 417 722 600 808 112

6 130 3 79 2 41 145 9 75 23 11 20 34 97 48 161 73 131 79 133 15

26 265 18 194 4 143 305 47 282 86 45 144 144 426 153 572 313 353 186 479 48

847

12 453 449 860

38

1 22 34 70

652

9 354 335 657

7,611 1,657 5,100 8,242 537

41 432 25 298 6 216 495 66 402 124 60 183 205 582 233 835 417 551 293 711 73

8 48 7 28 0 13 57 5 13 5 1 2 9 23 16 38 12 25 44 57 4

83

4 66 46 161

5

0 5 3 22

2,844 522 3,751 348

31 128 25 97 3 77 226 41 88 29 14 63 89 150 74 300 96 219 143 246 21

60

3 44 30 110

1,797

22 61 17 52 2 46 121 30 54 18 10 44 54 102 48 223 68 161 69 156 13

(continued)

5,056

72 2,177 1,827 5,599

56,378 55,975 2,092

973 3,120 586 1,749 32 2,516 3,187 1,170 2,706 879 439 1,903 1,925 3,858 2,056 5,781 2,375 3,304 2,192 6,410 840

Appendix 1 259

Multi-source inventory Field inventory SE of field inventory

Larsmo-Luoto Malax-Maalahti Korsholm-Mustasaari Närpes-Närpiö Oravais-Oravainen Jakobstad-Pietarsaari Pedersöre-Pedersören kunta Nykarleby-Uusikaarlepyy Vaasa-Vasa Vörå-Maxmo-VöyriMaksamaa

Lounais-Suomi Municipality 6 Alastaro 17 Askainen 19 Aura 50 Eura 51 Eurajoki 73 Halikko 79 Harjavalta 99 Honkajoki 102 Huittinen 181 Jämijärvi 202 Kaarina

Total

893 905 945

440 475 499 545 559 598 599

Table 6b (continued)

445 94 326

93 284 429 740 111 41 628 1,455 184 919

292 739 929 1,564 344 164 1,859

Pulpwood

Pine

Logs

698 260 267 1,846 1,427 1,368 429 1,384 961 745 166

272 107 126 715 578 588 140 402 337 259 64

400 145 132 1,055 790 733 269 905 584 443 96

18,583 4,726 12,577 18,152 881

2,054 292 1,328

415 1,116 1,443 2,454 486 219 2,681

Total

797 106 249 1,622 1,291 1,017 394 267 1,539 540 90

19,930 21,295 1,117

1,384 628 1,949

295 1,382 2,995 3,463 463 156 1,563

Total

886 380 1,141

185 813 1,746 2,159 289 103 994

379 39 115 714 546 454 166 96 709 251 38

374 60 121 808 666 519 202 152 739 255 48

6,460 12,246

373 218 682

93 473 1,103 1,108 141 39 462

(1,000 m3)

Pulpwood

Spruce Logs

55 18 79

9 59 71 81 21 8 53

231 31 57 516 388 262 147 300 481 219 25

28 5 9 60 37 56 16 16 62 26 4

163 22 37 359 273 166 104 227 338 160 17

7,091

725 165 626

136 618 792 926 212 110 773

Pulpwood

Birch Logs

9,401 618 8,985 507

951 215 865

179 839 1,073 1,236 283 140 998

Total

6 3 18

2 17 19 18 4 2 9

50 23 26 116 111 130 24 45 72 48 17

5 3 4 17 15 18 3 5 8 3 2

1,565 133 1,961 246

95 61 216

33 132 303 192 41 20 112

34 16 18 80 78 89 16 31 45 35 12

1,131

69 48 161

21 92 238 129 29 14 83

Logs Pulpwood

1,775 420 598 4,099 3,217 2,778 994 1,996 3,054 1,552 298

49,479 50,392 1,909

4,484 1,196 4,359

922 3,468 5,814 7,344 1,273 536 5,354

Other deciduous tree species All tree species Total

260 Appendix 1

214 230 252 254 259 262 271 284 304 308 319 400 406 413 419 423 430 442 480 481 482 484 485 501 503 529 531 537 538 561 577 586 587 602

Kankaanpää Karvia Kiikala Kiikoinen Kisko Kiukainen Kokemäki Koski Tl Kustavi Kuusjoki Köyliö Laitila Lappi Lavia Lemu Lieto Loimaa Luvia Marttila Masku Mellilä Merikarvia Merimasku Muurla Mynämäki Naantali Nakkila Noormarkku Nousiainen Oripää Paimio Perniö Pertteli Piikkiö

2,693 2,034 943 478 1,167 397 1,758 404 912 287 971 2,366 957 1,260 131 674 920 716 549 305 190 1,844 270 311 2,027 224 448 1,254 782 392 915 1,820 463 308

834 566 437 168 540 156 627 170 342 133 374 948 378 459 53 309 386 283 236 121 69 572 109 145 780 89 163 492 329 161 389 840 218 127

1,705 1,360 475 284 587 224 1,047 220 538 145 556 1,325 538 732 73 343 501 395 292 171 112 1,135 151 155 1,157 127 264 700 425 216 495 919 230 170

1,614 476 962 584 1,078 436 1,691 722 281 377 809 1,734 705 1,264 72 519 1,623 948 631 206 274 1,538 94 250 1,608 88 622 1,671 678 279 557 1,403 428 187

753 173 468 278 507 181 742 370 89 182 370 744 309 560 30 243 837 409 300 87 138 624 33 116 716 33 269 769 326 129 247 658 201 83

762 270 449 273 516 228 845 317 171 177 392 885 353 624 38 250 709 476 298 107 121 808 54 121 794 49 312 805 316 135 287 680 207 96

729 441 223 170 269 138 533 159 105 80 264 495 196 448 20 109 345 300 160 55 72 581 29 64 513 24 213 505 155 91 138 341 100 43

71 25 37 23 47 15 65 19 20 12 32 49 21 58 2 16 40 24 22 6 8 63 5 11 58 4 21 62 21 12 25 64 16 8

539 328 147 124 175 97 373 112 71 54 186 340 137 328 14 72 244 222 108 38 50 420 20 41 359 17 156 369 108 62 91 216 65 29

125 67 78 31 106 32 89 33 104 27 51 132 52 83 9 50 75 44 49 26 13 117 25 26 135 17 33 75 38 23 63 131 42 24

10 9 12 2 19 4 11 3 20 4 7 18 7 6 1 8 8 7 7 3 1 9 4 4 18 2 5 9 5 3 7 22 8 3

86 47 54 21 72 22 60 22 71 19 36 92 36 59 7 36 48 31 35 18 9 83 18 18 95 12 22 52 25 17 43 92 29 16

(continued)

5,161 3,018 2,206 1,263 2,620 1,003 4,070 1,319 1,402 771 2,095 4,728 1,910 3,056 232 1,352 2,962 2,007 1,389 591 549 4,079 418 650 4,283 353 1,316 3,505 1,652 785 1,673 3,694 1,033 562

Appendix 1 261

608 609 631 636 680 684 704 705 734 738 747 761 776 783 784 833 838 853 886 895 906 913 918 920 979 Total

Multi-source inventory Field inventory SE of field inventory

Pomarkku Pori Pyhäranta Pöytyä Raisio Rauma Rusko Rymättylä Salo Sauvo Siikainen Somero Suomusjärvi Säkylä Särkisalo-Finby Taivassalo Tarvasjoki Turku-Åbo Ulvila Uusikaupunki Vahto Vampula Vehmaa Velkua Yläne

Table 6b (continued)

515 716 534 805 315 406 590 681 58 80 547 752 65 87 274 450 234 268 369 521 613 1,224 750 972 307 357 274 385 178 216 239 356 133 143 261 374 537 849 861 1,232 120 157 133 193 284 402 63 110 619 902

Pulpwood

Pine

Logs

63,197 24,465 35,959 64,682 1,710

1,290 1,418 745 1,322 143 1,353 160 751 521 926 1,964 1,783 688 684 408 616 286 661 1,463 2,183 288 339 714 180 1,591

Total

53,906 56,274 2,038

1,742 1,918 532 1,314 80 912 115 226 422 526 1,458 2,728 739 511 321 196 287 369 1,664 1,061 258 539 328 41 1,301

Total

24,245 26,567

832 816 825 968 220 280 610 634 34 41 375 480 50 58 81 131 191 210 223 277 628 733 1,357 1,235 373 333 238 244 144 161 68 115 131 142 156 193 713 842 410 585 122 121 248 262 128 182 12 27 599 628

(1,000 m3)

Pulpwood

Spruce Logs 55 61 17 50 3 27 3 11 18 23 67 98 29 19 16 12 11 16 71 37 9 22 12 3 53

315 460 100 229 14 185 20 44 72 97 439 480 113 107 46 43 42 74 429 251 47 114 75 10 290

Pulpwood

Birch Logs

16,580 2,045 11,675 17,089 630

430 633 146 339 21 265 28 63 113 142 606 692 169 152 73 64 65 109 590 354 67 162 106 15 414

Total 7 14 7 18 2 12 2 9 8 9 9 28 10 5 6 7 5 10 9 17 2 3 5 4 12 4,403 573 4,663 398

69 109 48 117 15 94 15 60 48 72 125 190 66 35 41 51 31 71 87 163 16 29 54 19 88 3,038

47 79 33 83 10 66 10 42 34 48 89 125 45 24 28 36 22 47 61 112 11 19 36 13 61

Logs Pulpwood

138,086 142,708 3,243

3,530 4,078 1,472 3,092 258 2,625 317 1,101 1,104 1,665 4,153 5,394 1,663 1,382 842 928 670 1,210 3,804 3,761 629 1,068 1,202 255 3,394

Other deciduous tree species All tree species Total

262 Appendix 1

Häme-Uusimaa Municipality 15 Artjärvi 16 Asikkala 18 Askola 61 Forssa 81 Hartola 82 Hattula 83 Hauho 86 Hausjärvi 98 Hollola 103 Humppila 106 Hyvinkää 109 Hämeenlinna 111 Heinola 165 Janakkala 169 Jokioinen 186 Järvenpää 210 Kalvola 223 Karjalohja 224 Karkkila 245 Kerava 283 Hämeenkoski 316 Kärkölä 398 Lahti 401 Lammi 433 Loppi 444 Lohja-Lojo 504 Myrskylä-Mörskom 505 Mäntsälä 532 Nastola 540 Nummi-Pusula 543 Nurmijärvi

383 1,812 512 580 1,813 1,126 974 838 1,048 280 859 434 3,228 1,321 379 39 925 404 721 45 350 453 281 1,339 1,804 780 535 1,237 1,078 1,417 668

183 979 269 261 899 473 492 359 543 121 347 194 1,617 598 175 17 367 164 317 21 166 194 150 635 771 361 261 539 572 600 269

182 772 227 299 862 609 458 444 461 150 471 224 1,478 677 193 20 519 223 376 21 169 236 121 653 960 394 254 645 470 763 364

785 3,561 1,160 1,265 3,344 1,819 2,690 1,855 2,692 744 1,676 872 3,227 3,218 787 121 1,780 484 1,472 121 1,213 1,371 549 3,742 3,721 1,251 1,066 3,674 1,395 2,186 1,555

377 1,865 548 660 1,576 872 1,464 1,008 1,429 371 903 441 1,475 1,741 407 61 853 253 797 54 636 736 278 1,984 2,014 686 491 1,996 688 1,105 808

362 1,534 554 542 1,616 842 1,116 769 1,137 344 702 387 1,598 1,337 343 54 831 211 608 60 521 578 240 1,575 1,543 510 514 1,531 639 973 676

162 1,016 270 267 1,289 679 474 372 466 164 388 274 1,349 719 152 32 550 140 347 37 207 260 127 668 884 340 270 616 400 599 395

38 253 74 45 289 144 92 79 86 22 84 57 325 135 24 6 98 24 75 8 33 54 24 101 190 65 67 147 90 112 86

102 649 167 185 875 456 331 245 310 123 255 186 861 498 107 21 385 92 235 24 147 172 78 485 591 231 171 394 244 412 260

62 405 78 33 415 76 214 125 241 17 127 67 410 198 24 18 38 25 97 18 76 87 113 224 192 134 69 195 242 132 199

5 52 12 6 48 14 28 23 33 2 20 9 40 35 3 2 5 4 13 1 12 10 13 33 28 19 10 27 30 19 28

41 263 47 23 243 48 162 70 152 12 76 47 248 129 17 9 26 16 67 11 49 52 72 150 133 79 40 111 150 90 126

(continued)

1,391 6,793 2,021 2,146 6,861 3,699 4,352 3,189 4,448 1,204 3,051 1,647 8,214 5,455 1,341 210 3,293 1,053 2,637 221 1,847 2,170 1,070 5,973 6,602 2,504 1,940 5,722 3,115 4,334 2,817

Appendix 1 263

Multi-source inventory Field inventory SE of field inventory

Orimattila Padasjoki Pornainen Pukkila Renko Riihimäki Sammatti Sysmä Tammela Tuulos Tuusula Vihti Ypäjä

Kaakkois-Suomi Municipality 44 Elimäki 75 Hamina 142 Iitti 153 Imatra 163 Jaala 173 Joutseno 285 Kotka 286 Kouvola 306 Kuusankoski

560 576 611 616 692 694 737 781 834 855 858 927 981 Total

Table 6b (continued)

653 604 1,094 844 161 146 120 119 430 479 106 135 96 125 1,273 1,095 893 1,190 190 195 148 189 632 781 179 187

Pulpwood

Pine

Logs

802 2,667 1,755 525 2,612 1,178 1,003 95 329

326 442 873 1,662 634 1,035 244 262 1,107 1,384 568 569 379 574 28 62 105 207

40,184 18,886 19,784 38,692 1,413

1,314 2,004 319 249 943 252 230 2,444 2,163 398 356 1,474 376

Total

1,647 2,619 2,739 608 1,618 1,267 992 108 423

79,157 79,011 2,287

2,795 4,037 744 658 1,638 634 277 3,895 3,441 1,159 987 2,696 799

Total 1,194 1,582 365 291 668 256 123 1,854 1,498 486 445 1,145 366

785 1,134 1,268 274 678 592 437 45 184

783 1,349 1,327 307 848 617 499 56 216

40,921 34,520

1,458 2,266 341 336 899 352 141 1,856 1,758 620 498 1,419 397

(1,000 m3)

Pulpwood

Spruce Logs 115 196 44 33 99 30 15 370 157 33 49 168 26

332 660 125 98 262 93 58 1,045 637 144 156 499 116

Pulpwood

Birch Logs

352 576 749 227 820 500 355 39 137

66 97 134 50 142 113 63 6 22

237 394 502 150 578 331 249 26 93

20,185 4,259 13,516 20,689 745

530 952 197 151 407 141 86 1,554 907 202 240 743 165

Total 29 41 11 7 9 11 3 68 11 9 15 51 3

109 150 236 76 213 178 102 13 42

14 16 27 11 18 27 8 1 4

6,341 854 7,920 503

238 276 70 54 51 54 17 553 107 66 115 363 26

72 98 154 41 148 98 69 8 27

4,048

145 183 39 31 33 33 10 355 80 46 70 245 19

Logs Pulpwood

2,910 6,012 5,478 1,436 5,263 3,123 2,452 254 931

145,867 146,312 3,160

4,877 7,269 1,330 1,113 3,039 1,082 609 8,446 6,619 1,824 1,699 5,276 1,365

Other deciduous tree species All tree species Total

264 Appendix 1

Multi-source inventory Field inventory SE of field inventory

Lappeenranta Lemi Luumäki Miehikkälä Parikkala Pyhtää-Pyttis Rautjärvi Ruokolahti Savitaipale Anjalankoski Suomenniemi Taipalsaari Valkeala Virolahti Ylämaa

Pirkanmaa Municipality 20 Akaa 108 Hämeenkyrö 143 Ikaalinen 177 Juupajoki 211 Kangasala 250 Kihniö 289 Kuhmalahti 303 Kuru 310 Kylmäkoski 418 Lempäälä 493 Mouhijärvi 506 Mänttä

405 416 441 489 580 624 689 700 739 754 775 831 909 935 978 Total

1,189 456 1,238 571 994 410 759 2,387 1,340 883 912 1,010 1,572 505 533

1,752 520 2,293 1,233 1,184 587 812 3,074 1,814 1,700 1,007 1,060 2,577 1,006 1,152

199 1,224 2,876 874 1,424 1,765 506 3,547 525 651 749 209

77 113 489 676 1,058 1,672 367 469 600 761 499 1,167 214 272 1,256 2,121 211 292 285 338 283 426 91 110

49,410 19,023 27,968 48,781 1,468

3,097 1,017 3,730 1,920 2,280 1,050 1,630 5,729 3,312 2,726 2,011 2,156 4,374 1,610 1,802

372 2,394 3,070 1,557 2,583 630 1,088 3,193 906 1,674 1,237 360

43,413 44,535 1,726

3,625 997 3,586 1,824 1,734 1,265 1,554 3,594 1,937 2,952 775 1,135 3,332 1,294 1,786

1,654 449 1,768 941 941 630 748 1,762 951 1,536 401 565 1,708 676 907

163 1,071 1,420 753 1,167 244 503 1,433 430 764 541 172

185 1,182 1,467 721 1,258 339 522 1,568 424 814 617 169

19,497 21,638

1,810 502 1,640 783 689 564 725 1,634 889 1,259 329 508 1,445 544 780

178 624 77 233 162 607 53 250 145 557 99 326 133 430 350 1,034 208 599 122 484 119 318 153 441 187 723 41 184 57 279

131 763 1,007 412 826 497 327 1,044 242 451 346 121

17 87 110 55 113 36 49 107 34 56 41 15

95 569 740 301 598 376 235 770 175 333 253 88

14,267 2,779 9,649 13,960 621

908 349 881 355 828 480 643 1,572 911 710 489 670 1,061 269 388

37 14 23 10 18 13 23 34 11 23 6 24 24 6 10

24 144 135 61 178 59 73 115 36 94 61 18

3 24 15 8 20 6 8 13 4 14 10 2

3,816 400 4,704 336

262 108 192 78 339 132 223 346 168 177 92 180 261 60 79

17 95 92 41 125 43 51 77 24 64 40 13

2,382

162 67 130 51 193 88 126 193 114 115 56 103 176 39 53

(continued)

726 4,524 7,088 2,903 5,011 2,952 1,993 7,899 1,708 2,870 2,393 709

110,906 111,981 2,499

7,892 2,470 8,390 4,178 5,181 2,927 4,050 11,239 6,329 6,565 3,368 4,140 9,028 3,233 4,056

Appendix 1 265

1,554 4,413 2,569 2,183 5,710 5,199 3,076

736 1,385 1,217 905 2,522 2,422 1,287

761 2,827 1,263 1,168 2,939 2,562 1,659

44,334 16,872 25,341 43,888 1,286

430 1,410 2,546 95 539 878 1,739 795 766 337 1,465 446 995 3,369 648 469

Multi-source inventory Field inventory SE of field inventory

342 1,049 1,266 84 391 750 1,366 615 586 270 963 391 845 1,768 481 279

Pulpwood

Pine

Logs

812 2,575 4,034 187 965 1,687 3,241 1,477 1,412 633 2,559 872 1,919 5,441 1,185 788

Total

Nokia Orivesi Parkano Pirkkala Punkalaidun Pälkäne Ruovesi Tampere Urjala Valkeakoski Vammala Vesilahti Vilppula Virrat Ylöjärvi Äetsä

Etelä-Savo Municipality 46 Enonkoski 90 Heinävesi 97 Hirvensalmi 171 Joroinen 178 Juva 213 Kangasniemi 246 Kerimäki

536 562 581 604 619 635 702 837 887 908 912 922 933 936 980 988 Total

Table 6b (continued)

1,612 5,567 1,647 2,948 5,574 4,833 2,164

60,575 58,410 1,809

1,579 4,884 1,719 448 1,742 3,884 4,752 3,112 2,515 1,422 3,827 1,991 2,875 3,595 2,220 950

Total 784 2,310 874 221 765 1,846 2,213 1,474 1,162 695 1,855 893 1,327 1,793 1,048 468

698 2,671 688 1,568 2,797 2,431 848

811 2,563 865 1,240 2,504 2,164 1,185

28,095 28,997

700 2,302 726 200 890 1,824 2,294 1,469 1,217 640 1,736 996 1,397 1,579 1,046 419

(1,000 m3)

Pulpwood

Spruce Logs 53 168 81 16 42 176 147 104 88 61 127 54 106 132 75 32

309 875 721 96 256 749 824 609 466 317 787 291 581 1,083 471 200

Pulpwood

Birch Logs

551 1,483 1,108 863 1,995 1,837 1,054

112 263 251 172 410 401 181

368 986 728 560 1,306 1,190 716

18,043 2,179 13,168 18,173 670

424 1,218 979 130 364 1,065 1,131 818 646 439 1,075 400 804 1,472 635 276

Total

187 478 362 263 527 486 283

3,112 4,336 360

83 234 120 29 63 308 170 167 100 97 171 71 122 218 119 42

13 47 39 17 35 36 12

407

14 28 12 5 6 50 19 26 14 10 27 11 13 22 19 7

105 258 226 162 313 297 171

2,119

55 159 84 19 40 209 116 112 69 68 113 47 85 155 79 28

Logs Pulpwood

3,904 11,941 5,686 6,256 13,806 12,355 6,576

126,065 124,807 2,622

2,897 8,912 6,851 793 3,132 6,944 9,294 5,574 4,674 2,591 7,633 3,333 5,719 10,725 4,159 2,056

Other deciduous tree species All tree species Total

266 Appendix 1

Multi-source inventory Field inventory SE of field inventory

Mikkeli Mäntyharju Pertunmaa Pieksämäki Punkaharju Puumala Rantasalmi Ristiina Savonlinna Savonranta Sulkava

Etelä-Pohjanmaa Municipality 4 Alahärmä 5 Alajärvi 10 Alavus 52 Evijärvi 74 Halsua 95 Himanka 145 Ilmajoki 151 Isojoki 152 Isokyrö 164 Jalasjärvi 175 Jurva 217 Kannus 218 Karijoki 232 Kauhajoki 233 Kauhava 236 Kaustinen

491 507 588 593 618 623 681 696 740 741 768 Total

3,976 2,667 687 2,707 1,563 2,753 1,000 1,604 2,088 747 1,495

3,965 3,069 688 4,003 1,545 3,193 1,237 1,660 2,571 906 1,832

996 3,287 3,622 1,380 1,431 943 1,681 2,385 746 3,093 1,405 1,507 602 4,328 1,676 1,273

225 989 1,174 344 269 197 533 675 170 874 467 327 188 1,028 463 283

693 2,058 2,203 931 1,017 671 1,034 1,532 502 2,010 849 1,057 376 2,957 1,093 867

72,667 31,764 37,849 72,903 1,761

8,240 5,985 1,422 7,081 3,236 6,233 2,333 3,388 4,853 1,719 3,475

358 715 907 565 151 390 1,514 1,680 711 1,189 1,397 467 472 1,571 600 283

57,521 58,988 1,738

7,086 2,860 1,662 7,039 1,889 1,538 2,468 1,933 2,720 1,921 2,059

3,373 1,527 798 3,047 966 866 1,184 1,020 1,504 978 1,038

106 294 381 217 48 131 672 681 271 512 552 159 169 601 233 104

225 375 472 320 84 233 765 910 390 608 769 272 277 876 332 160

26,745 27,633

3,361 1,146 781 3,601 828 581 1,151 805 1,064 815 913

749 325 204 435 165 312 162 243 263 154 183

2,159 1,150 628 1,719 577 1,088 587 768 1,060 434 652

260 721 703 352 408 342 453 737 323 690 498 637 170 867 402 381

14 30 34 19 12 9 35 39 25 28 30 15 9 35 23 10

194 533 519 266 296 267 318 570 229 506 379 496 128 663 300 287

25,034 4,985 16,677 26,392 823

3,296 1,702 930 2,551 874 1,583 875 1,147 1,543 673 968

80 26 21 37 6 4 22 21 9 14 7

34 69 63 38 60 33 88 112 60 83 73 47 22 95 40 26

2 5 6 2 1 1 24 14 6 6 9 1 3 8 3 0

6,722 446 7,680 474

948 374 226 587 224 240 346 282 440 217 254

27 47 43 28 40 24 53 83 42 59 52 34 15 74 29 19

3,915

571 207 137 350 127 125 184 163 258 123 136

(continued)

1,648 4,792 5,296 2,335 2,049 1,709 3,737 4,913 1,839 5,055 3,374 2,659 1,266 6,860 2,718 1,963

161,944 165,964 2,564

19,569 10,921 4,239 17,259 6,223 9,595 6,021 6,750 9,556 4,530 6,756

Appendix 1 267

281 300 301 315 399 403 408 414 421 429 544 584 743 759 846 849 863 885 924 934 942 971 975 989 Total

Multi-source inventory Field inventory SE of field inventory

Kortesjärvi Kuortane Kurikka Kälviä Laihia Lappajärvi Lapua Lehtimäki Lestijärvi Lohtaja Nurmo Perho Seinäjoki Soini Teuva Toholampi Töysä Ullava Veteli Vimpeli Vähäkyrö Ylihärmä Ylistaro Ähtäri

Table 6b (continued)

290 790 506 522 386 441 747 418 439 322 380 486 526 817 555 522 572 151 442 287 74 77 363 1,248

833 1,244 869 1,669 857 1,146 1,542 722 1,243 1,068 783 1,950 1,294 1,680 1,018 1,349 879 439 1,263 729 177 229 757 2,414

Pulpwood

Pine

Logs

70,958 19,568 46,001 70,430 1,790

1,220 2,168 1,456 2,405 1,343 1,709 2,466 1,213 1,853 1,523 1,253 2,717 1,979 2,685 1,674 2,030 1,543 645 1,873 1,106 269 334 1,216 3,921

Total

29,231 29,561 1,321

447 739 910 807 1,414 564 1,144 288 417 513 541 279 604 769 1,433 570 510 144 599 307 394 181 1,001 1,683

Total 257 382 475 468 757 312 609 152 217 306 285 156 314 394 798 297 248 72 324 162 233 111 548 808

11,728 15,754

161 320 385 287 569 217 475 120 169 171 226 95 250 327 559 236 235 64 241 127 135 59 389 780

(1,000 m3)

Pulpwood

Spruce Logs 14 23 14 23 40 22 40 9 19 14 12 14 25 23 23 26 13 5 24 16 13 9 33 62 13,881

226 273 243 640 456 374 479 168 363 379 225 330 397 393 372 554 152 138 443 237 117 84 314 573

Pulpwood

Birch Logs

18,722 883 20,009 707

300 378 330 841 629 491 658 230 499 496 312 483 541 536 491 735 215 185 581 317 166 114 444 806

Total 2 2 6 2 11 4 5 1 0 1 2 3 8 3 7 0 1 0 8 4 3 1 8 7 2,338 183 3,137 301

30 28 47 68 109 44 93 21 76 43 37 107 63 58 60 103 18 24 81 39 67 18 65 97 1,649

23 19 32 51 81 32 64 14 49 33 27 71 43 38 42 74 12 17 56 27 54 15 44 59

Logs Pulpwood

121,249 123,138 2,714

1,998 3,314 2,742 4,121 3,495 2,807 4,362 1,752 2,845 2,575 2,144 3,586 3,187 4,048 3,658 3,438 2,286 998 3,134 1,769 896 648 2,726 6,507

Other deciduous tree species All tree species Total

268 Appendix 1

Keski-Suomi Municipality 77 Hankasalmi 172 Joutsa 179 Jyväskylä 180 Jyväskylän mlk 182 Jämsä 183 Jämsänkoski 216 Kannonkoski 226 Karstula 249 Keuruu 256 Kinnula 265 Kivijärvi 275 Konnevesi 277 Korpilahti 291 Kuhmoinen 312 Kyyjärvi 410 Laukaa 415 Leivonmäki 435 Luhanka 495 Multia 500 Muurame 592 Petäjävesi 601 Pihtipudas 633 Pylkönmäki 729 Saarijärvi 850 Toivakka 892 Uurainen 931 Viitasaari 992 Äänekoski Total Multi-source inventory Field inventory SE of field inventory 3,313 2,906 464 2,363 6,857 1,911 1,510 1,922 4,579 787 1,196 2,761 3,490 4,018 530 3,166 1,938 1,158 2,226 770 2,050 2,865 928 3,472 1,895 1,515 5,058 3,806 69,456 67,778 2,181

67,933 23,460 40,508 68,570 1,592

823 627 112 627 1,794 607 669 1,047 2,015 482 671 770 875 1,074 431 911 571 284 1,017 184 662 1,244 470 1,317 555 539 1,685 1,398

1,034 849 162 875 2,384 919 1,355 2,621 3,362 1,291 1,498 1,041 1,220 1,384 1,205 1,235 905 404 2,220 259 1,118 2,995 1,049 2,298 761 905 2,974 2,187

1,949 1,551 289 1,582 4,383 1,614 2,157 3,951 5,695 1,920 2,323 1,910 2,206 2,582 1,781 2,261 1,557 725 3,452 468 1,886 4,564 1,622 3,833 1,385 1,531 4,955 3,801

1,504 1,396 218 1,109 3,190 912 764 969 2,152 416 606 1,303 1,653 1,831 288 1,492 955 558 1,087 364 982 1,464 458 1,686 917 721 2,504 1,915

32,619 33,414

1,675 1,377 226 1,153 3,334 907 661 838 2,185 311 516 1,338 1,687 2,007 205 1,538 893 545 1,023 373 971 1,211 417 1,621 893 724 2,286 1,705

169 175 24 120 286 85 60 76 144 31 44 136 169 170 20 160 105 68 89 36 97 106 38 160 109 73 218 194

572 610 87 409 1,218 348 377 643 968 345 352 493 599 576 249 550 360 248 579 132 387 897 277 764 372 279 1,159 781 21,483 3,161 14,629 22,390 744

854 914 130 622 1,760 526 542 916 1,397 482 500 733 906 884 350 828 550 370 844 199 589 1,262 400 1,126 562 426 1,660 1,152

11 18 2 11 33 8 5 7 5 3 4 8 17 22 2 13 9 7 6 4 9 10 3 12 9 7 25 13 5,696 285 5,848 359

276 379 53 207 450 162 109 153 223 79 90 217 334 345 51 271 151 149 134 78 167 260 65 248 180 112 449 303 3,522

172 242 34 131 293 100 64 87 127 43 50 133 212 225 28 170 98 95 82 49 105 151 38 148 115 70 274 185

(continued)

164,568 164,587 3,005

6,393 5,749 937 4,773 13,451 4,212 4,318 6,942 11,893 3,268 4,109 5,621 6,936 7,829 2,711 6,525 4,196 2,403 6,656 1,515 4,692 8,950 3,014 8,680 4,022 3,585 12,123 9,062

Appendix 1 269

Pohjois-Savo Municipality 140 Iisalmi 174 Juankoski 204 Kaavi 227 Karttula 239 Keitele 263 Kiuruvesi 297 Kuopio 402 Lapinlahti 420 Leppävirta 476 Maaninka 534 Nilsiä 595 Pielavesi 686 Rautalampi 687 Rautavaara 749 Siilinjärvi 762 Sonkajärvi 778 Suonenjoki 844 Tervo 857 Tuusniemi 915 Varkaus 916 Varpaisjärvi 921 Vesanto 925 Vieremä Total Multi-source inventory Field inventory SE of field inventory

Table 6b (continued)

73,969 71,038 2,105

52,620 18,235 31,296 50,203 1,444

Total

3,171 2,309 3,452 2,492 1,861 3,620 6,563 2,809 7,445 2,535 3,656 4,912 2,542 3,315 1,865 4,171 4,009 1,726 2,855 2,033 2,171 1,921 2,536

539 516 1,104 603 591 922 1,496 493 1,739 423 652 1,157 785 1,063 337 1,170 1,137 429 711 674 422 544 729

Pulpwood

Pine

Logs

1,151 753 1,456 824 1,104 2,509 1,711 1,011 1,833 690 1,130 2,324 1,032 2,785 480 3,264 1,348 626 821 845 849 842 1,910

1,805 1,337 2,694 1,510 1,806 3,699 3,365 1,598 3,746 1,174 1,885 3,717 1,918 4,128 860 4,785 2,616 1,115 1,618 1,582 1,351 1,468 2,841

Total

1,503 997 1,478 1,120 893 1,876 2,797 1,282 3,103 1,134 1,595 2,361 1,207 1,700 818 2,161 1,784 804 1,209 911 1,001 927 1,324

36,238 33,986

1,505 1,209 1,818 1,256 867 1,492 3,482 1,388 4,024 1,288 1,896 2,283 1,215 1,398 965 1,729 2,054 837 1,512 1,026 1,061 900 1,031

(1,000 m3)

Pulpwood

Spruce Logs

91 86 141 129 77 113 316 86 387 85 117 172 148 110 69 123 199 83 148 129 67 97 81

720 437 648 552 493 1,366 1,214 619 1,325 447 726 1,196 568 1,181 340 1,524 738 358 560 370 507 413 972

Pulpwood

Birch Logs

24,447 3,056 17,274 25,375 796

1,000 622 927 792 688 1,869 1,760 859 1,939 628 1,018 1,669 831 1,638 484 2,092 1,075 516 819 575 704 602 1,341

Total

11 9 8 10 7 16 25 9 25 10 14 22 11 10 7 12 15 7 11 13 7 8 7 7,548 275 9,068 523

305 258 331 290 165 404 749 259 761 235 390 479 283 338 212 385 344 191 344 202 210 174 241 4,661

178 159 204 184 102 249 479 156 491 145 236 293 178 209 133 230 216 118 213 109 125 108 144

Logs Pulpwood

158,585 155,684 2,745

6,280 4,526 7,404 5,084 4,520 9,592 12,437 5,526 13,890 4,572 6,950 10,777 5,574 9,419 3,421 11,433 8,045 3,548 5,636 4,392 4,436 4,164 6,959

Other deciduous tree species All tree species Total

270 Appendix 1

5,452 8,106 22,607 3,735 8,382 3,002 10,772 19,927

Kainuu Municipality 105 Hyrynsalmi 205 Kajaani 290 Kuhmo 578 Paltamo 620 Puolanka 697 Ristijärvi 765 Sotkamo 777 Suomussalmi 2,482 1,450 7,186 1,746 4,207 1,830 5,093 7,285

45,247 47,010 1,721

82,349 25,487 52,086 79,661 1,863

1,445 3,627 1,719 5,745 6,924 14,131 915 2,591 2,093 5,639 797 2,013 2,497 7,564 5,724 12,690

2,885 4,370 4,543 4,234 824 2,888 2,004 1,402 6,195 2,312 4,268 2,056 1,153 1,479 2,767 1,865

1,353 2,360 3,655 9,111 1,624 3,125 1,896 4,613 892 1,286 1,475 2,336 1,823 2,319 861 1,225 5,237 11,608 1,121 1,897 1,579 3,970 1,041 2,434 301 455 708 1,112 1,282 2,394 640 1,842

3,942 13,755 4,985 6,905 2,303 4,024 4,348 2,181 17,963 3,159 5,951 3,641 790 1,886 3,847 2,667

Pohjois-Karjala Municipality 45 Eno 146 Ilomantsi 167 Joensuu 176 Juuka 248 Kesälahti 260 Kitee 276 Kontiolahti 309 Outokumpu 422 Lieksa 426 Liperi 541 Nurmes 607 Polvijärvi 632 Pyhäselkä 707 Rääkkylä 848 Tohmajärvi 911 Valtimo Total Multi-source inventory Field inventory SE of field inventory 1,410 2,362 2,323 2,087 469 1,464 1,004 783 3,178 1,205 2,254 1,093 593 715 1,333 1,031

846 414 2,193 598 1,414 616 1,682 2,162

1,447 871 4,389 1,019 2,498 1,073 2,969 4,534

19,162 23,303

1,298 1,704 2,001 1,885 301 1,247 887 529 2,569 963 1,745 830 504 695 1,292 713

216 194 255 171 79 200 113 80 339 169 190 127 70 113 144 93

988 1,630 1,191 1,255 398 908 918 573 2,565 734 1,424 879 337 630 592 683

1,433 2,339 4,253 1,253 2,237 1,059 3,328 3,802

33 34 104 36 63 33 89 70

986 1,658 2,763 902 1,582 761 2,308 2,601

22,868 2,553 15,707 24,071 726

1,405 2,478 1,740 1,807 578 1,352 1,252 757 3,826 1,065 2,094 1,209 482 891 930 1,001

4 8 10 16 3 5 10 3 24 22 11 5 1 7 5 2

142 266 472 152 226 117 446 376

7 10 11 4 7 3 21 14

5,190 136 5,948 407

238 394 324 486 171 310 266 300 657 327 470 435 127 198 237 249

78 172 248 87 124 61 260 233

2,725

112 190 150 259 93 120 138 165 351 196 255 256 84 111 117 126

(continued)

9,509 12,161 34,518 6,887 15,053 6,008 19,639 31,389

155,654 156,690 2,553

8,470 20,997 11,593 13,432 3,876 8,574 7,871 4,641 28,641 6,863 12,784 7,341 2,552 4,454 7,782 5,783

Appendix 1 271

Multi-source inventory Field inventory SE of field inventory

Vaala

Pohjois-Pohjanmaa Municipality 9 Alavieska 69 Haapajärvi 71 Haapavesi 72 Hailuoto 84 Haukipudas 139 Ii 208 Kalajoki 244 Kempele 247 Kestilä 255 Kiiminki 305 Kuusamo 317 Kärsämäki 425 Liminka 436 Lumijoki 483 Merijärvi 494 Muhos 535 Nivala 563 Oulainen 564 Oulu 567 Oulunsalo 603 Piippola 615 Pudasjärvi

785 Total

Table 6b (continued)

1,212 3,643

Pulpwood

Pine

Logs

860 3,082 3,706 733 1,456 4,643 2,384 344 2,411 1,276 15,349 2,731 1,773 596 896 2,591 1,488 1,960 1,091 563 1,946 17,383

171 721 867 173 304 922 403 68 435 248 3,966 563 243 111 175 527 381 439 240 111 353 2,830

624 2,134 2,570 491 1,025 3,298 1,779 241 1,749 919 10,244 1,967 1,315 428 661 1,801 1,010 1,384 767 397 1,427 12,900

87,303 23,327 57,643 84,761 1,720

5,320

Total

285 1,288 1,310 85 507 1,570 555 67 200 409 6,810 763 138 103 407 293 810 1,009 347 141 284 4,696

31,636 32,812 1,461

358

Total 204

91 429 347 26 140 360 120 17 47 105 1,927 206 38 27 123 77 286 335 91 32 67 1,167

170 757 839 54 324 1,055 372 44 129 268 4,363 485 88 68 251 188 471 601 227 95 186 3,103

10,041 19,005

115

(1,000 m3)

Pulpwood

Spruce Logs

245 1,122 1,984 222 508 2,283 752 135 763 334 2,861 1,230 750 320 350 662 566 922 348 185 753 3,569

6 43 37 1 8 24 15 1 9 4 32 26 6 2 5 5 16 13 4 2 9 40

20,898 483 21,812 623

181 836 1,526 151 379 1,708 559 94 537 241 2,046 899 512 219 275 465 439 734 260 134 549 2,513

14,392

832

Pulpwood

Birch Logs

1,192 20

Total 9

42 2 234 8 353 11 42 2 71 4 308 19 76 4 21 1 79 5 37 2 461 6 273 11 88 6 50 2 65 2 76 5 115 4 184 6 55 4 27 1 103 6 397 6

2,319 86 2,521 245

121

26 158 263 30 45 211 41 16 58 22 258 209 68 39 45 56 80 140 37 19 75 234

1,350

87

Logs Pulpwood

1,432 5,726 7,353 1,082 2,542 8,804 3,768 567 3,452 2,056 25,480 4,998 2,749 1,069 1,718 3,622 2,979 4,074 1,842 915 3,086 26,045

142,156 141,906 2,471

6,991

Other deciduous tree species All tree species Total

272 Appendix 1

Multi-source inventory Field inventory SE of field inventory

Pulkkila Pyhäjoki Pyhäsalmi Pyhäntä Raahe Rantsila Reisjärvi Sievi Siikajoki Taivalkoski Tyrnävä Utajärvi Vihanti Yli-Ii Ylikiiminki Ylivieska

Lapland Municipality 47 Enontekiö 148 Inari 240 Kemi 241 Keminmaa 261 Kittilä 273 Kolari 320 Kemijärvi 498 Muonio 583 Pelkosenniemi 614 Posio 683 Ranua

617 625 626 630 678 682 691 746 748 832 859 889 926 972 973 977 Total

4,808 44,386 103 898 15,725 7,532 11,766 6,195 4,741 9,720 8,163

850 3,702 7,056 34,857 11 82 133 670 2,984 11,497 1,593 5,260 2,139 8,551 1,659 4,201 747 3,536 1,967 7,002 1,110 6,102

120,251 24,129 85,774 118,164 2,312

1,656 302 1,218 1,875 338 1,387 5,157 1,035 3,768 3,636 708 2,624 1,850 394 1,299 2,752 439 2,025 2,033 398 1,460 3,060 641 2,161 3,499 632 2,514 7,766 1,733 5,486 1,362 195 1,004 6,399 1,208 4,547 1,745 330 1,254 2,453 428 1,778 3,844 696 2,765 1,903 401 1,353

405 3,079 187 1,240 6,154 2,029 2,117 1,285 1,378 2,919 1,906

35,035 39,166 1,749

305 632 1,941 379 640 325 430 555 597 3,946 86 608 431 519 771 791

196 413 1,180 247 400 210 235 312 394 2,553 55 392 272 361 519 459

93 812 64 330 1,186 236 324 292 204 685 226

278 2,076 110 793 4,351 1,466 1,532 879 989 2,003 1,401

9,711 22,334

81 154 597 93 189 81 159 195 151 1,121 22 142 122 95 176 275

8 15 54 13 10 9 21 26 9 29 4 19 7 6 7 14

3,294 7,296 148 1,144 5,804 1,980 2,052 989 1,510 1,395 1,739

0 0 1 14 35 16 11 5 5 11 6

36,454 560 37,967 1,012

649 901 2,057 989 837 974 484 762 1,360 1,752 445 1,298 660 734 965 724

1,017 3,403 109 836 4,039 1,334 1,343 587 967 986 1,106

26,568

475 696 1,522 694 636 695 338 548 967 1,209 304 942 494 525 706 557

6 10 10 5 14 7 3 6 8 3 3 7 7 3 6 6

18 108 18 97 264 124 112 47 108 144 114

0 0 0 1 15 1 4 0 5 1 2

5,347 225 5,789 384

95 150 298 116 176 113 95 110 198 262 40 131 107 70 96 136

1 48 10 57 133 68 43 25 60 66 59

3,605

71 94 190 82 118 83 48 59 153 160 30 97 74 46 73 96

(continued)

8,526 54,870 456 3,379 27,947 11,666 16,047 8,516 7,736 14,177 11,922

197,088 201,086 3,274

2,705 3,558 9,453 5,120 3,502 4,164 3,042 4,486 5,654 13,727 1,933 8,437 2,944 3,775 5,675 3,554

Appendix 1 273

698 732 742 751 758 845 851 854 890 976 Total

Multi-source inventory Field inventory SE of field inventory

Rovaniemi Salla Savukoski Simo Sodankylä Tervola Tornio Pello Utsjoki Ylitornio

Table 6b (continued)

4,069 2,671 3,598 629 5,131 398 182 993 6 879

16,885 10,856 14,318 2,216 19,138 2,373 1,195 3,588 282 3,654

Pulpwood

Pine

Logs

215,938 38,807 159,964 213,387 4,772

23,234 14,676 19,320 3,267 26,030 3,141 1,557 5,114 329 5,230

Total

60,075 64,963 2,584

6,475 7,055 5,844 1,354 7,970 2,640 2,372 1,743 29 1,893

Total 4,803 4,701 3,893 941 5,558 1,870 1,590 1,269 22 1,386

11,759 41,910

755 1,706 1,450 246 1,742 435 551 202 5 215

(1,000 m3)

Pulpwood

Spruce Logs 48 30 21 21 11 18 30 11 0 19 35,496

3,393 2,634 2,181 1,488 4,383 1,378 1,437 1,085 268 1,523

Pulpwood

Birch Logs

56,982 312 58,913 1,747

4,914 3,794 3,128 2,071 6,551 1,970 2,008 1,605 1,351 2,240

Total

2,947 84 3,381 287

364 8 370 18 149 2 119 2 182 11 160 6 183 4 135 1 7 0 125 2 1,565

198 208 58 79 82 103 111 76 0 79

Logs Pulpwood

335,942 340,643 5,372

34,987 25,895 28,441 6,810 40,734 7,912 6,121 8,596 1,716 9,488

Other deciduous tree species All tree species Total

274 Appendix 1

9.3

73.1 69.6 3.4

81.6 49.2 78.1 33.0

Rannikko/Etelärannikko Municipality 40 Dragsfjärd 49 Espoo-Esbo 78 Hanko-Hangö 91 Helsinki-Helsingfors

27.2 22.0 24.8 13.0

1.3 10.3 9.4 10.1 9.5 9.4 10.2 6.8 5.5 9.3 10.9 6.7 10.9 6.1 10.1 9.9

34.5 79.3 72.0 76.7 80.1 75.0 75.4 61.4 33.6 70.3 82.4 61.1 85.7 50.0 78.0 79.1

Logs

Åland Municipality 35 Brändö 43 Eckerö 60 Finström 62 Föglö 65 Geta 76 Hammarland 170 Jomala 295 Kumlinge 318 Kökar 417 Lemland 438 Lumparland 478 Mariehamn 736 Saltvik 766 Sottunga 771 Sund 941 Vårdö Total Multi-source inventory Field inventory SE of field inventory

Total

Pine

51.0 25.6 51.1 18.8

61.7

31.3 66.7 60.6 64.4 68.4 63.4 63.1 52.2 26.5 59.1 69.4 52.4 72.5 42.1 65.8 67.0

Pulpwood

44.4 71.2 30.8 49.5

35.1 33.0 3.0

1.5 40.2 40.3 31.1 37.2 39.3 42.3 13.3 7.1 40.4 38.5 26.0 42.1 15.8 39.1 34.5

Total

17.5 36.5 9.5 23.0

8.8

0.2 10.2 10.5 8.1 9.0 9.8 10.9 2.8 0.5 10.6 9.7 5.9 10.6 3.8 9.6 8.3

Logs

24.7 31.0 19.5 23.3

23.5

1.3 26.4 26.7 20.7 25.0 26.2 28.1 9.5 6.2 26.6 25.6 17.9 28.2 10.9 26.4 23.2

(m3/ha)

Pulpwood

Spruce

11.7 29.0 22.2 35.1

17.9 17.3 1.3

27.1 17.9 18.5 14.6 14.7 19.2 18.4 19.8 23.5 20.4 14.6 15.9 15.2 18.3 16.8 14.3

Total

2.1 8.6 3.6 9.3

0.5

0.0 0.5 0.7 0.3 0.5 0.6 0.7 0.2 0.0 0.7 0.5 0.5 0.5 0.2 0.6 0.3

Logs

8.4 17.7 16.4 21.0

14.6

23.2 14.7 15.1 11.8 11.8 15.8 15.0 16.3 18.7 16.7 11.8 13.0 12.3 14.4 13.6 11.5

Pulpwood

Birch

Table 7a The mean volume of growing stock by tree species and roundwood assortment on forest land (By forestry centres).

5.1 15.6 7.2 19.6

12.4 14.8 1.9

28.9 8.7 11.2 13.5 7.4 11.0 11.6 21.1 28.8 12.8 9.7 12.0 8.2 18.8 10.2 9.5

Total

0.6 2.8 2.4 2.6

0.3

0.2 0.2 0.2 0.3 0.1 0.2 0.3 0.5 0.7 0.4 0.3 0.2 0.2 0.4 0.3 0.2

Logs

2.8 9.5 4.1 12.3

9.2

18.2 7.0 8.9 9.1 5.8 8.9 9.2 14.5 19.1 10.1 7.3 9.2 6.3 12.6 7.9 7.0

Pulpwood

(continued)

142.8 165.0 138.3 137.2

138.5 134.7 5.3

92.1 146.2 141.9 136.0 139.4 144.5 147.7 115.6 93.0 143.9 145.1 115.1 151.2 102.9 144.2 137.4

Other deciduous tree species All tree species

Appendix 1 275

58.8 57.8 2.5

Multi-source inventory Field inventory SE of field inventory

27.1 44.4 30.2

32.5 86.1 62.1 96.5 53.3 53.2 77.4 53.1 79.5 37.8 40.2 58.9 81.1 73.1 46.5 66.4 46.1 47.4 44.7 49.7 70.0 77.0

Total

Vantaa-Vanda Houtskär-Houtskari Ingå-Inkoo Iniö Karis-Karjaa Kauniainen-Grankulla Kimito-Kemiö Kirkkonummi-Kyrkslätt Korpo-Korppoo Lapinjärvi-Lappträsk Liljendal Loviisa-Lovisa Nagu-Nauvo Pargas-Parainen Pernå-Pernaja Pohja-Pojo Porvoo-Borgå Ruotsinpyhtää-Strömfors Sipoo-Sibbo Siuntio-Sjundeå Ekenäs-Tammisaari Västanfjärd

Rannikko/Pohjanmaa Municipality 231 Kaskinen-Kaskö 272 Kokkola-Karleby 280 Korsnäs

92 101 149 150 220 235 243 257 279 407 424 434 533 573 585 606 638 701 753 755 835 923 Total

Table 7a (continued)

6.7 9.9 8.5

21.2

12.9 24.3 26.8 35.8 19.9 21.7 30.4 24.2 23.0 14.6 15.1 21.9 22.7 25.7 15.7 22.5 15.0 15.9 16.8 24.0 23.5 29.7

Logs

Pine

18.8 31.5 19.4

35.4

18.2 57.9 33.3 57.5 31.5 29.6 44.1 27.3 53.0 21.7 23.3 34.4 54.9 44.3 28.6 41.4 29.3 29.5 26.4 24.2 44.1 44.5

Pulpwood

56.7 34.0 45.7

61.1 61.3 3.1

71.3 30.4 75.8 31.3 63.5 57.3 45.8 69.8 29.2 88.8 83.8 71.4 31.8 33.7 72.3 47.1 78.4 66.7 82.5 89.6 45.9 45.6

Total

Pulpwood

17.6 10.4 14.0

26.8

32.3 11.1 37.6 10.7 28.7 29.6 20.1 37.3 11.0 38.1 35.9 30.7 10.9 13.2 30.6 18.8 32.7 26.0 36.8 48.3 18.5 19.7

36.0 21.6 28.5

31.0

34.7 17.9 34.5 18.7 31.6 24.5 23.5 29.0 16.6 46.0 43.6 36.9 19.3 18.7 37.7 25.6 41.2 36.7 40.9 37.0 25.0 23.6

(m3/ha)

Logs

Spruce

18.7 21.5 25.8

20.7 23.2 1.3

35.1 5.7 24.8 6.6 26.3 32.3 12.1 26.4 7.3 23.2 21.4 21.8 13.4 13.8 22.5 15.4 22.9 25.9 28.1 23.7 16.0 12.4

Total

1.2 1.0 2.0

4.5

9.2 0.9 7.5 0.8 7.0 9.5 2.4 7.8 0.9 4.4 3.9 4.1 1.3 2.3 3.8 3.2 4.4 4.6 6.7 6.4 3.0 2.7

Logs

13.9 16.9 19.2

13.8

21.5 3.7 15.2 4.9 17.2 20.2 8.0 16.2 5.3 16.3 14.9 16.3 10.6 9.7 16.5 10.1 15.7 19.5 18.0 15.0 10.8 8.1

Pulpwood

Birch

6.2 3.1 2.5

7.7 10.5 0.9

18.5 4.4 7.2 6.5 8.5 14.5 4.3 11.9 4.7 5.0 5.0 4.3 4.8 6.1 5.6 4.9 8.2 5.5 11.2 11.4 5.6 3.7

Total

0.0 0.2 0.2

1.4

2.1 1.1 2.8 1.9 2.5 2.4 0.8 3.0 0.6 0.8 0.8 0.5 0.2 0.6 0.9 1.1 1.1 0.7 1.3 3.5 1.3 0.6

Logs

4.1 2.1 1.7

4.8

12.5 3.1 3.4 4.5 4.6 8.8 2.6 6.3 3.5 3.1 3.1 3.0 3.4 3.7 3.8 3.2 6.1 3.8 8.2 5.5 3.5 2.2

Pulpwood

108.7 103.1 104.1

148.2 152.9 3.6

157.4 126.5 169.8 140.9 151.7 157.2 139.7 161.1 120.7 154.8 150.4 156.4 131.0 126.6 146.9 133.8 155.6 145.6 166.5 174.5 137.4 138.7

Other deciduous tree species All tree species

276 Appendix 1

Multi-source inventory Field inventory SE of field inventory

KristinestadKristiinankaupunki Kronoby-Kruunupyy Larsmo-Luoto Malax-Maalahti Korsholm-Mustasaari Närpes-Närpiö Oravais-Oravainen Jakobstad-Pietarsaari Pedersöre-Pedersören kunta Nykarleby-Uusikaarlepyy Vaasa-Vasa Vörå-Maxmo-VöyriMaksamaa

Lounais-Suomi Municipality 6 Alastaro 17 Askainen 19 Aura 50 Eura 51 Eurajoki 73 Halikko 79 Harjavalta 99 Honkajoki 102 Huittinen 181 Jämijärvi 202 Kaarina 214 Kankaanpää 230 Karvia 252 Kiikala 254 Kiikoinen

Total

288 440 475 499 545 559 598 599 893 905 945

287

57.86 88.8 66.8 64.4 65.3 74.7 59.2 64.2 47.8 58.1 72.9 58.2 62.5 65.9 51.5

38.7 37.6 1.5

53.8 40.9 30.8 26.1 37.5 36.5 38.1 48.1 40.8 28.9 33.0

39.6

22.78 37.8 31.8 25.2 26.7 32.7 19.6 18.9 17.0 20.5 29.8 18.3 17.6 31.0 18.3

10.0

12.5 9.5 8.0 7.9 11.5 8.7 7.4 11.6 9.1 9.3 8.2

11.8

33.08 48.2 32.7 36.7 36.0 39.5 37.1 42.0 29.0 34.4 40.5 36.8 41.9 32.9 30.5

26.0

37.5 28.7 20.3 16.7 23.7 25.6 28.3 33.2 28.8 18.1 22.8

25.2

66.69 37.4 62.7 57.0 59.7 56.5 55.2 12.5 77.7 42.6 41.6 35.3 14.8 68.3 63.6

42.5 45.1 2.0

29.4 30.2 39.1 55.4 53.9 36.5 28.1 28.8 28.3 62.6 50.1

56.2

31.73 13.7 29.0 25.1 25.2 25.3 23.2 4.5 35.8 19.9 17.6 16.5 5.4 33.2 30.2

13.8

9.7 9.5 13.4 20.5 17.2 11.1 7.0 8.5 7.6 21.8 17.6

17.4

31.28 21.2 30.5 28.4 30.8 28.8 28.4 7.1 37.3 20.2 22.0 16.7 8.4 31.9 29.7

26.1

18.1 18.9 23.0 32.3 33.6 22.8 18.6 18.3 18.1 37.9 29.4

35.6

19.31 10.9 14.2 18.1 17.9 14.5 20.6 14.1 24.2 17.2 11.7 15.9 13.7 15.7 18.5

19.9 18.9 0.9

17.2 18.2 23.7 19.5 19.2 22.1 25.2 18.3 19.4 21.4 22.1

18.1

2.33 1.7 2.2 2.1 1.7 3.1 2.2 0.8 3.1 2.0 2.0 1.6 0.8 2.6 2.5

1.3

0.8 0.9 1.7 1.3 1.3 1.6 1.4 1.0 1.1 1.8 2.0

1.5

13.62 7.6 9.2 12.6 12.6 9.2 14.6 10.7 17.0 12.6 7.8 11.8 10.2 10.4 13.5

15.1

13.3 13.9 17.5 14.5 14.4 16.5 19.8 14.2 14.8 16.4 16.0

13.8

4.17 7.4 6.5 4.1 5.1 6.9 3.4 2.1 3.6 3.7 7.5 2.7 2.1 5.5 3.3

3.3 4.1 0.5

1.7 3.3 3.6 5.4 3.0 3.1 3.6 2.1 1.9 5.8 5.4

3.4

0.46 0.9 1.1 0.6 0.7 1.0 0.4 0.3 0.4 0.3 0.9 0.2 0.3 0.9 0.3

0.3

0.1 0.3 0.5 0.4 0.3 0.3 0.3 0.2 0.1 0.3 0.5

0.5

2.82 5.2 4.7 2.8 3.6 4.6 2.3 1.5 2.3 2.7 4.9 1.9 1.5 3.8 2.3

2.4

1.2 2.1 2.5 4.3 2.0 2.2 2.5 1.5 1.4 4.7 4.1

2.3

(continued)

148.03 144.4 150.2 143.6 148.0 152.6 138.4 92.9 153.3 121.7 133.7 112.1 93.2 155.5 136.9

104.3 105.7 2.8

102.1 92.6 97.2 106.4 113.5 98.2 95.0 97.2 90.4 118.7 110.7

117.2

Appendix 1 277

259 262 271 284 304 308 319 400 406 413 419 423 430 442 480 481 482 484 485 501 503 529 531 537 538 561 577 586 587 602 608

Kisko Kiukainen Kokemäki Koski Tl Kustavi Kuusjoki Köyliö Laitila Lappi Lavia Lemu Lieto Loimaa Luvia Marttila Masku Mellilä Merikarvia Merimasku Muurla Mynämäki Naantali Nakkila Noormarkku Nousiainen Oripää Paimio Perniö Pertteli Piikkiö Pomarkku

Table 7a (continued)

67.9 58.1 60.4 50.3 90.1 61.2 64.6 71.9 70.3 54.1 70.8 74.7 51.0 60.0 59.4 68.2 51.7 56.5 95.8 73.6 63.5 88.9 50.9 50.6 70.8 69.7 79.2 77.1 68.9 77.3 56.0

Total

31.8 23.0 21.8 21.4 37.5 28.4 25.4 29.2 28.2 19.9 29.4 34.7 21.7 23.8 25.9 28.3 19.3 17.6 41.0 34.8 24.9 37.4 18.6 20.1 30.4 28.8 34.9 36.2 32.8 33.3 22.6

Logs

Pine

33.9 32.8 35.9 27.4 50.1 30.9 36.9 40.0 39.3 31.3 38.7 37.6 27.6 33.0 31.5 37.2 30.5 34.7 51.9 36.4 36.0 48.7 30.0 28.2 38.1 38.4 41.8 38.5 34.0 41.4 31.0

Pulpwood 63.5 64.1 58.7 90.7 30.6 80.6 54.7 53.4 52.6 54.9 39.6 58.3 91.0 79.7 69.3 47.6 76.7 47.3 34.9 60.0 51.1 36.6 71.2 68.4 62.6 50.1 49.8 60.5 64.5 48.9 76.6

Total

Pulpwood

29.9 26.5 25.8 46.5 9.8 38.9 25.0 22.9 23.0 24.3 16.3 27.3 47.0 34.4 33.0 20.1 38.7 19.2 12.3 27.9 22.8 13.8 30.8 31.5 30.1 23.1 22.1 28.4 30.2 21.8 36.6

30.4 33.4 29.4 39.7 18.6 37.9 26.5 27.2 26.3 27.1 21.1 28.1 39.7 40.0 32.7 24.8 33.8 24.9 20.0 29.1 25.3 20.6 35.7 33.0 29.2 24.2 25.6 29.3 31.1 25.1 35.9

(m3/ha)

Logs

Spruce

15.8 20.2 18.5 20.0 11.2 17.1 17.8 15.2 14.6 19.4 11.0 12.2 19.3 25.2 17.5 12.6 20.1 17.9 10.9 15.2 16.3 9.7 24.4 20.6 14.2 16.2 12.2 14.6 14.9 11.1 18.9

Total 2.8 2.2 2.3 2.4 2.2 2.6 2.2 1.5 1.5 2.5 1.2 1.8 2.3 2.0 2.4 1.4 2.2 1.9 2.1 2.6 1.9 1.6 2.4 2.5 1.9 2.2 2.2 2.7 2.5 2.0 2.4

Logs 10.2 14.3 12.9 14.1 7.6 11.6 12.5 10.4 10.2 14.2 7.9 8.1 13.7 18.7 11.9 8.8 14.1 12.9 7.5 9.7 11.4 6.8 17.8 15.1 9.8 11.1 8.1 9.3 9.7 7.4 13.9

Pulpwood

Birch

6.3 4.7 3.1 4.2 10.9 5.9 3.5 4.0 3.9 3.5 4.9 5.6 4.2 3.7 5.4 5.9 3.8 3.5 9.2 6.2 4.3 6.8 3.7 3.0 3.5 4.2 5.2 5.7 6.3 5.7 3.0

Total 1.1 0.7 0.4 0.4 2.2 0.9 0.5 0.6 0.5 0.3 0.6 0.9 0.5 0.6 0.7 0.8 0.4 0.3 1.6 1.0 0.6 0.9 0.5 0.4 0.5 0.6 0.6 1.0 1.1 0.7 0.3

Logs 4.3 3.3 2.1 2.7 7.4 4.0 2.4 2.8 2.6 2.5 3.3 4.0 2.7 2.6 3.8 4.1 2.4 2.5 6.7 4.3 3.0 4.8 2.5 2.1 2.3 3.0 3.5 4.0 4.3 3.8 2.0

Pulpwood 153.5 147.1 140.6 165.2 142.9 164.7 140.6 144.5 141.3 131.9 126.2 150.8 165.5 168.5 151.6 134.4 152.2 125.1 150.7 154.9 135.2 142.1 150.2 142.6 151.0 140.2 146.4 157.9 154.5 143.1 154.5

Other deciduous tree species All tree species

278 Appendix 1

63.4 64.4 1.3

Multi-source inventory Field inventory SE of field inventory

40.3 41.8 42.0 42.0 41.1

49.9 76.6 63.5 72.6 73.9 68.3 93.8 69.4 73.8 57.4 53.2 61.7 69.3 74.1 91.8 65.1 70.6 52.7 73.7 67.8 50.1 75.1 93.9 65.4

Pori Pyhäranta Pöytyä Raisio Rauma Rusko Rymättylä Salo Sauvo Siikainen Somero Suomusjärvi Säkylä Särkisalo-Finby Taivassalo Tarvasjoki Turku-Åbo Ulvila Uusikaupunki Vahto Vampula Vehmaa Velkua Yläne

Häme-Uusimaa Municipality 15 Artjärvi 16 Asikkala 18 Askola 61 Forssa 81 Hartola

609 631 636 680 684 704 705 734 738 747 761 776 783 784 833 838 853 886 895 906 913 918 920 979 Total

19.3 22.7 22.1 19.0 20.4

25.0

18.9 32.8 28.7 31.0 30.5 28.8 38.1 31.5 30.7 18.1 22.6 28.0 28.2 33.3 38.3 30.5 29.5 19.6 30.2 28.7 19.7 30.9 37.1 26.0

19.1 17.6 18.6 21.6 19.5

35.8

28.3 41.4 32.6 38.9 40.6 36.7 53.0 35.4 40.4 35.7 28.8 31.6 38.7 38.2 50.7 32.5 38.5 30.5 40.6 36.7 28.6 41.4 54.4 36.9

83.0 82.8 95.4 92.0 76.1

55.1 57.1 1.8

67.9 55.5 63.8 42.6 50.8 49.8 31.3 56.8 43.8 42.9 82.1 67.3 52.7 60.1 31.3 65.8 41.3 60.8 37.0 61.3 80.0 35.6 24.2 54.4

39.9 43.4 45.0 48.0 35.9

24.8

29.2 22.9 29.6 18.5 20.9 21.6 11.3 25.7 18.6 18.5 40.9 34.0 24.5 27.1 10.9 29.9 17.6 26.1 14.3 29.1 36.9 13.9 7.2 25.1

38.3 35.7 45.6 39.4 36.8

27.2

34.3 29.2 30.8 21.9 26.8 25.5 18.0 28.2 23.0 21.6 37.2 30.3 25.2 30.2 18.2 32.5 21.6 30.8 20.4 28.9 38.8 19.7 15.6 26.3

17.1 23.6 22.2 19.4 29.3

16.9 17.3 0.6

22.4 15.2 16.3 11.1 14.8 12.0 8.5 15.2 11.7 17.8 20.8 15.3 15.7 13.6 10.0 14.9 12.2 21.5 12.3 15.9 24.0 11.4 8.6 17.3

4.0 5.9 6.1 3.3 6.6

2.1

2.2 1.7 2.5 1.7 1.5 1.4 1.5 2.5 1.9 2.0 3.0 2.6 2.0 3.0 1.8 2.4 1.8 2.6 1.3 2.2 3.3 1.3 1.9 2.2

10.8 15.1 13.7 13.4 19.9

11.9

16.3 10.4 11.0 7.6 10.3 8.4 5.9 9.7 7.9 12.9 14.4 10.2 11.0 8.5 6.8 9.7 8.2 15.7 8.7 11.0 16.9 8.1 5.8 12.1

6.5 9.4 6.4 2.4 9.5

4.4 4.6 0.4

3.8 4.9 5.7 7.2 5.2 6.3 7.9 6.5 5.7 3.6 5.7 5.9 3.7 7.5 7.7 7.1 7.4 3.1 5.4 3.9 4.2 5.4 10.5 3.7

0.6 1.2 1.0 0.4 1.1

0.6

0.5 0.7 0.9 1.1 0.7 0.9 1.3 1.1 0.7 0.3 0.8 0.9 0.5 1.1 1.2 1.3 1.1 0.3 0.6 0.5 0.5 0.6 2.1 0.5

4.3 6.1 3.9 1.7 5.5

3.0

2.7 3.4 4.1 4.6 3.6 4.4 5.5 4.5 3.8 2.5 3.7 4.0 2.5 5.0 5.4 5.1 4.9 2.2 3.7 2.7 2.8 3.5 7.3 2.6

(continued)

146.9 157.6 166.1 155.8 155.9

139.8 143.4 2.1

144.0 152.2 149.4 133.4 144.7 136.4 141.5 147.8 135.0 121.7 161.8 150.3 141.3 155.3 140.8 152.9 131.5 138.1 128.4 148.9 158.3 127.5 137.1 140.8

Appendix 1 279

82 83 86 98 103 106 109 111 165 169 186 210 223 224 245 283 316 398 401 433 444 504 505 532 540 543 560 576 611 616

Hattula Hauho Hausjärvi Hollola Humppila Hyvinkää Hämeenlinna Heinola Janakkala Jokioinen Järvenpää Kalvola Karjalohja Karkkila Kerava Hämeenkoski Kärkölä Lahti Lammi Loppi Lohja-Lojo Myrskylä-Mörskom Mäntsälä Nastola Nummi-Pusula Nurmijärvi Orimattila Padasjoki Pornainen Pukkila

Table 7a (continued)

44.0 39.4 41.5 35.1 38.7 43.9 40.2 56.1 39.1 47.2 25.8 41.3 52.4 44.4 30.5 29.3 33.0 35.0 33.9 43.2 48.2 43.2 36.9 46.8 47.8 37.3 37.4 45.0 37.4 33.3

Total

18.7 20.0 17.9 18.3 16.9 17.8 18.1 28.4 17.8 21.8 11.0 16.5 21.5 19.6 14.4 13.9 14.3 18.9 16.2 18.6 22.3 21.1 16.2 25.2 20.3 15.0 18.7 24.6 18.9 16.1

Logs

Pine

23.7 18.4 21.9 15.4 20.7 24.0 20.7 25.4 19.9 24.0 13.4 23.1 28.8 23.1 14.4 14.0 17.1 14.9 16.5 22.9 24.3 20.4 19.2 20.0 25.7 20.3 17.1 18.9 17.1 15.9

Pulpwood 71.8 109.4 92.4 90.6 103.5 86.2 81.3 56.7 95.8 98.1 80.7 79.7 63.5 90.8 82.9 101.7 100.7 69.3 95.3 89.5 77.3 86.2 110.2 61.4 73.9 87.1 80.3 90.9 87.3 88.2

Total

Pulpwood

34.4 59.6 50.2 48.1 51.6 46.4 41.1 25.9 51.8 50.8 40.8 38.2 33.3 49.2 37.1 53.3 54.1 35.1 50.6 48.5 42.4 39.7 59.9 30.3 37.4 45.3 41.9 51.0 40.0 45.0

33.2 45.4 38.3 38.2 47.9 36.0 36.0 28.1 39.8 42.8 36.0 37.2 27.7 37.5 41.2 43.7 42.5 30.3 40.1 37.1 31.5 41.6 45.9 28.1 32.9 37.9 34.3 35.6 42.9 38.9

(m3/ha)

Logs

Spruce

26.8 19.3 18.5 15.7 22.8 20.0 25.5 23.7 21.4 18.9 21.6 24.6 18.3 21.4 25.5 17.4 19.1 16.0 17.0 21.3 21.0 21.8 18.5 17.6 20.2 22.2 15.2 21.4 23.1 20.3

Total 5.7 3.8 3.9 2.9 3.1 4.3 5.3 5.7 4.0 3.0 3.8 4.4 3.1 4.7 5.2 2.8 3.9 3.1 2.6 4.6 4.0 5.4 4.4 4.0 3.8 4.8 3.3 4.4 5.1 4.4

Logs 18.0 13.5 12.2 10.4 17.1 13.1 17.3 15.1 14.8 13.3 13.9 17.3 12.0 14.5 16.2 12.3 12.6 9.8 12.4 14.2 14.3 13.8 11.8 10.8 13.9 14.6 9.5 14.9 14.7 13.1

Pulpwood

Birch

3.0 8.7 6.2 8.1 2.3 6.5 6.3 7.2 5.9 3.0 11.7 1.7 3.2 6.0 12.3 6.4 6.4 14.3 5.7 4.6 8.3 5.6 5.9 10.6 4.5 11.2 6.8 6.2 8.2 7.3

Total 0.6 1.1 1.2 1.1 0.3 1.1 0.9 0.7 1.0 0.4 1.4 0.2 0.5 0.8 1.0 1.0 0.8 1.6 0.8 0.7 1.2 0.8 0.8 1.3 0.7 1.6 0.8 0.9 1.3 1.0

Logs 1.9 6.6 3.5 5.1 1.7 3.9 4.4 4.4 3.8 2.1 5.8 1.1 2.1 4.1 7.5 4.1 3.8 9.1 3.8 3.2 4.9 3.3 3.3 6.6 3.1 7.1 4.2 4.1 4.6 4.1

Pulpwood 145.6 176.8 158.6 149.5 167.3 156.5 153.2 143.7 162.0 167.1 139.8 147.3 137.3 162.6 151.2 154.7 159.2 134.6 152.0 158.6 154.7 156.8 171.4 136.4 146.4 157.7 139.8 163.5 155.9 149.0

Other deciduous tree species All tree species

280 Appendix 1

42.6 40.8 1.3

Multi-source inventory Field inventory SE of field inventory

40.7 59.9 43.9 54.7 74.3 58.3 54.5 44.2 47.6 57.5 64.1 63.0 60.1 54.1 50.3 58.1 72.4 78.6 56.0 82.3

49.5 37.3 50.9 46.7 49.2 32.9 33.6 46.0 47.2

Renko Riihimäki Sammatti Sysmä Tammela Tuulos Tuusula Vihti Ypäjä

Kaakkois-Suomi Municipality 44 Elimäki 75 Hamina 142 Iitti 153 Imatra 163 Jaala 173 Joutseno 285 Kotka 286 Kouvola 306 Kuusankoski 405 Lappeenranta 416 Lemi 441 Luumäki 489 Miehikkälä 580 Parikkala 624 Pyhtää-Pyttis 689 Rautjärvi 700 Ruokolahti 739 Savitaipale 754 Anjalankoski 775 Suomenniemi

692 694 737 781 834 855 858 927 981 Total

16.7 19.9 16.0 25.5 31.8 28.2 21.1 13.1 15.3 22.1 28.8 21.1 18.0 23.6 20.1 27.1 30.3 32.0 18.3 37.5

20.2

22.8 15.8 21.4 24.4 20.4 15.8 14.0 19.7 22.6

22.3 37.1 25.7 27.2 39.1 28.1 30.7 28.8 29.9 32.5 32.7 38.6 38.6 28.0 27.8 28.9 38.8 42.8 34.8 41.0

20.9

25.0 19.9 27.5 20.8 27.0 16.0 17.8 24.3 23.5

84.7 59.8 69.4 63.6 46.5 62.9 55.3 50.7 61.8 67.5 63.0 61.0 57.4 41.3 62.1 55.5 45.6 46.3 61.4 31.9

84.5 83.8 2

86.8 94.3 61.7 74.6 78.6 96.5 93.5 84.2 100.8

40.4 25.9 32.1 28.6 19.5 29.4 24.4 21.1 26.9 33.7 31.8 27.9 24.6 16.4 27.7 25.9 20.7 21.3 26.2 13.6

43.7

47.6 52.3 31.5 35.5 40.2 51.7 47.2 44.3 50.1

40.2 30.8 33.6 32.1 24.4 30.6 27.8 26.6 31.5 30.8 28.4 30.1 29.6 22.4 30.9 26.7 22.4 22.7 31.9 16.5

36.8

35.4 38.0 27.5 35.5 34.2 40.5 42.1 35.8 46.1

18.0 13.1 18.9 23.7 23.5 24.8 19.7 18.4 20.0 16.9 22.0 14.9 11.1 19.7 23.5 22.9 19.9 21.7 14.7 20.0

21.5 21.9 0.7

21.5 21.0 19.0 29.7 20.7 16.8 22.8 23.2 20.8

3.4 2.2 3.4 5.2 4.1 5.6 3.5 3.0 3.3 3.3 4.8 2.8 1.7 3.5 4.9 4.8 4.4 5.0 2.6 4.9

4.6

5.2 4.4 3.3 7.1 3.6 2.8 4.7 5.2 3.3

12.2 9.0 12.7 15.7 16.6 16.4 13.8 12.4 13.6 11.6 14.7 10.3 7.9 13.3 16.0 15.3 13.1 14.3 10.1 13.0

14.4

13.9 13.9 12.8 20.0 14.6 12.0 14.8 15.6 14.6

5.6 3.4 6.0 7.9 6.1 8.8 5.7 5.9 6.1 4.9 6.8 3.3 2.4 8.1 6.4 8.0 4.4 4.0 3.7 3.8

6.8 8.4 0.5

2.7 8.1 3.7 10.6 2.5 5.5 10.9 11.3 3.3

0.7 0.4 0.7 1.1 0.5 1.3 0.5 0.6 0.6 0.7 0.9 0.4 0.3 0.4 0.6 0.8 0.4 0.3 0.5 0.2

0.9

0.5 1.6 0.6 1.3 0.3 0.8 1.4 1.6 0.4

3.7 2.2 3.9 4.3 4.3 4.9 3.9 3.7 3.9 3.0 4.3 2.2 1.6 4.6 4.3 4.5 2.5 2.7 2.4 2.3

4.3

1.8 4.9 2.3 6.8 1.8 3.8 6.7 7.7 2.3

(continued)

149.0 136.2 138.1 149.8 150.5 154.9 135.2 119.2 135.5 146.8 155.8 142.2 131.1 123.1 142.3 144.4 142.2 150.6 135.7 138.0

155.4 155 2.1

160.5 160.6 135.3 161.6 150.9 151.7 160.7 164.7 172.1

Appendix 1 281

62.4 62.1 1.6

Multi-source inventory Field inventory SE of field inventory

36.1 38.3 51.3 43.2 40.3 64.9 38.8 59.4 44.9 34.4 41.9 45.3 39.1 41.3 63.0 34.2 50.4 40.0 52.0 39.6 45.1

77.7 68.1 60.3 59.0

Total

Taipalsaari Valkeala Virolahti Ylämaa

Pirkanmaa Municipality 20 Akaa 108 Hämeenkyrö 143 Ikaalinen 177 Juupajoki 211 Kangasala 250 Kihniö 289 Kuhmalahti 303 Kuru 310 Kylmäkoski 418 Lempäälä 493 Mouhijärvi 506 Mänttä 536 Nokia 562 Orivesi 581 Parkano 604 Pirkkala 619 Punkalaidun 635 Pälkäne 702 Ruovesi 837 Tampere 887 Urjala

831 909 935 978 Total

Table 7a (continued)

13.9 15.4 19.0 18.2 17.1 18.5 16.5 21.2 18.1 15.1 15.9 19.6 16.5 16.9 20.0 15.3 20.7 17.9 22.0 16.5 18.8

24.2

36.5 24.7 19.1 17.5

Logs

Pine

20.4 21.1 29.8 23.2 21.5 42.9 20.8 35.5 24.9 17.8 23.8 23.8 20.7 22.6 39.7 17.4 28.0 20.8 27.9 21.3 24.4

35.2

38.1 39.9 37.5 37.7

Pulpwood

67.6 75.3 55.1 77.4 73.4 23.4 83.8 53.8 77.8 88.6 69.5 78.0 76.1 78.5 27.2 81.9 92.0 92.6 76.6 83.7 80.8

55.3 57.1 2

41.1 52.5 49.0 58.7

Total

Pulpwood

29.6 33.7 25.5 37.4 33.2 9.0 38.8 24.2 36.9 40.4 30.4 37.2 33.8 37.0 11.5 36.7 47.0 43.5 37.0 39.5 39.1

24.8

18.4 22.8 20.6 25.6

33.7 37.2 26.4 35.8 35.8 12.6 40.2 26.4 36.4 43.1 34.7 36.5 37.8 37.1 13.8 40.5 40.4 44.0 35.7 39.6 37.3

27.5

20.5 26.9 25.6 29.8

(m3/ha)

Logs

Spruce

23.8 23.9 18.0 20.4 23.5 18.4 25.2 17.5 20.8 23.8 19.4 26.1 20.4 19.6 15.4 23.6 19.2 25.4 18.2 22.0 20.8

18.1 17.8 0.7

24.2 16.6 10.1 12.7

Total

3.1 2.7 2.0 2.7 3.2 1.4 3.8 1.8 2.9 3.0 2.3 3.2 2.6 2.7 1.3 2.9 2.2 4.2 2.4 2.8 2.8

3.5

5.5 2.9 1.5 1.9

Logs

17.3 17.9 13.3 14.9 17.0 13.9 18.1 13.0 15.0 17.6 14.2 19.0 14.9 14.1 11.4 17.5 13.5 17.8 13.3 16.3 15.0

12.3

15.9 11.4 6.9 9.2

Pulpwood

Birch

4.3 4.5 2.4 3.0 5.1 2.2 5.6 1.9 3.1 5.0 3.4 3.9 4.0 3.8 1.9 5.2 3.3 7.3 2.8 4.5 3.2

4.8 6 0.4

6.5 4.1 2.2 2.6

Total

0.5 0.7 0.3 0.4 0.6 0.2 0.6 0.2 0.4 0.8 0.6 0.4 0.7 0.5 0.2 0.9 0.3 1.2 0.3 0.7 0.5

0.5

0.9 0.4 0.2 0.3

Logs

3.0 3.0 1.7 2.0 3.6 1.6 3.9 1.3 2.1 3.4 2.2 2.8 2.7 2.6 1.3 3.5 2.1 5.0 1.9 3.0 2.2

3.0

3.7 2.8 1.4 1.7

Pulpwood

131.8 142.1 126.9 144.0 142.3 108.8 153.3 132.7 146.6 151.7 134.3 153.3 139.6 143.1 107.4 144.9 164.9 165.2 149.6 149.7 149.9

140.6 143.1 2.3

149.5 141.3 121.6 132.9

Other deciduous tree species All tree species

282 Appendix 1

26.3

59.8 60.4 1.4

18.5

25.8 14.6 30.3 19.7 25.5 26.5 26.0 28.0 31.5 21.5 20.2 36.3 38.6 21.7 32.9 29.5 21.5 29.3

48.3 48.3 1.2

Multi-source inventory Field inventory SE of field inventory

15.5 17.1 18.2 22.2 19.4 16.5 17.2

54.4 46.4 63.6 47.2 57.4 56.6 61.7 57.7 70.4 44.2 52.5 74.9 86.6 50.4 69.2 68.0 49.5 67.9

36.1 45.3 40.6 50.3 59.2 40.6 48.6

Valkeakoski Vammala Vesilahti Vilppula Virrat Ylöjärvi Äetsä

Etelä-Savo Municipality 46 Enonkoski 90 Heinävesi 97 Hirvensalmi 171 Joroinen 178 Juva 213 Kangasniemi 246 Kerimäki 491 Mikkeli 507 Mäntyharju 588 Pertunmaa 593 Pieksämäki 618 Punkaharju 623 Puumala 681 Rantasalmi 696 Ristiina 740 Savonlinna 741 Savonranta 768 Sulkava Total Multi-source inventory Field inventory SE of field inventory

908 912 922 933 936 980 988 Total

31.1

26.6 29.7 31.1 25.2 29.5 27.9 33.2 27.7 36.0 21.3 29.7 35.7 44.1 26.7 33.7 35.9 26.1 35.7

27.5

19.2 25.9 20.7 26.0 36.6 22.2 28.9

47.7 49.1 1.4

56.5 58.7 41.0 64.1 56.4 52.9 43.7 50.0 33.6 52.0 52.6 43.9 21.6 53.4 39.8 38.5 55.4 40.5

66.3 64.7 1.8

81.4 68.0 92.9 75.6 39.4 76.3 58.8

22.2

24.4 28.2 17.2 34.1 28.3 26.6 17.1 23.7 13.5 24.4 26.9 19.2 8.2 24.9 16.6 15.1 23.5 18.0

30.8

36.6 30.9 46.5 36.7 17.3 36.0 26.0

22.9

28.4 27.0 21.6 27.0 25.3 23.7 23.9 23.8 18.0 25.0 22.8 22.4 12.2 25.7 21.0 21.3 28.2 20.4

31.8

39.8 33.0 41.7 34.9 19.6 36.0 29.0

20.7 21.9 0.7

19.3 15.6 27.6 18.7 20.1 20.1 21.3 23.2 20.0 29.1 19.0 20.3 22.1 18.9 23.6 21.8 19.4 19.1

19.7 20.1 0.7

25.1 19.1 18.6 21.1 16.1 21.8 17.1

4.1

3.9 2.8 6.3 3.7 4.2 4.4 3.7 5.3 3.8 6.4 3.3 3.8 4.4 3.5 5.0 3.7 4.5 3.6

2.4

3.5 2.3 2.5 2.8 1.5 2.6 2.0

13.8

12.9 10.4 18.1 12.2 13.2 13.0 14.5 15.2 13.5 19.7 12.8 13.4 15.2 12.7 15.8 15.0 12.5 12.8

14.4

18.1 13.9 13.6 15.3 11.8 16.1 12.4

5.6 6.4 0.4

6.5 5.0 9.0 5.7 5.3 5.3 5.7 6.7 4.4 7.1 4.4 5.2 3.4 7.5 5.8 6.2 6.2 5.0

3.4 4.8 0.4

5.5 3.0 3.3 3.2 2.4 4.1 2.6

0.4

0.5 0.5 1.0 0.4 0.4 0.4 0.3 0.6 0.3 0.7 0.3 0.1 0.1 0.5 0.4 0.1 0.4 0.1

0.5

0.6 0.5 0.5 0.4 0.2 0.6 0.4

3.2

3.7 2.7 5.6 3.5 3.2 3.3 3.5 4.0 2.5 4.3 2.6 3.0 1.7 4.0 3.3 3.6 3.6 2.7

2.3

3.9 2.0 2.2 2.2 1.7 2.7 1.7

(continued)

133.8 137.8 1.9

136.6 125.8 141.3 135.7 139.2 134.9 132.3 137.6 128.5 132.4 128.4 144.2 133.7 130.2 138.3 134.5 130.4 132.4

137.7 137.8 2.1

148.1 135.3 155.3 150.1 117.0 142.7 127.0

Appendix 1 283

Etelä-Pohjanmaa Municipality 4 Alahärmä 5 Alajärvi 10 Alavus 52 Evijärvi 74 Halsua 95 Himanka 145 Ilmajoki 151 Isojoki 152 Isokyrö 164 Jalasjärvi 175 Jurva 217 Kannus 218 Karijoki 232 Kauhajoki 233 Kauhava 236 Kaustinen 281 Kortesjärvi 300 Kuortane 301 Kurikka 315 Kälviä 399 Laihia 403 Lappajärvi 408 Lapua 414 Lehtimäki 421 Lestijärvi 429 Lohtaja 544 Nurmo 584 Perho 743 Seinäjoki

Table 7a (continued)

50.3 63.4 67.2 54.5 50.9 55.8 47.6 50.0 37.6 60.3 44.3 52.4 48.7 51.1 57.8 53.0 53.7 67.7 52.6 51.8 40.2 58.4 56.6 65.2 54.4 51.0 52.8 50.7 56.1

Total

11.7 19.4 22.1 13.9 9.7 11.8 15.3 14.4 8.8 17.3 14.9 11.5 15.5 12.4 16.2 12.2 13.1 25.0 18.5 11.6 11.8 15.3 17.5 23.1 13.2 11.1 16.4 9.2 15.1

Logs

Pine

34.8 39.5 40.7 36.7 36.3 39.6 29.3 32.0 25.3 39.1 26.7 36.7 30.3 34.8 37.6 36.2 36.5 38.7 31.2 36.0 25.6 39.1 35.3 38.4 36.5 35.7 32.9 36.4 36.7

Pulpwood

19.0 14.1 17.1 22.8 5.5 23.4 43.4 35.9 37.2 23.5 44.7 16.5 39.0 19.0 21.1 12.2 20.1 23.4 33.4 17.9 43.4 19.6 26.8 16.0 12.6 17.7 23.4 5.3 17.4

Total

Pulpwood

5.6 5.8 7.2 8.8 1.7 7.8 19.3 14.6 14.2 10.1 17.7 5.6 14.0 7.3 8.2 4.5 7.3 10.1 14.1 6.4 17.5 7.6 11.1 6.7 5.1 5.9 9.8 1.8 7.2

11.9 7.4 8.9 12.9 3.0 13.9 22.0 19.4 20.4 12.0 24.6 9.6 22.9 10.6 11.7 6.9 11.6 12.1 17.4 10.4 23.2 10.9 14.3 8.4 6.5 10.5 12.3 2.9 9.0

(m3/ha)

Logs

Spruce

13.5 14.1 13.1 14.2 14.6 20.5 13.0 15.7 16.8 13.6 15.9 22.5 14.0 10.4 14.0 16.4 13.4 11.9 12.1 18.5 19.3 17.0 15.4 12.5 14.9 17.0 13.5 9.0 15.5

Total

0.7 0.6 0.6 0.8 0.5 0.5 1.0 0.8 1.3 0.6 1.0 0.5 0.7 0.4 0.8 0.4 0.6 0.7 0.5 0.5 1.2 0.8 0.9 0.5 0.6 0.5 0.5 0.3 0.7

Logs

10.1 10.4 9.7 10.7 10.7 16.0 9.1 12.2 12.0 10.0 12.1 17.5 10.5 8.0 10.5 12.3 10.1 8.6 8.9 14.1 14.0 13.0 11.2 9.2 10.9 13.0 9.7 6.2 11.4

Pulpwood

Birch

1.8 1.4 1.2 1.5 2.2 2.0 2.5 2.4 3.1 1.6 2.3 1.7 1.8 1.2 1.4 1.1 1.4 0.9 1.7 1.5 3.3 1.5 2.2 1.1 2.3 1.5 1.6 2.0 1.8

Total

0.1 0.1 0.1 0.1 0.1 0.1 0.7 0.3 0.3 0.1 0.3 0.1 0.2 0.1 0.1 0.0 0.1 0.1 0.2 0.0 0.3 0.1 0.1 0.1 0.0 0.0 0.1 0.1 0.2

Logs

1.4 0.9 0.8 1.1 1.5 1.5 1.5 1.8 2.2 1.2 1.7 1.2 1.3 0.9 1.0 0.8 1.1 0.6 1.2 1.1 2.5 1.1 1.5 0.8 1.5 1.2 1.2 1.3 1.2

Pulpwood

84.5 92.9 98.5 93.0 73.2 101.6 106.6 104.0 94.7 99.0 107.3 93.0 103.6 81.6 94.2 82.7 88.6 103.8 99.7 89.7 106.1 96.5 100.8 94.8 84.2 87.1 91.3 67.0 90.9

Other deciduous tree species All tree species

284 Appendix 1

54.6 54.3 1.1

Multi-source inventory Field inventory SE of field inventory

42.3 38.0 40.8 44.5 45.5 47.1 54.8 55.1 52.7 49.7 55.6 43.7 42.4 45.1 54.1 45.7 48.8 40.2

65.2 45.7 55.2 71.5 59.0 55.3 57.6 29.4 46.5 42.6 60.6

Soini Teuva Toholampi Töysä Ullava Veteli Vimpeli Vähäkyrö Ylihärmä Ylistaro Ähtäri

Keski-Suomi Municipality 77 Hankasalmi 172 Joutsa 179 Jyväskylä 180 Jyväskylän mlk 182 Jämsä 183 Jämsänkoski 216 Kannonkoski 226 Karstula 249 Keuruu 256 Kinnula 265 Kivijärvi 275 Konnevesi 277 Korpilahti 291 Kuhmoinen 312 Kyyjärvi 410 Laukaa 415 Leivonmäki 435 Luhanka

759 846 849 863 885 924 934 942 971 975 989 Total

17.8 15.4 15.8 17.6 18.7 17.8 17.1 14.7 18.7 12.7 16.2 17.6 16.8 18.8 13.4 18.5 18.0 15.8

15.3

20.1 15.4 14.4 26.8 14.1 13.5 15.2 8.1 11.1 13.0 19.5

22.5 20.8 22.8 24.6 24.7 26.8 34.4 36.5 31.0 33.3 35.8 23.8 23.4 24.1 36.5 25.0 28.4 22.4

35.3

40.6 27.7 36.7 40.5 40.2 37.3 37.9 19.3 31.8 26.4 37.2

71.8 71.4 65.8 66.5 71.5 56.1 38.7 27.1 42.6 20.8 29.0 63.2 67.2 70.5 16.5 64.2 61.2 64.3

22.9 23.2 1

18.9 39.9 15.8 23.9 13.4 18.2 16.3 44.2 26.4 36.0 26.3

36.3 33.8 32.0 32.5 34.8 26.6 16.9 11.8 20.3 8.2 12.5 30.6 32.5 35.3 6.4 31.2 28.2 30.3

9.2

8.1 15.6 6.5 11.0 6.0 7.3 6.7 15.2 8.7 14.0 12.2

32.6 34.3 30.8 31.2 33.3 26.7 19.5 13.7 20.0 11.0 14.7 29.8 31.8 32.1 9.0 30.3 30.2 31.0

12.4

9.7 22.2 8.2 11.6 6.7 9.9 8.6 26.1 16.2 19.7 12.6

18.5 22.4 18.4 17.5 18.3 15.4 13.8 12.9 12.9 12.7 12.1 16.8 17.5 15.5 10.8 16.8 17.4 20.6

14.6 15.6 0.5

13.1 13.7 20.3 10.0 17.2 17.7 16.6 18.6 16.1 15.8 12.5

3.7 4.3 3.4 3.4 3.0 2.5 1.5 1.1 1.3 0.8 1.1 3.1 3.3 3.0 0.6 3.2 3.3 3.8

0.7

0.6 0.7 0.7 0.6 0.5 0.7 0.8 1.5 1.3 1.2 1.0

12.4 15.0 12.3 11.5 12.7 10.2 9.6 9.0 8.9 9.1 8.5 11.3 11.5 10.1 7.7 11.2 11.4 13.7

10.9

9.6 10.4 15.3 7.1 12.9 13.5 12.5 13.1 11.9 11.2 8.9

6.0 9.3 7.5 5.8 4.7 4.7 2.8 2.2 2.1 2.1 2.2 5.0 6.4 6.0 1.6 5.5 4.7 8.3

1.8 2.5 0.2

1.4 1.7 2.9 0.9 2.2 2.5 2.1 7.5 2.6 2.3 1.5

0.2 0.4 0.3 0.3 0.3 0.2 0.1 0.1 0.0 0.1 0.1 0.2 0.3 0.4 0.1 0.3 0.3 0.4

0.1

0.1 0.2 0.0 0.0 0.0 0.2 0.2 0.4 0.2 0.3 0.1

3.7 5.9 4.8 3.7 3.0 2.9 1.6 1.2 1.2 1.1 1.2 3.1 4.1 3.9 0.9 3.4 3.1 5.3

1.3

0.9 1.2 2.1 0.5 1.6 1.7 1.4 6.0 2.1 1.6 0.9

(continued)

138.6 141.1 132.5 134.3 140.1 123.3 110.1 97.2 110.2 85.2 98.8 128.7 133.5 137.2 83.0 132.2 132.1 133.3

93.9 95.5 1.4

98.6 101.0 94.1 106.2 91.8 93.7 92.6 99.7 91.6 96.7 100.9

Appendix 1 285

48.7 49.5 1.1

Multi-source inventory Field inventory SE of field inventory

31.9 36.5 45.9 37.6 44.8 36.6 36.8 34.0 39.2 33.7 33.4 39.0 42.7 42.6 30.7

53.8 40.2 48.0 50.9 53.6 51.9 45.6 51.6 46.1 51.4

Total

Multia Muurame Petäjävesi Pihtipudas Pylkönmäki Saarijärvi Toivakka Uurainen Viitasaari Äänekoski

Pohjois-Savo Municipality 140 Iisalmi 174 Juankoski 204 Kaavi 227 Karttula 239 Keitele 263 Kiuruvesi 297 Kuopio 402 Lapinlahti 420 Leppävirta 476 Maaninka 534 Nilsiä 595 Pielavesi 686 Rautalampi 687 Rautavaara 749 Siilinjärvi

495 500 592 601 633 729 850 892 931 992 Total

Table 7a (continued)

9.6 14.1 18.9 15.0 14.7 9.2 16.3 10.5 18.1 12.1 11.6 12.2 17.4 11.1 12.0

16.9

16.0 15.9 16.9 14.0 15.6 17.9 18.3 18.2 15.7 19.2

Logs

Pine

20.3 20.5 24.8 20.5 27.3 24.8 18.7 21.5 19.3 19.8 20.0 24.4 23.0 28.7 17.1

29.0

34.5 22.2 28.5 33.4 34.6 31.1 25.1 30.5 27.6 29.3

Pulpwood

56.3 63.1 59.1 62.0 46.4 36.2 71.7 60.0 77.7 72.9 65.1 51.9 56.5 34.7 66.6

50.1 49.3 1.5

35.0 66.3 52.4 32.4 31.0 47.1 62.4 51.2 47.3 54.2

Total

Pulpwood

26.7 33.1 31.1 31.3 21.6 14.9 38.1 29.6 42.0 37.0 33.8 24.1 27.0 14.7 34.5

23.5

16.1 32.1 24.8 13.7 13.9 22.0 29.4 24.5 21.4 24.6

26.7 27.3 25.3 27.9 22.2 18.7 30.6 27.4 32.4 32.6 28.4 24.9 26.8 17.8 29.2

24.1

17.1 31.3 25.1 16.6 15.3 22.9 30.2 24.4 23.4 26.9

(m3/ha)

Logs

Spruce

17.7 17.0 15.8 19.7 17.1 18.7 19.2 18.3 20.2 18.0 18.1 17.6 18.5 17.2 17.3

15.5 16.2 0.5

13.2 17.1 15.0 14.2 13.3 15.3 18.5 14.4 15.5 16.0

Total

1.6 2.3 2.4 3.2 1.9 1.1 3.5 1.8 4.0 2.4 2.1 1.8 3.3 1.2 2.5

2.3

1.4 3.1 2.5 1.2 1.3 2.2 3.6 2.5 2.0 2.8

Logs

12.8 12.0 11.1 13.7 12.3 13.6 13.3 13.2 13.8 12.8 12.9 12.6 12.7 12.4 12.1

10.5

9.1 11.4 9.9 10.1 9.2 10.4 12.3 9.4 10.8 10.8

Pulpwood

Birch

5.4 7.1 5.7 7.2 4.1 4.0 8.2 5.5 7.9 6.8 7.0 5.1 6.3 3.5 7.6

4.1 4.2 0.3

2.1 6.7 4.3 2.9 2.2 3.4 5.9 3.8 4.2 4.3

Total

0.2 0.2 0.1 0.3 0.2 0.2 0.3 0.2 0.3 0.3 0.3 0.2 0.2 0.1 0.3

0.2

0.1 0.3 0.2 0.1 0.1 0.2 0.3 0.2 0.2 0.2

Logs

3.2 4.4 3.5 4.6 2.6 2.5 5.2 3.3 5.1 4.2 4.2 3.1 4.0 2.2 4.7

2.5

1.3 4.2 2.7 1.7 1.3 2.0 3.8 2.4 2.6 2.6

Pulpwood

111.3 123.7 126.5 126.5 112.4 95.5 135.9 117.8 145.0 131.4 123.6 113.6 124.0 98.0 122.2

118.4 119.3 1.8

104.1 130.4 119.7 100.5 100.0 117.6 132.4 120.9 113.1 125.8

Other deciduous tree species All tree species

286 Appendix 1

17.2

55.1 52.9 1.2

13.4

16.5 16.4 16.2 14.6 27.2 21.0 27.3 24.2 17.8 19.9 11.4 16.4 14.2 20.7 18.9 9.4

38.6 37.3 1.0

Multi-source inventory Field inventory SE of field inventory

9.6 18.8 14.8 15.5 21.2 10.9 15.6 9.9

47.6 61.0 49.2 52.9 69.7 57.1 64.9 61.1 60.6 56.0 42.7 56.9 37.1 54.8 56.4 38.9

38.7 43.4 38.5 35.2 49.7 34.8 42.2 38.0

Sonkajärvi Suonenjoki Tervo Tuusniemi Varkaus Varpaisjärvi Vesanto Vieremä

Pohjois-Karjala Municipality 45 Eno 146 Ilomantsi 167 Joensuu 176 Juuka 248 Kesälahti 260 Kitee 276 Kontiolahti 309 Outokumpu 422 Lieksa 426 Liperi 541 Nurmes 607 Polvijärvi 632 Pyhäselkä 707 Rääkkylä 848 Tohmajärvi 911 Valtimo Total Multi-source inventory Field inventory SE of field inventory

762 778 844 857 915 916 921 925 Total

34.8

28.4 40.3 30.8 35.3 38.9 33.1 34.5 34.3 39.1 33.6 28.4 38.0 21.3 32.3 35.1 26.8

22.9

26.4 22.5 21.6 17.9 26.6 21.8 24.2 25.5

30.5 31.5 1.1

35.2 19.7 45.2 32.7 25.1 41.1 30.1 39.4 21.1 41.2 30.9 32.3 54.4 43.2 40.7 27.4

54.6 53.2 1.5

34.3 66.3 59.4 62.5 64.0 56.2 55.0 34.3

12.9

15.8 7.7 19.9 14.5 9.2 17.7 13.3 14.9 8.8 17.1 12.6 13.0 23.8 20.3 19.0 10.5

26.7

14.2 34.0 28.8 33.1 32.3 27.5 25.8 14.0

15.7

17.2 10.6 23.1 16.1 14.3 20.8 15.0 22.0 10.8 21.5 16.3 17.2 28.0 20.9 19.6 15.1

25.1

17.8 29.5 27.7 26.5 28.7 25.9 26.5 17.9

15.4 16.1 0.5

17.1 11.1 17.3 13.9 17.6 19.2 18.8 21.2 13.0 18.9 15.1 18.9 22.7 26.0 13.7 14.7

18.0 19.0 0.6

17.2 17.8 17.8 17.9 18.1 18.2 17.3 18.2

1.7

2.6 0.9 2.5 1.3 2.4 2.8 1.7 2.3 1.2 3.0 1.4 2.0 3.3 3.3 2.1 1.4

2.3

1.0 3.3 2.9 3.2 4.1 1.7 2.8 1.1

10.6

12.0 7.3 11.9 9.7 12.1 12.9 13.8 16.1 8.7 13.1 10.3 13.8 15.9 18.4 8.7 10.0

12.7

12.5 12.2 12.4 12.2 11.6 13.1 11.9 13.2

3.5 4.0 0.3

2.9 1.8 3.2 3.7 5.2 4.4 4.0 8.4 2.2 5.8 3.4 6.8 6.0 5.8 3.5 3.7

5.6 6.8 0.4

3.2 5.7 6.6 7.5 6.3 5.4 5.0 3.3

0.1

0.1 0.0 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.4 0.1 0.1 0.0 0.2 0.1 0.0

0.2

0.1 0.2 0.3 0.2 0.4 0.2 0.2 0.1

1.8

1.4 0.9 1.5 2.0 2.8 1.7 2.1 4.6 1.2 3.5 1.9 4.0 4.0 3.3 1.7 1.9

3.4

1.9 3.6 4.1 4.7 3.4 3.2 3.1 1.9

(continued)

104.5 104.6 1.4

102.7 93.5 114.9 103.2 117.5 121.8 117.7 130.1 97.0 121.9 92.1 114.8 120.2 129.8 114.2 84.6

116.8 116.2 1.7

93.4 133.3 122.3 123.1 138.1 114.7 119.4 93.8

Appendix 1 287

13.1

48.1 47.1 0.9

52.7 52.5 48.2 51.9 46.3 41.4 49.4 46.8 55.9 53.2 41.1 51.7 46.3 44.9

Pohjois-Pohjanmaa Municipality 9 Alavieska 69 Haapajärvi 71 Haapavesi 72 Hailuoto 84 Haukipudas 139 Ii 208 Kalajoki 244 Kempele 247 Kestilä 255 Kiiminki 305 Kuusamo 317 Kärsämäki 425 Liminka 436 Lumijoki

10.7 12.5 11.6 12.4 10.0 8.5 8.6 9.6 10.4 10.6 11.1 10.9 6.7 8.5

12.1 11.6 17.0 11.5 10.4 10.9 10.9 13.5 13.2

Logs

44.8 53.5 54.6 46.2 40.4 40.6 46.4 45.5 55.8

Total

Pine

Kainuu Municipality 105 Hyrynsalmi 205 Kajaani 290 Kuhmo 578 Paltamo 620 Puolanka 697 Ristijärvi 765 Sotkamo 777 Suomussalmi 785 Vaala Total Multi-source inventory Field inventory SE of field inventory

Table 7a (continued)

38.3 36.3 33.5 34.7 32.6 29.4 36.9 33.0 40.7 38.4 27.2 37.2 34.8 32.4

31.7

29.7 38.0 34.1 32.1 27.1 27.2 32.6 28.8 38.2

Pulpwood

17.8 22.3 17.5 6.1 16.6 14.5 11.8 9.4 4.8 17.5 18.6 14.8 3.8 7.9

17.8 18.6 0.8

20.8 9.8 17.6 21.8 20.8 25.1 22.2 17.1 3.9

Total

Pulpwood

5.7 7.4 4.6 1.9 4.6 3.3 2.6 2.4 1.1 4.5 5.4 4.0 1.1 2.1

5.7

7.1 2.8 5.4 7.5 7.0 8.5 7.4 5.1 1.3

10.6 13.1 11.2 3.8 10.6 9.8 7.9 6.3 3.1 11.5 11.8 9.4 2.4 5.3

10.7

12.1 5.9 10.7 12.8 12.4 14.7 13.0 10.6 2.2

(m3/ha)

Logs

Spruce

15.2 19.4 26.4 15.6 16.5 21.0 15.9 18.9 18.0 14.2 7.7 23.8 20.4 24.5

11.7 12.3 0.3

11.9 15.7 10.4 15.6 10.9 14.5 14.5 8.9 12.8

Total

0.4 0.8 0.5 0.1 0.3 0.2 0.3 0.2 0.2 0.2 0.1 0.5 0.2 0.1

0.3

0.3 0.2 0.3 0.5 0.3 0.5 0.4 0.2 0.2

Logs

11.3 14.4 20.4 10.7 12.4 15.8 11.9 13.3 12.8 10.3 5.6 17.4 14.1 16.9

8.1

8.2 11.2 6.8 11.3 7.8 10.4 10.1 6.1 9.0

Pulpwood

Birch

2.6 4.1 4.7 2.9 2.3 2.9 1.6 3.0 1.9 1.6 1.3 5.3 2.4 3.8

1.3 1.4 0.1

1.2 1.8 1.2 1.9 1.1 1.6 2.0 0.9 1.3

Total

0.2 0.1 0.1 0.1 0.1 0.2 0.1 0.1 0.1 0.1 0.0 0.2 0.2 0.2

0.1

0.1 0.1 0.0 0.1 0.0 0.0 0.1 0.0 0.1

Logs

1.6 2.7 3.5 2.1 1.5 2.0 0.9 2.3 1.4 1.0 0.7 4.1 1.9 3.0

0.8

0.7 1.2 0.6 1.1 0.6 0.8 1.1 0.6 1.0

Pulpwood

88.3 98.2 96.9 76.4 81.7 79.7 78.7 78.1 80.6 86.5 68.6 95.5 73.0 81.1

78.9 79.4 1.3

78.7 80.8 83.8 85.6 73.2 81.8 85.1 72.4 73.8

Other deciduous tree species All tree species

288 Appendix 1

47.6 47.1 0.8

Multi-source inventory Field inventory SE of field inventory

42.5 55.3 15.8 19.1 30.6

50.0 52.1 48.6 43.0 54.2 51.0 54.1 44.9 56.2 43.9 48.6 59.1 47.3 52.8 58.4 55.8 49.6 40.7 49.4 57.3 50.7 46.2 55.7 46.1

Merijärvi Muhos Nivala Oulainen Oulu Oulunsalo Piippola Pudasjärvi Pulkkila Pyhäjoki Pyhäsalmi Pyhäntä Raahe Rantsila Reisjärvi Sievi Siikajoki Taivalkoski Tyrnävä Utajärvi Vihanti Yli-Ii Ylikiiminki Ylivieska

Lapland Municipality 47 Enontekiö 148 Inari 240 Kemi 241 Keminmaa 261 Kittilä

483 494 535 563 564 567 603 615 617 625 626 630 678 682 691 746 748 832 859 889 926 972 973 977 Total

8.5 9.5 1.7 3.0 6.2

9.9

9.9 11.0 12.5 9.8 12.1 10.4 10.1 7.6 10.4 8.1 9.9 11.9 10.2 8.8 11.6 12.1 9.3 9.4 7.4 11.3 9.9 8.4 10.4 9.9

32.1 42.8 12.5 14.2 22.3

34.0

36.9 36.4 33.0 30.4 38.1 36.1 39.8 33.4 41.5 32.5 35.4 42.8 33.2 39.1 41.9 39.5 35.8 28.6 36.8 40.8 36.6 33.6 40.3 32.8

3.4 3.5 29.1 27.4 11.9

14.1 15.9 0.7

23.0 6.1 26.7 22.5 17.5 13.2 8.1 12.3 10.5 15.1 18.6 6.4 16.6 6.5 12.6 10.4 8.7 20.6 3.3 5.7 13.0 10.1 11.5 19.5

0.9 1.0 9.9 7.3 2.5

4.0

6.9 1.6 9.4 7.5 4.6 3.0 1.9 3.1 2.8 3.7 5.7 1.6 4.9 1.6 4.6 3.7 2.2 6.1 0.9 1.3 3.7 1.9 2.6 6.8

2.3 2.4 17.1 17.5 8.3

9.0

14.2 3.9 15.5 13.4 11.5 8.9 5.3 8.1 6.8 9.9 11.3 4.1 10.4 4.2 6.9 5.9 5.8 13.2 2.1 3.7 8.2 7.0 7.7 11.3

8.8 5.6 22.9 25.1 11.3

14.7 15.5 0.4

19.7 13.6 18.6 20.5 17.5 17.1 21.4 9.4 22.4 21.5 19.6 16.4 21.6 19.2 14.0 14.2 19.7 9.2 16.6 11.7 19.7 14.1 14.2 17.8

0.0 0.0 0.2 0.3 0.1

0.2

0.3 0.1 0.5 0.3 0.2 0.1 0.2 0.1 0.3 0.4 0.5 0.2 0.3 0.2 0.6 0.5 0.1 0.2 0.2 0.2 0.2 0.1 0.1 0.4

4.2 3.1 16.9 18.4 8.0

10.8

15.5 9.6 14.4 16.4 13.1 12.5 15.6 6.7 16.4 16.6 14.5 11.6 16.5 13.8 9.8 10.2 14.1 6.4 11.5 8.6 14.8 10.2 10.4 13.7

0.2 0.1 2.4 1.9 0.5

2.2 2.4 0.2

3.6 1.6 3.8 4.1 2.8 2.5 2.9 1.1 3.3 3.6 2.9 1.9 4.6 2.3 2.8 2.1 2.9 1.4 1.5 1.2 3.2 1.4 1.4 3.4

0.0 0.0 0.0 0.0 0.0

0.1

0.1 0.1 0.1 0.1 0.2 0.1 0.2 0.0 0.2 0.3 0.1 0.1 0.4 0.1 0.1 0.1 0.1 0.0 0.1 0.1 0.2 0.1 0.1 0.1

0.0 0.0 1.6 1.3 0.3

1.5

2.6 1.2 2.6 3.1 1.9 1.8 2.1 0.6 2.4 2.3 1.8 1.4 3.1 1.7 1.4 1.1 2.2 0.9 1.2 0.9 2.2 0.9 1.1 2.4

(continued)

54.9 64.5 70.3 73.4 54.3

78.7 80.8 1.0

96.3 73.3 97.6 90.2 92.0 83.8 86.5 67.7 92.4 84.1 89.6 83.8 90.1 80.7 87.7 82.5 80.9 71.9 70.8 75.8 86.7 71.7 82.8 86.8

Appendix 1 289

273 320 498 583 614 683 698 732 742 751 758 845 851 854 890 976 Total

39.8 43.9 48.3 36.0 44.0 36.9 39.1 35.8 40.3 33.5 35.2 26.2 17.5 35.8 40.6 33.8

39.4 39.1 0.8

Multi-source inventory Field inventory SE of field inventory

Total

Kolari Kemijärvi Muonio Pelkosenniemi Posio Ranua Rovaniemi Salla Savukoski Simo Sodankylä Tervola Tornio Pello Utsjoki Ylitornio

Table 7a (continued)

7.6

9.1 8.4 13.6 6.1 9.4 5.5 7.2 6.9 7.9 7.0 7.4 3.6 2.2 7.4 1.1 6.2

Logs

Pine

29.0

27.6 32.0 32.5 26.9 31.6 27.8 28.4 26.4 29.8 22.7 25.7 19.9 13.5 25.1 33.6 23.7

Pulpwood

10.9 11.8 0.5

10.6 7.9 9.7 10.7 13.3 8.9 10.9 16.3 11.3 14.6 10.2 23.6 28.3 12.1 3.9 12.6

Total

Pulpwood

2.2

1.3 1.3 2.3 1.7 3.2 1.1 1.3 4.0 3.0 2.7 2.5 4.0 6.7 1.5 0.8 1.5 7.6

7.8 5.7 6.5 7.7 9.1 6.5 8.2 10.9 7.4 10.2 7.1 16.7 19.1 8.9 2.9 9.3

(m3/ha)

Logs

Spruce

9.3 9.6 0.3

10.2 7.6 6.9 11.8 6.3 8.0 8.2 9.2 6.5 22.3 8.5 17.4 24.0 11.1 9.4 15.0

Total

0.1

0.1 0.0 0.0 0.0 0.1 0.0 0.1 0.1 0.1 0.2 0.0 0.2 0.4 0.1 0.0 0.1

Logs

6.3

7.2 5.1 4.5 7.6 4.5 5.2 5.8 6.5 4.6 16.3 5.8 12.3 17.2 7.7 2.8 10.5

Pulpwood

Birch

0.6 0.6 0.1

0.7 0.4 0.4 0.9 0.7 0.6 0.7 0.9 0.3 1.3 0.2 1.4 2.0 1.0 0.0 0.9

Total

0.0

0.0 0.0 0.0 0.1 0.0 0.0 0.0 0.1 0.0 0.0 0.0 0.1 0.0 0.0 0.0 0.0

Logs

0.3

0.4 0.2 0.2 0.5 0.3 0.3 0.4 0.5 0.1 0.9 0.1 0.9 1.4 0.6 0.0 0.6

Pulpwood

60.0 61.1 0.8

61.3 59.9 65.2 59.4 64.2 54.3 58.9 62.2 58.4 71.7 54.1 68.6 71.8 60.0 53.9 62.3

Other deciduous tree species All tree species

290 Appendix 1

Åland Municipality 35 Brändö 43 Eckerö 60 Finström 62 Föglö 65 Geta 76 Hammarland 170 Jomala 295 Kumlinge 318 Kökar 417 Lemland 438 Lumparland 478 Mariehamn 736 Saltvik 766 Sottunga 771 Sund 941 Vårdö Total Multi-source inventory Field inventory SE of ﬁeld inventory 4 57 59 62 32 65 77 22 7 59 18 3 68 5 52 37 629

4,956 4,291 276

Logs

100 437 455 476 266 521 569 198 44 446 139 28 534 44 402 295

Total

Pine

4,183

91 368 384 399 227 441 476 168 35 375 117 24 452 37 339 250

Pulpwood Logs

2,383 2,035 205

4 222 255 193 124 273 319 43 9 257 65 12 262 14 202 129 599

1 56 66 50 30 68 82 9 1 67 16 3 66 3 49 31

(1,000 m3)

Total

Spruce

1,592

4 146 169 128 83 182 212 31 8 169 43 8 176 9 136 87

Pulpwood

1,213 1,068 92

79 99 117 91 49 134 139 64 31 129 25 7 94 16 87 53

Total

33

0 3 4 2 2 4 5 1 0 4 1 0 3 0 3 1

Logs

Birch

991

67 81 96 73 39 110 113 53 24 106 20 6 77 13 70 43

Pulpwood

Table 7b The growing stock volume by tree species and roundwood assortment on forest land (By forestry centres).

839 910 126

84 48 71 84 25 76 88 68 38 81 16 6 51 16 53 36

Total

19

1 1 1 2 0 2 2 2 1 3 0 0 1 0 2 1

Logs

9,392 8,303 481

267 806 898 843 463 1,005 1,115 373 121 914 246 53 942 90 744 513

All tree species

(continued)

624

53 39 56 56 19 62 70 47 25 64 12 4 40 11 41 26

Pulpwood

Other deciduous tree species

Appendix 1 291

Rannikko/Etelärannikko Municipality 40 Dragsfjärd 49 Espoo-Esbo 78 Hanko-Hangö 91 Helsinki-Helsingfors 92 Vantaa-Vanda 101 Houtskär-Houtskari 149 Ingå-Inkoo 150 Iniö 220 Karis-Karjaa 235 Kauniainen-Grankulla 243 Kimito-Kemiö 257 Kirkkonummi-Kyrkslätt 279 Korpo-Korppoo 407 Lapinjärvi-Lappträsk 424 Liljendal 434 Loviisa-Lovisa 533 Nagu-Nauvo 573 Pargas-Parainen 585 Pernå-Pernaja 606 Pohja-Pojo 638 Porvoo-Borgå 701 Ruotsinpyhtää-Strömfors 753 Sipoo-Sibbo

Table 7b (continued)

1,231 750 534 216 328 584 1,078 356 602 11 1,346 993 668 652 231 162 1,054 1,063 1,200 989 1,678 761 876

Total

411 336 170 85 130 165 465 132 224 4 529 453 193 251 87 60 295 373 405 335 547 256 329

Logs

Pine

769 391 350 123 184 393 578 212 356 6 766 511 445 373 134 95 714 644 740 617 1,067 474 517

Pulpwood Logs

670 1,086 211 323 721 206 1,316 116 717 12 796 1,306 245 1,530 483 196 414 490 1,866 702 2,856 1,071 1,616

265 557 65 150 327 75 654 40 324 6 349 699 93 656 206 84 142 192 789 280 1,191 417 721

(1,000 m3)

Total

Spruce

373 472 133 152 351 121 599 69 356 5 408 542 140 794 251 101 251 272 974 381 1,500 590 801

Pulpwood

177 443 152 229 355 38 430 24 297 6 210 494 61 401 123 60 174 201 581 229 835 416 551

Total

31 131 24 61 93 6 131 3 79 2 41 146 8 75 23 11 17 34 97 48 161 73 131

Logs

Birch

126 270 112 137 218 25 265 18 194 4 139 304 44 281 86 45 138 141 425 150 572 313 353

Pulpwood

78 238 49 128 187 30 126 24 96 3 75 222 39 87 29 12 62 88 146 73 299 89 219

Total

9 42 16 17 21 8 48 7 28 0 13 57 5 13 5 1 2 9 23 16 38 12 25

Logs

43 145 28 80 126 21 59 16 52 2 45 119 30 54 18 8 44 54 99 48 222 61 161

Pulpwood

Other deciduous tree species

2,155 2,517 947 895 1,592 858 2,950 520 1,713 32 2,428 3,015 1,014 2,669 866 430 1,704 1,843 3,793 1,994 5,668 2,338 3,262

All tree species

292 Appendix 1

612 92 282 428 739 111 41 626 443 93 319

4,706

2,624 398 1,087 1,409 2,407 462 212 2,607

1,992 289 1,280

18,116 17,705 867

7,732

4 206 148 561

21,484 20,369 1,105

Multi-source inventory Field inventory SE of ﬁeld inventory

298 1,029 169

18 927 526 1,879

617 3,064 439

Siuntio-Sjundeå Ekenäs-Tammisaari Västanfjärd

Rannikko/Pohjanmaa Municipality 231 Kaskinen-Kaskö 272 Kokkola-Karleby 280 Korsnäs 287 Kristinestad-Kristiinankaupunki 288 Kronoby-Kruunupyy 440 Larsmo-Luoto 475 Malax-Maalahti 499 Korsholm-Mustasaari 545 Närpes-Närpiö 559 Oravais-Oravainen 598 Jakobstad-Pietarsaari 599 Pedersöre-Pedersören kunta 893 Nykarleby-Uusikaarlepyy 905 Vaasa-Vasa 945 Vörå-Maxmo-VöyriMaksamaa Total Multi-source inventory Field inventory SE of ﬁeld inventory

755 835 923 Total

12,200

1,404 181 882

1,828 279 717 901 1,524 324 157 1,798

12 659 338 1,195

12,940

300 1,929 253

19,906 21,262 1,125

1,383 627 1,944

1,436 294 1,381 2,990 3,459 462 156 1,562

37 711 795 2,669

22,330 21,606 1,298

1,112 2,008 260

459 1,096 135

885 380 1,139

885 183 812 1,742 2,156 289 103 994

23 451 496 1,691

6,458 12,230

373 218 681

471 93 473 1,103 1,108 141 39 462

11 217 243 826

9,801 11,325

600 808 112

9,340 8,912 505

947 214 857

841 177 837 1,050 1,235 279 140 993

12 449 449 860

7,553 8,171 534

295 698 71

615

55 18 78

38 9 59 71 81 20 8 53

1 22 34 70

1,654

80 133 15

7,061

721 165 620

649 135 618 784 926 209 110 771

9 352 335 657

5,062

186 471 46

1,528 1,929 243

92 58 211

82 32 128 292 189 39 20 112

4 66 44 159

2,805 3,708 350

142 244 21

68 155 12

68 47 158

59 20 89 232 128 28 14 83

3 44 29 108

48,890 49,807 1,909

4,414 1,188 4,292

4,983 901 3,432 5,742 7,291 1,242 528 5,274

70 2,152 1,814 5,567

54,172 53,853 2,132

2,166 6,015 791

(continued)

133 1,111

6 3 18

5 2 17 19 18 4 2 9

0 5 3 22

522 1,769

44 57 4

Appendix 1 293

Lounais Suomi Municipality 6 Alastaro 17 Askainen 19 Aura 50 Eura 51 Eurajoki 73 Halikko 79 Harjavalta 99 Honkajoki 102 Huittinen 181 Jämijärvi 202 Kaarina 214 Kankaanpää 230 Karvia 252 Kiikala 254 Kiikoinen 259 Kisko 262 Kiukainen 271 Kokemäki 284 Koski Tl 304 Kustavi 308 Kuusjoki 319 Köyliö 400 Laitila 406 Lappi

Table 7b (continued)

690 250 264 1,824 1,412 1,340 422 1,367 948 736 156 2,657 2,007 926 473 1,148 395 1,737 400 818 286 952 2,330 941

Total

272 107 126 714 578 587 140 402 337 259 64 834 565 435 168 538 156 626 170 340 133 374 946 378

Logs

Pine

395 136 129 1,039 778 708 264 895 575 436 86 1,681 1,344 462 280 573 223 1,034 218 455 144 543 1,297 525

Pulpwood Logs

796 105 248 1,616 1,290 1,014 393 267 1,539 540 89 1,613 476 958 584 1,073 435 1,689 721 278 376 805 1,730 703

379 39 115 711 545 453 166 96 709 251 37 753 173 466 278 506 180 741 370 89 182 368 742 308

(1,000 m3)

Total

Spruce

373 60 121 806 665 516 202 152 738 255 47 762 270 447 273 514 227 845 316 168 177 390 883 352

Pulpwood

230 31 56 514 387 259 147 299 479 218 25 727 439 221 170 267 137 531 159 102 80 262 492 195

Total

28 5 9 59 37 55 16 16 62 26 4 71 25 37 23 47 15 65 19 20 12 32 49 21

Logs

Birch

162 21 37 357 272 164 104 227 336 160 17 538 328 145 124 173 97 372 112 69 54 184 337 136

Pulpwood

50 21 26 115 110 123 24 45 72 47 16 123 67 78 31 106 32 89 33 99 27 51 131 52

Total

5 3 4 17 15 18 3 5 8 3 2 10 9 12 2 19 4 11 3 19 4 7 18 7

Logs

34 15 18 80 78 82 16 31 45 34 10 85 47 53 21 72 22 60 22 67 19 36 91 35

Pulpwood

Other deciduous tree species

1,766 407 594 4,069 3,198 2,736 986 1,978 3,037 1,540 285 5,121 2,989 2,182 1,257 2,594 999 4,046 1,314 1,296 769 2,071 4,683 1,891

All tree species

294 Appendix 1

413 419 423 430 442 480 481 482 484 485 501 503 529 531 537 538 561 577 586 587 602 608 609 631 636 680 684 704 705 734 738 747

Lavia Lemu Lieto Loimaa Luvia Marttila Masku Mellilä Merikarvia Merimasku Muurla Mynämäki Naantali Nakkila Noormarkku Nousiainen Oripää Paimio Perniö Pertteli Piikkiö Pomarkku Pori Pyhäranta Pöytyä Raisio Rauma Rusko Rymättylä Salo Sauvo Siikainen

1,246 127 661 908 713 541 291 184 1,832 255 306 1,984 211 444 1,236 763 387 883 1,782 456 295 1,272 1,409 734 1,303 134 1,323 154 672 514 882 1,948

459 53 307 386 283 236 121 69 572 109 145 778 89 163 490 328 160 388 836 217 127 513 534 314 589 57 545 65 273 234 367 613

722 69 333 492 392 287 159 109 1,126 138 151 1,124 115 262 687 410 213 466 889 225 158 703 799 396 668 72 727 83 380 262 482 1,212

1,264 71 516 1,620 947 630 203 274 1,536 93 249 1,598 87 621 1,670 675 278 555 1,399 427 187 1,740 1,917 531 1,310 79 910 113 224 420 523 1,456

560 29 242 836 409 300 86 138 623 33 116 711 33 269 769 325 128 247 656 200 83 832 825 219 608 34 374 49 81 191 222 627

624 38 249 707 476 298 106 121 807 53 121 789 49 311 805 315 134 286 678 206 96 815 967 279 633 40 479 58 129 209 275 732

447 20 108 345 299 160 54 72 579 29 63 509 23 213 503 153 90 136 338 99 42 429 631 146 335 21 264 27 61 112 140 604

58 2 16 40 24 22 6 8 63 5 11 58 4 21 62 21 12 25 63 16 8 55 61 17 50 3 27 3 11 18 22 67

328 14 71 243 222 108 37 50 419 20 40 356 16 156 368 106 62 90 214 64 28 315 459 100 226 14 184 19 42 72 95 438

81 9 50 75 43 49 25 13 113 25 26 134 16 33 74 37 23 58 131 42 22 67 107 47 117 13 93 14 57 48 68 121

6 1 8 8 7 7 3 1 9 4 4 18 2 5 9 5 3 7 22 8 3 7 14 7 18 2 12 2 9 8 9 9

57 6 36 48 31 35 17 9 80 18 18 94 11 22 51 25 17 38 92 29 14 46 77 33 83 8 65 10 39 33 45 85 (continued)

3,039 227 1,334 2,948 2,003 1,380 573 543 4,060 400 644 4,224 337 1,311 3,483 1,628 779 1,632 3,651 1,024 546 3,508 4,065 1,458 3,066 247 2,590 309 1,013 1,094 1,612 4,129

Appendix 1 295

Multi-source inventory Field inventory SE of field inventory

Somero Suomusjärvi Säkylä Särkisalo-Finby Taivassalo Tarvasjoki Turku-Åbo Ulvila Uusikaupunki Vahto Vampula Vehmaa Velkua Yläne

Häme-Uusimaa Municipality 15 Artjärvi 16 Asikkala 18 Askola 61 Forssa

761 776 783 784 833 838 853 886 895 906 913 918 920 979 Total

Table 7b (continued)

381 1,797 511 577

61,859 63,312 1,715

1,764 674 668 394 571 284 621 1,441 2,095 283 337 689 158 1,554

Total

183 978 269 261

24,410

749 306 272 177 238 133 260 536 859 120 133 283 62 618

Logs

Pine

180 758 227 297

34,886

957 346 373 203 315 141 339 833 1,155 153 192 380 92 877

Pulpwood Logs

1,232 331 243 160 113 141 190 842 580 121 261 181 26 625

Pulpwood

785 3,560 1,160 1,265

377 1,864 548 660

362 1,533 554 542

53,764 24,191 26,492 56,131 2,022

2,724 1,356 736 371 509 237 319 144 194 68 286 130 363 154 1,663 713 1,051 405 256 122 539 248 326 127 41 12 1294 596

(1,000 m3)

Total

Spruce

98 29 19 16 11 10 16 71 37 9 22 12 3 53

Logs

478 111 106 45 42 42 72 428 248 46 114 74 10 287

Pulpwood

162 1,015 270 267

38 253 74 45

102 649 167 185

16,489 2,039 11,608 16,994 619

690 167 151 72 62 65 107 588 350 66 162 105 14 410

Total

Birch

62 404 78 33

4,309 4,540 391

189 65 35 40 48 31 66 86 154 16 29 49 18 88

Total

124 44 24 26 33 22 43 60 105 11 19 32 12 61

Pulpwood

5 52 12 6

41 263 47 23

571 2,963

28 10 5 6 7 5 9 9 17 2 3 5 4 12

Logs

Other deciduous tree species

1,389 6,775 2,020 2,143

13,6422 14,0976 3,215

5,367 1,642 1,363 825 875 666 1,157 3,778 3,649 622 1,066 1,169 231 3,346

All tree species

296 Appendix 1

81 82 83 86 98 103 106 109 111 165 169 186 210 223 224 245 283 316 398 401 433 444 504 505 532 540 543 560 576 611 616 692

Hartola Hattula Hauho Hausjärvi Hollola Humppila Hyvinkää Hämeenlinna Heinola Janakkala Jokioinen Järvenpää Kalvola Karjalohja Karkkila Kerava Hämeenkoski Kärkölä Lahti Lammi Loppi Lohja-Lojo Myrskylä-Mörskom Mäntsälä Nastola Nummi-Pusula Nurmijärvi Orimattila Padasjoki Pornainen Pukkila Renko

1,805 1,115 968 833 1,042 278 853 431 3,191 1,312 378 39 921 399 720 44 349 449 277 1,331 1,795 780 534 1,230 1,060 1,412 665 1,303 1,997 318 249 935

898 473 491 359 542 121 346 194 1,616 598 175 16 367 164 317 21 166 194 149 634 771 361 261 539 571 600 268 652 1,094 161 120 430

855 599 453 440 456 149 466 222 1,443 669 192 20 515 219 375 21 167 233 118 646 953 393 253 639 453 759 362 594 839 145 119 472

3,344 1,818 2,690 1,855 2,691 744 1,675 872 3,226 3,217 787 121 1,780 483 1,471 121 1,213 1,371 549 3,741 3,719 1,251 1,066 3,673 1,393 2,185 1,554 2,794 4,037 744 658 1,638

1,576 872 1,464 1,008 1,429 371 903 441 1,474 1,741 407 61 853 253 797 54 636 736 278 1,984 2,014 686 491 1,996 687 1,105 808 1,458 2,266 341 336 899

1,616 841 1,116 769 1,136 344 701 387 1,597 1,336 343 54 831 211 607 60 521 578 240 1,575 1,542 510 514 1,531 637 972 675 1,194 1,582 365 291 667

1,286 678 473 371 466 164 388 273 1,347 717 152 32 549 139 347 37 207 260 127 667 884 340 270 616 399 598 395 529 952 197 151 406

289 144 92 79 86 22 84 57 325 135 24 6 98 24 75 8 33 54 24 101 190 65 67 147 90 112 86 115 196 44 33 99

875 456 331 245 310 123 255 186 861 497 107 21 385 91 235 24 147 172 78 485 591 231 171 394 244 412 260 332 660 125 98 262

415 76 214 125 241 17 127 67 410 198 24 18 38 25 97 18 76 87 113 224 192 134 69 195 240 132 199 238 276 70 54 51

48 14 28 23 33 2 20 9 40 35 3 2 5 4 13 1 12 10 13 33 28 19 10 27 30 19 28 29 41 11 7 9

6,850 3,687 4,345 3,183 4,441 1,202 3,042 1,644 8,173 5,443 1,341 209 3,288 1,046 2,635 221 1,846 2,166 1,066 5,963 6,590 2,504 1,938 5,714 3,092 4,327 2,812 4,864 7,262 1,329 1,112 3,031 (continued)

243 48 162 70 152 12 76 47 248 129 17 9 26 16 67 11 49 52 72 150 133 79 40 111 150 90 126 145 183 39 31 33

Appendix 1 297

39,942 38,413 1,403

Multi-source inventory Field inventory SE of ﬁeld inventory

792 2,623 1,731 523 2,584 1,175 977 94 326

250 228 2,438 2,153 395 354 1,471 374

Total

Riihimäki Sammatti Sysmä Tammela Tuulos Tuusula Vihti Ypäjä

Kaakkois-Suomi Municipality 44 Elimäki 75 Hamina 142 Iitti 153 Imatra 163 Jaala 173 Joutseno 285 Kotka 286 Kouvola 306 Kuusankoski

694 737 781 834 855 858 927 981 Total

Table 7b (continued)

325 871 632 244 1,105 568 378 28 105

18,876

106 96 1,273 893 190 147 631 179

Logs

Pine

433 1,623 1,015 260 1,359 567 550 61 204

19,573

134 123 1,089 1,181 192 188 779 186

Pulpwood Logs

352 141 1,856 1,758 620 498 1,418 397

255 123 1,854 1,497 485 444 1,145 365

Pulpwood

1,646 2,618 2,737 608 1,618 1,267 992 107 423

785 1,134 1,268 274 678 592 437 45 184

782 1,348 1,326 307 847 616 499 56 216

79,131 40,915 34,503 78,980 2,274

634 276 3,895 3,440 1,158 986 2,694 799

(1,000 m3)

Total

Spruce

350 573 746 227 818 499 354 39 137

20,166 20,667 744

141 85 1,553 906 201 240 743 165

Total

93 57 1,045 637 143 156 499 116

Pulpwood

66 97 134 50 142 113 63 6 22

237 393 501 150 577 331 248 26 93

4,259 13,512

30 15 370 157 33 49 168 26

Logs

Birch

109 149 235 75 213 178 102 13 42

6,336 7,915 503

54 17 553 107 66 115 363 26

Total

33 10 355 80 46 70 245 19

Pulpwood

14 16 27 11 18 27 8 1 4

72 98 154 41 148 98 69 8 27

854 4,048

11 3 68 11 9 15 51 3

Logs

Other deciduous tree species

2,897 5,963 5,449 1,433 5,232 3,120 2,424 253 928

145,575 145,976 3,138

1,079 605 8,438 6,606 1,820 1,696 5,272 1,364

All tree species

298 Appendix 1

48,993 48,444 1,467

Multi-source inventory Field inventory SE of ﬁeld inventory

198 1,217 2,855 870 1,417 1,749 503 3,524 523 650 746

3,090 1,014 3,702 1,912 2,272 1,022 1,626 5,702 3,285 2,689 1,995 2,146 4,325 1,593 1,796

Lappeenranta Lemi Luumäki Miehikkälä Parikkala Pyhtää-Pyttis Rautjärvi Ruokolahti Savitaipale Anjalankoski Suomenniemi Taipalsaari Valkeala Virolahti Ylämaa

Pirkanmaa Municipality 20 Akaa 108 Hämeenkyrö 143 Ikaalinen 177 Juupajoki 211 Kangasala 250 Kihniö 289 Kuhmalahti 303 Kuru 310 Kylmäkoski 418 Lempäälä 493 Mouhijärvi

405 416 441 489 580 624 689 700 739 754 775 831 909 935 978 Total

77 489 1,058 366 600 498 214 1,255 211 285 283

18,996

1,189 455 1,237 571 993 409 758 2,383 1,337 882 910 1,009 1,570 504 533

112 671 1,656 466 756 1,155 270 2,104 290 337 424

27,619

1,746 517 2,270 1,225 1,178 565 809 3,053 1,791 1,670 995 1,053 2,536 991 1,147

1,810 502 1,640 783 689 564 725 1,634 889 1,259 329 508 1,445 544 780

1,654 449 1,767 940 941 627 748 1,762 950 1,535 400 565 1,707 676 907

372 2,393 3,069 1,556 2,583 630 1,087 3,191 905 1,674 1,236

163 1,071 1,420 753 1,167 244 503 1,433 430 764 541

185 1,181 1,467 721 1,257 339 522 1,567 424 814 617

43,397 19,496 21,626 44,529 1,713

3,625 996 3,585 1,824 1,734 1,263 1,554 3,593 1,937 2,951 774 1,134 3,331 1,293 1,786

131 760 1,004 411 825 495 326 1,040 242 450 345

14,221 13,921 618

907 348 877 354 827 477 642 1,566 909 705 486 668 1,057 268 387

17 87 110 55 113 36 49 107 34 56 41

2,779

178 77 162 53 145 99 133 349 208 122 119 153 187 41 57

95 567 738 301 597 374 235 768 175 333 252

9,633

624 233 607 250 557 325 430 1,031 598 484 316 440 722 183 279

24 144 135 61 178 59 72 115 36 94 61

3,800 4,692 334

260 107 191 76 339 130 223 345 168 176 92 180 261 59 78

161 67 129 50 193 86 126 193 114 115 56 103 175 38 52

3 24 15 8 20 6 8 13 4 14 10

725 4,514 7,062 2,898 5,003 2,932 1,989 7,870 1,706 2,868 2,388

110,411 111,585 2,475

7,882 2,466 8,355 4,166 5,172 2,892 4,045 11,206 6,299 6,522 3,347 4,129 8,974 3,212 4,046

(continued)

17 95 92 41 125 43 51 77 24 64 40

400 2,371

37 14 23 10 18 13 23 34 11 23 6 24 24 6 10

Appendix 1 299

Multi-source inventory Field inventory SE of ﬁeld inventory

Mänttä Nokia Orivesi Parkano Pirkkala Punkalaidun Pälkäne Ruovesi Tampere Urjala Valkeakoski Vammala Vesilahti Vilppula Virrat Ylöjärvi Äetsä

Etelä-Savo Municipality 46 Enonkoski 90 Heinävesi

506 536 562 581 604 619 635 702 837 887 908 912 922 933 936 980 988 Total

Table 7b (continued)

1,552 4,401

44,055 43,606 1,298

209 810 2,565 3,977 187 953 1,678 3,227 1,473 1,404 630 2,547 869 1,912 5,398 1,181 785

Total

736 1,385

16,865

91 342 1,049 1,265 84 391 750 1,366 614 586 270 963 390 845 1,767 481 278

Logs

Pine

759 2,821

25,141

110 429 1,402 2,507 95 530 872 1,728 792 759 335 1,456 444 990 3,339 645 467

Pulpwood Logs 172 700 2,302 726 200 890 1,824 2,294 1,469 1,217 640 1,736 996 1,397 1,579 1,046 419

169 783 2,309 873 221 764 1,846 2,212 1,474 1,161 695 1,854 893 1,326 1,792 1,048 467

Pulpwood

1,612 5,567

698 2,671

811 2,563

60,555 28,094 28,982 58,378 1,815

360 1,578 4,883 1,717 448 1,740 3,883 4,751 3,112 2,514 1,421 3,826 1,990 2,874 3,593 2,219 950

(1,000 m3)

Total

Spruce

551 1,483

17,995 18,109 669

121 423 1,216 973 129 363 1,064 1,129 817 645 439 1,072 399 803 1,465 634 275

Total 88 308 874 717 96 256 749 822 608 465 316 784 291 580 1,079 470 200

Pulpwood

112 263

368 986

2,179 13,138

15 53 168 81 16 42 176 147 104 88 61 127 54 106 132 75 32

Logs

Birch

187 477

3,106 4,328 360

18 83 234 119 29 62 308 170 166 100 97 170 71 122 218 119 42

Total

13 55 159 84 19 40 209 116 111 68 68 113 47 85 154 79 28

Pulpwood

13 47

105 258

407 2,115

2 14 28 12 5 6 50 19 26 14 10 27 11 13 22 19 7

Logs

Other deciduous tree species

3,901 11,928

125,711 124,421 2,648

708 2,894 8,898 6,786 792 3,118 6,933 9,277 5,567 4,662 2,587 7,615 3,330 5,710 10,674 4,153 2,052

All tree species

300 Appendix 1

72,167 72,397 1,766

Multi-source inventory Field inventory SE of ﬁeld inventory

949 3,223 3,573 1,351 1,405 929 1,661 2,337 717 3,047

2,552 2,169 5,663 5,170 3,052 8,184 5,956 1,413 7,025 3,224 6,152 2,326 3,358 4,804 1,717 3,448

Hirvensalmi Joroinen Juva Kangasniemi Kerimäki Mikkeli Mäntyharju Pertunmaa Pieksämäki Punkaharju Puumala Rantasalmi Ristiina Savonlinna Savonranta Sulkava

Etelä-Pohjanmaa Municipality 4 Alahärmä 5 Alajärvi 10 Alavus 52 Evijärvi 74 Halsua 95 Himanka 145 Ilmajoki 151 Isojoki 152 Isokyrö 164 Jalasjärvi

97 171 178 213 246 491 507 588 593 618 623 681 696 740 741 768 Total

221 986 1,173 344 269 197 533 674 167 873

31,715

1,216 905 2,519 2,421 1,285 3,972 2,664 685 2,705 1,563 2,742 1,000 1,599 2,081 747 1,490

656 2,010 2,166 909 1,001 659 1,020 1,498 481 1,974

37,500

1,249 1,160 2,908 2,545 1,641 3,929 3,048 682 3,973 1,536 3,131 1,233 1,637 2,533 905 1,812

688 1,568 2,797 2,431 848 3,361 1,139 781 3,601 827 580 1,151 804 1,063 815 913

865 1,239 2,502 2,163 1,184 3,372 1,521 798 3,047 966 865 1,184 1,019 1,503 978 1,037

358 715 907 565 151 389 1,514 1,679 709 1,189

106 294 381 217 48 131 672 681 270 512

225 375 471 320 84 231 765 909 390 608

57,486 26,734 27,618 58,939 1,733

1,646 2,948 5,571 4,833 2,163 7,084 2,846 1,662 7,038 1,889 1,536 2,467 1,931 2,717 1,921 2,056

254 715 696 351 404 341 453 735 320 685

24,981 26,304 823

1,107 859 1,988 1,833 1,053 3,290 1,696 930 2,546 873 1,572 874 1,144 1,541 673 967

728 559 1,305 1,189 716 2,158 1,145 628 1,717 576 1,081 586 767 1,059 434 651

14 30 34 19 12 9 35 39 24 28

190 529 515 265 296 266 318 570 228 503

4,983 16,653

251 172 410 401 181 749 324 204 435 165 310 162 243 263 154 183

34 69 63 38 60 33 88 110 59 83

6,703 7,629 473

362 261 523 485 282 946 374 226 585 224 238 345 281 438 216 253

226 162 312 297 171 570 207 137 349 127 123 184 162 257 123 135

2 5 6 2 1 1 24 14 6 6

1,594 4,722 5,238 2,305 2,020 1,692 3,715 4,862 1,805 5,003

161,336 165,270 2,567

5,668 6,236 13,745 12,321 6,550 19,504 10,872 4,230 17,195 6,210 9,498 6,012 6,714 9,501 4,527 6,724

(continued)

27 47 43 28 40 24 53 83 41 59

446 3,907

39 17 35 36 12 80 26 21 37 6 4 22 21 9 14 7

Appendix 1 301

175 217 218 232 233 236 281 300 301 315 399 403 408 414 421 429 544 584 743 759 846 849 863

Jurva Kannus Karijoki Kauhajoki Kauhava Kaustinen Kortesjärvi Kuortane Kurikka Kälviä Laihia Lappajärvi Lapua Lehtimäki Lestijärvi Lohtaja Nurmo Perho Seinäjoki Soini Teuva Toholampi Töysä

Table 7b (continued)

1,381 1,482 590 4,226 1,646 1,230 1,193 2,137 1,435 2,336 1,309 1,680 2,418 1,178 1,807 1,473 1,225 2,686 1,947 2,643 1,641 1,993 1,525

Total

466 326 188 1,024 462 283 290 789 505 521 384 441 747 418 438 322 380 485 525 816 553 522 570

Logs

Pine

832 1,038 367 2,878 1,070 839 811 1,222 852 1,622 833 1,125 1,509 695 1,212 1,031 764 1,929 1,272 1,649 995 1,325 864

Pulpwood Logs

1,396 466 472 1,570 600 283 447 739 910 806 1,413 564 1,144 288 417 511 541 279 604 768 1,432 569 509

552 159 169 601 233 104 161 320 385 287 569 217 475 120 169 171 226 95 250 327 559 236 235

(1,000 m3)

Total

Spruce

769 271 277 875 332 160 257 382 475 467 757 312 609 152 217 304 285 156 314 393 797 297 248

Pulpwood

498 635 170 856 400 380 298 375 329 834 628 489 656 226 495 491 312 478 538 531 490 734 212

Total

30 15 9 35 23 10 14 23 14 23 40 22 40 9 19 14 12 14 25 23 23 26 13

Logs

Birch

379 494 127 658 299 286 225 272 242 636 455 374 478 165 362 376 225 329 396 390 371 553 151

Pulpwood

73 47 22 95 40 26 30 28 47 67 109 44 93 21 76 42 37 107 63 58 60 103 18

Total

9 1 3 8 3 0 2 2 6 2 11 4 5 1 0 1 2 3 8 3 7 0 1

Logs

52 34 15 74 29 19 23 19 32 51 81 32 64 14 49 33 27 71 43 38 42 74 12

Pulpwood

Other deciduous tree species

3,348 2,630 1,253 6,747 2,686 1,918 1,968 3,280 2,720 4,044 3,459 2,777 4,311 1,712 2,795 2,517 2,116 3,551 3,153 4,002 3,622 3,399 2,264

All tree species

302 Appendix 1

Multi-source inventory Field inventory SE of ﬁeld inventory

Ullava Veteli Vimpeli Vähäkyrö Ylihärmä Ylistaro Ähtäri

Keski-Suomi Municipality 77 Hankasalmi 172 Joutsa 179 Jyväskylä 180 Jyväskylän mlk 182 Jämsä 183 Jämsänkoski 216 Kannonkoski 226 Karstula 249 Keuruu 256 Kinnula 265 Kivijärvi 275 Konnevesi 277 Korpilahti 291 Kuhmoinen 312 Kyyjärvi 410 Laukaa 415 Leivonmäki 435 Luhanka 495 Multia 500 Muurame

885 924 934 942 971 975 989 Total

1,950 1,546 288 1,579 4,364 1,604 2,140 3,901 5,658 1,880 2,293 1,908 2,199 2,568 1,731 2,255 1,544 723 3,418 467

69,546 69,119 1,780

633 1,814 1,087 262 317 1,184 3,876

823 627 112 627 1,792 607 667 1,044 2,013 480 668 770 874 1,072 429 910 569 284 1,014 184

19,528

151 441 286 72 76 362 1,246

1,036 845 161 873 2,369 912 1,343 2,584 3,334 1,262 1,476 1,041 1,214 1,372 1,168 1,232 897 402 2,195 258

44,979

432 1,224 715 171 217 735 2,379

64 241 127 135 59 389 780

72 324 162 233 110 547 807

3,313 2,904 464 2,362 6,852 1,909 1,510 1,920 4,577 786 1,196 2,760 3,488 4,013 530 3,165 1,936 1,157 2,225 770

1,675 1,376 226 1,153 3,333 906 661 838 2,185 311 516 1,338 1,687 2,006 205 1,538 893 545 1,023 373

1,503 1,396 218 1,109 3,187 910 763 968 2,150 415 605 1,303 1,651 1,828 288 1,492 954 558 1,086 364

29,209 11,727 15,740 29,533 1,328

144 598 307 394 180 1,000 1,682

855 913 130 621 1,757 524 540 911 1,389 480 498 732 906 883 347 828 549 370 841 199

18,605 19,862 704

185 579 314 165 110 440 802

138 443 235 117 81 311 571

169 175 24 120 286 85 60 76 144 31 44 136 169 170 20 160 105 68 89 36

573 609 87 409 1,216 347 376 640 962 344 351 493 599 575 248 550 360 247 577 132

881 13,820

5 24 16 13 9 32 62

276 378 53 206 448 161 108 152 221 79 90 217 332 342 50 269 150 149 134 78

2,332 3,127 302

24 81 39 67 18 65 97

17 56 27 54 14 43 59

11 18 2 11 32 8 5 7 5 3 4 8 16 20 2 13 8 7 6 4

6,393 5,742 936 4,768 13,422 4,198 4,299 6,885 11,845 3,225 4,076 5,617 6,925 7,806 2,657 6,517 4,179 2,399 6,618 1,514

119,692 121,642 2,713

985 3,072 1,746 887 625 2,689 6,457

(continued)

172 242 34 131 292 100 64 87 126 43 50 133 211 223 27 169 98 95 81 48

183 1,645

0 8 4 3 1 8 7

Appendix 1 303

67,430 67,987 1,589

Multi-source inventory Field inventory SE of ﬁeld inventory

1,794 1,332 2,680 1,509 1,796 3,660 3,365 1,590 3,761 1,172 1,877

1,879 4,501 1,604 3,819 1,383 1,524 4,921 3,783

Total

Petäjävesi Pihtipudas Pylkönmäki Saarijärvi Toivakka Uurainen Viitasaari Äänekoski

Pohjois-Savo Municipality 140 Iisalmi 174 Juankoski 204 Kaavi 227 Karttula 239 Keitele 263 Kiuruvesi 297 Kuopio 402 Lapinlahti 420 Leppävirta 476 Maaninka 534 Nilsiä

592 601 633 729 850 892 931 992 Total

Table 7b (continued)

538 516 1,102 603 590 920 1,495 493 1,739 422 652

23,414

661 1,238 468 1,315 554 537 1,680 1,395

Logs

Pine

1,143 749 1,446 825 1,097 2,481 1,713 1,005 1,849 688 1,124

40,147

1,114 2,951 1,035 2,288 761 900 2,949 2,175

Pulpwood Logs

971 1,211 417 1,621 893 724 2,286 1,705

981 1,463 458 1,684 917 720 2,503 1,914

Pulpwood

3,170 2,308 3,452 2,492 1,861 3,619 6,562 2,808 7,445 2,535 3,655

1,505 1,209 1,818 1,256 867 1,492 3,482 1,388 4,024 1,288 1,896

1,502 997 1,477 1,120 893 1,876 2,797 1,281 3,103 1,134 1,595

69,413 32,617 33,387 67,746 2,139

2,048 2,864 927 3,470 1,895 1,513 5,056 3,804

(1,000 m3)

Total

Spruce

999 622 926 792 687 1,867 1,759 858 1,940 627 1,017

21,432 22,323 734

588 1,258 398 1,124 562 424 1,656 1,148

Total

387 894 276 764 373 278 1,157 778

Pulpwood

91 86 141 129 77 113 316 86 387 85 117

720 437 647 551 492 1,364 1,214 619 1,327 446 726

3,161 14,602

97 106 38 160 109 73 218 194

Logs

Birch

305 258 330 290 164 404 748 259 760 235 390

5,671 5,827 357

167 259 65 248 179 111 448 302

Total

105 150 38 148 115 70 274 185

Pulpwood

11 9 8 10 7 16 25 9 25 10 14

178 159 204 184 102 249 479 156 491 145 236

278 3,510

9 10 3 12 9 6 25 13

Logs

Other deciduous tree species

6,268 4,520 7,388 5,082 4,509 9,550 12,435 5,516 13,905 4,568 6,939

163,946 163,883 2,932

4,682 8,882 2,993 8,661 4,019 3,573 12,081 9,036

All tree species

304 Appendix 1

52,309 49,831 1,443

Multi-source inventory Field inventory SE of ﬁeld inventory

3,901 13,541 4,949 6,862 2,289 4,009 4,325 2,177 17,766 3,146 5,893 3,620 786 1,878

3,691 1,919 4,055 859 4,699 2,624 1,118 1,611 1,580 1,342 1,471 2,804

Pielavesi Rautalampi Rautavaara Siilinjärvi Sonkajärvi Suonenjoki Tervo Tuusniemi Varkaus Varpaisjärvi Vesanto Vieremä

Pohjois-Karjala Municipality 45 Eno 146 Ilomantsi 167 Joensuu 176 Juuka 248 Kesälahti 260 Kitee 276 Kontiolahti 309 Outokumpu 422 Lieksa 426 Liperi 541 Nurmes 607 Polvijärvi 632 Pyhäselkä 707 Rääkkylä

595 686 687 749 762 778 844 857 915 916 921 925 Total

1,352 3,651 1,624 1,895 892 1,475 1,822 861 5,230 1,120 1,578 1,041 301 708

18,215

1,154 784 1,061 337 1,166 1,137 429 709 673 421 544 727

2,329 8,956 3,099 4,578 1,278 2,326 2,303 1,221 11,466 1,886 3,926 2,418 452 1,105

31,099

2,307 1,035 2,735 479 3,203 1,358 629 817 844 843 846 1,884

2,283 1,215 1,398 965 1,729 2,054 837 1,512 1,026 1,061 900 1,031

2,359 1,206 1,697 818 2,158 1,784 804 1,209 911 1,000 926 1,323

2,884 4,369 4,543 4,233 824 2,888 2,004 1,402 6,192 2,312 4,268 2,055 1,153 1,479

1,298 1,704 2,001 1,885 301 1,247 887 529 2,569 963 1,745 830 504 695

1,409 2,362 2,323 2,086 469 1,464 1,003 783 3,177 1,205 2,254 1,092 593 715

73,947 36,238 33,971 71,029 2,097

4,909 2,541 3,311 1,865 4,167 4,009 1,725 2,855 2,033 2,170 1,920 2,534

1,399 2,460 1,738 1,802 578 1,351 1,251 756 3,812 1,064 2,091 1,204 482 890

24,428 25,339 795

1,666 831 1,635 483 2,088 1,077 516 817 575 703 603 1,339

1,194 569 1,180 340 1,521 740 359 559 370 506 414 971

216 194 255 171 79 200 113 80 339 169 190 127 70 113

986 1,625 1,191 1,252 398 908 918 573 2,562 734 1,422 879 337 629

3,056 17,268

172 148 110 69 123 199 83 148 129 67 97 81

237 391 323 485 171 310 266 299 657 326 470 430 127 198

7,543 9,064 523

479 282 338 212 385 344 191 343 201 210 173 241

293 178 209 133 230 216 118 213 109 125 108 144

4 8 10 16 3 5 10 3 24 22 11 5 1 7

8,419 20,761 11,553 13,381 3,862 8,558 7,847 4,635 28,427 6,848 12,722 7,309 2,548 4,445

158,226 155,263 2,729

10,745 5,574 9,338 3,419 11,339 8,054 3,550 5,627 4,389 4,425 4,167 6,919

(continued)

112 190 150 259 93 120 138 165 351 196 255 256 84 111

275 4,660

22 11 10 7 12 15 7 11 13 7 8 7

Appendix 1 305

23,257

85,187 82,632 1,724

25,473

1,439 1,716 6,909 914 2,082 796 2,492 5,702 1,208

81,617 78,937 1,862

Multi-source inventory Field inventory SE of ﬁeld inventory

1,282 640

Logs

Pine

5,330 7,915 22,216 3,691 8,119 2,955 10,622 19,254 5,084

3,832 2,645

Total

Tohmajärvi Valtimo

Kainuu Municipality 105 Hyrynsalmi 205 Kajaani 290 Kuhmo 578 Paltamo 620 Puolanka 697 Ristijärvi 765 Sotkamo 777 Suomussalmi 785 Vaala Total Multi-source inventory Field inventory SE of ﬁeld inventory

848 911 Total

Table 7b (continued)

56,149

3,540 5,614 13,860 2,561 5,456 1,978 7,458 12,199 3,482

51,553

2,384 1,827

Pulpwood Logs

1,292 713

1,332 1,031

Pulpwood

846 414 2,191 598 1,412 616 1,682 2,159 115

1,441 870 4,366 1,018 2,484 1,071 2,965 4,502 203

31,520 10,032 18,921 32,626 1,471

2,474 1,447 7,155 1,745 4,188 1,826 5,086 7,243 357

45,236 19,162 23,296 46,997 1,712

2,767 1,865

(1,000 m3)

Total

Spruce

20,709 21,566 618

1,422 2,319 4,234 1,248 2,196 1,053 3,320 3,749 1,168

22,806 24,006 723

928 1,000

Total

591 683

Pulpwood

981 1,650 2,753 899 1,561 757 2,304 2,571 823 482 14,300

33 34 104 36 63 33 89 70 20

2,553 15,689

144 93

Logs

Birch

2,310 2,500 246

142 266 471 152 224 117 446 372 120

5,177 5,948 406

236 249

Total

117 126

Pulpwood

78 172 248 87 124 61 260 232 87 86 1,348

7 10 11 4 7 3 21 14 9

136 2,725

5 2

Logs

Other deciduous tree species

139,726 139,324 2,499

9,369 11,947 34,076 6,836 14,726 5,950 19,474 30,617 6,729

154,836 155,889 2,529

7,762 5,759

All tree species

306 Appendix 1

Pohjois-Pohjanmaa Municipality 9 Alavieska 69 Haapajärvi 71 Haapavesi 72 Hailuoto 84 Haukipudas 139 Ii 208 Kalajoki 244 Kempele 247 Kestilä 255 Kiiminki 305 Kuusamo 317 Kärsämäki 425 Liminka 436 Lumijoki 483 Merijärvi 494 Muhos 535 Nivala 563 Oulainen 564 Oulu 567 Oulunsalo 603 Piippola 615 Pudasjärvi 617 Pulkkila 625 Pyhäjoki 626 Pyhäsalmi 630 Pyhäntä 678 Raahe 682 Rantsila 691 Reisjärvi

843 3,031 3,610 724 1,411 4,462 2,319 330 2,326 1,240 14,585 2,663 1,668 581 885 2,496 1,474 1,923 1,073 543 1,897 16,567 1,625 1,833 5,066 3,527 1,817 2,642 2,000

171 721 867 173 303 918 402 67 434 248 3,929 563 242 110 175 525 381 439 240 110 353 2,815 302 337 1,035 707 393 438 397

613 2,098 2,506 484 995 3,172 1,731 233 1,696 895 9,676 1,919 1,251 420 654 1,743 1,001 1,361 754 384 1,395 12,316 1,199 1,358 3,693 2,551 1,278 1,957 1,436

284 1,288 1,310 85 506 1,564 553 66 199 409 6,593 763 138 103 407 293 810 1,009 347 140 284 4,554 305 631 1,936 379 639 325 430

91 429 347 26 140 360 120 17 47 105 1,912 206 38 27 123 77 286 335 91 32 67 1,159 81 154 597 93 189 81 159

169 757 838 53 324 1,051 370 44 128 267 4,197 485 87 68 251 188 471 601 227 95 186 2,997 195 412 1,175 246 399 210 235

244 1,119 1,977 218 504 2,261 748 133 751 330 2,750 1,226 735 317 349 650 564 919 346 182 749 3,453 646 898 2,042 979 832 963 480

6 43 37 1 8 24 15 1 9 4 32 26 6 2 5 5 16 13 4 2 9 40 8 15 54 13 10 9 21

180 834 1,523 149 377 1,700 556 94 532 240 1,988 897 507 219 274 461 438 733 259 133 547 2,452 473 694 1,513 690 635 691 336

42 234 353 40 70 308 75 21 79 37 455 273 87 50 64 76 115 184 55 27 103 394 95 149 298 116 176 113 95

2 8 11 2 4 19 4 1 5 2 6 11 6 2 2 5 4 6 4 1 6 6 6 10 10 5 14 7 3

1,413 5,672 7,250 1,066 2,492 8,595 3,695 550 3,355 2,015 24,384 4,925 2,628 1,050 1,704 3,514 2,963 4,035 1,820 892 3,033 24,968 2,671 3,511 9,342 5,001 3,464 4,042 3,005 (continued)

26 158 263 30 45 211 41 16 58 22 257 209 68 39 45 56 80 140 37 19 75 232 71 94 190 82 118 83 48

Appendix 1 307

Multi-source inventory Field inventory SE of ﬁeld inventory

Sievi Siikajoki Taivalkoski Tyrnävä Utajärvi Vihanti Yli-Ii Ylikiiminki Ylivieska

Lapland Municipality 47 Enontekiö 148 Inari 240 Kemi 241 Keminmaa 261 Kittilä 273 Kolari 320 Kemijärvi 498 Muonio 583 Pelkosenniemi

746 748 832 859 889 926 972 973 977 Total

Table 7b (continued)

4,009 39,403 101 862 14,309 6,919 11,080 5,856 4,360

115,979 113,490 2,371

2,967 3,383 7,410 1,290 6,123 1,686 2,358 3,732 1,867

Total

799 6,757 11 133 2,915 1,586 2,116 1,643 735

24,036

641 631 1,716 194 1,205 330 426 695 401

Logs

Pine

3,024 30,503 80 642 10,431 4,798 8,072 3,938 3,257

82,797

2,097 2,444 5,212 961 4,361 1,215 1,714 2,696 1,329

Pulpwood Logs

322 2,514 187 1,236 5,542 1,833 1,997 1,172 1,294

34,447 38,386 1,713

554 595 3,751 86 604 431 515 770 790

312 393 2,402 55 390 272 359 519 459

Pulpwood

80 685 64 330 1,155 230 320 281 199

217 1,700 109 791 3,880 1,347 1,444 792 927

9,669 21,887

195 151 1,102 22 142 122 95 176 275

(1,000 m3)

Total

Spruce

827 3,974 147 1,130 5,267 1,776 1,926 831 1,424

35,871 37,256 1,006

753 1,345 1,676 434 1,253 656 720 950 721

Total 543 962 1,162 301 920 492 519 698 556

Pulpwood

0 0 1 14 35 16 11 5 5

399 2,194 108 832 3,756 1,245 1,284 544 918

560 26,281

26 9 29 4 19 7 6 7 14

Logs

Birch

17 58 15 83 244 121 111 45 107

5,327 5,726 383

109 197 260 40 129 107 70 95 136

Total

59 153 160 30 96 74 46 73 96

Pulpwood

0 0 0 1 15 1 4 0 5

1 27 10 57 129 68 43 24 60

225 3,601

6 8 3 3 7 7 3 6 6

Logs

Other deciduous tree species

5,175 45,949 450 3,313 25,363 10,649 15,114 7,904 7,186

191,624 194,859 3,335

4,383 5,521 13,097 1,851 8,109 2,879 3,664 5,547 3,515

All tree species

308 Appendix 1

614 683 698 732 742 751 758 845 851 854 890 976 Total

Multi-source inventory Field inventory SE of ﬁeld inventory

Posio Ranua Rovaniemi Salla Savukoski Simo Sodankylä Tervola Tornio Pello Utsjoki Ylitornio

197,409 195,529 4,726

9,127 7,415 21,864 13,670 17,735 3,007 23,516 2,871 1,443 4,825 256 4,780

6,549 5,588 15,906 10,085 13,095 2,042 17,186 2,182 1,113 3,374 211 3,352

37,891 145,426

1,940 1,098 4,039 2,624 3,490 627 4,928 396 181 990 7 874

670 223 748 1,518 1,305 246 1,636 434 551 200 5 214

1,881 1,315 4,562 4,162 3,246 915 4,719 1,829 1,576 1,201 18 1,311

54,437 11,091 37,942 58,948 2,452

2,752 1,783 6,119 6,217 4,965 1,312 6,835 2,581 2,341 1,631 24 1,779 46,419 48,261 1,532

1,312 1,605 4,611 3,530 2,842 2,006 5,666 1,901 1,981 1,487 59 2,116

938 1,045 3,255 2,466 2,003 1,468 3,858 1,345 1,424 1,034 18 1,477

312 31,611

11 6 48 30 21 21 11 18 30 11 0 19 2,762 3,117 278

140 114 363 349 139 116 156 156 169 134 0 124

65 59 197 204 54 79 66 103 111 76 0 78 84 1,512

1 2 8 18 2 2 11 6 4 1 0 2

301,026 305,854 5,598

13,331 10,916 32,957 23,766 25,681 6,442 36,172 7,508 5,934 8,077 339 8,800

Appendix 1 309

4 1 0 4 0 4 2 43

417 438 478 736 766 771 941 Total

Lemland Lumparland Mariehamn Saltvik Sottunga Sund Vårdö

0 3 4 4 2 5 5 2 0

Åland Municipality 35 Brändö 43 Eckerö 60 Finström 62 Föglö 65 Geta 76 Hammarland 170 Jomala 295 Kumlinge 318 Kökar

1 0 0 2 0 1 1 15

0 1 1 1 1 2 2 1 0

Stem and bark Branches

Pine

1 0 0 1 0 0 0 5

0 0 1 0 0 1 1 0 0 1 0 0 1 0 1 0 9

– 1 1 0 1 1 1 0 – 1 0 0 0 0 0 0 4

– 0 0 0 0 1 1 0 – 0 0 0 0 0 0 0 3

– 0 0 0 0 0 0 0 –

(1,000 t)

Stem and Foliage bark Branches Foliage

Spruce

11 2 1 6 1 7 3 90

3 8 11 6 4 12 12 3 1 3 0 0 2 0 2 1 25

1 2 3 2 1 3 3 1 0 1 0 0 1 0 1 0 9

0 1 1 1 0 1 1 0 0

Stem and bark Branches Foliage

Deciduous tree species

17 3 1 11 1 11 6 142

3 13 16 11 7 18 19 5 1

5 1 0 4 0 4 2 45

1 4 5 3 2 6 6 2 0

2 0 0 1 0 1 1 17

0 2 2 1 1 2 2 1 0

Stem and bark Branches Foliage

All tree species

Table 8a The biomass by forestry centres and by tree species of the tree compartments available for energy wood in young thinning stands (forest land) where cutting proposed for first 5-year-period, estimated removal 28–43%.

310 Appendix 1

Rannikko/Etelärannikko Municipality 40 Dragsfjärd 49 Espoo-Esbo 78 Hanko-Hangö 91 HelsinkiHelsingfors 92 Vantaa-Vanda 101 HoutskärHoutskari 149 Ingå-Inkoo 150 Iniö 220 Karis-Karjaa 235 KauniainenGrankulla 243 Kimito-Kemiö 257 KirkkonummiKyrkslätt 279 Korpo-Korppoo 407 LapinjärviLappträsk 424 Liljendal 434 LoviisaLovisa

3 2 2 1

2 3

2 1 2 0

2 2

2 3

1 1

14 7 9 3

7 10

8 3 6 0

10 6

7 10

4 3

0 0

1 1

1 1

1 0 1 0

1 1

1 1 1 0

6 5

1 20

4 5

4 1 5 0

5 1

1 5 3 2

2 2

0 7

2 2

2 0 2 0

2 0

1 2 1 1

1 1

0 4

1 1

1 0 1 0

1 0

0 1 1 1

7 3

1 22

6 23

13 0 6 0

23 0

3 24 12 12

2 1

0 6

2 6

3 0 2 0

6 0

1 6 3 4

1 0

0 2

1 2

1 0 1 0

2 0

0 2 1 1

16 10

9 53

20 35

25 4 17 1

35 11

18 36 24 17

5 3

3 16

6 10

7 1 5 0

10 3

5 10 7 5

(continued)

2 2

1 8

3 4

3 1 3 0

4 1

2 4 3 2

Appendix 1 311

Nagu-Nauvo Pargas-Parainen PernåPernaja Pohja-Pojo PorvooBorgå RuotsinpyhtääStrömfors Sipoo-Sibbo Siuntio-Sjundeå EkenäsTammisaari Västanfjärd

Rannikko/Pohjanmaa Municipality 231 Kaskinen-Kaskö 272 Kokkola-Karleby 280 Korsnäs

923 Total

753 755 835

701

606 638

533 573 585

Table 8a (continued)

0 15 10

4 287

0 4 3

1 71

5 2 11

4

15

21 6 42

4 8

2 2 5

14 38

6 8 24

Stem and bark Branches

Pine

0 2 1

0 27

2 1 4

2

1 3

1 1 2

0 4 2

1 233

17 5 17

23

6 51

4 3 37

0 1 1

1 87

6 2 7

8

2 19

2 2 13

0 1 1

0 55

4 1 4

5

2 11

1 1 8

(1,000 t)

Stem and Foliage bark Branches Foliage

Spruce

0 16 11

2 356

24 13 28

27

7 52

5 7 35

0 5 3

1 93

6 3 8

7

2 13

2 2 9

0 2 1

0 33

2 1 3

2

1 4

1 1 3

Stem and bark Branches Foliage

Deciduous tree species

1 36 23

8 876

61 24 87

65

27 141

15 18 96

0 10 7

2 250

17 7 25

19

8 40

5 5 27

0 4 3

1 115

8 3 11

9

4 18

2 2 13

Stem and bark Branches Foliage

All tree species

312 Appendix 1

Total

905 945

893

599

598

545 559

440 475 499

288

287

KristinestadKristiinankaupunki KronobyKruunupyy Larsmo-Luoto Malax-Maalahti KorsholmMustasaari Närpes-Närpiö OravaisOravainen JakobstadPietarsaari PedersörePedersören kunta NykarlebyUusikaarlepyy Vaasa-Vasa Vörå-MaxmoVöyriMaksamaa

262

69

1 5

9

37

3 18

11

1

3

46

6 1

19 6

1 5 5

10

40

5 18 18

7

22

27

0 2

4

5

0

2 1

1 2 2

4

3

133

2 15

13

14

2

23 4

3 5 19

9

17

58

1 6

6

6

1

11 2

1 3 9

3

8

36

1 3

3

4

0

7 1

1 2 5

2

5

305

5 30

43

39

4

28 11

4 22 34

33

22

86

2 8

12

11

1

8 3

1 6 10

9

6

35

1 4

5

5

1

3 2

0 3 4

4

2

699

11 64

94

100

10

70 22

13 45 71

82

60

213

4 19

27

28

3

24 7

4 14 25

23

20

(continued)

99

2 9

12

13

1

12 3

2 6 12

10

10

Appendix 1 313

Lounais-Suomi Municipality 6 Alastaro 17 Askainen 19 Aura 50 Eura 51 Eurajoki 73 Halikko 79 Harjavalta 99 Honkajoki 102 Huittinen 181 Jämijärvi 202 Kaarina 214 Kankaanpää 230 Karvia 252 Kiikala 254 Kiikoinen 259 Kisko 262 Kiukainen 271 Kokemäki 284 Koski Tl 304 Kustavi 308 Kuusjoki 319 Köyliö

Table 8a (continued)

11 2 4 33 27 19 8 24 20 17 2 54 30 11 16 13 8 35 6 3 5 14

3 1 1 8 7 5 2 6 4 4 1 14 7 3 4 3 2 9 1 1 1 3

Stem and bark Branches

Pine

1 0 0 3 3 2 1 2 2 2 0 5 3 1 1 1 1 3 1 0 0 1

7 2 2 21 20 7 6 3 18 8 1 21 3 5 8 7 8 25 5 5 2 8

3 1 1 8 8 3 2 1 7 3 0 8 1 2 3 3 3 10 2 2 1 3

2 0 0 6 5 2 2 1 5 2 0 5 1 1 2 2 2 7 1 1 1 2

(1,000 t)

Stem and Foliage bark Branches Foliage

Spruce

12 1 3 26 22 8 7 15 25 13 1 39 18 10 8 11 8 26 8 3 4 11

3 0 1 7 6 2 2 5 6 3 0 11 6 3 2 3 2 7 2 1 1 3

1 0 0 3 2 1 1 2 2 1 0 4 2 1 1 1 1 2 1 0 0 1

Stem and bark Branches Foliage

Deciduous tree species

30 5 8 81 68 34 21 42 63 38 4 114 51 26 32 31 23 86 20 11 11 33

9 2 2 23 20 10 6 12 18 11 1 33 14 7 9 9 7 25 5 3 3 9

4 1 1 11 10 4 3 5 9 5 0 15 6 4 4 4 3 13 3 2 1 5

Stem and bark Branches Foliage

All tree species

314 Appendix 1

400 406 413 419 423 430 442 480 481 482 484 485 501 503 529 531 537 538 561 577 586 587 602 608 609 631 636 680 684

Laitila Lappi Lavia Lemu Lieto Loimaa Luvia Marttila Masku Mellilä Merikarvia Merimasku Muurla Mynämäki Naantali Nakkila Noormarkku Nousiainen Oripää Paimio Perniö Pertteli Piikkiö Pomarkku Pori Pyhäranta Pöytyä Raisio Rauma

43 16 33 2 8 14 13 10 3 4 52 1 3 31 2 8 20 10 5 13 19 5 4 17 30 11 20 1 22

10 4 8 0 2 3 3 3 1 1 13 0 1 7 1 2 5 2 1 3 5 1 1 4 7 3 5 0 5

4 2 3 0 1 1 1 1 0 0 5 0 0 3 0 1 2 1 1 1 2 1 0 2 3 1 2 0 2

23 9 20 1 4 13 13 4 2 2 28 2 2 18 1 10 17 6 2 4 8 3 1 15 22 6 10 1 13

9 3 8 0 1 5 5 2 1 1 11 1 1 7 0 4 6 2 1 1 3 1 1 6 9 3 4 0 5

6 2 5 0 1 4 3 1 1 1 8 0 0 5 0 3 4 1 1 1 2 1 0 4 6 2 3 0 3

26 10 22 1 5 17 10 8 2 3 34 1 3 24 1 13 21 7 4 5 13 5 2 16 28 5 17 1 12

7 2 6 0 1 4 3 2 1 1 9 0 1 6 0 3 6 2 1 1 3 1 0 4 7 1 4 0 3

3 1 2 0 1 2 1 1 0 0 4 0 0 2 0 1 2 1 0 1 1 0 0 2 3 0 2 0 1

92 35 75 3 16 43 36 23 8 9 114 4 8 74 4 31 59 23 12 21 40 13 7 48 80 23 47 3 47

26 10 21 1 5 12 10 6 2 3 33 1 2 21 1 9 17 6 3 6 11 4 2 14 23 7 13 1 14 (continued)

13 5 10 0 2 6 6 3 1 1 16 1 1 10 1 5 8 3 2 3 5 2 1 7 12 3 6 0 7

Appendix 1 315

704 705 734 738 747 761 776 783 784 833 838 853 886 895 906 913 918 920 979 Total

Rusko Rymättylä Salo Sauvo Siikainen Somero Suomusjärvi Säkylä Särkisalo-Finby Taivassalo Tarvasjoki Turku-Åbo Ulvila Uusikaupunki Vahto Vampula Vehmaa Velkua Yläne

Table 8a (continued)

2 4 7 12 43 31 8 8 4 3 4 7 29 30 4 6 9 0 22 1,018

0 1 2 3 11 7 2 2 1 1 1 2 7 7 1 1 2 0 5 247

Stem and bark Branches

Pine

0 0 1 1 4 3 1 1 0 0 0 1 3 3 0 1 1 0 2 99

1 3 3 6 21 23 5 5 3 3 2 3 24 14 2 5 4 0 13 592

0 1 1 2 8 9 2 2 1 1 1 1 10 6 1 2 2 0 5 230

(1,000 t) 0 1 1 1 6 6 1 1 1 1 1 1 7 4 1 1 1 0 3 155

Stem and Foliage bark Branches Foliage

Spruce

1 2 5 6 34 33 6 6 3 2 4 4 29 16 3 7 6 0 18 777

0 0 1 1 9 8 2 2 1 0 1 1 7 4 1 2 2 0 5 205

0 0 1 1 4 3 1 1 0 0 0 1 3 2 0 1 1 0 2 79

Stem and bark Branches Foliage

Deciduous tree species

4 8 15 23 98 88 18 19 10 8 10 15 82 61 9 18 19 1 53 2,387

1 3 4 7 29 25 5 5 3 2 3 4 24 17 3 5 5 0 15 682

1 1 2 3 14 12 3 3 1 1 1 2 12 8 1 3 2 0 7 332

Stem and bark Branches Foliage

All tree species

316 Appendix 1

Häme-Uusimaa Municipality 15 Artjärvi 16 Asikkala 18 Askola 61 Forssa 81 Hartola 82 Hattula 83 Hauho 86 Hausjärvi 98 Hollola 103 Humppila 106 Hyvinkää 109 Hämeenlinna 111 Heinola 165 Janakkala 169 Jokioinen 186 Järvenpää 210 Kalvola 223 Karjalohja 224 Karkkila 245 Kerava 283 Hämeenkoski 316 Kärkölä

3 16 4 6 24 20 5 14 9 1 17 6 33 10 4 1 25 8 7 1 4 7

1 4 1 1 6 4 1 3 2 0 4 1 7 2 1 0 5 2 2 0 1 2

0 1 0 1 2 1 1 1 1 0 2 0 3 1 0 0 2 1 1 0 0 1

8 34 16 6 69 24 18 14 18 1 9 11 47 29 2 1 21 3 9 2 10 11

3 13 5 2 27 9 7 5 7 1 3 4 16 10 1 0 8 1 3 1 4 4

2 8 3 1 16 6 4 3 4 0 2 2 10 6 1 0 5 1 2 0 3 3

8 52 8 7 61 19 13 19 22 3 18 11 63 41 4 2 22 3 16 2 9 12

2 14 2 2 17 5 3 4 6 1 4 3 17 9 1 0 6 1 4 1 2 3

1 5 1 1 6 2 1 2 2 0 2 1 7 3 0 0 2 0 1 0 1 1

19 103 28 18 155 63 37 47 48 5 45 29 144 80 11 4 68 14 31 5 23 30

6 31 8 5 50 18 11 12 15 2 11 8 41 22 3 1 19 4 9 1 7 9

(continued)

3 15 4 3 25 9 6 6 7 1 5 4 19 10 1 0 9 2 4 1 4 5

Appendix 1 317

505 532 540 543 560 576 611 616 692 694 737 781 834 855 858 927 981 Total

398 401 433 444 504

Lahti Lammi Loppi Lohja-Lojo MyrskyläMörskom Mäntsälä Nastola Nummi-Pusula Nurmijärvi Orimattila Padasjoki Pornainen Pukkila Renko Riihimäki Sammatti Sysmä Tammela Tuulos Tuusula Vihti Ypäjä

Table 8a (continued)

21 9 23 16 14 23 4 3 12 4 5 19 19 3 8 24 3 486

3 16 17 10 5

4 2 6 4 4 5 1 1 2 1 1 5 5 1 2 7 1 114

1 4 4 3 1

Stem and bark Branches

Pine

2 1 2 2 2 2 0 0 1 0 0 2 2 0 1 3 0 46

0 2 2 1 1 35 12 16 9 18 29 11 8 14 4 2 68 24 9 9 13 2 730

4 33 28 4 15 11 5 6 3 7 10 4 3 5 1 1 27 8 4 3 5 1 267

2 13 10 1 5 7 3 4 2 4 7 2 2 3 1 0 16 5 2 2 3 0 167

1 8 6 1 3

(1,000 t)

Stem and Foliage bark Branches Foliage

Spruce

26 18 25 26 25 41 10 6 14 8 2 73 31 8 17 44 5 895

7 25 46 13 9 6 5 6 6 6 11 2 1 4 2 1 20 8 2 4 11 1 231

2 7 11 4 2 3 2 3 3 2 4 1 1 1 1 0 7 3 1 2 5 0 85

1 3 4 1 1

Stem and bark Branches Foliage

Deciduous tree species

82 38 64 51 57 93 24 16 40 16 8 161 74 20 34 82 10 2,111

15 74 91 27 29

22 12 18 14 17 26 7 5 11 4 2 52 21 6 9 23 3 612

4 23 25 8 9

11 6 9 6 8 12 3 2 5 2 1 25 10 3 4 11 1 297

2 12 12 4 5

Stem and bark Branches Foliage

All tree species

318 Appendix 1

Kaakkois-Suomi Municipality 44 Elimäki 75 Hamina 142 Iitti 153 Imatra 163 Jaala 173 Joutseno 285 Kotka 286 Kouvola 306 Kuusankoski 405 Lappeenranta 416 Lemi 441 Luumäki 489 Miehikkälä 580 Parikkala 624 Pyhtää-Pyttis 689 Rautjärvi 700 Ruokolahti 739 Savitaipale 754 Anjalankoski 775 Suomenniemi 831 Taipalsaari 909 Valkeala 935 Virolahti 978 Ylämaa Total

16 68 43 9 54 19 15 3 11 71 19 97 45 43 17 28 132 77 69 46 39 110 37 42 1,110

4 16 10 2 11 4 3 1 3 16 4 22 11 10 3 6 27 16 16 9 8 24 9 10 245

1 6 4 1 4 2 1 0 1 6 2 9 4 4 1 2 11 6 6 3 3 10 3 4 96

17 30 30 17 26 32 11 2 6 42 15 34 18 44 21 33 69 36 34 17 28 46 14 17 640

6 11 11 6 9 12 4 1 2 15 5 12 7 18 7 13 26 13 12 6 10 17 5 7 234

4 7 7 4 6 7 2 0 1 9 3 8 5 11 5 8 16 8 8 4 6 10 3 4 147

19 25 40 12 36 29 17 2 8 48 19 34 12 42 25 36 74 39 37 17 36 48 8 12 676

5 7 10 3 9 7 4 1 2 12 5 9 3 12 6 10 20 10 10 5 9 13 2 3 178

2 3 4 2 4 3 2 0 1 4 2 4 1 5 2 4 9 4 4 2 4 6 1 1 75

52 123 113 38 117 79 44 7 24 162 53 164 76 129 63 97 274 153 141 80 103 204 58 71 2,426

15 33 31 11 30 23 12 2 7 43 14 43 21 39 17 29 73 39 38 20 28 53 16 20 656

(continued)

7 16 15 6 14 12 5 1 3 20 7 20 10 20 8 15 36 18 18 10 14 26 8 9 318

Appendix 1 319

Pirkanmaa Municipality 20 Akaa 108 Hämeenkyrö 143 Ikaalinen 177 Juupajoki 211 Kangasala 250 Kihniö 289 Kuhmalahti 303 Kuru 310 Kylmäkoski 418 Lempäälä 493 Mouhijärvi 506 Mänttä 536 Nokia 562 Orivesi 581 Parkano 604 Pirkkala 619 Punkalaidun 635 Pälkäne 702 Ruovesi 837 Tampere 887 Urjala 908 Valkeakoski

Table 8a (continued)

5 21 53 16 29 32 11 70 12 11 16 4 12 52 57 3 2 36 56 27 25 13

1 5 13 4 6 7 2 16 3 3 4 1 3 11 14 1 0 7 13 7 6 3

Stem and bark Branches

Pine

0 2 5 1 2 3 1 6 1 1 2 0 1 4 5 0 0 3 5 3 2 1

6 38 37 18 33 10 13 36 9 26 20 5 25 61 21 7 1 40 50 43 27 18

2 14 14 7 12 4 5 14 4 9 7 2 9 22 8 3 1 14 19 16 10 6

1 9 9 4 8 3 3 9 2 6 5 1 6 15 5 2 0 9 12 10 7 4

(1,000 t)

Stem and Foliage bark Branches Foliage

Spruce

8 47 45 19 52 20 20 41 12 28 18 7 25 63 39 9 2 62 52 45 32 30

2 12 12 5 13 5 5 11 3 7 5 2 6 16 11 2 0 15 13 11 8 8

1 4 4 2 5 2 2 4 1 3 2 1 2 6 4 1 0 5 5 4 3 3

Stem and bark Branches Foliage

Deciduous tree species

19 106 135 52 114 62 43 147 34 65 53 16 63 176 116 19 5 138 158 115 84 61

5 31 39 15 31 17 12 41 9 19 16 5 19 50 32 5 1 37 45 34 24 17

3 15 19 8 15 7 5 20 4 10 8 2 9 25 15 3 1 17 22 17 12 8

Stem and bark Branches Foliage

All tree species

320 Appendix 1

Vammala Vesilahti Vilppula Virrat Ylöjärvi Äetsä

Etelä-Savo Municipality 46 Enonkoski 90 Heinävesi 97 Hirvensalmi 171 Joroinen 178 Juva 213 Kangasniemi 246 Kerimäki 491 Mikkeli 507 Mäntyharju 588 Pertunmaa 593 Pieksämäki 618 Punkaharju 623 Puumala 681 Rantasalmi 696 Ristiina 740 Savonlinna 741 Savonranta 768 Sulkava Total

912 922 933 936 980 988 Total

15 133 40 46 107 73 47 117 120 17 123 36 144 41 56 89 22 60 1,288

56 16 32 101 22 21 810

4 28 9 10 23 17 10 26 25 4 29 8 29 9 12 19 5 13 281

14 4 7 23 6 5 187

1 11 3 4 9 6 4 10 10 1 12 3 11 3 5 7 2 5 107

5 1 3 9 2 2 72

18 128 34 25 62 53 45 113 58 20 62 40 44 23 39 69 26 34 893

53 20 34 49 30 13 744

8 49 12 11 25 21 16 43 22 8 27 14 16 9 14 24 11 12 344

20 7 13 19 11 5 278

5 31 7 7 15 13 10 27 14 5 17 9 10 6 9 15 7 8 214

13 5 9 13 7 4 181

40 60 34 43 88 76 47 124 78 22 130 28 58 49 41 68 36 58 1,080

49 17 42 66 36 12 897

11 17 10 12 25 21 13 34 21 6 36 8 15 14 11 20 11 21 306

13 4 11 17 9 3 231

4 7 6 4 18 8 6 13 9 2 13 3 7 6 5 21 4 49 187

5 2 4 7 3 1 86

74 322 108 114 256 201 139 354 256 59 316 104 247 113 135 225 85 151 3,261

158 54 108 215 88 47 2,451

23 94 30 34 73 59 39 104 69 18 92 30 60 32 37 64 26 46 930

47 16 31 59 25 14 695

(continued)

11 49 17 16 42 28 20 50 33 9 42 15 28 16 19 43 13 62 509

24 8 15 28 12 7 338

Appendix 1 321

Etelä-Pohjanmaa Municipality 4 Alahärmä 5 Alajärvi 10 Alavus 52 Evijärvi 74 Halsua 95 Himanka 145 Ilmajoki 151 Isojoki 152 Isokyrö 164 Jalasjärvi 175 Jurva 217 Kannus 218 Karijoki 232 Kauhajoki 233 Kauhava 236 Kaustinen 281 Kortesjärvi 300 Kuortane 301 Kurikka 315 Kälviä 399 Laihia 403 Lappajärvi

Table 8a (continued)

17 44 46 20 16 20 10 29 9 40 6 32 6 33 27 16 19 31 9 35 11 32

4 10 11 5 4 4 3 7 2 9 2 7 1 8 6 4 4 7 2 8 3 8

Stem and bark Branches

Pine

2 4 4 2 2 2 1 3 1 3 1 3 1 3 3 2 2 3 1 3 1 3

3 5 9 4 1 4 5 7 4 8 5 7 2 13 5 2 3 6 4 5 5 5

1 2 4 1 1 2 2 3 2 3 2 4 1 5 2 1 1 2 2 2 3 2

1 1 2 1 1 1 1 2 1 2 1 3 1 3 1 1 1 1 1 2 2 1

(1,000 t)

Stem and Foliage bark Branches Foliage

Spruce

12 35 38 13 13 22 7 19 9 25 8 39 5 16 18 18 12 15 9 37 19 23

3 10 11 4 4 6 2 5 3 7 2 11 1 5 5 5 3 4 3 10 6 7

1 4 4 1 1 2 1 2 1 3 1 4 1 2 2 2 1 2 1 4 2 3

Stem and bark Branches Foliage

Deciduous tree species

33 84 93 37 31 47 22 54 22 73 19 78 13 62 50 36 33 52 23 76 35 60

9 22 25 10 9 13 7 15 6 19 6 22 4 18 13 10 9 14 7 21 11 16

4 9 11 4 4 6 3 7 3 8 3 10 2 8 6 5 4 6 3 9 5 7

Stem and bark Branches Foliage

All tree species

322 Appendix 1

Lapua Lehtimäki Lestijärvi Lohtaja Nurmo Perho Seinäjoki Soini Teuva Toholampi Töysä Ullava Veteli Vimpeli Vähäkyrö Ylihärmä Ylistaro Ähtäri

Keski-Suomi Municipality 77 Hankasalmi 172 Joutsa 179 Jyväskylä 180 Jyväskylän mlk 182 Jämsä 183 Jämsänkoski 216 Kannonkoski 226 Karstula 249 Keuruu 256 Kinnula

408 414 421 429 544 584 743 759 846 849 863 885 924 934 942 971 975 989 Total

27 26 5 25 70 23 40 60 60 30

38 13 21 24 12 43 27 37 13 29 22 10 32 20 2 6 16 50 924

6 6 1 6 16 5 9 14 14 7

9 3 5 6 3 11 6 8 3 7 5 2 7 4 1 1 4 12 215

3 2 0 2 6 2 4 5 5 3

4 1 2 2 1 4 2 3 1 3 2 1 3 2 0 1 2 5 88

24 35 4 20 64 14 16 16 21 10

10 3 5 4 3 3 3 5 6 3 5 1 5 2 2 2 8 14 199

10 14 2 8 25 6 7 7 9 5

4 1 3 2 1 1 1 2 3 2 2 0 3 1 1 1 3 5 84

6 8 1 5 16 4 5 5 5 3

2 1 3 1 1 1 1 1 2 1 1 0 2 1 1 0 2 4 55

34 45 7 28 77 18 17 23 33 14

32 11 19 26 11 22 22 28 10 27 11 8 22 13 9 6 16 36 743

9 12 2 7 20 5 5 7 9 4

9 3 5 8 3 7 7 8 3 8 3 2 7 4 3 2 5 10 216

3 4 1 3 8 2 2 3 4 2

4 1 2 3 1 2 3 3 1 3 1 1 3 2 1 1 2 4 85

86 106 17 73 211 56 74 99 114 55

80 26 45 54 26 68 52 70 29 60 37 19 60 35 14 15 40 100 1,865

25 31 5 21 60 16 21 28 31 16

21 7 14 15 7 19 14 19 9 16 10 5 17 9 4 4 11 28 515

(continued)

12 15 2 10 30 8 11 14 15 8

10 3 7 6 3 7 6 8 4 7 4 2 8 4 2 2 6 12 228

Appendix 1 323

Kivijärvi Konnevesi Korpilahti Kuhmoinen Kyyjärvi Laukaa Leivonmäki Luhanka Multia Muurame Petäjävesi Pihtipudas Pylkönmäki Saarijärvi Toivakka Uurainen Viitasaari Äänekoski

Pohjois-Savo Municipality 140 Iisalmi 174 Juankoski 204 Kaavi

265 275 277 291 312 410 415 435 495 500 592 601 633 729 850 892 931 992 Total

Table 8a (continued)

31 20 27

39 31 34 33 22 36 18 11 48 8 28 83 23 65 20 22 96 69 1,054

7 5 7

9 7 7 7 5 8 4 3 11 2 6 19 5 15 4 5 22 16 238

Stem and bark Branches

Pine

3 2 3

3 3 3 3 2 3 2 1 4 1 2 8 2 6 2 2 9 6 95

20 19 24

12 22 31 27 5 28 16 13 14 7 17 33 7 30 18 12 52 37 606

9 9 11

5 9 12 10 2 11 6 5 6 3 7 15 3 13 7 5 24 16 251

6 5 7

3 6 8 7 1 7 4 3 4 2 5 10 2 9 4 3 16 11 165

(1,000 t)

Stem and Foliage bark Branches Foliage

Spruce

44 26 29

13 30 37 34 8 35 19 18 18 9 20 40 9 36 25 15 58 44 767

13 8 9

4 8 10 9 2 9 5 5 5 2 5 12 3 10 7 4 17 12 209

2 3 4 4 1 3 2 2 2 1 2 5 1 4 3 1 7 4 82

6 3 3

Stem and bark Branches Foliage

Deciduous tree species

96 66 81

64 84 103 94 34 99 54 42 80 24 65 157 39 131 64 49 205 150 2,427

30 21 27

18 24 29 27 10 28 15 12 22 7 18 46 11 38 18 14 62 43 697

15 10 13

9 12 14 13 4 14 7 6 11 3 9 23 5 19 9 7 32 21 342

Stem and bark Branches Foliage

All tree species

324 Appendix 1

Karttula Keitele Kiuruvesi Kuopio Lapinlahti Leppävirta Maaninka Nilsiä Pielavesi Rautalampi Rautavaara Siilinjärvi Sonkajärvi Suonenjoki Tervo Tuusniemi Varkaus Varpaisjärvi Vesanto Vieremä

Pohjois-Karjala Municipality 45 Eno 146 Ilomantsi 167 Joensuu 176 Juuka 248 Kesälahti 260 Kitee

227 239 263 297 402 420 476 534 595 686 687 749 762 778 844 857 915 916 921 925 Total

52 335 95 163 46 77

24 29 54 46 28 52 24 31 69 30 54 14 62 36 20 20 31 20 25 40 789

12 75 22 38 10 19

6 7 12 12 7 13 6 8 16 7 14 4 15 9 5 5 7 5 6 9 189

5 30 9 15 4 7

2 3 5 5 3 5 2 3 6 3 5 1 6 4 2 2 2 2 2 4 75

46 59 76 42 27 62

21 17 30 51 20 50 19 29 42 24 29 13 31 28 16 25 17 15 19 18 577

25 30 34 18 10 26

9 8 15 22 9 21 9 13 20 10 14 6 15 11 7 11 6 7 8 9 261

20 18 21 11 6 16

6 5 10 14 6 14 6 8 14 7 10 4 10 7 5 7 4 5 6 6 170

49 128 77 79 30 56

39 23 77 89 38 97 27 46 63 42 83 22 98 47 21 34 25 30 22 61 1,084

14 40 23 24 9 17

11 7 23 24 11 26 8 13 18 11 25 6 30 13 6 10 7 9 6 19 312

5 19 8 9 4 8

4 3 10 10 5 10 3 5 8 4 10 2 13 5 2 4 3 4 3 8 127

148 522 248 283 103 195

84 70 161 185 86 200 69 105 174 96 166 49 190 111 57 79 73 65 66 119 2,450

51 145 78 80 29 62

26 22 50 58 27 60 22 34 54 28 53 16 60 33 18 26 20 21 20 37 762

(continued)

29 68 37 35 14 31

12 11 25 28 13 29 11 16 28 14 25 7 29 16 9 13 9 10 10 18 372

Appendix 1 325

Kontiolahti Outokumpu Lieksa Liperi Nurmes Polvijärvi Pyhäselkä Rääkkylä Tohmajärvi Valtimo

Kainuu Municipality 105 Hyrynsalmi 205 Kajaani 290 Kuhmo 578 Paltamo 620 Puolanka 697 Ristijärvi 765 Sotkamo 777 Suomussalmi 785 Vaala Total

276 309 422 426 541 607 632 707 848 911 Total

Table 8a (continued)

93 166 383 72 82 69 240 169 87 1,361

60 29 408 52 136 89 7 12 91 51 1,703

25 43 96 17 23 19 61 47 23 354

13 7 93 11 33 19 2 3 23 13 391

Stem and bark Branches

Pine

10 17 37 7 9 7 24 20 10 141

5 2 36 4 13 7 1 1 9 5 151

20 23 55 18 22 16 51 28 8 242

22 31 72 34 36 40 15 29 56 19 665

10 11 28 8 11 8 24 15 4 118

9 12 36 14 17 16 7 12 22 8 296

7 7 19 5 7 5 15 10 2 77

6 8 23 9 11 11 4 7 13 5 189

(1,000 t)

Stem and Foliage bark Branches Foliage

Spruce

53 144 144 64 66 36 194 92 56 849

64 63 168 24 66 85 16 35 40 34 1,014

17 46 48 19 22 12 61 31 18 275

17 17 51 7 20 23 4 9 12 10 298

7 19 21 8 9 5 24 17 7 116

6 7 24 3 8 8 2 4 5 4 122

Stem and bark Branches Foliage

Deciduous tree species

166 333 582 154 170 122 485 289 151 2,452

146 123 648 110 237 214 38 76 187 104 3,382

52 100 171 45 56 39 146 93 45 747

39 37 180 32 70 58 13 23 57 31 985

24 43 78 20 25 17 63 46 19 334

17 16 83 16 32 26 7 11 27 14 462

Stem and bark Branches Foliage

All tree species

326 Appendix 1

Pohjois-Pohjanmaa Municipality 9 Alavieska 69 Haapajärvi 71 Haapavesi 72 Hailuoto 84 Haukipudas 139 Ii 208 Kalajoki 244 Kempele 247 Kestilä 255 Kiiminki 305 Kuusamo 317 Kärsämäki 425 Liminka 436 Lumijoki 483 Merijärvi 494 Muhos 535 Nivala 563 Oulainen 564 Oulu 567 Oulunsalo 603 Piippola 615 Pudasjärvi 617 Pulkkila 625 Pyhäjoki 626 Pyhäsalmi 630 Pyhäntä 678 Raahe 682 Rantsila

16 77 86 6 29 94 44 7 57 28 116 67 37 10 20 60 24 44 25 12 51 270 45 38 120 83 36 68

4 17 20 1 7 25 12 2 16 7 35 16 10 3 5 16 5 10 6 3 14 73 12 10 26 21 10 19

2 7 8 1 3 10 5 1 7 3 15 6 5 1 2 7 2 4 3 1 6 29 5 4 10 9 4 8

2 19 24 1 6 28 4 1 2 5 19 20 2 1 4 4 7 10 4 2 6 39 4 5 44 6 3 3

1 8 12 0 3 13 2 0 1 2 10 9 1 0 2 2 3 4 2 1 3 20 2 3 21 3 2 1

1 6 8 0 2 9 2 0 1 2 6 5 1 0 1 1 2 3 1 1 2 13 1 2 14 2 2 1

7 64 115 21 32 150 29 13 41 22 74 90 62 35 12 48 26 44 24 16 46 129 37 37 135 53 52 55

2 19 33 6 9 45 9 4 12 7 25 26 19 10 4 15 7 13 7 5 14 43 11 11 39 16 15 16

1 9 13 3 3 18 3 2 5 3 10 10 8 4 1 6 3 5 3 2 6 18 5 4 17 7 6 7

26 159 226 27 67 272 77 20 100 55 209 177 101 46 36 113 57 98 53 30 102 438 87 80 299 142 92 125

8 44 64 8 19 84 23 6 29 16 71 50 30 13 10 33 16 27 15 9 30 137 25 24 86 40 27 36

(continued)

3 21 28 4 8 36 10 3 13 7 31 22 13 6 5 14 7 12 7 4 13 60 11 10 41 18 12 16

Appendix 1 327

Reisjärvi Sievi Siikajoki Taivalkoski Tyrnävä Utajärvi Vihanti Yli-Ii Ylikiiminki Ylivieska

Lapland Municipality 47 Enontekiö 148 Inari 240 Kemi 241 Keminmaa 261 Kittilä 273 Kolari 320 Kemijärvi 498 Muonio 583 Pelkosenniemi 614 Posio

691 746 748 832 859 889 926 972 973 977 Total

Table 8a (continued)

2 128 1 11 90 71 166 15 64 152

71 72 64 95 28 120 38 50 102 43 2,248

1 45 1 4 23 19 50 4 19 49

16 17 17 28 8 29 10 13 26 10 580

Stem and bark Branches

Pine

0 23 0 2 10 9 22 2 8 20

6 6 8 11 3 12 4 5 11 4 237

0 1 1 24 15 15 24 2 17 13

8 6 5 20 1 8 3 11 15 5 357

0 1 1 12 8 8 15 1 10 7

4 4 2 10 1 4 2 6 6 2 173

0 0 0 8 6 6 11 1 7 5

2 3 2 6 0 3 1 4 4 2 115

(1,000 t)

Stem and Foliage bark Branches Foliage

Spruce

4 1 7 56 33 33 60 9 52 38

27 46 110 42 31 72 34 48 62 34 1,975

2 0 2 18 13 12 21 4 18 14

8 14 33 14 9 23 10 15 19 10 596

1 0 1 7 6 6 10 2 8 6

5 7 14 6 4 9 4 6 7 4 247

Stem and bark Branches Foliage

Deciduous tree species

6 130 10 91 138 119 250 26 133 203

106 125 179 156 60 200 74 109 178 82 4,579

2 46 3 34 44 40 86 8 47 70

28 34 52 52 17 56 21 34 52 22 1,348

1 24 1 16 21 20 42 4 23 30

14 16 23 23 8 24 9 15 22 10 598

Stem and bark Branches Foliage

All tree species

328 Appendix 1

683 698 732 742 751 758 845 851 854 890 976 Total

Ranua Rovaniemi Salla Savukoski Simo Sodankylä Tervola Tornio Pello Utsjoki Ylitornio

106 297 213 191 52 116 62 23 58 0 80 1,899

31 79 67 57 16 33 18 7 16 0 23 560

13 33 27 24 7 13 8 3 7 0 11 242

24 67 41 17 18 13 40 50 17 – 26 424

14 37 23 10 10 7 22 26 9 – 14 236

9 24 15 7 7 5 15 16 6 – 10 156

42 158 104 46 86 35 118 112 42 0 98 1,134

15 58 37 17 28 13 41 38 15 0 36 401

7 25 15 8 11 8 18 15 7 0 15 174

172 522 358 254 156 165 220 185 117 0 204 3,457

59 173 127 84 54 54 81 71 40 0 73 1,198

29 82 58 39 25 26 40 34 20 0 35 571

Appendix 1 329

Total

Åland Municipality 35 43 60 62 65 76 170 295 318 417 438 478 736 766 771 941

Brändö Eckerö Finström Föglö Geta Hammarland Jomala Kumlinge Kökar Lemland Lumparland Mariehamn Saltvik Sottunga Sund Vårdö

269

6 24 23 29 14 26 29 13 3 22 8 1 29 3 21 17

Branches, foliage and stem residual

Pine

277

5 27 25 27 15 28 33 11 2 24 8 1 30 2 22 17

Stump and large roots

214

0 22 23 13 12 22 31 3 0 23 6 1 25 1 19 12 134

0 13 15 8 7 14 19 2 0 14 4 1 15 1 12 7

(1,000 t)

Branches, Stump foliage and and large stem residual roots

Spruce

All tree species

245

61 13 14 16 7 18 16 25 7 14 4 1 16 5 13 13 105

21 7 7 7 4 9 9 10 2 8 2 0 8 2 6 5

727

67 60 60 58 33 66 77 41 10 60 18 3 69 9 53 41

516

26 47 47 42 26 51 61 23 4 46 14 2 53 5 40 29

Branches, foliage Branches, Stump and foliage and and large stem Stump and stem residual roots large roots residual

Deciduous tree species

Table 8b The biomass by tree species of the tree compartments available for energy wood in mature stands (forest land) (By forestry centres).

330 Appendix 1

Rannikko/Etelärannikko Municipality 40 Dragsfjärd 49 Espoo-Esbo 78 Hanko-Hangö 91 Helsinki-Helsingfors 92 Vantaa-Vanda 101 Houtskär-Houtskari 149 Ingå-Inkoo 150 Iniö 220 Karis-Karjaa 235 Kauniainen-Grankulla 243 Kimito-Kemiö 257 Kirkkonummi-Kyrkslätt 279 Korpo-Korppoo 407 Lapinjärvi-Lappträsk 424 Liljendal 434 Loviisa-Lovisa 533 Nagu-Nauvo 573 Pargas-Parainen 585 Pernå-Pernaja 606 Pohja-Pojo 638 Porvoo-Borgå 701 Ruotsinpyhtää-Strömfors 753 Sipoo-Sibbo 755 Siuntio-Sjundeå 835 Ekenäs-Tammisaari 923 Västanfjärd Total

71 31 14 9 11 46 45 24 20 0 64 38 40 18 6 4 54 58 27 33 38 19 23 28 121 23 865

76 38 18 11 14 42 53 22 24 1 70 47 37 24 8 6 51 56 32 42 42 23 26 34 141 26 965

42 80 14 21 34 34 89 14 34 1 46 103 32 75 26 13 47 42 112 46 135 54 69 76 138 18 1,394

24 54 9 16 26 18 53 8 22 1 27 66 18 45 16 8 24 22 70 32 89 34 56 53 96 11 897

19 43 6 16 23 9 41 7 19 1 13 52 9 29 8 5 9 15 39 6 35 33 28 22 33 4 525

6 22 5 7 14 5 19 4 9 0 4 20 4 17 5 3 4 6 23 5 19 22 16 12 19 1 271

132 154 34 45 69 90 175 46 74 2 124 193 81 122 39 23 111 115 177 85 208 105 120 125 292 45 2,785

106 114 32 34 53 65 124 34 55 1 102 133 58 86 28 17 80 84 126 79 151 80 98 99 255 38 2,133 (continued)

Appendix 1 331

Pine

Branches, foliage and stem residual

Rannikko/Pohjanmaa Municipality 231 Kaskinen-Kaskö 1 272 Kokkola-Karleby 27 280 Korsnäs 13 54 287 KristinestadKristiinankaupunki 288 Kronoby-Kruunupyy 74 440 Larsmo-Luoto 13 475 Malax-Maalahti 29 499 Korsholm-Mustasaari 51 545 Närpes-Närpiö 68 559 Oravais-Oravainen 16 598 Jakobstad-Pietarsaari 7 599 Pedersöre-Pedersören kunta 62 893 Nykarleby-Uusikaarlepyy 51 905 Vaasa-Vasa 10 48 945 Vörå-Maxmo-VöyriMaksamaa Total 524

Table 8b (continued)

3 70 81 218 124 31 136 297 295 51 17 147 147 72 195 1,884

80 14 37 63 83 17 6 71 55 12 55 604

1,235

83 19 87 201 198 33 10 92 87 48 130

2 46 50 148

(1,000 t)

Branches, Stump foliage and and large stem residual roots

1 30 16 65

Stump and large roots

Spruce

All tree species

533

34 12 53 68 61 17 10 58 45 11 68

1 23 28 43

247

17 7 26 32 26 8 5 29 21 5 31

0 12 11 18

2,940

233 56 218 415 425 84 34 267 243 93 311

5 120 122 314

2,087

180 40 150 296 307 58 21 192 163 66 216

4 87 77 230

Branches, foliage Branches, Stump and foliage and and large stem Stump and stem residual roots large roots residual

Deciduous tree species

332 Appendix 1

Lounais-Suomi Municipality 6 Alastaro 17 Askainen 19 Aura 50 Eura 51 Eurajoki 73 Halikko 79 Harjavalta 99 Honkajoki 102 Huittinen 181 Jämijärvi 202 Kaarina 214 Kankaanpää 230 Karvia 252 Kiikala 254 Kiikoinen 259 Kisko 262 Kiukainen 271 Kokemäki 284 Koski Tl 304 Kustavi 308 Kuusjoki 319 Köyliö 400 Laitila 406 Lappi 413 Lavia 419 Lemu 423 Lieto 430 Loimaa 442 Luvia 480 Marttila 481 Masku 19 9 10 46 34 40 9 31 19 15 6 52 41 40 8 45 9 38 11 30 12 24 66 26 27 5 26 22 13 19 12

25 10 14 60 44 53 13 35 26 18 6 66 46 51 11 57 12 51 16 32 16 32 84 32 36 5 33 31 10 26 13

46 6 18 93 71 52 15 9 79 28 5 75 21 66 33 69 22 84 42 19 23 53 107 44 57 4 38 99 67 39 13

36 4 13 68 52 37 12 6 66 19 3 50 16 48 25 47 16 65 33 10 18 38 74 32 38 3 26 78 50 29 8

10 2 3 18 17 12 4 9 12 8 1 25 16 13 7 14 4 17 7 12 5 8 24 9 18 1 6 14 17 10 3 6 7 6 1 3 5 3 0 9 5 6 4 6 2 7 2 5 2 3 8 3 9 1 3 5 7 4 1

3 1 2

74 17 32 157 122 104 29 49 110 50 11 152 78 119 49 128 35 138 60 61 40 86 197 79 102 10 69 134 97 68 27

(continued)

64 15 28 135 103 96 26 43 97 40 9 125 67 105 40 111 30 123 52 46 35 73 166 68 83 9 62 114 67 58 23

Appendix 1 333

482 484 485 501 503 529 531 537 538 561 577 586 587 602 608 609 631 636 680 684 704 705 734

Mellilä Merikarvia Merimasku Muurla Mynämäki Naantali Nakkila Noormarkku Nousiainen Oripää Paimio Perniö Pertteli Piikkiö Pomarkku Pori Pyhäranta Pöytyä Raisio Rauma Rusko Rymättylä Salo

Table 8b (continued)

4 39 10 11 56 8 8 33 25 12 30 64 18 10 39 35 23 48 5 38 6 26 17

Branches, foliage and stem residual

Pine

6 49 11 15 71 9 12 43 32 15 38 82 24 12 53 38 29 62 5 47 7 27 22

Stump and large roots 15 68 7 15 97 5 31 95 48 24 28 86 27 9 103 135 32 94 4 52 7 17 24

12 45 4 10 69 3 25 70 35 16 19 60 19 6 72 100 19 65 3 35 4 9 16

(1,000 t)

Branches, Stump foliage and and large stem residual roots

Spruce

All tree species

3 20 2 3 18 1 4 26 7 6 5 17 6 2 28 31 11 20 1 16 2 8 5

1 8 1 1 6 1 2 12 2 2 2 7 3 1 12 14 4 8 0 6 1 3 2

23 126 19 29 171 15 44 154 80 41 63 167 50 21 171 201 65 161 11 106 14 51 46

19 101 16 26 146 13 38 125 70 33 59 149 45 19 138 153 51 136 8 88 12 39 41

Branches, foliage Branches, Stump and foliage and and large stem Stump and stem residual roots large roots residual

Deciduous tree species

334 Appendix 1

Sauvo Siikainen Somero Suomusjärvi Säkylä Särkisalo-Finby Taivassalo Tarvasjoki Turku-Åbo Ulvila Uusikaupunki Vahto Vampula Vehmaa Velkua Yläne

Häme-Uusimaa Municipality 15 Artjärvi 16 Asikkala 18 Askola 61 Forssa 81 Hartola 82 Hattula 83 Hauho 86 Hausjärvi 98 Hollola 103 Humppila 106 Hyvinkää 109 Hämeenlinna 111 Heinola

738 747 761 776 783 784 833 838 853 886 895 906 913 918 920 979 Total

13 51 21 8 48 15 27 13 27 2 12 9 123

29 38 53 28 20 13 21 11 23 33 75 9 9 22 6 42 1,763

19 75 30 11 76 22 41 18 38 3 17 12 170

33 50 70 35 26 17 23 14 26 44 86 11 12 25 5 54 2,203

55 142 66 73 65 77 83 90 119 36 84 36 91

29 67 153 45 36 16 13 18 20 83 62 18 30 18 3 84 3,114

33 114 45 53 53 57 63 70 93 28 69 27 68

18 42 121 34 26 11 7 12 13 60 39 13 24 10 2 61 2,234

14 53 25 6 82 15 10 25 30 1 22 7 106

8 18 26 6 5 5 5 3 6 24 23 3 7 4 2 14 726

6 33 9 4 44 12 7 14 15 0 11 5 52

3 7 11 3 2 2 2 2 2 11 8 1 3 2 1 5 290

82 246 113 87 196 107 119 128 176 39 118 52 320

65 123 231 80 62 35 39 32 49 140 160 29 45 45 12 140 5,603

(continued)

58 222 85 69 173 91 110 103 146 31 97 44 290

55 99 201 72 53 31 32 28 41 115 134 25 39 37 8 120 4,727

Appendix 1 335

165 169 186 210 223 224 245 283 316 398 401 433 444 504 505 532 540 543 560 576 611 616 692

Janakkala Jokioinen Järvenpää Kalvola Karjalohja Karkkila Kerava Hämeenkoski Kärkölä Lahti Lammi Loppi Lohja-Lojo Myrskylä-Mörskom Mäntsälä Nastola Nummi-Pusula Nurmijärvi Orimattila Padasjoki Pornainen Pukkila Renko

Table 8b (continued)

29 5 1 11 15 16 1 9 8 8 37 32 25 20 19 32 34 13 36 61 9 7 17

Branches, foliage and stem residual

Pine

38 7 1 15 18 19 2 12 11 11 49 37 33 29 28 48 44 18 53 87 13 10 21

Stump and large roots 145 42 5 88 20 76 5 39 63 27 132 177 72 67 196 53 81 68 166 196 36 37 81

116 32 4 67 15 58 4 28 48 20 103 141 50 41 156 37 61 52 118 159 27 28 60

(1,000 t)

Branches, Stump foliage and and large stem residual roots

Spruce

All tree species

30 4 1 8 2 20 1 9 13 10 22 44 15 24 37 36 23 22 45 36 14 11 17

18 3 1 6 1 13 1 5 8 5 13 26 13 10 22 21 17 13 20 17 5 5 12

204 52 7 107 37 112 7 56 83 44 190 253 112 110 252 121 138 103 247 293 58 55 115

172 42 6 88 34 90 7 45 67 36 164 204 96 80 206 106 122 83 191 263 45 42 94

Branches, foliage Branches, Stump and foliage and and large stem Stump and stem residual roots large roots residual

Deciduous tree species

336 Appendix 1

Riihimäki Sammatti Sysmä Tammela Tuulos Tuusula Vihti Ypäjä

Kaakkois-Suomi Municipality 44 Elimäki 75 Hamina 142 Iitti 153 Imatra 163 Jaala 173 Joutseno 285 Kotka 286 Kouvola 306 Kuusankoski 405 Lappeenranta 416 Lemi 441 Luumäki 489 Miehikkälä 580 Parikkala 624 Pyhtää-Pyttis 689 Rautjärvi 700 Ruokolahti 739 Savitaipale 754 Anjalankoski 775 Suomenniemi 831 Taipalsaari

694 737 781 834 855 858 927 981 Total

23 67 45 13 75 30 25 2 8 68 28 81 37 44 23 38 122 82 60 56 57

3 7 70 33 11 6 43 4 990

31 90 60 18 106 42 33 3 11 97 40 116 53 67 32 57 181 120 83 82 80

5 9 103 45 14 9 56 6 1,383

96 164 151 18 97 40 48 6 24 184 50 212 94 67 57 57 175 136 170 67 45

32 11 89 169 39 46 135 40 3,448

75 116 112 14 64 30 32 4 18 143 37 156 70 48 42 41 126 97 122 43 33

26 7 70 130 30 36 91 29 2,619

23 42 50 19 78 42 26 2 8 57 27 55 13 62 33 53 132 87 51 54 61

8 2 76 30 5 9 47 2 1,019

15 15 24 12 40 27 12 1 3 32 15 26 6 31 20 30 73 51 22 32 37

4 1 43 22 3 5 34 1 582

141 273 246 50 250 112 99 10 40 309 105 348 144 173 114 148 429 306 281 178 163

44 20 235 231 55 61 225 47 5,457

(continued)

121 221 197 44 210 99 78 8 32 272 92 298 128 146 94 128 381 268 226 157 149

35 18 216 197 47 51 181 36 4,584

Appendix 1 337

Pirkanmaa Municipality 20 108 143 177 211 250 289 303 310 418 493 506 536 562 581 604

909 935 978 Total

Akaa Hämeenkyrö Ikaalinen Juupajoki Kangasala Kihniö Kuhmalahti Kuru Kylmäkoski Lempäälä Mouhijärvi Mänttä Nokia Orivesi Parkano Pirkkala

Valkeala Virolahti Ylämaa

Table 8b (continued)

3 25 58 18 30 28 11 68 9 14 15 5 17 53 74 4

106 35 32 1,158

Branches, foliage and stem residual

Pine

5 35 75 25 42 35 15 89 13 20 21 7 24 73 92 6

151 47 45 1,644

Stump and large roots

17 116 175 84 124 35 52 192 46 87 62 17 77 267 106 22

201 67 93 2,318

13 86 124 63 94 22 40 133 34 67 45 13 55 201 71 16

140 50 68 1,680

(1,000 t)

Branches, Stump foliage and and large stem residual roots

Spruce

All tree species

4 28 42 18 33 22 13 47 7 19 14 4 17 54 41 5

89 14 12 1,091

2 14 19 8 15 8 6 19 4 10 6 2 8 26 14 3

44 6 6 579

24 170 274 120 186 85 77 307 63 120 91 26 111 374 221 31

397 116 136 4,567

20 135 218 95 151 66 62 241 51 97 72 23 88 300 177 25

335 103 119 3,904

Branches, foliage Branches, Stump and foliage and and large stem Stump and stem residual roots large roots residual

Deciduous tree species

338 Appendix 1

Etelä-Savo Municipality 46 90 97 171 178 213 246 491 507 588 593 618 623 681 696 740

619 635 702 837 887 908 912 922 933 936 980 988 Total

Enonkoski Heinävesi Hirvensalmi Joroinen Juva Kangasniemi Kerimäki Mikkeli Mäntyharju Pertunmaa Pieksämäki Punkaharju Puumala Rantasalmi Ristiina Savonlinna

Punkalaidun Pälkäne Ruovesi Tampere Urjala Valkeakoski Vammala Vesilahti Vilppula Virrat Ylöjärvi Äetsä

40 72 68 42 114 125 65 202 138 36 118 72 114 36 78 91

2 39 78 33 25 12 51 19 49 105 25 15 884

60 113 99 67 177 201 95 322 217 57 184 108 166 57 121 134

3 57 107 45 36 17 68 27 71 136 35 20 1,198

77 212 56 164 275 256 80 305 128 48 438 97 69 98 72 73

10 153 263 159 128 64 208 125 157 212 119 50 3,126

56 151 40 124 211 189 55 235 84 35 322 67 44 77 53 49

8 114 194 121 94 50 155 95 119 147 89 37 2,301

34 92 103 45 123 127 55 246 135 70 118 63 143 53 101 104

1 48 55 38 21 15 43 19 33 76 26 11 755

18 49 61 24 70 72 34 138 76 43 62 28 69 24 58 61

0 26 22 18 12 8 19 10 15 29 12 4 342

151 376 227 252 512 508 200 753 401 154 673 232 326 188 251 268

14 240 396 229 175 91 302 163 238 393 170 76 4,765

(continued)

134 313 200 215 458 462 184 695 377 135 567 203 280 157 232 244

12 197 323 184 142 75 242 132 205 313 136 61 3,841

Appendix 1 339

Savonranta Sulkava

Etelä-Pohjanmaa Municipality 4 Alahärmä 5 Alajärvi 10 Alavus 52 Evijärvi 74 Halsua 95 Himanka 145 Ilmajoki 151 Isojoki 152 Isokyrö 164 Jalasjärvi 175 Jurva 217 Kannus 218 Karijoki 232 Kauhajoki 233 Kauhava 236 Kaustinen

741 768 Total

Table 8b (continued)

20 61 83 37 23 19 39 66 18 77 39 25 19 91 41 22

40 72 1,523

Branches, foliage and stem residual

Pine

25 72 98 42 24 21 47 77 21 87 44 27 22 102 48 23

62 103 2,342

Stump and large roots

28 63 80 41 7 30 186 133 76 110 137 31 47 103 48 21

88 68 2,604

17 45 56 28 4 20 122 95 49 73 91 20 29 67 34 14

69 50 1,911

(1,000 t)

Branches, Stump foliage and and large stem residual roots

Spruce

All tree species

15 24 29 16 6 9 49 50 24 43 28 9 11 52 19 2

43 66 1,721

7 10 12 8 2 6 18 22 10 16 12 5 5 24 8 1

26 39 952

62 148 192 94 36 58 274 250 118 230 204 65 77 246 108 44

171 205 5,848

49 126 166 78 29 47 187 193 79 176 148 53 56 193 90 38

157 192 5,206

Branches, foliage Branches, Stump and foliage and and large stem Stump and stem residual roots large roots residual

Deciduous tree species

340 Appendix 1

281 300 301 315 399 403 408 414 421 429 544 584 743 759 846 849 863 885 924 934 942 971 975 989 Total

Kortesjärvi Kuortane Kurikka Kälviä Laihia Lappajärvi Lapua Lehtimäki Lestijärvi Lohtaja Nurmo Perho Seinäjoki Soini Teuva Toholampi Töysä Ullava Veteli Vimpeli Vähäkyrö Ylihärmä Ylistaro Ähtäri

28 68 44 52 39 33 62 28 38 29 28 28 39 47 45 39 54 13 30 19 11 10 37 109 1,607

34 84 53 53 44 39 73 34 41 32 32 30 46 55 53 42 62 13 32 22 12 11 42 122 1,841

39 66 93 62 150 42 101 30 30 35 53 10 55 77 147 37 44 12 47 25 41 15 111 124 2,587

27 46 59 42 102 31 67 22 21 23 35 8 38 53 92 25 32 8 34 18 27 9 70 84 1,736

13 19 32 14 47 21 42 8 8 9 22 6 25 24 24 4 10 2 23 14 17 8 37 42 859

6 8 11 8 18 8 16 4 4 5 8 1 10 8 11 4 5 1 5 5 7 3 11 19 351

81 153 169 128 236 97 204 66 77 73 103 44 119 148 215 80 108 26 100 58 69 33 185 275 5,053 (continued)

67 138 123 103 164 78 157 59 66 60 75 39 93 115 155 71 99 22 71 45 46 23 123 225 3,928

Appendix 1 341

Keski-Suomi Municipality 77 172 179 180 182 183 216 226 249 256 265 275 277 291 312 410 415 435 495 500

Hankasalmi Joutsa Jyväskylä Jyväskylän mlk Jämsä Jämsänkoski Kannonkoski Karstula Keuruu Kinnula Kivijärvi Konnevesi Korpilahti Kuhmoinen Kyyjärvi Laukaa Leivonmäki Luhanka Multia Muurame

Table 8b (continued)

46 35 6 36 99 31 42 64 81 28 45 42 52 64 30 50 34 16 57 11

Branches, foliage and stem residual

Pine

70 53 9 51 142 44 55 82 110 35 58 61 74 92 37 73 46 23 76 16

Stump and large roots

169 122 23 120 373 91 91 130 177 50 82 144 181 220 44 165 100 54 137 40

128 95 18 95 280 69 67 92 129 34 56 111 142 162 29 128 76 42 100 31

(1,000 t)

Branches, Stump foliage and and large stem residual roots

Spruce

All tree species

60 57 9 46 108 37 38 57 50 27 37 53 66 70 20 61 35 26 49 15

26 27 4 20 45 16 13 18 19 7 11 22 30 29 6 26 16 12 17 7

276 214 39 202 580 158 170 251 307 105 163 239 300 353 94 276 169 96 243 65

224 175 32 167 467 129 136 191 258 76 125 194 245 283 71 227 138 77 192 53

Branches, foliage Branches, Stump and foliage and and large stem Stump and stem residual roots large roots residual

Deciduous tree species

342 Appendix 1

Pohjois-Savo Municipality 140 174 204 227 239 263 297 402 420 476 534 595 686 687 749 762 778 844 857

592 601 633 729 850 892 931 992 Total

Iisalmi Juankoski Kaavi Karttula Keitele Kiuruvesi Kuopio Lapinlahti Leppävirta Maaninka Nilsiä Pielavesi Rautalampi Rautavaara Siilinjärvi Sonkajärvi Suonenjoki Tervo Tuusniemi

Petäjävesi Pihtipudas Pylkönmäki Saarijärvi Toivakka Uurainen Viitasaari Äänekoski

30 28 48 34 30 40 84 25 93 22 35 56 44 46 18 57 61 23 41

38 71 28 78 32 29 96 77 1,318

41 40 69 50 41 53 127 35 150 32 50 78 66 58 26 71 94 34 62

54 92 36 109 46 41 134 111 1,829

252 153 195 133 125 270 380 207 419 163 262 346 129 247 122 323 212 96 173

113 192 59 213 94 87 327 209 3,808

182 111 142 99 92 189 280 153 297 121 194 250 96 172 90 226 156 71 123

88 133 42 164 72 69 241 163 2,855

40 32 55 50 43 56 119 40 137 36 45 86 52 46 30 53 79 30 53

45 77 23 80 37 36 116 84 1,416

19 14 24 22 16 25 53 18 65 15 20 38 23 27 12 26 35 13 25

19 24 8 30 17 15 44 36 564

322 213 299 216 198 366 583 272 649 222 342 489 225 339 170 432 352 148 267

196 341 110 371 163 152 539 371 6,543

(continued)

242 165 235 172 149 267 460 206 512 168 263 366 185 257 128 324 286 117 211

160 250 86 302 135 124 419 310 5247

Appendix 1 343

Varkaus Varpaisjärvi Vesanto Vieremä

Pohjois-Karjala Municipality 45 Eno 146 Ilomantsi 167 Joensuu 176 Juuka 248 Kesälahti 260 Kitee 276 Kontiolahti 309 Outokumpu 422 Lieksa 426 Liperi 541 Nurmes 607 Polvijärvi 632 Pyhäselkä 707 Rääkkylä

915 916 921 925 Total

Table 8b (continued)

51 178 87 103 37 77 86 39 463 59 120 36 16 31

28 21 29 37 931

Branches, foliage and stem residual

Pine

80 226 130 128 53 117 130 59 481 87 152 56 25 49

44 29 42 48 1,340

Stump and large roots

206 358 328 346 26 200 139 64 523 74 368 120 37 59

90 166 114 191 4,769

122 233 212 235 18 133 103 50 343 58 237 88 31 44

72 122 86 135 3,460

(1,000 t)

Branches, Stump foliage and and large stem residual roots

Spruce

All tree species

39 97 73 82 39 54 67 61 192 38 140 76 23 32

36 31 37 39 1,225

29 58 45 41 19 34 29 23 84 20 67 23 14 14

17 15 16 17 555

295 633 489 530 101 331 292 164 1,178 171 628 232 76 122

154 219 180 267 6,924

232 518 387 404 90 284 261 132 908 165 456 166 70 107

133 166 144 200 5,355

Branches, foliage Branches, Stump and foliage and and large stem Stump and stem residual roots large roots residual

Deciduous tree species

344 Appendix 1

Hyrynsalmi Kajaani Kuhmo Paltamo Puolanka Ristijärvi Sotkamo Suomussalmi Vaala

Tohmajärvi Valtimo

Pohjois-Pohjanmaa Municipality 9 Alavieska 69 Haapajärvi 71 Haapavesi 72 Hailuoto 84 Haukipudas 139 Ii 208 Kalajoki 244 Kempele 247 Kestilä 255 Kiiminki 305 Kuusamo 317 Kärsämäki

Kainuu Municipality 105 205 290 578 620 697 765 777 785 Total

848 911 Total

11 46 43 19 26 88 28 4 29 17 545 34

131 164 599 69 174 63 218 658 74 2,150

57 27 1,468

13 55 50 14 27 86 28 4 33 18 545 42

152 187 760 82 185 75 266 694 87 2,487

90 36 1,898

18 55 56 2 31 85 19 2 7 27 1,326 41

376 130 1,082 170 725 269 527 1,431 14 4,723

197 138 3,182

12 40 35 1 18 50 11 1 4 15 757 28

229 85 644 112 444 167 350 787 9 2,828

152 89 2,147

10 45 71 7 13 48 33 2 25 8 290 37

75 50 225 50 152 63 125 291 34 1,064

34 79 1,125

5 19 26 3 5 20 13 1 8 3 131 17

29 19 101 17 61 24 50 122 9 433

20 33 555

40 147 170 28 70 221 80 9 61 51 2,161 113

582 343 1,906 288 1,052 394 870 2,380 123 7,937

288 245 5,775

(continued)

30 114 112 18 50 157 53 6 45 37 1,433 87

410 291 1,506 211 691 266 666 1,603 105 5,748

262 158 4,599

Appendix 1 345

Liminka

Lumijoki Merijärvi Muhos Nivala Oulainen Oulu Oulunsalo Piippola Pudasjärvi Pulkkila Pyhäjoki Pyhäsalmi Pyhäntä Raahe Rantsila Reisjärvi Sievi Siikajoki Taivalkoski Tyrnävä

425

436 483 494 535 563 564 567 603 615 617 625 626 630 678 682 691 746 748 832 859

Table 8b (continued)

5 11 36 26 31 19 8 20 296 16 19 49 50 31 24 32 45 36 175 12

11

Branches, foliage and stem residual

Pine

4 12 37 30 31 20 8 24 293 18 20 60 59 32 25 35 48 35 189 10

10

Stump and large roots

2 20 15 43 58 21 6 10 655 12 20 58 18 37 13 18 30 17 697 2

2 1 13 9 30 35 12 3 7 380 8 13 47 13 25 8 13 21 10 395 1

1

(1,000 t)

Branches, Stump foliage and and large stem residual roots

Spruce

All tree species

5 16 12 27 53 10 3 21 190 19 45 52 43 52 25 17 22 25 168 6

12 2 8 3 10 22 4 1 8 94 7 21 24 17 20 8 4 8 9 88 1

3

12 47 64 96 141 50 17 51 1,141 48 84 159 111 120 61 67 97 78 1,040 20

26

7 33 50 70 88 36 12 38 768 32 53 131 88 77 40 52 77 54 673 13

15

Branches, foliage Branches, Stump and foliage and and large stem Stump and stem residual roots large roots residual

Deciduous tree species

346 Appendix 1

Lapland Municipality 47 148 240 241 261 273 320 498 583 614 683 698 732 742 751 758 845 851 854 890 976 Total

889 926 972 973 977 Total

Enontekiö Inari Kemi Keminmaa Kittilä Kolari Kemijärvi Muonio Pelkosenniemi Posio Ranua Rovaniemi Salla Savukoski Simo Sodankylä Tervola Tornio Pello Utsjoki Ylitornio

Utajärvi Vihanti Yli-Ii Ylikiiminki Ylivieska

318 3,640 1 17 391 194 270 321 103 259 174 473 407 712 96 1,191 54 26 120 2 118 8,888

78 23 36 39 32 2,049

283 3,032 0 13 373 169 258 322 92 224 145 397 403 702 80 1,072 45 21 103 2 94 7,830

85 24 36 38 34 2,133

62 670 8 66 972 241 280 201 173 543 211 721 1,467 1,139 76 1,561 170 136 181 8 141 9,027

48 28 26 57 41 3,624

34 404 6 37 559 120 146 103 92 318 107 362 847 660 44 911 88 74 91 5 76 5,084

28 17 14 31 27 2,136

245 946 1 19 845 173 143 147 116 128 99 363 359 421 89 1,023 85 57 94 5 111 5,470

35 29 13 13 34 1,538

41 246 0 7 336 77 55 44 38 54 38 147 141 118 29 364 35 22 39 2 38 1,875

9 10 6 5 14 657

626 5,256 10 102 2,208 609 693 669 393 930 485 1,557 2,233 2,271 261 3,775 309 219 395 16 370 23,386

161 79 75 108 107 7,211

359 3,683 6 57 1,268 367 460 469 222 596 290 906 1,391 1,481 153 2,346 169 117 232 9 209 14,790

122 50 56 75 75 4,926

Appendix 1 347

Appendix 2

Examples of Forest Resource Maps

Fig. 1 Dominant tree species on forest and poorly productive forest land.

349

350

Appendix 2

Fig. 2 The mean volume of growing stock on forest and poorly productive forest land.

Appendix 2

351

Fig. 3 The mean volume of growing stock on forest and poorly productive forest land in Åland.

Fig. 4 The mean volume of growing stock on forest and poorly productive forest land in Etelärannikko subregion of Rannikko forestry centre.

352 Appendix 2

Appendix 2

353

Fig. 5 The mean volume of growing stock on forest and poorly productive forest land in Pohjanmaan rannikko sub-region of Rannikko forestry centre.

354

Appendix 2

Fig. 6 The mean volume of growing stock on forest and poorly productive forest land in Lounais-Suomi forestry centre.

Appendix 2

355

Fig. 7 The mean volume of growing stock on forest and poorly productive forest land in HämeUusimaa forestry centre.

Fig. 8 The mean volume of growing stock on forest and poorly productive forest land in Kaakkois-Suomi forestry centre.

356 Appendix 2

Appendix 2

357

Fg. 9 The mean volume of growing stock on forest and poorly productive forest land in Pirkanmaa forestry centre.

358

Appendix 2

Fig. 10 The mean volume of growing stock on forest and poorly productive forest land in EteläSavo forestry centre.

Appendix 2

359

Fig. 11 The mean volume of growing stock on forest and poorly productive forest land in Etelä-Pohjanmaa forestry centre.

360

Appendix 2

Fig. 12 The mean volume of growing stock on forest and poorly productive forest land in Keski-Suomi forestry centre.

Appendix 2

361

Fig. 13 The mean volume of growing stock on forest and poorly productive forest land in Pohjois-Savo forestry centre.

362

Appendix 2

Fig. 14 The mean volume of growing stock on forest and poorly productive forest land in Pohjois-Karjala forestry centre.

Appendix 2

363

Fig. 15 The mean volume of growing stock on forest and poorly productive forest land in Kainuu forestry centre.

364

Appendix 2

Fig. 16 The mean volume of growing stock on forest and poorly productive forest land in Pohjois-Pohjanmaa forestry centre.

Appendix 2

365

Fig. 17 The mean volume of growing stock on forest and poorly productive forest land in Lapland forestry centre.

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Index

A Area estimate, 64 age class distribution, 74 development class distribution, 75 dominant tree species, 70 poorly productive forest land, 74

B Biomass estimates, 12, 77

C Calculation unit. See Computation unit Coarse scale forest variable data, 11, 47 Computation unit, 11, 30, 38 forestry centre, 6, 63 municipality, 30, 58, 63, 81 pixel, 11 sub-region, group of municipalities, 63 Confusion matrix, 18,

D DEM. See Digital elevation model Development class, 10 Digital elevation model, 27, 31 Digital map data, 11, 18 1:50,000 topographic map database, Map data II (TOPO50), 19 accuracy of the land use map data, 28 arable land, 23 built-up land, 25 generalisation, 18 Map data I, 19 map errors, 18 map stratum, 18 municipality boundaries, 30

peat production areas, 27 peatlands, 19 raster format, 18 rasterization, 18 roads, 27 topographic database, Map data III (TOPO), 19 urban areas, 25 water areas, 27 Dominant tree species, 10, 70 birch, 73 other deciduous species, 73 pine, 70 spruce, 72

E Empirical semivariogram, 61 Energy wood, 12, 77 Error estimation, 42 bias, 41 independent test data, 79 leave-one-out cross validation, 52, 59 mean square error (RMSE), 52, 59 pixel-level, 59 precision of the multi-source inventory estimates, 79 root mean square error (MSE), 47, 79 small-area estimates, 74 standard error, 42, 63, 65 sub-regions, 63, 81 Error sources, 89, 91 measurement error, 48 Error variances, 60 Estimates, 7 post-stratified, 4 small areas, 3

371

372 F Feature, 43 coarse scale forest variable data, 47 spectral, 44 Field inventory estimates, 41 mean volume, 41 official land areas, 58 ratio estimators, 41 standard error estimators, 42 Field sample plot, 10, 11 centre-point plot, 10 centre-point stand, 10 GPS, 37 plot parts, 10, 45 plot stand, 6, 10 sample tree, 12 sub-plot, 10 sub-plot stand, 10 tally tree, 10, 12 tally tree plot, Bitterlich plot, 10 tree-level volumes, 11 volumes per hectare, 11 Forest land, 8 Forestry land, 8

G Genetic algorithm, 47 mutation probability, 50 number of generations, 50 parameters of the algorithm, 50 radical mutation probability, 50 uniform crossover, 50 Ground truth data, 37 clear-cut plots, 37 stand boundary, 48

I ik-NN. See Improved k-NN method Image. See Satellite image data Improved k-NN method, 47, 81 distance metric, 48 fitness function, objective function, 47, 51 ‘optimal’ weights, 47 Indian Remote Sensing Satellite IRS, 17 LISS III, 17

K k-Nearest Neighbour estimation, 3, 43 distance metric, 43 distance weighting, 44 estimation parameters, 52

Index feature, 44 field plot pixels, 43 geographical horizontal distance, 43 geographical vertical distance, 43 plot weight, plot expansion factor, 43, 45 stratification, 43 k-Nearest Neighbour method. See k-Nearest Neighbour estimation k-NN. See k-Nearest Neighbour estimation

L Land class, 18 Landsat 13, 15 Thematic Mapper (TM), 15 Enhanced Thematic Mapper Plus (ETM+), 16 scan line corrector, 17

M Map errors, 18, 53 calibration method, 18, 53 confusion matrix, 53 correction for map errors, 53 official land areas, 58 stratified MS-NFI, 56 synthetic small-area estimation, 54 Map stratum, 18 mineral soil stratum, 45 peatland stratum, 45 Mean volume of growing stock, 65 birch, 66 other deciduous species, 66 pine, 65 spruce, 65 Model-based approach, 59 error estimation, 59 Model-based method. See Model-based approach MS-NFI. See Multi-source national forest inventory Multi-source national forest inventory, 8 results, 83 stratified MS-NFI, 56

N National forest inventory, 6 NFI9, 6 NFI. See National forest Inventory

Index P Peatland maps, 22 accuracy, 23 Pixel-level prediction, 46 error, 88 Poorly productive forest land, 18 PPF. See Poorly productive forest land

S Sampling design, 6, 8 clusters, 6, 8 line-wise survey sampling, 1 two-phase stratified sampling, 6 Satellite image. See Satellite image data Satellite image data, 11, 13 Indian Remote Sensing Satellite IRS, 17 instantaneous field of view (IFOV), 13 Landsat 13, 15 radiance, 13

373 radiometric correction, 36 rectification, 35 re-sampling, 36 spatial resolution, 13 spectral resolution, 13 Spatial correlation, 61 Stand characteristics, 6 development class, 10 dominant tree species, 10 Stand level data. See Stand characteristics Superpopulation, 61 superpopulation means, 61

T Thematic forest maps, 87 Tree compartments, 12

U Unproductive forest land, 18