Geographic Information Systems as a Tool to Support Monitoring and Assessment of Landscape and Regional Sustainability Kjell Andersson Faculty of Forest Sciences School for Forest Management Skinnskatteberg Doctoral Thesis Swedish University ofAgricultural Sciences Skinnskatteberg 2011 Acta Universitatis Agriculturae Sueciae 2011:92 Cover: Fragmented ownership and forest landscape © Lantmäteriet Gävle 2011. Permission I 2011/0071-0100 ISSN 1652-6880 ISBN 978-91-576-7636-8 © 2011 Kjell Andersson, Skinnskatteberg Print: SLU Service/Repro, Uppsala 2011 Geographic Information Systems as a Tool to Support Monitoring and Assessment of Landscape and Regional Sustainability Abstract New policies in Sweden about intensive forestry and functional green infrastructure require involvement of different sectors for planning of landscapes and regions. However, Sweden has no territorial land-use planning at these spatial scales. Landowners, municipalities and regional governments work separately to implement policies about sustainability. There is thus a growing need for integrated spatial planning, and thus assessments of sustainability at local to regional levels by comparing monitoring results with norms expressed in policies. The aim of this thesis is to analyse and visualise such data using Geographic Information Systems (GIS) to enhance comprehensive spatial planning approaches for cooperation between different planning sectors. In paper I, habitat functionality was modelled for area-demanding focal species’ requirements in five coarse forest types. Also clear- felling rates within and outside functional habitats for each of four forest owner categories were measured. The differences among landowner categories concerning planning for ecological values were linked to how biodiversity-friendly their policies were. Papers II and III analyses how forest management affects two endangered species, and show that GIS-based proxy variables can be used to predict occurrence of both terrestrial and aquatic focal species. Paper IV assesses how Forest Stewardship Council (FSC) contributes to biodiversity conservation in Sweden and Russia. Analyses of structural connectivity and habitat functionality show that the minimum standard in FSC set-asides is not compatible with higher levels of ambition to maintain biodiversity. Paper V explores how planners, locals and tourists perceive landscape values, and how these can be interpreted and used in spatial planning. Paper VI demonstrates a zoning approach to identify green infrastructures and areas suitable for intensive forestry. In paper VII indicators for ecological, economical and socio-cultural values were summarised to compare municipalities’ sustainability. To conclude, there are large opportunities for analysing and visualising data to support integrated spatial planning about sustainability using GIS. However, there is a need for new education programs including all dimensions of sustainability in combination with use of GIS. Keywords: assessment, Geographic Information Systems, green infrastructure, indicators, intensive forestry, landscape, monitoring, regions, sustainability. Author’s address: Kjell Andersson, School for Forest Management, SLU P.O. Box 43, SE-739 21 Skinnskatteberg, Sweden. E-mail: [email protected] Contents List of Publications 7 Abbreviations 10 1 Preface 11 2 Introduction 13 3 Conceptual framework 21 3.1 Policy cycle 21 3.2 Landscape 23 4 The development towards GIS-assisted policy implementation 25 4.1 Policies and sustainability indicators at different governance levels 25 4.2 Spatial planning at local to regional scales 32 4.2.1 Sustained yield forestry 33 4.2.2 Green tree retention 33 4.2.3 Urban forest, socio-cultural considerations 33 4.2.4 Ecological landscape planning 34 4.2.5 Rural development 34 4.2.6 Zoning 35 4.2.7 Municipal and regional planning for the management and utilization of natural resources 35 4.3 The use of GIS in Sweden 36 5 Planning for sustainability: the use of GIS 39 6 Methodology 43 6.1 Study areas 43 6.1.1 The boreal forest biome 43 6.1.2 Central Sweden 44 6.1.3 Bergslagen 46 6.1.4 Västernorrland County 49 6.1.5 Komi Republic in NW Russia 50 6.2 Overview of data used for different sustainability dimensions 51 6.2.1 Raster data 52 6.2.2 Openly available sustainability indicators 52 6.2.3 Other digital maps 53 6.3 Habitat Suitability Index – modelling 53 6.4 Research questions and applied GIS-analyses 54 6.4.1 Paper I: Habitat network functionality in space and time 54 6.4.2 Paper II: Biophysical proxy data for modelling habitat 55 6.4.3 Paper III: Predicting the occurrence of the fresh water pearl mussel 57 6.4.4 Paper IV: Assessment of FSC outcomes for biodiversity conservation 57 6.4.5 Paper V: Perceptions of forest landscape values 60 6.4.6 Paper VI: Intensive forestry and functional green infrastructures 61 6.4.7 Paper VII: Indices for municipalities’ sustainable profiles 62 7 Results 65 7.1 Landscape level assessment - ecological sustainability 65 7.1.1 Paper I - Habitat network functionality 65 7.1.2 Paper II - Biophysical proxy data for modelling habitat 66 7.1.3 Paper III - predicting the occurrence of the fresh water pearl mussel 67 7.1.4 Paper IV - Assessment of FSC outcomes for biodiversity conservation 68 7.2 Landscape level assessment - socio-cultural sustainability 72 7.2.1 Paper V- Perceptions of forest landscape values 72 7.3 Landscape level assessment - economic sustainability 75 7.3.1 Paper VI – Intensive forestry and green infrastructures 75 7.4 Regional level integrated assessment 78 7.4.1 Paper VII - Indices for municipalities sustainable profiles 78 8 Discussion 83 8.1 Spatial assessment of sustainability is possible 83 8.2 GIS as a tool – a SWOT- analysis 86 8.3 What affects the quality of models describing sustainability? 89 8.4 Trends in data availability and education 92 8.4.1 Availability of data 92 8.4.2 Need for education 94 8.5 A vision for GIS in the future 95 9 Conclusion 97 10 Reference 99 11 Acknowledgements 115 List of Publications This thesis is based on the work contained in the following papers, referred to by Roman numerals in the text: I Angelstam, P., Andersson, K., Axelsson, R, and Elbakidze, M. Implementation of biodiversity conservation policies in Swedish boreal forest ecoregions: habitat networks and planning processes. Manuscript. II Stighäll, K., Roberge, J.-M., Andersson, K. and Angelstam, P. 2011. Usefulness of biophysical proxy data for modelling habitat of an endangered forest species: the white-backed woodpecker Dendrocopos leucotos. Scandinavian Journal of Forest Research 26(6): 576-585. III Degerman, E., Andersson, K., Söderberg, H., Norrgrann, O., Henrikson, L., Angelstam, P. and Törnblom, T. Predicting viable populations of freshwater pearl mussels (Margaritifera margaritifera, L.) using instream and riparian zone land cover data. Manuscript. IV Elbakidze, M., Angelstam, P., Andersson, K., Nordberg, M. and Pautov, Y. 2011. How does forest certification contribute to boreal biodiversity conservation? Standards and outcomes in Sweden and NW Russia. Forest Ecology and Management, 262(11): 1983-1995. V Andersson, K., Angelstam, P., Axelsson, R., Elbakidze, M. and Törnblom, J. Planning post-modern rural development? Appreciation and visualisation of forest landscape values at a Swedish tourism destination. Manuscript. VI Andersson, K., Angelstam, P., Elbakidze, M. and Axelsson, R. Intensive forestry and green infrastructures: need and opportunity for spatial planning? Manuscript. VII Andersson, K., Angelstam, P., Axelsson, R., Elbakidze, M. and Törnblom, J. Connecting municipal and regional level planning: analysis and visualization of sustainability indicators in Bergslagen, Sweden. European Planning Studies. In review. 7 Paper II is reproduced with the permission of the publisher Scandinavian Journal of Forest Research, www.tandfonline.com and Paper IV by the publisher of Forest Ecology and Management. 8 The contribution of Kjell Andersson to the papers included in this thesis was as follows. I 40 % II 40 % III 40 % IV 40 % V 70% VI 80 % VII 80 % 9 Abbreviations ASL Above See Level CETS European Landscape Convention DEM Digital Elevation Model EC European Community EEC European Economic Community EIA Environmental Impact Assessment ETOUR European Tourism Research Institute EU European Union FOMA Fortlöpande miljöanalys FSC Forest Stewardship Council GIS Geographical Information System HSI Habitat Suitable Index INSPIRE Infrastructure for Spatial Information in Europe ITPS Swedish Institute for Growth Policy Studies IUCN International Union for Conservation of Nature k-NN Constant – Nearest Neighbourhood MCPFE Ministerial Conference for the Protection of Forests in Europe NRA National Strategic Research Agenda PBL Planning and Building Act SCB Statistic Sweden SEA Strategic Environmental Assessment SFM Sustainable forest management SMD Swedish Land Cover Data SOU Sweden's Official Investigations ULI Swedish Development Council for Land Information UNCED United Nations Conference on Environment and Development UNEP United Nations Environment Programme WCED World Commission on Environment and Development WSSD World Summit on Sustainable Development 10