Measuring spatial structure and its effects on biodiversity in Finland

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1 Measuring spatial structure and its effects on biodiversity in Finland Raisa Mäkipää Finnish Forest Research Institute Nordic workshop on habitat structure and nature quality May 14-15, 2008, Roskilde, Denmark Metsäntutkimuslaitos Skogsforskningsinstitutet Finnish Forest Research Institute

2 Outline Changes in the species abundances in Finland Changes in the forest structure Species habitat requirements and availability of suitable habitat patches Ongoing projects & future plans

3 Material and Methods Nationwide vegetation data collected in the National Forest Inventories on years , , and 1995

4 Abundance of Linnaea borealis Source: Reinikainen, Mäkipää et al. (eds) Kasvit muuttuvassa metsäluonnossa. Tammi.

5 Linnaea borealis by stand age class Frequency Abundance Frequency, % Abundance, % Source: Reinikainen, Mäkipää et al. (eds) Kasvit muuttuvassa metsäluonnossa. Tammi.

6 Abundance of Menyanthes trifoliata Source: Reinikainen, Mäkipää et al. (eds) Kasvit muuttuvassa metsäluonnossa. Tammi.

7 Menyanthes trifoliata on peatlands by post-drainage succession stage Frequency Abundance, % Direction of post-drainage succession Frequency, % Abundance, %

8 Relative abundance of Hylocomium spelendens by biogeographical provinces in , and 1995 Significance of changes between the sampling occasions is indicated by dark/grey shading of the bar. Source: Mäkipää & Heikkinen, JVS

9 Relative abundance of Dicranum polysetum by biogeographical provinces in , , and 1995 Source: Mäkipää & Heikkinen, JVS

10 Multi-Source Finnish National Forest Inventory (NFI) Field data High Resolution Satellite Imagery Numeric maps and other data sources MS-NFI produces accurately georeferenced information for small areas The method exploits field information, satellite data and digital maps (e.g. DEM, land use maps) All inventory variables can be estimated for each image pixel Produces outputs themes maps and statistics for any given area Source: NFI/Metla, Anssi Pekkarinen

11 Herb-richHabitat Quality Model Source: Sandra Luque et al. PROHAB-project

12 Source: Sandra Luque et al. PROHAB-project

13 Habitat requirements (1) Frequency of target species according to decay class Phellinus nigrolimitatus, aarnikääpä Photo by Olli Manninen Source: Stokland et al For.Ecol. Management

14 Resource availability: Amount of dead wood in Southern Finland Kriging interpolation from NFI plots Source: Luque & Vainikainen, in press

15 Diversity of wood inhabiting species as a function of quantity of dead wood Source: Metla Siitonen & Hottola other driving factors, (i) quality of dead wood, (ii) diversity of dead wood, (iii) spatio-temporal continuation of dead wood resource, (iv)???, to be studied.

16 Current projects and future plans To model habitat requirements of wood inhabiting fungi based on - observed fruiting bodies Photo by Erkki Salo - fungi identified directly from dead wood samples by DNA amplification and sequencing To model dead wood dynamics in managed and unmanaged forests To analyse relationship between rate of decomposition and species diversity of wood decaying fungi To model spatial and temporal availability of suitable dead wood substrate To analyse population viability in fragmented landscape

17 Research team and collaborators Research team, Finnish Forest Research Institute (METLA) Raisa Mäkipää Mikko Peltoniemi Tiina Rajala Taina Pennanen Tapio Linkosalo Juha Siitonen in co-operation with Otso Ovaskainen, University of Helsinki, Finland Annikki Mäkelä, University of Helsinki, Finland Håkan Berglund, SLU, Sweden Sandra Luque, Cemagref, France Jari Liski, SYKE, Finland

18 Thank you for your attention Thank you for your attention Photo: METLA/Erkki Oksanen

Testing steady states carbon stocks of Yasso07 and ROMUL models against soil inventory data in Finland

Testing steady states carbon stocks of Yasso07 and ROMUL models against soil inventory data in Finland A. Lehtonen 1, T. Linkosalo 2, J. Heikkinen 1, M. Peltoniemi 1, R. Sievänen 1, R. Mäkipää 1, P. Tamminen