Appendix C. Results of variation partitioning for the taxa richness of phytoplankton and zooplankton in terms of fractions of variation explained.

Results of variation partitioning for the taxa richness of phytoplankton and zooplankton in terms of fractions of variation explained

Appendix B. Spatial correlogram of the phytoplankton and the zooplankton taxa richness.

Spatial correlogram of the phytoplankton and the zooplankton taxa richness

Appendix A. Means and ranges for the environmental variables of lakes.

Means and ranges for the environmental variables of lakes

Appendix A. Map of the study area in Finland with the studied drainage basins.

Map of the study area in Finland with the studied drainage basins

Appendix D. The intercorrelations between all physicochemical and geographical variables.

The intercorrelations between all physicochemical and geographical variables

Appendix F. Response shapes (partial dependency plots) for the zooplankton Daphnia galeata based on GBM models.

Response shapes (partial dependency plots) for the zooplankton Daphnia galeata based on GBM models

Appendix E. Response shapes (partial dependency plots) for the phytoplankton Staurastrum sp. based on GBM models.

Response shapes (partial dependency plots) for the phytoplankton Staurastrum sp. based on GBM models

Appendix C. Modeling results for phytoplankton when only the cladocerans (seven species) were used as zooplankton grazers for phytoplankton.

Modeling results for phytoplankton when only the cladocerans (seven species) were used as zooplankton grazers for phytoplankton

Circum-Arctic active layer thickness rasters

"Circum-Arctic active layer thickness rasters" These data represent the active layer thickness (ALT, in cm) forecasts over northern hemisphere land areas (>30°N) presented in the manuscript by Aalto et al., (2018) "Statistical forecasting of current and future circum-Arctic ground temperatures and active layer thickness" published in Geophysical Research Letters. The data has been produced for several time periods and representative concentration pathways (RCP), and they represent the ensemble median of four statistical modelling techniques: ALT_Baseline.tif # Forecasted ALT 2000-2014 ALT_2050RCP26.tif # 2041-2060 RCP 2.6 ALT_2050RCP45.tif # 2041-2060 RCP 4.5 ALT_2050RCP85.tif # 2041-2060 RCP 8.5 ALT_2070RCP26.tif # 2061-2080 RCP 2.6 ALT_2070RCP45.tif # 2061-2080 RCP 4.5 ALT_2070RCP85.tif # 2061-2080 RCP 8.5 Coordinate reference system = WGS84 (epsg:4326), spatial resolution = 30 arc seconds Contact: [email protected]

Circum-Arctic mean annual ground temperature rasters

These data represent the mean annual ground temperature (MAGT, in °C) forecasts over northern hemisphere land areas (>30°N) presented in the manuscript by Aalto et al., (2018) "Statistical forecasting of current and future circum-Arctic ground temperatures and active layer thickness" published in Geophysical Research Letters. The data has been produced for several time periods and representative concentration pathways (RCP), and they represent the ensemble median of four statistical modelling techniques: MAGT_Baseline.tif # Forecasted MAGT 2000-2014 MAGT_2050RCP26.tif # 2041-2060 RCP 2.6 MAGT_2050RCP45.tif # 2041-2060 RCP 4.5 MAGT_2050RCP85.tif # 2041-2060 RCP 8.5 MAGT_2070RCP26.tif # 2061-2080 RCP 2.6 MAGT_2070RCP45.tif # 2061-2080 RCP 4.5 MAGT_2070RCP85.tif # 2061-2080 RCP 8.5 Coordinate reference system = WGS84 (epsg:4326), spatial resolution = 30 arc seconds Contact: [email protected]