Climate and land use change impacts on plant distributions in Germany

We present niche-based modelling to project the distribution of 845 European plant species for Germany using three different models and three scenarios of climate and land use changes up to 2080. Projected changes suggested large effects over the coming decades, with consequences for the German flora. Even under a moderate scenario (approx. +2.2°C), 15–19% (across models) of the species we studied could be lost locally—averaged from 2995 grid cells in Germany. Models projected strong spatially varying impacts on the species composition. In particular, the eastern and southwestern parts of Germany were affected by species loss. Scenarios were characterized by an increased number of species occupying small ranges, as evidenced by changes in range-size rarity scores. It is anticipated that species with small ranges will be especially vulnerable to future climate change and other ecological stresses.

[1]  M. Sykes,et al.  In Plant Ecology, Evolution and Systematics Predicting Global Change Impacts on Plant Species' Distributions: Future Challenges , 2022 .

[2]  Joachim H. Spangenberg,et al.  Integrated scenarios for assessing biodiversity risks , 2007 .

[3]  C. Dormann Promising the future? Global change projections of species distributions , 2007 .

[4]  A. Dobson,et al.  Projected Impacts of Climate and Land-Use Change on the Global Diversity of Birds , 2007, PLoS biology.

[5]  M. Luoto,et al.  The role of land cover in bioclimatic models depends on spatial resolution , 2006 .

[6]  M. Sykes,et al.  Methods and uncertainties in bioclimatic envelope modelling under climate change , 2006 .

[7]  C. Parmesan Ecological and Evolutionary Responses to Recent Climate Change , 2006 .

[8]  Emmanuel S. Gritti,et al.  Towards European climate risk surfaces: the extent and distribution of analogous and non-analogous climates 1931–2100 , 2006 .

[9]  D. Roy,et al.  Species richness changes lag behind climate change , 2006, Proceedings of the Royal Society B: Biological Sciences.

[10]  Pete Smith,et al.  A coherent set of future land use change scenarios for Europe , 2006 .

[11]  M. Sykes,et al.  Climate change threats to plant diversity in Europe. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Marco Vighi,et al.  ALARM: Assessing LArge-scale environmental Risks for biodiversity with tested Methods , 2005 .

[13]  T. Dawson,et al.  Modelling species distributions in Britain: a hierarchical integration of climate and land-cover data , 2004 .

[14]  W. Barthlott,et al.  Measuring and mapping endemism and species richness: a new methodological approach and its application on the flora of Africa , 2001, Biodiversity & Conservation.

[15]  T. D. Mitchell,et al.  A comprehensive set of high-resolution grids of monthly climate for Europe and the globe: the observed record (1901-2000) and 16 scenarios (2001-2100). , 2004 .

[16]  W. Thuiller BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change , 2003 .

[17]  T. Dawson,et al.  Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? , 2003 .

[18]  C. Heunks,et al.  Land cover characterization and change detection for environmental monitoring of pan-Europe , 2000 .

[19]  R. Mac Nally,et al.  Hierarchical partitioning as an interpretative tool in multivariate inference , 1996 .

[20]  Áskell Löve,et al.  Atlas florae Europaeae , 1977 .