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Using georeferenced databases to assess the effect of climate change on alpine plant species and diversity
Title of the book
Data mining for global trends in mountain biodiversity
Address of publication
Boca Raton, USA
Spehn E.M., Körner C.
Past and current climate change has already induced drastic biological changes. We need projections of how future climate change will further impact biological systems. Modeling is one approach to forecast future ecological impacts, but requires data for model parameterization. As collecting new data is costly, an alternative is to use the increasingly available georeferenced species occurrence and natural history databases. Here, we illustrate the use of such databases to assess climate change impacts on mountain flora. We show that these data can be used effectively to derive dynamic impact scenarios, suggesting upward migration of many species and possible extinctions when no suitable habitat is available at higher elevations. Systematically georeferencing all existing natural history collections data in mountain regions could allow a larger assessment of climate change impact on mountain ecosystems in Europe and elsewhere.
data base, biodiversity, climate change, Swiss Alps, species distribution model, vascular plants
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