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The use of an integrated framework combining eco-evolutionary data and species distribution models to predict range
1School of Life Sciences, Peking University, Beijing, China.
Abstract:
Species distribution models (SDMs) are powerful tools that can predict potential distributions of species under climate change. However, traditional SDMs that rely on current species occurrences may underestimate their climatic tolerances and potential distributions. To address this limitation, we developed an integrated framework that incorporates eco-evolutionary data into SDMs. In our approach, the fundamental niches of species are constructed by their realized niches in different periods, and those fundamental niches are used to predict potential distributions of species. Our framework includes multiple phylogenetic analyses, such as niche evolution rate estimation and ancestral area reconstruction. These analyses provide deeper insights into the responses of species to climate change. We applied our approach to the Chrysanthemum zawadskii species complex to evaluate its efficacy through comprehensive performance evaluations and validation tests. Our framework can be applied broadly to species with available phylogenetic data and occurrence records, making it a valuable tool for understanding species adaptation in a rapidly changing world.•Integrating the niches of species in different periods estimates more complete climatic envelopes for them.•Combining eco-evolutionary data with SDMs predicts more comprehensive potential distributions of species under climate change.•Our framework provides a general procedure for species with phylogenetic data and occurrence records.
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