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Continental-Scale Biodiversity Predictions Are Influenced by Climatic Variability and Extreme Weather
Jeremy M Cohen1,2,3, Diego Ellis-Soto2,3,4, Shubhi Sharma2,3
1Department of Ecology, Evolution and Natural Resources, Rutgers University-New Brunswick, New Brunswick, New Jersey, USA.
Global Change Biology
|August 8, 2026
Summary
Extreme weather and climate variability significantly shrink species
Area of Science:
- Ecology
- Climate Change Biology
- Biodiversity Science
Background:
- Organisms face physiological limits due to increasingly variable and extreme weather.
- Species distributions and biodiversity patterns are affected by these climatic challenges, especially at range edges.
- The precise influence of climatic variability and extreme weather on continental-scale distributions remains unclear.
Purpose of the Study:
- To investigate how climatic variability and extreme weather shape species distributions and biodiversity patterns across North America.
- To compare the predictive performance of species distribution models incorporating climatic variability and extreme weather versus those using only climatic means.
Main Methods:
- Linked citizen science bird observations (2004-2024) with high-resolution climatic variability and extreme weather risk data.
- Developed 2901 individual species distribution models for 535 North American species.
- Assessed model performance across 220 well-surveyed sites.
Main Results:
- Models including climatic variability and extreme weather risk outperformed others in predicting species richness and presence.
- Species' geographic ranges were predicted to be narrower, truncated by 6% (summer) and 10% (winter), particularly at range edges.
- Richness estimates decreased significantly (up to 35 species) in regions prone to extreme weather, like the US Southwest and Central Plains.
Conclusions:
- Climatic variability and extreme weather are critical factors defining species distributions and biodiversity patterns.
- Accounting for these factors leads to more accurate and mechanistically informed biodiversity predictions.
- Future biodiversity assessments must integrate climatic variability and extreme weather to reliably predict species' future distributions.
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