Species Distribution and Climate Change
Ecologists and environmental scientists use species distribution models—statistical tools that link where organisms are observed to the environmental conditions of those locations—to predict where species can survive now and under future climates. By combining occurrence records, often gathered through citizen science platforms, with algorithms like MaxEnt, researchers can estimate a species' ecological niche and map how suitable habitat is likely to expand, contract, or shift geographically as temperatures and precipitation patterns change. The stakes are significant: these projections inform conservation planning, protected-area design, and assessments of extinction risk across entire ecosystems. Active research is working to reduce uncertainty in these forecasts by improving how models handle species interactions, dispersal limitations, and the uneven geographic coverage of observational data.
- Works
- 1,385,450
- Total citations
- 2,450,931
- Keywords
- Species Distribution ModelingClimate ChangeEcological NicheMaxEntBiodiversityCitizen Science
Top papers in Species Distribution and Climate Change
Ordered by total citation count.
- Biodiversity hotspots for conservation priorities↗ 30,952OA
- Maximum entropy modeling of species geographic distributions↗ 17,436
- Measures of the Amount of Ecologic Association Between Species↗ 11,825
- Red and photographic infrared linear combinations for monitoring vegetation↗ 11,250OA
- A globally coherent fingerprint of climate change impacts across natural systems↗ 11,032
- Ecological Diversity and Its Measurement↗ 10,921
- Collinearity: a review of methods to deal with it and a simulation study evaluating their performance↗ 10,227OA
- Institutional Ecology, `Translations' and Boundary Objects: Amateurs and Professionals in Berkeley's Museum of Vertebrate Zoology, 1907-39↗ 10,174
- Ecological responses to recent climate change↗ 9,899OA
- ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R↗ 9,227OA
- Global Biodiversity Scenarios for the Year 2100↗ 9,151
- Novel methods improve prediction of species’ distributions from occurrence data↗ 9,038OA
Active researchers
Top authors in this area, ranked by h-index.