Additionally, nearly 40% of currently threatened species were predicted to experience rapid climate change at 0.5 km/year or more. Southeast Asia had the most actually and potentially threatened species, underscoring the urgent need for conservation in this region. We also found that about 10% of mammals not currently recognized as at-risk have biological traits and occur in environments that predispose them towards extinction. Each extinction correlate exhibited ranges of values that were especially associated with risk, and the importance of different risk factors was not geographically uniform across the globe. We found distinctive macroecological relationships between species-level risk and extinction correlates, including the intrinsic biological traits of geographic range size, body size and taxonomy, and extrinsic geographic settings such as seasonality, habitat type, land use and human population density. We also explore how this geography of risk may change under a rapidly warming climate. Here, we develop a predictive random forest model using both geospatial and mammalian species’ trait data to uncover the statistical and geographic distributions of extinction correlates. While knowledge of which factors influence extinction risk is increasingly available for some taxonomic groups, a deeper understanding of extinction correlates and the geography of risk remains lacking. Identifying which species are at greatest risk, what makes them vulnerable, and where they are distributed are central goals for conservation science.
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