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In short, extinction researchers seek to link patterns of species loss to underlying processes and use this knowledge to improve forecasts of the impact of future environmental change. The consequences for extinction can be dramatic This commonality presents a key question
Can the extinction risk of species during past mass extinction events inform our predictions for a modern biodiversity crisis? Our analyses show that, despite some similarities in extinction selectivity patterns between ancient crises, the selectivity of mass extinction events is inconsistent, which leads to a poor predictive performance. Species differ in their biological susceptibility to extinction, but the set of traits determining susceptibility varies across taxa
We summarise current good practice in how sdms can serve to classify species into iucn extinction risk categories and predict whether a species is likely to become threatened under future climate.
Extinction can be avoided by evolutionary adaptation, which depends on genetic and demographic factors However, our model is based on population genetics rather than quantitative genetics, and is not restricted to quantitative traits.
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