作者: Kamran Safi , Nathalie Pettorelli
DOI: 10.1111/J.1466-8238.2010.00523.X
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摘要: Aim Extinction risk is non-randomly distributed across phylogeny and space influenced by environmental conditions. We quantified the relative contribution of these factors to extinction unveil underlying macroecological processes derive predictive models. Location Global. Methods Based on IUCN global assessments, we divided 192 carnivore species into two dichotomous classes representing different levels risk. used spatial proximity, phylogenetic relationship variables together with eigenvector regression filters model predict threat status. Results Our full models explained between 57% 96% variance in Phylogeny proximity roughly 21% 70% total variation all analyses, while explanatory power conditions was relatively weaker (up 15%). contributed equally lower level, most important factor higher level. Prediction status achieved 97% correct assignments. Main conclusions approach differs fundamentally from current studies because it does not necessarily rely life-history information. clearly show that instead treating inertia signal as statistical nuisances, should be viewed very useful explaining a wide range phenomena comparative studies.