作者: Margaret E.K. Evans , Cory Merow , Sydne Record , Sean M. McMahon , Brian J. Enquist
DOI: 10.1016/J.TREE.2016.08.005
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摘要: Understanding and forecasting species' geographic distributions in the face of global change is a central priority biodiversity science. The existing view that one must choose between correlative models for many species versus process-based few species. We suggest opportunities exist to produce range species, by using hierarchical inverse modeling borrow strength across fill data gaps, fuse diverse sets, model biological spatial scales. review statistical ecology population literature, illustrating these strategies action. A variety large, coordinated ecological datasets can feed into solutions already exist, we highlight organisms seem ripe challenge.