publication . Other literature type . Article . 2006

Novel methods improve prediction of species' distributions from occurrence data

Anthony Lehmann; M.S. Wisz; Antoine Guisan; A. Townsend Peterson; Jane Elith; Stephen Williams; Jorge Soberon; Lucia Lohmann; Bette Loiselle; Catherine Graham; ...
Open Access
  • Published: 29 Mar 2006
  • Publisher: Wiley
Abstract
Prediction of species' distributions is central to diverse applications in ecology, evolution and conservation science. There is increasing electronic access to vast sets of occurrence records in museums and herbaria, yet little effective guidance on how best to use this information in the context of numerous approaches for modelling distributions. To meet this need, we compared 16 modelling methods over 226 species from 6 regions of the world, creating the most comprehensive set of model comparisons to date. We used presence-only data to fit models, and independent presence-absence data to evaluate the predictions. Along with well-established modelling methods ...
Subjects
free text keywords: Ecology, Evolution, Behavior and Systematics
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