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An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data
Authors:Robin Engler  Antoine Guisan   Luca Rechsteiner
Affiliation:Laboratoire de Biologie de la Conservation (LBC), Département d'Ecologie et d'Evolution, Universitéde Lausanne, BB, CH-1015 Lausanne, Switzerland
Abstract:
Keywords:ecological niche factor analysis (ENFA)    Eryngium alpinum    generalized linear model (GLM)    habitat suitability (HS) model    minimal predicted area (MPA)    spatial resolution vs. data size
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