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Making better biogeographical predictions of species' distributions
Authors:ANTOINE GUISAN,ANTHONY LEHMANN&dagger  ,SIMON FERRIER&Dagger  ,MIKE AUSTIN§  ,JACOB MC. C. OVERTON¶  ,RICHARD ASPINALL, TREVOR HASTIE&dagger  &dagger  
Affiliation:University of Lausanne, Department of Ecology and Evolution, Biology Building, CH-1015 Lausanne, Switzerland;;Swiss Center for Faunal Cartography, Terreaux 14, CH-2000 Neuchâtel, Switzerland;;New South Wales Department of Environment and Conservation, PO Box 402 Armidale, NSW 2350, Australia;;CSIRO Sustainable Ecosystems, GPO Box 284, Canberra, ACT 2601, Australia;;Landcare Research, Private Bag 3127, Hamilton, New Zealand;;Arizona State University, Department of Geography, PO Box 870104, Tempe, AZ 85287–0104, USA;and;Stanford University, Statistics Department, Sequoia Hall, Stanford, CA 94305, USA
Abstract:
Keywords:artificial data    autocorrelation    community and diversity modelling    errors and uncertainties    generalized regressions    interactions    niche-based model
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