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Regression models for spatial prediction: their role for biodiversity and conservation

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Abstract

This paper is an introduction to a Special Issue on ‘regression models for spatial predictions’ published in Biodiversity and Conservation following an international workshop held in Switzerland in 2001 (http://leba.unige.ch/workshop). This introduction describes how the exponential growth in computing power has improved our ability to reach spatially explicit assessment of biodiversity and to develop cost-effective conservation management. New questions arising from these modern approaches are listed, while papers presenting examples of applications are briefly introduced.

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Authors and Affiliations

  1. Swiss Centre for Faunal Cartography, Terreaux 14, CH-2000, Neuchâtel, Switzerland

    A. Lehmann

  2. Landcare Research, Private Bag 3127, Hamilton, New Zealand

    J.McC. Overton

  3. CSIRO Sustainable Ecosystems, GPO Box 284, Canberra City, ACT, 2601, Australia

    M.P. Austin

Authors
  1. A. Lehmann
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  2. J.McC. Overton
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  3. M.P. Austin
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Lehmann, A., Overton, J. & Austin, M. Regression models for spatial prediction: their role for biodiversity and conservation. Biodiversity and Conservation 11, 2085–2092 (2002). https://doi.org/10.1023/A:1021354914494

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