Biodiversity & Conservation

, Volume 11, Issue 12, pp 2085–2092

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

  • A. Lehmann
  • J.McC. Overton
  • M.P. Austin

DOI: 10.1023/A:1021354914494

Cite this article as:
Lehmann, A., Overton, J. & Austin, M. Biodiversity and Conservation (2002) 11: 2085. doi:10.1023/A:1021354914494


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 ( 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.

Community compositionConservationGeneralized additive modelsGeographic information systemsGeneralized linear modelsHotspotsReserve networkSpatial predictionsSpecies distributionSpecies richness

Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  • A. Lehmann
    • 1
  • J.McC. Overton
    • 2
  • M.P. Austin
    • 3
  1. 1.Swiss Centre for Faunal CartographyNeuchâtelSwitzerland
  2. 2.Landcare ResearchHamiltonNew Zealand
  3. 3.CSIRO Sustainable EcosystemsCanberra CityAustralia