Modelling geographical patterns in species richness using eigenvector‐based spatial filters

Modelling geographical patterns in species richness using eigenvector‐based spatial filters Aim  To test the mechanisms driving bird species richness at broad spatial scales using eigenvector‐based spatial filtering. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Global Ecology and Biogeography Wiley

Modelling geographical patterns in species richness using eigenvector‐based spatial filters

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Publisher
Wiley
Copyright
Copyright © 2005 Wiley Subscription Services, Inc., A Wiley Company
ISSN
1466-822X
eISSN
1466-8238
DOI
10.1111/j.1466-822X.2005.00147.x
Publisher site
See Article on Publisher Site

Abstract

Aim  To test the mechanisms driving bird species richness at broad spatial scales using eigenvector‐based spatial filtering.

Journal

Global Ecology and BiogeographyWiley

Published: Mar 1, 2005

Keywords: ; ; ; ; ;

References

  • All‐scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices
    Borcard, D.; Legendre, P.
  • Dissecting the spatial structure of ecological data at multiple scales
    Borcard, D.; Legendre, P.; Avois‐Jacquet, C.; Tuomisto, H.
  • Energy, species richness, and human population size: conservation implications at a national scale
    Chown, S.L.; Van Rensburg, B.J.; Gaston, K.J.; Rodrigues, A.S.L.; Van Jaarsveld, A.S.
  • A test of multiple hypotheses for the species richness gradient of South American owls
    Diniz‐Filho, J.A.F.; Rangel, T.F.L.V.B.; Hawkins, B.A.

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