Document Detail


Habitat selection and population regulation in temporally fluctuating environments.
MedLine Citation:
PMID:  15459888     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Understanding and predicting the distribution of organisms in heterogeneous environments lies at the heart of ecology, and the theory of density-dependent habitat selection (DDHS) provides ecologists with an inferential framework linking evolution and population dynamics. Current theory does not allow for temporal variation in habitat quality, a serious limitation when confronted with real ecological systems. We develop both a stochastic equivalent of the ideal free distribution to study how spatial patterns of habitat use depend on the magnitude and spatial correlation of environmental stochasticity and also a stochastic habitat selection rule. The emerging patterns are confronted with deterministic predictions based on isodar analysis, an established empirical approach to the analysis of habitat selection patterns. Our simulations highlight some consistent patterns of habitat use, indicating that it is possible to make inferences about the habitat selection process based on observed patterns of habitat use. However, isodar analysis gives results that are contingent on the magnitude and spatial correlation of environmental stochasticity. Hence, DDHS is better revealed by a measure of habitat selectivity than by empirical isodars. The detection of DDHS is but a small component of isodar theory, which remains an important conceptual framework for linking evolutionary strategies in behavior and population dynamics.
Authors:
Niclas Jonzen; Chris Wilcox; Hugh P Possingham
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2004-08-19
Journal Detail:
Title:  The American naturalist     Volume:  164     ISSN:  1537-5323     ISO Abbreviation:  Am. Nat.     Publication Date:  2004 Oct 
Date Detail:
Created Date:  2004-10-01     Completed Date:  2007-02-12     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  2984688R     Medline TA:  Am Nat     Country:  United States    
Other Details:
Languages:  eng     Pagination:  E103-14     Citation Subset:  IM    
Affiliation:
Department of Zoology and Entomology, University of Queensland, St. Lucia, 4072 Queensland, Australia. niclas.jonzen@teorekol.lu.se
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MeSH Terms
Descriptor/Qualifier:
Animals
Ecosystem*
Evolution
Models, Biological*
Population Dynamics
Stochastic Processes

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