Document Detail

Spatially explicit analyses unveil density dependence.
MedLine Citation:
PMID:  15590593     Owner:  NLM     Status:  MEDLINE    
Density-dependent processes are fundamental in the understanding of species population dynamics. Whereas the benefits of considering the spatial dimension in population biology are widely acknowledged, the implications of doing so for the statistical detection of spatial density dependence have not been examined. The outcome of traditional tests may therefore differ from those that include ecologically relevant locational information on both the prey species and natural enemy. Here, we explicitly incorporate spatial information on individual counts when testing for density dependence between an insect herbivore and its parasitoids. The spatially explicit approach used identified significant density dependence more frequently and in different instances than traditional methods. The form of density dependence detected also differed between methods. These results demonstrate that the explicit consideration of patch location in density-dependence analyses is likely to significantly alter current understanding of the prevalence and form of spatial density dependence in natural populations.
Ruan Veldtman; Melodie A McGeoch
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Proceedings. Biological sciences / The Royal Society     Volume:  271     ISSN:  0962-8452     ISO Abbreviation:  Proc. Biol. Sci.     Publication Date:  2004 Dec 
Date Detail:
Created Date:  2004-12-13     Completed Date:  2005-03-08     Revised Date:  2010-09-20    
Medline Journal Info:
Nlm Unique ID:  101245157     Medline TA:  Proc Biol Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  2439-44     Citation Subset:  IM    
Department of Zoology and Entomology, University of Pretoria, Pretoria 0002, South Africa.
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MeSH Terms
Host-Parasite Interactions
Models, Biological*
Moths / parasitology*
Population Density
Population Dynamics
Regression Analysis
South Africa
Spatial Behavior*

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