Document Detail


Coexistence under positive frequency dependence.
MedLine Citation:
PMID:  11217898     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Negative frequency dependence resulting from interspecific interactions is considered a driving force in allowing the coexistence of competitors. While interactions between species and genotypes can also result in positive frequency dependence, positive frequency dependence has usually been credited with hastening the extinction of rare types and is not thought to contribute to coexistence. In the present paper, we develop a stochastic cellular automata model that allows us to vary the scale of frequency dependence and the scale of dispersal. The results of this model indicate that positive frequency dependence will allow the coexistence of two species at a greater rate than would be expected from chance. This coexistence arises from the generation of banding patterns that will be stable over long time-periods. As a result, we found that positive frequency-dependent interactions over local spatial scales promote coexistence over neutral interactions. This result was robust to variation in boundary conditions within the simulation and to variation in levels of disturbance. Under all conditions, coexistence is enhanced as the strength of positive frequency-dependent interactions is increased.
Authors:
J Molofsky; J D Bever; J Antonovics
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Proceedings. Biological sciences / The Royal Society     Volume:  268     ISSN:  0962-8452     ISO Abbreviation:  Proc. Biol. Sci.     Publication Date:  2001 Feb 
Date Detail:
Created Date:  2001-02-19     Completed Date:  2001-06-14     Revised Date:  2010-09-14    
Medline Journal Info:
Nlm Unique ID:  101245157     Medline TA:  Proc Biol Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  273-7     Citation Subset:  IM    
Affiliation:
Department of Botany, University of Vermont, Burlington 05405, USA. jmolofsk@zoo.uvm.edu
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MeSH Terms
Descriptor/Qualifier:
Animals
Evolution*
Models, Biological*
Social Behavior*
Comments/Corrections

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