Literature DB >> 16427656

Environmentally induced dispersal under heterogeneous logistic growth.

Víctor Padrón1, María Cristina Trevisan.   

Abstract

We consider a single-species model which is composed of several habitats connected by linear migration rates and having logistic growth. A spatially varying, temporally constant environment is introduced by the non-homogeneity of its carrying capacity. Under this condition any type of purely diffusive behavior, characterized in our model by symmetric migration rates, produces an unbalanced population distribution, i.e. some locations receive more individuals than can be supported by the environmental carrying capacity, while others receive less. Using an evolutionarily stable strategy (ESS) approach we show that an asymmetric migration mechanism, induced by the heterogeneous carrying capacity of the environment, will be selected. This strategy balances the inflow and outflow of individuals in each habitat (balanced dispersal), as well as 'balancing' the spatial distribution relative to variation in carrying capacity (the Ideal Free Distribution from habitat selection theory). We show that several quantities are maximized or minimized by the evolutionarily stable dispersal strategy.

Mesh:

Year:  2006        PMID: 16427656     DOI: 10.1016/j.mbs.2005.11.004

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  3 in total

1.  Evolutionary stability of ideal free dispersal strategies in patchy environments.

Authors:  Robert Stephen Cantrell; Chris Cosner; Yuan Lou
Journal:  J Math Biol       Date:  2011-11-03       Impact factor: 2.259

2.  Two-patch population models with adaptive dispersal: the effects of varying dispersal speeds.

Authors:  Ross Cressman; Vlastimil Křivan
Journal:  J Math Biol       Date:  2012-06-02       Impact factor: 2.259

3.  On evolutionary stability of carrying capacity driven dispersal in competition with regularly diffusing populations.

Authors:  L Korobenko; E Braverman
Journal:  J Math Biol       Date:  2013-10-22       Impact factor: 2.259

  3 in total

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