Evolution of dispersal and the ideal free distribution

Mathematical Biosciences and Engineering : MBE
Robert Stephen CantrellYuan Lou

Abstract

A general question in the study of the evolution of dispersal is what kind of dispersal strategies can convey competitive advantages and thus will evolve. We consider a two species competition model in which the species are assumed to have the same population dynamics but different dispersal strategies. Both species disperse by random diffusion and advection along certain gradients, with the same random dispersal rates but different advection coefficients. We found a conditional dispersal strategy which results in the ideal free distribution of species, and show that it is a local evolutionarily stable strategy. We further show that this strategy is also a global convergent stable strategy under suitable assumptions, and our results illustrate how the evolution of conditional dispersal can lead to an ideal free distribution. The underlying biological reason is that the species with this particular dispersal strategy can perfectly match the environmental resource, which leads to its fitness being equilibrated across the habitats.

Citations

Nov 4, 2011·Journal of Mathematical Biology·Robert Stephen CantrellYuan Lou
May 11, 2011·Bulletin of Mathematical Biology·Richard GejjiJustin Peyton
Feb 24, 2012·Proceedings of the National Academy of Sciences of the United States of America·Lee Altenberg
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Mar 16, 2021·Journal of Mathematical Biology·Emeric BouinNichole Slover

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