title: Evolution of conditional dispersal: evolutionarily stable strategies in spatial models.
abstract: We consider a two-species competition model in which the species have the same population dynamics but different dispersal strategies. Both species disperse by a combination of random diffusion and advection along environmental gradients, with the same random dispersal rates but different advection coefficients. Regarding these advection coefficients as movement strategies of the species, we investigate their course of evolution. By applying invasion analysis we find that if the spatial environmental variation is less than a critical value, there is a unique evolutionarily singular strategy, which is also evolutionarily stable. If the spatial environmental variation exceeds the critical value, there can be three or more evolutionarily singular strategies, one of which is not evolutionarily stable. Our results suggest that the evolution of conditional dispersal of organisms depends upon the spatial heterogeneity of the environment in a subtle way.
authors: Mathematical Biosciences Institute, Ohio State University, Columbus, OH, 43210, USA, lam.184@osu.edu.
authors: King-Yeung
authors: KY
authors: Lam
authors: Yuan
authors: Y
authors: Lou
mesh_terms: D005075:Biological Evolution; D017753:Ecosystem; D008954:Models, Biological; D011157:Population Dynamics