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Article
Evolutionary Convergence to Ideal Free Dispersal Strategies and Coexistence
Bulletin of Mathematical Biology
  • Richard Gejji, Ohio State University
  • Yuan Lou, Ohio State University
  • Daniel Munther, Cleveland State University
  • Justin Peyton, Ohio State University
Document Type
Article
Publication Date
7-1-2004
Disciplines
Abstract

We study a two species competition model in which the species have the same population dynamics but different dispersal strategies and show how these dispersal strategies evolve. We introduce a general dispersal strategy which can result in the ideal free distributions of both competing species at equilibrium and generalize the result of Averill et al. (2011). We further investigate the convergent stability of this ideal free dispersal strategy by varying random dispersal rates, advection rates, or both of these two parameters simultaneously. For monotone resource functions, our analysis reveals that among two similar dispersal strategies, selection generally prefers the strategy which is closer to the ideal free dispersal strategy. For nonmonotone resource functions, our findings suggest that there may exist some dispersal strategies which are not ideal free, but could be locally evolutionarily stable and/or convergent stable, and allow for the coexistence of more than one species.

Comments
The research of Y.L and D.M are partially supported by the NSF grant DMS-1021179. The research of R.G. is partially supported by the University of Notre Dame’s C.A.M. Fellowship. This material is also based upon work supported by the NSF under Agreement No. 0931642.
DOI
10.1007/s11538-011-9662-4
Version
Postprint
Citation Information
Richard Gejji, Yuan Lou, Daniel Munther and Justin Peyton. "Evolutionary Convergence to Ideal Free Dispersal Strategies and Coexistence" Bulletin of Mathematical Biology Vol. 137 Iss. 1 (2004) p. 191 - 207
Available at: http://works.bepress.com/daniel-munther/4/