Related Experiment Video
Updated: Jun 16, 2026

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
Published on: August 18, 2023
Evolution of dispersal and the ideal free distribution
Robert Stephen Cantrell1, Chris Cosner, Yuan Lou
1Department of Mathematics, University of Miami, P. O . Box 249085, Coral Gables, FL 33124-4250, United States. rsc@math.miami.edu
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.
Related Concept Videos
Distribution and Dispersion
Gene Flow
Speciation Rates
Genetic Drift
Genetics of Speciation
Limits to Natural Selection
