Abstract
An ab-initio numerical study of the density-dependent, evolutionary stable dispersal strategy is presented. The simulations are based on a simple discretei generation island model with four processes: reproduction, dispersal, competition and local catastrophe. We do not impose any a priori constraints on the dispersal schedule, allowing the entire schedule to evolve. We find that the system converges at long times to a unique nontrivial dispersal schedule such that the dispersal probability is a monotonically increasing function of the density. We have explored the dependence of the selected dispersal strategy on the various system parameters: mean number of offspring, site carrying capacity, dispersal cost and system size. A few general scaling laws are seen to emerge from the data.
Connections
Explore this paper’s authors, topics and related work.
Building this map preview
BZPEER is loading the nearby papers, people, topics and institutions for this page.
Reviews 0
Write a review
No reviews yet.
Discussion 0
Add a comment
No comments yet.