Conditional evolutionarily stable strategies

Conditional Evolutionarily Stable Strategies

Evolution of conditional dispersal: evolutionarily stable strategies in spatial models.

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 in...

Evolutionarily stable dispersal strategies.

Using the idea that life-history parameters are subject to natural selection and should approach values that are stable optima, with the population immune to invasion by mutant individuals, we derive an analytic expression for the evolutionarily stable dispersal rate in a stochastic island model with random site extinction. The results provide interesting contrasts between three different optim...

10 Evolutionarily Stable Strategies

In 1973 the biologist John Maynard Smith and the mathematician G. R. Price wrote an article in Nature showing how game theory applies to the behavior of animals (Maynard Smith and Price 1973). Maynard Smith went on to write a book on the subject (Maynard Smith 1982), which has become a classic. The idea of applying game theory to animals, and not just the higher primates, but fish, dung beetles...

Evolutionarily stable and convergent stable strategies in reaction-diffusion models for conditional dispersal.

We consider a mathematical model of two competing species for the evolution of conditional dispersal in a spatially varying, but temporally constant environment. Two species are different only in their dispersal strategies, which are a combination of random dispersal and biased movement upward along the resource gradient. In the absence of biased movement or advection, Hastings showed that the ...