Department of Mathematics, University of Miami, P. O . Box 249085, Coral Gables, FL 33124-4250, United States.
Math Biosci Eng. 2010 Jan;7(1):17-36. doi: 10.3934/mbe.2010.7.17.
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.
在扩散进化的研究中,一个普遍的问题是哪种扩散策略可以带来竞争优势,从而进化。我们考虑了一个两种群竞争模型,其中假设物种具有相同的种群动态,但具有不同的扩散策略。两种群都通过随机扩散和沿着某些梯度的平流进行扩散,具有相同的随机扩散率,但平流系数不同。我们发现了一种条件扩散策略,它导致了物种的理想自由分布,并表明它是局部进化稳定策略。我们进一步表明,在适当的假设下,这种策略也是全局收敛稳定策略,我们的结果说明了条件扩散的进化如何导致理想的自由分布。其背后的生物学原因是,具有这种特殊扩散策略的物种可以与环境资源完美匹配,从而使其在整个栖息地中的适应度达到平衡。