Department of Mathematical Sciences, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon, 305-701, South Korea,
Bull Math Biol. 2013 Dec;75(12):2474-98. doi: 10.1007/s11538-013-9904-8. Epub 2013 Oct 3.
It is widely believed that the slowest dispersal strategy is selected in the evolutional if the environment is temporally invariant but spatially heterogeneous. Authors claim in this paper that this belief is true only if random dispersals with constant motility are considered. However, if a dispersal strategy with fitness property is included, the size of the dispersal is not such a crucial factor anymore. Recently, a starvation driven diffusion has been introduced by Cho and Kim (Bull. Math. Biol., 2013), which is a random dispersal strategy with a motility increase on starvation. The authors show that such a dispersal strategy has fitness property and that the evolutional selection favors fitness but not simply slowness. Such a conclusion is obtained from a stability analysis of a competition system between two phenotypes with different dispersal strategies of linear and starvation driven diffusions.
人们普遍认为，如果环境在时间上不变但在空间上异质，那么在进化中会选择最慢的扩散策略。本文作者声称，只有在考虑具有恒定迁移率的随机扩散时，这种信念才是正确的。然而，如果包含具有适合度特性的扩散策略，则扩散的大小不再是一个关键因素。最近，Cho 和 Kim（Bull. Math. Biol.，2013）引入了一种由饥饿驱动的扩散，这是一种具有饥饿时迁移率增加的随机扩散策略。作者表明，这种扩散策略具有适合度特性，进化选择有利于适合度，而不仅仅是缓慢。这一结论是从对具有线性和饥饿驱动扩散的两种不同扩散策略的表型的竞争系统的稳定性分析中得出的。
