Spatial heterogeneity and evolution of fecundity-affecting traits

Parvinen, K. ORCID:, Ohtsuki, H., & Wakano, J.Y. (2018). Spatial heterogeneity and evolution of fecundity-affecting traits. Journal of Theoretical Biology 454 (7) 190-204. 10.1016/j.jtbi.2018.06.005.

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It is widely recognized that spatial structure in a population has some, and occasionally great, impacts on ecological and evolutionary dynamics. However, it has been observed that in the homogeneous Wright’s island model with a certain standard demographic assumption, spatial structure does not affect the fitness gradient of a fecundity-affecting trait. The location and convergence stability of singular strategies thus remain unchanged. Furthermore, evolutionary branching is impossible for small dispersal rates, and for a wide class of fecundity functions, evolutionary branching is impossible for any dispersal rate if branching does not occur in the corresponding well-mixed model. Spatially homogeneous structure thus often inhibits evolutionary branching. Here we study the impact of spatial heterogeneity on evolutionary dynamics. We consider an infinite Wright’s island model, where different islands have different capacity and fecundity consequences, and therefore the population is spatially heterogeneous. Through the analysis of metapopulation fitness, we derive its first-order and second-order derivatives with respect to mutant’s trait, which are explicitly represented in terms of fecundity derivatives. The selection gradient turns out to be a biased average of local selection pressures in different patch types. We find that evolutionary branching is generally favored in the presence of spatial heterogeneity. We also find a simple condition under which evolutionary branching is particularly favored. Applications to public-goods cooperation and emergent evolutionary branching to cooperators and defectors are discussed.

Item Type: Article
Uncontrolled Keywords: Adaptive dynamics; Cooperation; Evolutionary branching; Natural selection; Dispersal
Research Programs: Evolution and Ecology (EEP)
Depositing User: Luke Kirwan
Date Deposited: 06 Jun 2018 13:22
Last Modified: 27 Aug 2021 17:30

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