MMEE2024

Mathematical Models in Ecology and Evolution

July 15-18, 2024
Vienna, AUSTRIA

"Evolution of dispersal in metapopulation models"

Parvinen, Kalle

Invasion fitness is the long-term exponential growth rate of a rare mutant in the environment set by the resident. It is a key concept in adaptive dynamics, which is a general mathematical framework for studying evolution by natural selection in realistic population models. A mutant may invade if it has positive invasion fitness. Adaptive dynamics investigates long-term consequences of such invasions. For example, divergent selection can result in evolutionary branching, and the conflict between individual-level and population-level benefits may cause extinction through evolutionary suicide. Metapopulation models describe population dynamics in fragmented landscapes. A metapopulation is thus a collection of local populations connected with dispersal. In metapopulation models the invasion fitness is often difficult to calculate. The metapopulation reproduction ratio is often easier to calculate. Consider a single mutant disperser arriving in a patch. This mutant may reproduce and thus gain descendants in this patch, but this will not necessarily happen because of demographic stochasticity. As long as this mutant or at least one of its descendants is present in the local population, we call it a mutant colony. Again, because of demographic stochasticity or catastrophes, the mutant colony will eventually go extinct. During its lifetime, some mutants will emigrate from this mutant colony to the disperser pool. Their average number is the metapopulation reproduction ratio of the mutant. In other words, it is the expected number of successful dispersers produced by a typical mutant colony initiated by a single mutant disperser. In this talk I will present general results about the evolution of dispersal in metapopulation models, and discuss general mechanisms selecting for/against dispersal, including temporal heterogeneity vs. constant environments, spatial heterogeneity, kin competition and direct cost of dispersal. References: Parvinen K., Ohtsuki H. , and Wakano J. Y.: Evolution of dispersal in a spatially heterogeneous population with finite patch sizes Proc. Natl. Acad. Sci. USA 117, 7290–7295 (2020) Parvinen K., Ohtsuki H. , and Wakano J. Y.: Evolution of dispersal under spatio-temporal heterogeneity J. Theor. Biol. 574, 111612 (2023)

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