Lotka–Volterra approximations for evolutionary trait-substitution processes

Ito, H.C., Dieckmann, U. ORCID: https://orcid.org/0000-0001-7089-0393, & Metz, H. (2020). Lotka–Volterra approximations for evolutionary trait-substitution processes. Journal of Mathematical Biology 80 2141-2226. 10.1007/s00285-020-01493-y.

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A set of axioms is formulated characterizing ecologically plausible community dynamics. Using these axioms, it is proved that the transients following an invasion into a sufficiently stable equilibrium community by a mutant phenotype similar to one of the community's finitely many resident phenotypes can always be approximated by means of an appropriately chosen Lotka-Volterra model. To this end, the assumption is made that similar phenotypes in the community form clusters that are well-separated from each other, as is expected to be generally the case when evolution proceeds through small mutational steps. Each phenotypic cluster is represented by a single phenotype, which we call an approximate phenotype and assign the cluster's total population density. We present our results in three steps. First, for a set of approximate phenotypes with arbitrary equilibrium population densities before the invasion, the Lotka-Volterra approximation is proved to apply if the changes of the population densities of these phenotypes are sufficiently small during the transient following the invasion. Second, quantitative conditions for such small changes of population densities are derived as a relationship between within-cluster differences and the leading eigenvalue of the community's Jacobian matrix evaluated at the equilibrium population densities before the invasion. Third, to demonstrate the utility of our results, the 'invasion implies substitution' result for monomorphic populations is extended to arbitrarily polymorphic populations consisting of well-recognizable and -separated clusters.

Item Type: Article
Uncontrolled Keywords: Adaptive dynamics; Attractor inheritance; Lotka–Volterra approximations; Lotka–Volterra models.
Research Programs: Evolution and Ecology (EEP)
Exploratory and Special projects (ESP)
Depositing User: Luke Kirwan
Date Deposited: 25 May 2020 03:46
Last Modified: 27 Aug 2021 17:33
URI: https://pure.iiasa.ac.at/16483

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