A numerical approach to determine mutant invasion fitness and evolutionary singular strategies

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Fritsch , C , Campillo , F & Ovaskainen , O 2017 , ' A numerical approach to determine mutant invasion fitness and evolutionary singular strategies ' , Theoretical Population Biology , vol. 115 , pp. 89-99 . https://doi.org/10.1016/j.tpb.2017.05.001

Title: A numerical approach to determine mutant invasion fitness and evolutionary singular strategies
Author: Fritsch, Coralie; Campillo, Fabien; Ovaskainen, Otso
Contributor organization: Biosciences
Otso Ovaskainen / Principal Investigator
Centre of Excellence in Metapopulation Research
Date: 2017-06
Language: eng
Number of pages: 11
Belongs to series: Theoretical Population Biology
ISSN: 0040-5809
DOI: https://doi.org/10.1016/j.tpb.2017.05.001
URI: http://hdl.handle.net/10138/307548
Abstract: We propose a numerical approach to study the invasion fitness of a mutant and to determine evolutionary singular strategies in evolutionary structured models in which the competitive exclusion principle holds. Our approach is based on a dual representation, which consists of the modeling of the small size mutant population by a stochastic model and the computation of its corresponding deterministic model. The use of the deterministic model greatly facilitates the numerical determination of the feasibility of invasion as well as the convergence-stability of the evolutionary singular strategy. Our approach combines standard adaptive dynamics with the link between the mutant survival criterion in the stochastic model and the sign of the eigenvalue in the corresponding deterministic model. We present our method in the context of a mass-structured individual-based chemostat model. We exploit a previously derived mathematical relationship between stochastic and deterministic representations of the mutant population in the chemostat model to derive a general numerical method for analyzing the invasion fitness in the stochastic models. Our method can be applied to the broad class of evolutionary models for which a link between the stochastic and deterministic invasion fitnesses can be established. (C) 2017 Elsevier Inc. All rights reserved.
Subject: Adaptive dynamics
Invasion fitness
Chemostat
Evolutionary singular strategy
Growth-fragmentation model
Individual-based model
MODEL
POPULATION
DYNAMICS
GROWTH
1181 Ecology, evolutionary biology
Peer reviewed: Yes
Rights: other
Usage restriction: openAccess
Self-archived version: acceptedVersion


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