Coevolution of the reckless prey and the patient predator

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Berardo , C & Geritz , S 2021 , ' Coevolution of the reckless prey and the patient predator ' , Journal of Theoretical Biology , vol. 530 , 110873 .

Titel: Coevolution of the reckless prey and the patient predator
Författare: Berardo, Cecilia; Geritz, Stefanus
Upphovmannens organisation: Department of Mathematics and Statistics
Datum: 2021-12-07
Språk: eng
Sidantal: 12
Tillhör serie: Journal of Theoretical Biology
ISSN: 0022-5193
Permanenta länken (URI):
Abstrakt: The war of attrition in game theory is a model of a stand-off situation between two opponents where the winner is determined by its persistence. We model a stand-off between a predator and a prey when the prey is hiding and the predator is waiting for the prey to come out from its refuge, or when the two are locked in a situation of mutual threat of injury or even death. The stand-off is resolved when the predator gives up or when the prey tries to escape. Instead of using the asymmetric war of attrition, we embed the stand-off as an integral part of the predator-prey model of Rosenzweig and MacArthur derived from first principles. We apply this model to study the coevolution of the giving-up rates of the prey and the predator, using the adaptive dynamics approach. We find that the long term evolutionary process leads to three qualitatively different scenarios: the predator gives up immediately, while the prey never gives up; the predator never gives up, while the prey adopts any giving-up rate greater than or equal to a given positive threshold value; the predator goes extinct. We observe that some results are the same as for the asymmetric war of attrition, but others are quite different. (C) 2021 The Author(s). Published by Elsevier Ltd.
Subject: 1181 Ecology, evolutionary biology
111 Mathematics
Predator-prey model
Adaptive dynamics
Asymmetric war of attrition
Evolutionary game theory
Referentgranskad: Ja
Licens: cc_by
Användningsbegränsning: openAccess
Parallelpublicerad version: publishedVersion

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