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The Interaction between Predator Strategy and Prey Competition in a pair of Multi-Predator Multi-Prey Lattices

Abernethy, Gavin, McCartney, Mark and Glass, David H. (2017) The Interaction between Predator Strategy and Prey Competition in a pair of Multi-Predator Multi-Prey Lattices. Communications in Nonlinear Science and Numerical Simulation, 56 . pp. 9-33. [Journal article]

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DOI: 10.1016/j.cnsns.2017.06.012

Abstract

A computational study of a system of ten prey phenotypes and either one or ten predator phenotypes with a range offoraging behaviours, arranged on two separate one-dimensional lattices, is presented. Mutation between nearest neighboursalong the prey lattice occurs at a constant rate, and mutation may or may not be enabled for the predators. The signi canceof competition amongst the prey is investigated by testing a variety of distributions of the relative intraspeci c andinterspeci c competition. We also study the inuence this has on the survival and population size of predator phenotypeswith a variety of foraging strategies. Our results indicate that the distribution of competition amongst prey is of littlesigni cance, provided that intraspeci c is stronger than the interspeci c, and that it is typically preferable for a predatorto adopt a foraging strategy that scales linearly with prey population sizes if it is alone. In an environment of multiplepredator phenotypes, the least or most-focused predators are most likely to persist, dependent on the feeding parameter.

Item Type:Journal article
Keywords:computational ecology, nonlinear systems, coupled map lattices
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:38447
Deposited By: Dr Mark McCartney
Deposited On:11 Aug 2017 10:29
Last Modified:17 Oct 2017 16:31

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