Evolutionarily Stable Strategies for Fecundity and Swimming Speed of Fish

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dc.contributor.authorPlank, M.J.
dc.contributor.authorPitchford, J.W.
dc.contributor.authorJames, A.
dc.date.accessioned2016-06-26T21:44:21Z
dc.date.available2016-06-26T21:44:21Z
dc.date.issued2016en
dc.description.abstractMany pelagic fish species have a life history that involves producing a large number of small eggs. This is the result of a trade-off between fecundity and larval survival probability. There are also trade-offs involving other traits, such as larval swimming speed. Swimming faster increases the average food encounter rate but also increases the metabolic cost. Here we introduce an evolutionary model comprising fecundity and swimming speed as heritable traits. We show that there can be two evolutionary stable strategies. In environments where there is little noise in the food encounter rate, the stable strategy is a low-fecundity strategy with a swimming speed that minimises the mean time taken to reach reproductive maturity. However, in noisy environments, for example where the prey distribution is patchy or the water is turbulent, strategies that optimise mean outcomes are often outperformed by strategies that increase inter-individual variance. We show that, when larval growth rates are unpredictable, a high-fecundity strategy is evolutionarily stable. In a population following this strategy, the swimming speed is higher than would be anticipated by maximising the mean growth rate.en
dc.identifier.citationPlank, M.J., Pitchford, J.W., James, A. (2016) Evolutionarily Stable Strategies for Fecundity and Swimming Speed of Fish. Bulletin of Mathematical Biology, 78(2), pp. 280-292.en
dc.identifier.doihttps://doi.org/10.1007/s11538-016-0143-7
dc.identifier.urihttp://hdl.handle.net/10092/12366
dc.language.isoen
dc.publisherUniversity of Canterbury. Mathematics and Statisticsen
dc.rights.urihttps://hdl.handle.net/10092/17651
dc.subjectfirst passage timeen
dc.subjectfish egg sizeen
dc.subjectfish growth rateen
dc.subjectgenetic algorithmen
dc.subjectpatchinessen
dc.subjectstochastic growthen
dc.subject.anzsrcFields of Research::49 - Mathematical sciences::4901 - Applied mathematics::490102 - Biological mathematicsen
dc.subject.anzsrcFields of Research::49 - Mathematical sciences::4905 - Statistics::490510 - Stochastic analysis and modellingen
dc.subject.anzsrcField of Research::07 - Agricultural and Veterinary Sciences::0704 - Fisheries Sciencesen
dc.titleEvolutionarily Stable Strategies for Fecundity and Swimming Speed of Fishen
dc.typeJournal Article
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