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Modelling evolutionarily stable strategies in oviposition site selection, with varying risks of predation and intraspecific competition

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Abstract

Many ovipositing mosquitoes, as well as other species, can detect biotic factors that affect fitness. However, a female mosquito seeking a high quality oviposition site (e.g. one with low risk of predation and competition to her progeny) must often balance the competing risk of increasing probability of mortality to herself while she continues to search, against increased probability of finding a high quality site. Such oviposition site selection may affect adult population size. We examined a female mosquito’s expected strategy of oviposition site selection under conditions of varying predator prevalence and adult mortality risk, by combining a detailed structured population model with a Markov chain implementation of the adult behavioural process. We used parameter values from the specific mosquito-predator system, Culiseta longiareolata-Notonecta maculata, although the overall results can be generalised to many mosquito species. Our model finds the evolutionarily stable strategy of oviposition site selection for different parameter combinations. Our model predicts that oviposition strategy does not vary smoothly with varying environmental risk of adult mortality, but that certain oviposition strategies become unstable at some parameter values. Mosquitoes will distribute their reproductive effort between breeding sites of varying predation risk only when adult mortality is low or larval competition high. Our model predicts that females will continue searching for predator-free pools, rather than oviposit in the first site encountered, regardless of the risk of mortality to the adult. The ecological basis for a reproductive strategy with alternative behaviours is important for understanding the effect of biotic factors on the population dynamics of mosquitoes, and for the development of biological control strategies, such as the dissemination of predator-cue chemicals.

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Authors and Affiliations

  1. Department of Evolutionary and Environmental Biology, Faculty of Natural Sciences, and the Institute of Evolution, University of Haifa, Haifa, Israel

    Arik Kershenbaum & Leon Blaustein

  2. School of Environmental Sciences, University of Liverpool, Liverpool, England, UK

    Matthew Spencer

  3. Laboratory of Populations, Rockefeller University and Columbia University, New York, NY, USA

    Joel E. Cohen

Authors
  1. Arik Kershenbaum
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  2. Matthew Spencer
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  3. Leon Blaustein
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  4. Joel E. Cohen
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Correspondence to Arik Kershenbaum.

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Kershenbaum, A., Spencer, M., Blaustein, L. et al. Modelling evolutionarily stable strategies in oviposition site selection, with varying risks of predation and intraspecific competition. Evol Ecol 26, 955–974 (2012). https://doi.org/10.1007/s10682-011-9548-9

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  • DOI: https://doi.org/10.1007/s10682-011-9548-9

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