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Coexistence in Stochastic Environments through a Life History Trade Off in Drosophila

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Part of the book series: Lecture Notes in Biomathematics ((LNBM,volume 98))

Summary

The coexistence of competing species may be mediated by various mechanisms including resource partitioning and various kinds of environmental heterogeneity. In this paper we show how differences in life history enhance coexistence in stochastic environments. In Drosophila species, as in many other taxa, the developmental period is proportional to adult survival. A short developmental period, i.e. a high developmental rate, enhances the competitive ability of larvae. High adult survival, on the other hand, must increase the probability of reaching new breeding sites in space and time. We present a model of two competing species to investigate the consequences of the trade off. The model features density dependent mortality (due to competition) in the larval stage, and age dependent mortality in the adult stage. Breeding opportunities occur with a certain probability per time step. This is the only stochastic component of the model. The model demonstrates that fast growing, short lived species are superior when breeding opportunities are frequent. Slower growing, long lived species are superior when breeding opportunities are rare in time. A sensitivity analysis indicates that this conclusion is qualitatively robust. The mutual invasibility criterion reveals that stable coexistence will occur for certain feeding probabilities.

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© 1993 Springer-Verlag Berlin Heidelberg

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Sevenster, J.G., van Alphen, J.J.M. (1993). Coexistence in Stochastic Environments through a Life History Trade Off in Drosophila. In: Yoshimura, J., Clark, C.W. (eds) Adaptation in Stochastic Environments. Lecture Notes in Biomathematics, vol 98. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-51483-8_9

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  • DOI: https://doi.org/10.1007/978-3-642-51483-8_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56681-6

  • Online ISBN: 978-3-642-51483-8

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