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Modeling Selection on Conditional Strategies in Stochastic Environments

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

Abstract

Conditional strategies, in which individuals can exercise different tactics depending on the circumstances, are believed to be adaptive when the environment varies stochastically. We discuss a genetic model that treats such strategies as threshold traits. Examples are provided that illustrate how the model can be used to examine the effects of selection on conditional strategies when the environment varies spatially. The implications of the model for maintenance of conditional strategies in stochastic environments are discussed.

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© 1993 Springer-Verlag Berlin Heidelberg

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Hazel, W.N., Smock, R. (1993). Modeling Selection on Conditional Strategies in Stochastic Environments. 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_8

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  • DOI: https://doi.org/10.1007/978-3-642-51483-8_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56681-6

  • Online ISBN: 978-3-642-51483-8

  • eBook Packages: Springer Book Archive

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