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- W2001784653 abstract "The reproductive strategy of a female distributing her eggs over many patches comprises decisions on (1) how many eggs to deposit in a given patch, (2) what sex ratio to produce, and (3) how many patches to visit. In this article simultaneous evolutionarily stable strategy (ESS) solutions are presented for cases in which there is local mate competition and these three decisions interact, a situation that has not been studied previously. Y. Yamaguchi developed a model of optimum sex allocation for foundresses that contribute different numbers of eggs to one patch. Yamaguchi's model is extended here to examine the more general case in which females distribute their eggs over several patches. The key element is that females that visit a larger number of patches (relative to other females) and thus produce smaller clutches in each patch should produce a (relatively) smaller proportion of daughters. These females obtain a higher fitness per egg but invest more time in traveling. A simultaneous ESS is obtained for three variables, that is, clutch size, sex ratio, and number of patches visited, and for two different cases, namely, egg-limited females (no travel costs) and time-limited females (traveling is costly). Analysis shows that sex-allocation strategies can be an important driving force in the distribution of eggs over patches. The predictions of these models are strongly influenced by whether or not the females are able to use information about each other's clutch size. To test the validity of the model predictions, the dispersal behavior of plant-inhabiting predatory mites (Acari: Phytoseiidae) is considered in detail. The females distribute their eggs over many patches even when there is an ample supply of food. The models suggest that dispersal of the predatory mite females is a consequence of the sex-allocation games they play." @default.
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- W2001784653 date "1994-08-01" @default.
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- W2001784653 title "Simultaneous Optimization of Egg Distribution and Sex Allocation in a Patch-Structured Population" @default.
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- W2001784653 doi "https://doi.org/10.1086/285674" @default.
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