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- W3145720716 abstract "How do temporally stochastic environments affect risk sensitivity in foraging behavior? We build a simple model of foraging under predation risks in sto- chastic environments, where the environments change over generations. We analyze the effects of stochastic environ- ments on risk sensitivity of foraging animals by means of the difference between the geometric mean fitness and the arithmetic mean fitness. We assume that foraging is asso- ciated with predation risks whereas resting in the nest is safe because it is free of predators. In each generation, two different environments with given food amounts and pre- dation risks occur with a certain probability. The geometric mean optimum is independent of food amounts. In most cases of stochastic environments, risk-averse tendency is increased, but in some limited conditions, more risk-prone behavior is favored. Specifically, risk-prone tendency is increased when the variation in food amount increases. Our results imply that the optimal behavior depends on the probability distribution of environmental effects under all selection regimes." @default.
- W3145720716 created "2021-04-13" @default.
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- W3145720716 date "2013-01-01" @default.
- W3145720716 modified "2023-09-27" @default.
- W3145720716 title "Foraging behavior in stochastic environments" @default.
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