Foraging behavior in stochastic environments
Foraging behavior in stochastic environments
复制标题
随机环境中的觅食行为
DOI：
10.1007/s10164-012-0344-y
复制
发表时间：
2012
影响因子：
0.9
通讯作者：
Kei-ichi Tainaka and Jin Yoshimura
中科院分区：
文献类型：
--
作者：
Hiromu Ito;Takashi Uehara;Satoru Morita;Kei-ichi Tainaka and Jin Yoshimura
时间随机环境如何影响觅食行为的风险敏感性？我们建立了一个简单的模型，捕食风险下的随机环境中，环境的世代变化。利用几何平均适应度和算术平均适应度的差异，分析了随机环境对觅食动物风险敏感性的影响。我们假设觅食与捕食风险有关，而在巢中休息是安全的，因为它没有捕食者。在每一代中，两个不同的环境，给定的食物量和捕食风险以一定的概率发生。几何平均最佳值与食物量无关。在大多数随机环境下，风险厌恶倾向增加，但在某些有限的条件下，更倾向于风险的行为。具体而言，当食物量的变化增加时，风险倾向增加。我们的研究结果表明，最佳行为取决于所有选择制度下的环境效应的概率分布。
How do temporally stochastic environments affect risk sensitivity in foraging behavior? We build a simple model of foraging under predation risks in stochastic environments, where the environments change over generations. We analyze the effects of stochastic environments 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 associated 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 predation 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.