首页> 美国卫生研究院文献>Journal of the Royal Society Interface >Fitness-maximizing foragers can use information about patch quality to decide how to search for and within patches: optimal Lévy walk searching patterns from optimal foraging theory
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Fitness-maximizing foragers can use information about patch quality to decide how to search for and within patches: optimal Lévy walk searching patterns from optimal foraging theory

机译:适应性最大化的觅食者可以使用有关补丁质量的信息来决定如何搜索补丁以及如何在补丁中进行搜索:基于最优觅食理论的最优Lévy步行搜索模式

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摘要

Optimal foraging theory shows how fitness-maximizing foragers can use information about patch quality to decide how to search within patches. It is amply supported by empirical studies. Nonetheless, the theory largely ignores the fact that foragers may need to search for patches as well as for the targets within them. Here, using an exact but simple mathematical argument, it is shown how foragers can use information about patch quality to facilitate the execution of Lévy walk movement patterns with μ = 2 at inter-patch scales. These movement patterns are advantageous when searching for patches that are not depleted or rejected once visited but instead remain profitable. The analytical results are verified by the results of numerical simulations. The findings bring forth an innovative theoretical synthesis of searching for and within patches and, suggest that foragers' memories may be adaptive under spatially heterogeneous reward schedules.
机译:最佳觅食理论显示了适合度最大化的觅食者如何使用有关斑块质量的信息来决定如何在斑块内进行搜索。它得到了经验研究的充分支持。尽管如此,该理论在很大程度上忽略了觅食者可能需要搜索斑块以及其中的目标这一事实。在这里,使用精确但简单的数学论证,说明了觅食者如何使用补丁质量信息来促进补丁间距为μ= 2的Lévy步行运动模式的执行。这些运动模式在搜索补丁时非常有用,这些补丁一旦访问就不会耗尽或拒绝,而是可以保持盈利。数值模拟结果验证了分析结果。这些发现带来了在斑块中寻找和在斑块内寻找的创新理论综合,并表明觅食者的记忆可能在空间异构奖励计划下具有适应性。

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