Optimal search behavior and classic foraging theory
Optimal search behavior and classic foraging theory
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DOI：
10.1088/1751-8113/42/43/434002
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发表时间：
2009-10-30
影响因子：
2.1
通讯作者：
Catalan, J.
中科院分区：
文献类型：
--
作者：
Bartumeus, F.;Catalan, J.
随机游动方法和扩散理论作为分析和描述动物运动的方法普遍存在于生态科学中。因此，统计物理学主要被视为一个工具箱，而不是一个可以为进化生物学和生态学理论做出贡献的概念框架。然而，行为过程和运动统计模式之间的机械关系和反馈的存在表明，除了运动量化，统计物理学可能被证明是从生态和进化的角度来理解不同尺度上的动物行为的适当框架。最近发展起来的随机搜索理论用来批判性地重新评估关于动物觅食的经典生态学问题。例如，在过去的几年里，关于搜索行为是否可以包括通过优化随机(随机)搜索来提高成功率的特征的争论越来越多。在这里，我们强调有必要将一般相遇问题纳入觅食理论，作为在生物学上对随机搜索的理解取得进展的一种手段。通过概述最优觅食理论(OFT)的假设和总结随机搜索策略的最新结果，我们指出了扩展经典OFT的方法，并将搜索策略及其主要结果的研究整合到更一般的最优觅食理论中。
Random walk methods and diffusion theory pervaded ecological sciences as methods to analyze and describe animal movement. Consequently, statistical physics was mostly seen as a toolbox rather than as a conceptual framework that could contribute to theory on evolutionary biology and ecology. However, the existence of mechanistic relationships and feedbacks between behavioral processes and statistical patterns of movement suggests that, beyond movement quantification, statistical physics may prove to be an adequate framework to understand animal behavior across scales from an ecological and evolutionary perspective. Recently developed random search theory has served to critically re-evaluate classic ecological questions on animal foraging. For instance, during the last few years, there has been a growing debate on whether search behavior can include traits that improve success by optimizing random (stochastic) searches. Here, we stress the need to bring together the general encounter problem within foraging theory, as a mean for making progress in the biological understanding of random searching. By sketching the assumptions of optimal foraging theory (OFT) and by summarizing recent results on random search strategies, we pinpoint ways to extend classic OFT, and integrate the study of search strategies and its main results into the more general theory of optimal foraging.