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• W2111740914 startingPage "434002" @default.
• W2111740914 abstract "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." @default.
• W2111740914 created "2016-06-24" @default.
• W2111740914 creator A5050710342 @default.
• W2111740914 creator A5090092538 @default.
• W2111740914 date "2009-10-13" @default.
• W2111740914 modified "2023-10-01" @default.
• W2111740914 title "Optimal search behavior and classic foraging theory" @default.
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• W2111740914 doi "https://doi.org/10.1088/1751-8113/42/43/434002" @default.
• W2111740914 hasPublicationYear "2009" @default.
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