Stochastic patch exploitation model

Abstract

Restricted accessMoreSectionsView PDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InRedditEmail Cite this article Rita H. and Ranta E. 1998Stochastic patch exploitation modelProc. R. Soc. Lond. B.265309–315http://doi.org/10.1098/rspb.1998.0297SectionRestricted accessStochastic patch exploitation model H. Rita H. Rita Integrative Ecology Unit, Division of Population Biology, Department of Ecology and Systematics, P.O. Box 17 (Arkadiankatu 7), FIN– 00014 University of Helsinki, Finland Google Scholar Find this author on PubMed Search for more papers by this author and E. Ranta E. Ranta Integrative Ecology Unit, Division of Population Biology, Department of Ecology and Systematics, P.O. Box 17 (Arkadiankatu 7), FIN– 00014 University of Helsinki, Finland Department of Zoology, Uppsala UniversitySweden [email protected] Google Scholar Find this author on PubMed Search for more papers by this author H. Rita H. Rita Integrative Ecology Unit, Division of Population Biology, Department of Ecology and Systematics, P.O. Box 17 (Arkadiankatu 7), FIN– 00014 University of Helsinki, Finland Google Scholar Find this author on PubMed Search for more papers by this author and E. Ranta E. Ranta Integrative Ecology Unit, Division of Population Biology, Department of Ecology and Systematics, P.O. Box 17 (Arkadiankatu 7), FIN– 00014 University of Helsinki, Finland Department of Zoology, Uppsala UniversitySweden [email protected] Google Scholar Find this author on PubMed Search for more papers by this author Published:22 February 1998https://doi.org/10.1098/rspb.1998.0297AbstractA solitary animal is foraging in a patch consisting of discrete prey items. We develop a stochastic model for the accumulation of gain as a function of elapsed time in the patch. The model is based on the waiting times between subsequent encounters with the prey items. The novelty of the model is in that it renders possible—via parameterization of the waiting time distributions—the incorporation of different foraging situations and patch structures into the gain process. The flexibility of the model is demonstrated with different foraging scenarios. Dependence of gain expectation and variance of the parameters of the waiting times is studied under these conditions. The model allows us to comment upon some of the basic concepts in contemporary foraging theory. Previous ArticleNext Article VIEW FULL TEXT DOWNLOAD PDF FiguresRelatedReferencesDetailsCited byKilpatrick Z, Davidson J and El Hady A (2021) Uncertainty drives deviations in normative foraging decision strategies, Journal of The Royal Society Interface, 18:180, Online publication date: 1-Jul-2021. Oudman T, Bijleveld A, Kavelaars M, Dekinga A, Cluderay J, Piersma T, van Gils J and Gill J (2016) Diet preferences as the cause of individual differences rather than the consequence, Journal of Animal Ecology, 10.1111/1365-2656.12549, 85:5, (1378-1388), Online publication date: 1-Sep-2016. Nilsson P and Ruxton G (2004) Temporally fluctuating prey and interfering predators: a positive feedback, Animal Behaviour, 10.1016/j.anbehav.2003.10.015, 68:1, (159-165), Online publication date: 1-Jul-2004. Davidson J, El Hady A and Flack J (2019) Foraging as an evidence accumulation process, PLOS Computational Biology, 10.1371/journal.pcbi.1007060, 15:7, (e1007060) This Issue22 February 1998Volume 265Issue 1393 Article InformationDOI:https://doi.org/10.1098/rspb.1998.0297Published by:Royal SocietyPrint ISSN:0962-8452Online ISSN:1471-2954History: Published online22/02/1998Published in print22/02/1998 License: Citations and impact Keywordsassortative groupingunequal competitiongroup foragingmarginal value theoremindividual's benefit Large datasets are available through Proceedings B's partnership with Dryad