Estimating encounter location distributions from animal tracking data

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dc.contributor.authorNoonan, Michael J.
dc.contributor.authorMartinez-Garcia, Ricardo [UNESP]
dc.contributor.authorDavis, Grace H.
dc.contributor.authorCrofoot, Margaret C.
dc.contributor.authorKays, Roland
dc.contributor.authorHirsch, Ben T.
dc.contributor.authorCaillaud, Damien
dc.contributor.authorPayne, Eric
dc.contributor.authorSih, Andrew
dc.contributor.authorSinn, David L.
dc.contributor.authorSpiegel, Orr
dc.contributor.authorFagan, William F.
dc.contributor.authorFleming, Christen H.
dc.contributor.authorCalabrese, Justin M.
dc.contributor.institutionThe University of British Columbia
dc.contributor.institutionNational Zoological Park
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversity of California
dc.contributor.institutionSmithsonian Tropical Research Institute
dc.contributor.institutionMax Planck Institute of Animal Behavior
dc.contributor.institutionUniversity of Konstanz
dc.contributor.institutionNorth Carolina Museum of Natural Sciences and North Carolina State University
dc.contributor.institutionJames Cook University
dc.contributor.institutionUniversity of California Davis
dc.contributor.institutionTel Aviv University
dc.contributor.institutionUniversity of Maryland
dc.contributor.institutionCenter for Advanced Systems Understanding (CASUS)
dc.contributor.institutionHelmholtz-Zentrum Dresden Rossendorf (HZDR)
dc.contributor.institutionHelmholtz Centre for Environmental Research (UFZ)
dc.date.accessioned2021-06-25T10:58:24Z
dc.date.available2021-06-25T10:58:24Z
dc.date.issued2021-01-01
dc.description.abstractEcologists have long been interested in linking individual behaviour with higher level processes. For motile species, this ‘upscaling’ is governed by how well any given movement strategy maximizes encounters with positive factors and minimizes encounters with negative factors. Despite the importance of encounter events for a broad range of ecological processes, encounter theory has not kept pace with developments in animal tracking or movement modelling. Furthermore, existing work has focused primarily on the relationship between animal movement and encounter rates while the relationship between individual movement and the spatial locations of encounter events in the environment has remained conspicuously understudied. Here, we bridge this gap by introducing a method for describing the long-term encounter location probabilities for movement within home ranges, termed the conditional distribution of encounters (CDE). We then derive this distribution, as well as confidence intervals, implement its statistical estimator into open-source software and demonstrate the broad ecological relevance of this distribution. We first use simulated data to show how our estimator provides asymptotically consistent estimates. We then demonstrate the general utility of this method for three simulation-based scenarios that occur routinely in biological systems: (a) a population of individuals with home ranges that overlap with neighbours; (b) a pair of individuals with a hard territorial border between their home ranges; and (c) a predator with a large home range that encompassed the home ranges of multiple prey individuals. Using GPS data from white-faced capuchins Cebus capucinus, tracked on Barro Colorado Island, Panama, and sleepy lizards Tiliqua rugosa, tracked in Bundey, South Australia, we then show how the CDE can be used to estimate the locations of territorial borders, identify key resources, quantify the potential for competitive or predatory interactions and/or identify any changes in behaviour that directly result from location-specific encounter probability. The CDE enables researchers to better understand the dynamics of populations of interacting individuals. Notably, the general estimation framework developed in this work builds straightforwardly off of home range estimation and requires no specialized data collection protocols. This method is now openly available via the ctmm R package.en
dc.description.affiliationDepartment of Biology The Irving K. Barber Faculty of Science The University of British Columbia
dc.description.affiliationSmithsonian Conservation Biology Institute National Zoological Park
dc.description.affiliationICTP South American Institute for Fundamental Research & Instituto de Fisica Teorica – UNESP
dc.description.affiliationDepartment of Anthropology University of California
dc.description.affiliationSmithsonian Tropical Research Institute
dc.description.affiliationDepartment for the Ecology of Animal Societies Max Planck Institute of Animal Behavior
dc.description.affiliationDepartment of Biology University of Konstanz
dc.description.affiliationCentre for the Advanced Study of Collective Behaviour University of Konstanz
dc.description.affiliationNorth Carolina Museum of Natural Sciences and North Carolina State University
dc.description.affiliationCollege of Science and Engineering James Cook University
dc.description.affiliationDepartment of Environmental Science and Policy University of California Davis
dc.description.affiliationSchool of Zoology Faculty of Life Sciences Tel Aviv University
dc.description.affiliationDepartment of Biology University of Maryland
dc.description.affiliationCenter for Advanced Systems Understanding (CASUS)
dc.description.affiliationHelmholtz-Zentrum Dresden Rossendorf (HZDR)
dc.description.affiliationDepartment of Ecological Modelling Helmholtz Centre for Environmental Research (UFZ)
dc.description.affiliationUnespICTP South American Institute for Fundamental Research & Instituto de Fisica Teorica – UNESP
dc.identifierhttp://dx.doi.org/10.1111/2041-210X.13597
dc.identifier.citationMethods in Ecology and Evolution.
dc.identifier.doi10.1111/2041-210X.13597
dc.identifier.issn2041-210X
dc.identifier.scopus2-s2.0-85104578184
dc.identifier.urihttp://hdl.handle.net/11449/207635
dc.language.isoeng
dc.relation.ispartofMethods in Ecology and Evolution
dc.sourceScopus
dc.subjectanimal movement
dc.subjectCebus capucinus
dc.subjectcontact
dc.subjecthome range
dc.subjectinteractions
dc.subjectTiliqua rugosa
dc.titleEstimating encounter location distributions from animal tracking dataen
dc.typeArtigo
unesp.author.orcid0000-0003-4512-0535[1]
unesp.author.orcid0000-0003-2765-8147[2]
unesp.author.orcid0000-0003-1711-6985[3]
unesp.author.orcid0000-0002-2947-6665[5]
unesp.author.orcid0000-0003-0142-7340[6]
unesp.author.orcid0000-0002-0730-0837[8]
unesp.author.orcid0000-0001-6161-1663[9]
unesp.author.orcid0000-0001-8941-3175[11]
unesp.author.orcid0000-0003-2433-9052[12]
unesp.author.orcid0000-0002-9356-6518[13]
unesp.author.orcid0000-0003-0575-6408[14]

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