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dc.contributor.authorMichelot, Theo
dc.contributor.authorLangrock, Roland
dc.contributor.authorBestley, Sophie
dc.contributor.authorJonsen, Ian D.
dc.contributor.authorPhotopoulou, Theoni
dc.contributor.authorPatterson, Toby A.
dc.date.accessioned2018-04-11T10:44:18Z
dc.date.available2018-04-11T10:44:18Z
dc.date.issued2017-07
dc.identifier.citationMichelot , T , Langrock , R , Bestley , S , Jonsen , I D , Photopoulou , T & Patterson , T A 2017 , ' Estimation and simulation of foraging trips in land-based marine predators ' , Ecology , vol. 98 , no. 7 , pp. 1932-1944 . https://doi.org/10.1002/ecy.1880en
dc.identifier.issn0012-9658
dc.identifier.otherPURE: 252783175
dc.identifier.otherPURE UUID: 00daa32a-620c-440a-b0f8-bbbe72d84c41
dc.identifier.otherWOS: 000404875100019
dc.identifier.otherScopus: 85020443588
dc.identifier.otherORCID: /0000-0001-9616-9940/work/44748887
dc.identifier.urihttp://hdl.handle.net/10023/13114
dc.descriptionTM and TP received support from IMBER-CLIOTOP and Macquarie University Safety Net Grant 9201401743. SB was supported under an Australia Research Council Super Science Fellowship. IDJ was supported by a Macquarie Vice-Chancellors Innovation Fellowship. TAP was supported by a CSIRO Julius Career Award and the Villum Foundation.en
dc.description.abstractThe behavior of colony-based marine predators is the focus of much research globally. Large telemetry and tracking data sets have been collected for this group of animals, and are accompanied by many empirical studies that seek to segment tracks in some useful way, as well as theoretical studies of optimal foraging strategies. However, relatively few studies have detailed statistical methods for inferring behaviors in central place foraging trips. In this paper we describe an approach based on hidden Markov models, which splits foraging trips into segments labeled as "outbound", "search", "forage", and "inbound". By structuring the hidden Markov model transition matrix appropriately, the model naturally handles the sequence of behaviors within a foraging trip. Additionally, by structuring the model in this way, we are able to develop realistic simulations from the fitted model. We demonstrate our approach on data from southern elephant seals (Mirounga leonina) tagged on Kerguelen Island in the Southern Ocean. We discuss the differences between our 4-state model and the widely used 2-state model, and the advantages and disadvantages of employing a more complex model.
dc.format.extent13
dc.language.isoeng
dc.relation.ispartofEcologyen
dc.rights© 2017 by the Ecological Society of America. This work is made available online in accordance with the publisher’s policies. This is the final published version of the work, which was originally published at: https://doi.org/10.1002/ecy.1880en
dc.subjectAnimal telemetryen
dc.subjectCentral place foragingen
dc.subjectHidden Markov modelen
dc.subjectMirounga leoninaen
dc.subjectSouthern elephant sealen
dc.subjectQH301 Biologyen
dc.subjectDASen
dc.subject.lccQH301en
dc.titleEstimation and simulation of foraging trips in land-based marine predatorsen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews.School of Biologyen
dc.identifier.doihttps://doi.org/10.1002/ecy.1880
dc.description.statusPeer revieweden


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