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dc.contributor.authorWensveen, Paul J.
dc.contributor.authorThomas, Len
dc.contributor.authorMiller, Patrick J O
dc.date.accessioned2017-11-01T16:30:15Z
dc.date.available2017-11-01T16:30:15Z
dc.date.issued2015-09-21
dc.identifier.citationWensveen , P J , Thomas , L & Miller , P J O 2015 , ' A path reconstruction method integrating dead-reckoning and position fixes applied to humpback whales ' , Movement Ecology , vol. 3 , 31 . https://doi.org/10.1186/s40462-015-0061-6en
dc.identifier.issn2051-3933
dc.identifier.otherPURE: 245839294
dc.identifier.otherPURE UUID: 9b1c4eea-98b2-4183-a474-da776189df07
dc.identifier.otherPubMed: 26392865
dc.identifier.otherPubMedCentral: PMC4576411
dc.identifier.otherScopus: 84982874822
dc.identifier.otherORCID: /0000-0002-7436-067X/work/29591675
dc.identifier.otherWOS: 000215741800031
dc.identifier.urihttp://hdl.handle.net/10023/11976
dc.descriptionPW received a PhD studentship with matched funding from The Netherlands Ministry of Defence (administered by TNO) and the UK Natural Environment Research Council (NE/J500276/1). The 3S2 project was funded by the US Office of Naval Research (N00014-10-1-0355), the Norwegian Ministry of Defence, and The Netherlands Ministry of Defence. Part of this work was supported by the Multi-study Ocean acoustics Human effects Analysis (MOCHA) project funded by the US Office of Naval Research (N00014-12-1-0204).en
dc.description.abstractBACKGROUND: Detailed information about animal location and movement is often crucial in studies of natural behaviour and how animals respond to anthropogenic activities. Dead-reckoning can be used to infer such detailed information, but without additional positional data this method results in uncertainty that grows with time. Combining dead-reckoning with new Fastloc-GPS technology should provide good opportunities for reconstructing georeferenced fine-scale tracks, and should be particularly useful for marine animals that spend most of their time under water. We developed a computationally efficient, Bayesian state-space modelling technique to estimate humpback whale locations through time, integrating dead-reckoning using on-animal sensors with measurements of whale locations using on-animal Fastloc-GPS and visual observations. Positional observation models were based upon error measurements made during calibrations. RESULTS: High-resolution 3-dimensional movement tracks were produced for 13 whales using a simple process model in which errors caused by water current movements, non-location sensor errors, and other dead-reckoning errors were accumulated into a combined error term. Positional uncertainty quantified by the track reconstruction model was much greater for tracks with visual positions and few or no GPS positions, indicating a strong benefit to using Fastloc-GPS for track reconstruction. Compared to tracks derived only from position fixes, the inclusion of dead-reckoning data greatly improved the level of detail in the reconstructed tracks of humpback whales. Using cross-validation, a clear improvement in the predictability of out-of-set Fastloc-GPS data was observed compared to more conventional track reconstruction methods. Fastloc-GPS observation errors during calibrations were found to vary by number of GPS satellites received and by orthogonal dimension analysed; visual observation errors varied most by distance to the whale. CONCLUSIONS: By systematically accounting for the observation errors in the position fixes, our model provides a quantitative estimate of location uncertainty that can be appropriately incorporated into analyses of animal movement. This generic method has potential application for a wide range of marine animal species and data recording systems.
dc.format.extent16
dc.language.isoeng
dc.relation.ispartofMovement Ecologyen
dc.rights© 2015 Wensveen et al. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en
dc.subjectMegaptera novaeangliaeen
dc.subjectMarine mammalen
dc.subjectPositioningen
dc.subjectFine-scale movementen
dc.subjectState-space modelen
dc.subjectBio-loggingen
dc.subjectTrack reconstructionen
dc.subjectArchival tagen
dc.subjectFocal followen
dc.subjectQH301 Biologyen
dc.subjectDASen
dc.subject.lccQH301en
dc.titleA path reconstruction method integrating dead-reckoning and position fixes applied to humpback whalesen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Biologyen
dc.contributor.institutionUniversity of St Andrews.Statisticsen
dc.contributor.institutionUniversity of St Andrews.School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews.Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews.Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews.Sea Mammal Research Uniten
dc.contributor.institutionUniversity of St Andrews.Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews.Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews.Centre for Social Learning & Cognitive Evolutionen
dc.contributor.institutionUniversity of St Andrews.Bioacoustics groupen
dc.identifier.doihttps://doi.org/10.1186/s40462-015-0061-6
dc.description.statusPeer revieweden


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