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A path reconstruction method integrating dead-reckoning and position fixes applied to humpback whales
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dc.contributor.author | Wensveen, Paul J. | |
dc.contributor.author | Thomas, Len | |
dc.contributor.author | Miller, Patrick J O | |
dc.date.accessioned | 2017-11-01T16:30:15Z | |
dc.date.available | 2017-11-01T16:30:15Z | |
dc.date.issued | 2015-09-21 | |
dc.identifier.citation | Wensveen , 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/s40462-015-0061-6 | en |
dc.identifier.issn | 2051-3933 | |
dc.identifier.other | PURE: 245839294 | |
dc.identifier.other | PURE UUID: 9b1c4eea-98b2-4183-a474-da776189df07 | |
dc.identifier.other | PubMed: 26392865 | |
dc.identifier.other | PubMedCentral: PMC4576411 | |
dc.identifier.other | Scopus: 84982874822 | |
dc.identifier.other | ORCID: /0000-0002-7436-067X/work/29591675 | |
dc.identifier.other | WOS: 000215741800031 | |
dc.identifier.uri | https://hdl.handle.net/10023/11976 | |
dc.description | PW 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.abstract | BACKGROUND: 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.extent | 16 | |
dc.language.iso | eng | |
dc.relation.ispartof | Movement Ecology | en |
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.subject | Megaptera novaeangliae | en |
dc.subject | Marine mammal | en |
dc.subject | Positioning | en |
dc.subject | Fine-scale movement | en |
dc.subject | State-space model | en |
dc.subject | Bio-logging | en |
dc.subject | Track reconstruction | en |
dc.subject | Archival tag | en |
dc.subject | Focal follow | en |
dc.subject | QH301 Biology | en |
dc.subject | DAS | en |
dc.subject | SDG 14 - Life Below Water | en |
dc.subject.lcc | QH301 | en |
dc.title | A path reconstruction method integrating dead-reckoning and position fixes applied to humpback whales | en |
dc.type | Journal article | en |
dc.contributor.sponsor | Office of Naval Research | en |
dc.description.version | Publisher PDF | en |
dc.contributor.institution | University of St Andrews. School of Biology | en |
dc.contributor.institution | University of St Andrews. Statistics | en |
dc.contributor.institution | University of St Andrews. School of Mathematics and Statistics | en |
dc.contributor.institution | University of St Andrews. Marine Alliance for Science & Technology Scotland | en |
dc.contributor.institution | University of St Andrews. Centre for Research into Ecological & Environmental Modelling | en |
dc.contributor.institution | University of St Andrews. Sea Mammal Research Unit | en |
dc.contributor.institution | University of St Andrews. Scottish Oceans Institute | en |
dc.contributor.institution | University of St Andrews. Institute of Behavioural and Neural Sciences | en |
dc.contributor.institution | University of St Andrews. Centre for Social Learning & Cognitive Evolution | en |
dc.contributor.institution | University of St Andrews. Bioacoustics group | en |
dc.identifier.doi | https://doi.org/10.1186/s40462-015-0061-6 | |
dc.description.status | Peer reviewed | en |
dc.identifier.grantnumber | N00014-12-1-0204 | en |
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