A path reconstruction method integrating dead-reckoning and position fixes applied to humpback whales
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 T...
Published in: | Movement Ecology |
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Other Authors: | , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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2017
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Online Access: | http://hdl.handle.net/10023/11976 https://doi.org/10.1186/s40462-015-0061-6 |
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ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/11976 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
University of St Andrews: Digital Research Repository |
op_collection_id |
ftstandrewserep |
language |
English |
topic |
Megaptera novaeangliae Marine mammal Positioning Fine-scale movement State-space model Bio-logging Track reconstruction Archival tag Focal follow QH301 Biology DAS SDG 14 - Life Below Water QH301 |
spellingShingle |
Megaptera novaeangliae Marine mammal Positioning Fine-scale movement State-space model Bio-logging Track reconstruction Archival tag Focal follow QH301 Biology DAS SDG 14 - Life Below Water QH301 Wensveen, Paul J. Thomas, Len Miller, Patrick J O A path reconstruction method integrating dead-reckoning and position fixes applied to humpback whales |
topic_facet |
Megaptera novaeangliae Marine mammal Positioning Fine-scale movement State-space model Bio-logging Track reconstruction Archival tag Focal follow QH301 Biology DAS SDG 14 - Life Below Water QH301 |
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). 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 ... |
author2 |
Office of Naval Research University of St Andrews. School of Biology University of St Andrews. Statistics University of St Andrews. School of Mathematics and Statistics University of St Andrews. Marine Alliance for Science & Technology Scotland University of St Andrews. Centre for Research into Ecological & Environmental Modelling University of St Andrews. Sea Mammal Research Unit University of St Andrews. Scottish Oceans Institute University of St Andrews. Institute of Behavioural and Neural Sciences University of St Andrews. Centre for Social Learning & Cognitive Evolution University of St Andrews. Bioacoustics group |
format |
Article in Journal/Newspaper |
author |
Wensveen, Paul J. Thomas, Len Miller, Patrick J O |
author_facet |
Wensveen, Paul J. Thomas, Len Miller, Patrick J O |
author_sort |
Wensveen, Paul J. |
title |
A path reconstruction method integrating dead-reckoning and position fixes applied to humpback whales |
title_short |
A path reconstruction method integrating dead-reckoning and position fixes applied to humpback whales |
title_full |
A path reconstruction method integrating dead-reckoning and position fixes applied to humpback whales |
title_fullStr |
A path reconstruction method integrating dead-reckoning and position fixes applied to humpback whales |
title_full_unstemmed |
A path reconstruction method integrating dead-reckoning and position fixes applied to humpback whales |
title_sort |
path reconstruction method integrating dead-reckoning and position fixes applied to humpback whales |
publishDate |
2017 |
url |
http://hdl.handle.net/10023/11976 https://doi.org/10.1186/s40462-015-0061-6 |
genre |
Humpback Whale Megaptera novaeangliae |
genre_facet |
Humpback Whale Megaptera novaeangliae |
op_relation |
Movement Ecology 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 2051-3933 PURE: 245839294 PURE UUID: 9b1c4eea-98b2-4183-a474-da776189df07 PubMed: 26392865 PubMedCentral: PMC4576411 Scopus: 84982874822 ORCID: /0000-0002-7436-067X/work/29591675 WOS: 000215741800031 http://hdl.handle.net/10023/11976 https://doi.org/10.1186/s40462-015-0061-6 N00014-12-1-0204 |
op_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. |
op_doi |
https://doi.org/10.1186/s40462-015-0061-6 |
container_title |
Movement Ecology |
container_volume |
3 |
container_issue |
1 |
_version_ |
1770272133498273792 |
spelling |
ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/11976 2023-07-02T03:32:32+02:00 A path reconstruction method integrating dead-reckoning and position fixes applied to humpback whales Wensveen, Paul J. Thomas, Len Miller, Patrick J O Office of Naval Research University of St Andrews. School of Biology University of St Andrews. Statistics University of St Andrews. School of Mathematics and Statistics University of St Andrews. Marine Alliance for Science & Technology Scotland University of St Andrews. Centre for Research into Ecological & Environmental Modelling University of St Andrews. Sea Mammal Research Unit University of St Andrews. Scottish Oceans Institute University of St Andrews. Institute of Behavioural and Neural Sciences University of St Andrews. Centre for Social Learning & Cognitive Evolution University of St Andrews. Bioacoustics group 2017-11-01T16:30:15Z 16 application/pdf http://hdl.handle.net/10023/11976 https://doi.org/10.1186/s40462-015-0061-6 eng eng Movement Ecology 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 2051-3933 PURE: 245839294 PURE UUID: 9b1c4eea-98b2-4183-a474-da776189df07 PubMed: 26392865 PubMedCentral: PMC4576411 Scopus: 84982874822 ORCID: /0000-0002-7436-067X/work/29591675 WOS: 000215741800031 http://hdl.handle.net/10023/11976 https://doi.org/10.1186/s40462-015-0061-6 N00014-12-1-0204 © 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. Megaptera novaeangliae Marine mammal Positioning Fine-scale movement State-space model Bio-logging Track reconstruction Archival tag Focal follow QH301 Biology DAS SDG 14 - Life Below Water QH301 Journal article 2017 ftstandrewserep https://doi.org/10.1186/s40462-015-0061-6 2023-06-13T18:28:35Z 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). 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 ... Article in Journal/Newspaper Humpback Whale Megaptera novaeangliae University of St Andrews: Digital Research Repository Movement Ecology 3 1 |