A path reconstruction method integrating dead-reckoning and position fixes applied to humpback whales
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...
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ftdatacite:10.6084/m9.figshare.c.3630404 2023-05-15T16:36:11+02:00 A path reconstruction method integrating dead-reckoning and position fixes applied to humpback whales Wensveen, Paul Thomas, Len Miller, Patrick 2015 https://dx.doi.org/10.6084/m9.figshare.c.3630404 https://figshare.com/collections/A_path_reconstruction_method_integrating_dead-reckoning_and_position_fixes_applied_to_humpback_whales/3630404 unknown Figshare https://dx.doi.org/10.1186/s40462-015-0061-6 CC BY 4.0 https://creativecommons.org/licenses/by/4.0 CC-BY Space Science Neuroscience 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Ecology FOS Biological sciences 69999 Biological Sciences not elsewhere classified Inorganic Chemistry FOS Chemical sciences Collection article 2015 ftdatacite https://doi.org/10.6084/m9.figshare.c.3630404 https://doi.org/10.1186/s40462-015-0061-6 2021-11-05T12:55:41Z 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. Article in Journal/Newspaper Humpback Whale DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Space Science Neuroscience 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Ecology FOS Biological sciences 69999 Biological Sciences not elsewhere classified Inorganic Chemistry FOS Chemical sciences |
spellingShingle |
Space Science Neuroscience 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Ecology FOS Biological sciences 69999 Biological Sciences not elsewhere classified Inorganic Chemistry FOS Chemical sciences Wensveen, Paul Thomas, Len Miller, Patrick A path reconstruction method integrating dead-reckoning and position fixes applied to humpback whales |
topic_facet |
Space Science Neuroscience 59999 Environmental Sciences not elsewhere classified FOS Earth and related environmental sciences Ecology FOS Biological sciences 69999 Biological Sciences not elsewhere classified Inorganic Chemistry FOS Chemical sciences |
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. |
format |
Article in Journal/Newspaper |
author |
Wensveen, Paul Thomas, Len Miller, Patrick |
author_facet |
Wensveen, Paul Thomas, Len Miller, Patrick |
author_sort |
Wensveen, Paul |
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 |
publisher |
Figshare |
publishDate |
2015 |
url |
https://dx.doi.org/10.6084/m9.figshare.c.3630404 https://figshare.com/collections/A_path_reconstruction_method_integrating_dead-reckoning_and_position_fixes_applied_to_humpback_whales/3630404 |
genre |
Humpback Whale |
genre_facet |
Humpback Whale |
op_relation |
https://dx.doi.org/10.1186/s40462-015-0061-6 |
op_rights |
CC BY 4.0 https://creativecommons.org/licenses/by/4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.c.3630404 https://doi.org/10.1186/s40462-015-0061-6 |
_version_ |
1766026500865261568 |