Using quantile regression and relative entropy to assess the period of anomalous behavior of marine mammals following tagging
Tagging of animals induces a variable stress response which following release will obscure natural behavior. It is of scientific relevance to establish methods that assess recovery from such behavioral perturbation and generalize well to a broad range of animals, while maintaining model transparency...
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ftpubmed:oai:pubmedcentral.nih.gov:10085821 2023-06-06T11:52:09+02:00 Using quantile regression and relative entropy to assess the period of anomalous behavior of marine mammals following tagging Nielsen, Lars Reiter Tervo, Outi M. Blackwell, Susanna B. Heide‐Jørgensen, Mads Peter Ditlevsen, Susanne 2023-04-10 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085821/ https://doi.org/10.1002/ece3.9967 en eng John Wiley and Sons Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085821/ http://dx.doi.org/10.1002/ece3.9967 © 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Ecol Evol Research Articles Text 2023 ftpubmed https://doi.org/10.1002/ece3.9967 2023-04-16T00:52:02Z Tagging of animals induces a variable stress response which following release will obscure natural behavior. It is of scientific relevance to establish methods that assess recovery from such behavioral perturbation and generalize well to a broad range of animals, while maintaining model transparency. We propose two methods that allow for subdivision of animals based on covariates, and illustrate their use on [Formula: see text] narwhals (Monodon monoceros) and [Formula: see text] bowhead whales (Balaena mysticetus), captured and instrumented with Acousonde™ behavioral tags, but with a framework that easily generalizes to other marine animals and sampling units. The narwhals were divided into two groups based on handling time, short ([Formula: see text] min) and long ([Formula: see text] min), to measure the effect on recovery. Proxies for energy expenditure (VeDBA) and rapid movement (jerk) were derived from accelerometer data. Diving profiles were characterized using two metrics (target depth and dive duration) derived from depth data. For accelerometer data, recovery was estimated using quantile regression (QR) on the log‐transformed response, whereas depth data were addressed using relative entropy (RE) between hourly distributions of dive duration (partitioned into three target depth ranges) and the long‐term average distribution. Quantile regression was used to address location‐based behavior to accommodate distributional shifts anticipated in aquatic locomotion. For all narwhals, we found fast recovery in the tail of the distribution (<3 h) compared with a variable recovery at the median (∼1–10 h) and with a significant difference between groups separated by handling time. Estimates of bowhead whale recovery times showed fast median recovery (<3 h) and slow recovery at the tail (>6 h), but were affected by substantial uncertainty. For the diving profiles, as characterized by the component pair (target depth, dive duration), the recovery was slower (narwhals‐long: [Formula: see text] h; ... Text Balaena mysticetus bowhead whale Monodon monoceros narwhal* PubMed Central (PMC) Ecology and Evolution 13 4 |
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Research Articles |
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Research Articles Nielsen, Lars Reiter Tervo, Outi M. Blackwell, Susanna B. Heide‐Jørgensen, Mads Peter Ditlevsen, Susanne Using quantile regression and relative entropy to assess the period of anomalous behavior of marine mammals following tagging |
topic_facet |
Research Articles |
description |
Tagging of animals induces a variable stress response which following release will obscure natural behavior. It is of scientific relevance to establish methods that assess recovery from such behavioral perturbation and generalize well to a broad range of animals, while maintaining model transparency. We propose two methods that allow for subdivision of animals based on covariates, and illustrate their use on [Formula: see text] narwhals (Monodon monoceros) and [Formula: see text] bowhead whales (Balaena mysticetus), captured and instrumented with Acousonde™ behavioral tags, but with a framework that easily generalizes to other marine animals and sampling units. The narwhals were divided into two groups based on handling time, short ([Formula: see text] min) and long ([Formula: see text] min), to measure the effect on recovery. Proxies for energy expenditure (VeDBA) and rapid movement (jerk) were derived from accelerometer data. Diving profiles were characterized using two metrics (target depth and dive duration) derived from depth data. For accelerometer data, recovery was estimated using quantile regression (QR) on the log‐transformed response, whereas depth data were addressed using relative entropy (RE) between hourly distributions of dive duration (partitioned into three target depth ranges) and the long‐term average distribution. Quantile regression was used to address location‐based behavior to accommodate distributional shifts anticipated in aquatic locomotion. For all narwhals, we found fast recovery in the tail of the distribution (<3 h) compared with a variable recovery at the median (∼1–10 h) and with a significant difference between groups separated by handling time. Estimates of bowhead whale recovery times showed fast median recovery (<3 h) and slow recovery at the tail (>6 h), but were affected by substantial uncertainty. For the diving profiles, as characterized by the component pair (target depth, dive duration), the recovery was slower (narwhals‐long: [Formula: see text] h; ... |
format |
Text |
author |
Nielsen, Lars Reiter Tervo, Outi M. Blackwell, Susanna B. Heide‐Jørgensen, Mads Peter Ditlevsen, Susanne |
author_facet |
Nielsen, Lars Reiter Tervo, Outi M. Blackwell, Susanna B. Heide‐Jørgensen, Mads Peter Ditlevsen, Susanne |
author_sort |
Nielsen, Lars Reiter |
title |
Using quantile regression and relative entropy to assess the period of anomalous behavior of marine mammals following tagging |
title_short |
Using quantile regression and relative entropy to assess the period of anomalous behavior of marine mammals following tagging |
title_full |
Using quantile regression and relative entropy to assess the period of anomalous behavior of marine mammals following tagging |
title_fullStr |
Using quantile regression and relative entropy to assess the period of anomalous behavior of marine mammals following tagging |
title_full_unstemmed |
Using quantile regression and relative entropy to assess the period of anomalous behavior of marine mammals following tagging |
title_sort |
using quantile regression and relative entropy to assess the period of anomalous behavior of marine mammals following tagging |
publisher |
John Wiley and Sons Inc. |
publishDate |
2023 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085821/ https://doi.org/10.1002/ece3.9967 |
genre |
Balaena mysticetus bowhead whale Monodon monoceros narwhal* |
genre_facet |
Balaena mysticetus bowhead whale Monodon monoceros narwhal* |
op_source |
Ecol Evol |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10085821/ http://dx.doi.org/10.1002/ece3.9967 |
op_rights |
© 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
op_doi |
https://doi.org/10.1002/ece3.9967 |
container_title |
Ecology and Evolution |
container_volume |
13 |
container_issue |
4 |
_version_ |
1767957994701586432 |