Sperm whale response to tag boat presence : biologically informed hidden state models quantify lost feeding opportunities
The authors acknowledge the UK Ministry of Defence, U.S. Office of Naval Research, and World Wildlife Fund (Norway) for funding this research. Animal-attached sensors provide invaluable data to describe behavior of cryptic species, such as cetaceans, and are increasingly used to assess anthropogenic...
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Online Access: | https://hdl.handle.net/10023/6112 https://doi.org/10.1890/ES14-00130.1 |
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ftstandrewserep:oai:research-repository.st-andrews.ac.uk:10023/6112 2024-04-28T08:32:31+00:00 Sperm whale response to tag boat presence : biologically informed hidden state models quantify lost feeding opportunities Isojunno, S. Miller, P.J.O. University of St Andrews. School of Biology University of St Andrews. Marine Alliance for Science & Technology Scotland 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 University of St Andrews. Sea Mammal Research Unit University of St Andrews. Centre for Research into Ecological & Environmental Modelling 2015-02-16T17:01:09Z 12562678 application/pdf https://hdl.handle.net/10023/6112 https://doi.org/10.1890/ES14-00130.1 eng eng Ecosphere 168675833 bb33f00c-e39a-4f14-9bf4-1ac8764d7122 84922032807 000350440400006 Isojunno , S & Miller , P J O 2015 , ' Sperm whale response to tag boat presence : biologically informed hidden state models quantify lost feeding opportunities ' , Ecosphere , vol. 6 , no. 1 . https://doi.org/10.1890/ES14-00130.1 2150-8925 ORCID: /0000-0002-2212-2135/work/37031847 https://hdl.handle.net/10023/6112 doi:10.1890/ES14-00130.1 Bayesian DTAG Functional state Northern Norway Physeter microcephalus Research effects State-dependent likelihood State-switching model Suction-cup tag attachment Time-series model QH301 Biology QL Zoology DAS QH301 QL Journal article 2015 ftstandrewserep https://doi.org/10.1890/ES14-00130.1 2024-04-03T14:07:22Z The authors acknowledge the UK Ministry of Defence, U.S. Office of Naval Research, and World Wildlife Fund (Norway) for funding this research. Animal-attached sensors provide invaluable data to describe behavior of cryptic species, such as cetaceans, and are increasingly used to assess anthropogenic disturbance effects. Tag deployment and handling may itself alter the behavior of study animals and there is a need to assess if and when behavior recovers to an undisturbed level. Not all behavioral changes have fitness consequences, and our goal is to derive metrics that can be linked to fitness implications, such as time and energy allocation to different functional behaviors. Here we detail an approach that incorporates biological knowledge and multiple streams of tag-recorded data in a hidden state-switching model to estimate time series of functional behavioral st ates for 12 sperm whales off Norway. Foraging, recovery and resting states were specified in the hidden state model by state-dependent likelihood structures. Comparison of hidden state models revealed a parsimonious set of input time series, and supported the inclusion of a less informed 'silent active' state. There was a high agreement between state estimates and expert classifications. We then used the estimated states in time series models to test three hypotheses for behavioral change during suction-cup tag deployment procedures: change in behavioral states, change in prey capture attempts and locomotion cost, given behavioral state. Sperm whales spent 34% less time at the sea surface and 60% more time in non-foraging silent active state in the presence of the tag boat (''tagging period'' 0.1-2.8 h) than during post-tagging baseline period (1.8-20.8 h). No comparable pre-tagging baseline data were available. Nevertheless, time-decaying models of tagging effects were not retained in model selection, indicating a short-term effect that ceased immediately after the tagging period. We did not find changes in energetic proxies, given behavioral ... Article in Journal/Newspaper Northern Norway Sperm whale University of St Andrews: Digital Research Repository Ecosphere 6 1 art6 |
institution |
Open Polar |
collection |
University of St Andrews: Digital Research Repository |
op_collection_id |
ftstandrewserep |
language |
English |
topic |
Bayesian DTAG Functional state Northern Norway Physeter microcephalus Research effects State-dependent likelihood State-switching model Suction-cup tag attachment Time-series model QH301 Biology QL Zoology DAS QH301 QL |
spellingShingle |
Bayesian DTAG Functional state Northern Norway Physeter microcephalus Research effects State-dependent likelihood State-switching model Suction-cup tag attachment Time-series model QH301 Biology QL Zoology DAS QH301 QL Isojunno, S. Miller, P.J.O. Sperm whale response to tag boat presence : biologically informed hidden state models quantify lost feeding opportunities |
topic_facet |
Bayesian DTAG Functional state Northern Norway Physeter microcephalus Research effects State-dependent likelihood State-switching model Suction-cup tag attachment Time-series model QH301 Biology QL Zoology DAS QH301 QL |
description |
The authors acknowledge the UK Ministry of Defence, U.S. Office of Naval Research, and World Wildlife Fund (Norway) for funding this research. Animal-attached sensors provide invaluable data to describe behavior of cryptic species, such as cetaceans, and are increasingly used to assess anthropogenic disturbance effects. Tag deployment and handling may itself alter the behavior of study animals and there is a need to assess if and when behavior recovers to an undisturbed level. Not all behavioral changes have fitness consequences, and our goal is to derive metrics that can be linked to fitness implications, such as time and energy allocation to different functional behaviors. Here we detail an approach that incorporates biological knowledge and multiple streams of tag-recorded data in a hidden state-switching model to estimate time series of functional behavioral st ates for 12 sperm whales off Norway. Foraging, recovery and resting states were specified in the hidden state model by state-dependent likelihood structures. Comparison of hidden state models revealed a parsimonious set of input time series, and supported the inclusion of a less informed 'silent active' state. There was a high agreement between state estimates and expert classifications. We then used the estimated states in time series models to test three hypotheses for behavioral change during suction-cup tag deployment procedures: change in behavioral states, change in prey capture attempts and locomotion cost, given behavioral state. Sperm whales spent 34% less time at the sea surface and 60% more time in non-foraging silent active state in the presence of the tag boat (''tagging period'' 0.1-2.8 h) than during post-tagging baseline period (1.8-20.8 h). No comparable pre-tagging baseline data were available. Nevertheless, time-decaying models of tagging effects were not retained in model selection, indicating a short-term effect that ceased immediately after the tagging period. We did not find changes in energetic proxies, given behavioral ... |
author2 |
University of St Andrews. School of Biology University of St Andrews. Marine Alliance for Science & Technology Scotland 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 University of St Andrews. Sea Mammal Research Unit University of St Andrews. Centre for Research into Ecological & Environmental Modelling |
format |
Article in Journal/Newspaper |
author |
Isojunno, S. Miller, P.J.O. |
author_facet |
Isojunno, S. Miller, P.J.O. |
author_sort |
Isojunno, S. |
title |
Sperm whale response to tag boat presence : biologically informed hidden state models quantify lost feeding opportunities |
title_short |
Sperm whale response to tag boat presence : biologically informed hidden state models quantify lost feeding opportunities |
title_full |
Sperm whale response to tag boat presence : biologically informed hidden state models quantify lost feeding opportunities |
title_fullStr |
Sperm whale response to tag boat presence : biologically informed hidden state models quantify lost feeding opportunities |
title_full_unstemmed |
Sperm whale response to tag boat presence : biologically informed hidden state models quantify lost feeding opportunities |
title_sort |
sperm whale response to tag boat presence : biologically informed hidden state models quantify lost feeding opportunities |
publishDate |
2015 |
url |
https://hdl.handle.net/10023/6112 https://doi.org/10.1890/ES14-00130.1 |
genre |
Northern Norway Sperm whale |
genre_facet |
Northern Norway Sperm whale |
op_relation |
Ecosphere 168675833 bb33f00c-e39a-4f14-9bf4-1ac8764d7122 84922032807 000350440400006 Isojunno , S & Miller , P J O 2015 , ' Sperm whale response to tag boat presence : biologically informed hidden state models quantify lost feeding opportunities ' , Ecosphere , vol. 6 , no. 1 . https://doi.org/10.1890/ES14-00130.1 2150-8925 ORCID: /0000-0002-2212-2135/work/37031847 https://hdl.handle.net/10023/6112 doi:10.1890/ES14-00130.1 |
op_doi |
https://doi.org/10.1890/ES14-00130.1 |
container_title |
Ecosphere |
container_volume |
6 |
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1 |
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art6 |
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1797589673560768512 |