Combining simulation modeling and stable isotope analyses to reconstruct the last known movements of one of Nature’s giants

The spatial ecology of rare, migratory oceanic animals is difficult to study directly. Where incremental tissues are available, their chemical composition can provide valuable indirect observations of movement and diet. Interpreting the chemical record in incremental tissues can be highly uncertain,...

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Published in:PeerJ
Main Authors: Clive N. Trueman, Andrew L. Jackson, Katharyn S. Chadwick, Ellen J. Coombs, Laura J. Feyrer, Sarah Magozzi, Richard C. Sabin, Natalie Cooper
Format: Article in Journal/Newspaper
Language:English
Published: PeerJ Inc. 2019
Subjects:
R
Online Access:https://doi.org/10.7717/peerj.7912
https://doaj.org/article/a651f77e94a54f2ab3185b89bb464a4a
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spelling ftdoajarticles:oai:doaj.org/article:a651f77e94a54f2ab3185b89bb464a4a 2024-01-07T09:42:20+01:00 Combining simulation modeling and stable isotope analyses to reconstruct the last known movements of one of Nature’s giants Clive N. Trueman Andrew L. Jackson Katharyn S. Chadwick Ellen J. Coombs Laura J. Feyrer Sarah Magozzi Richard C. Sabin Natalie Cooper 2019-10-01T00:00:00Z https://doi.org/10.7717/peerj.7912 https://doaj.org/article/a651f77e94a54f2ab3185b89bb464a4a EN eng PeerJ Inc. https://peerj.com/articles/7912.pdf https://peerj.com/articles/7912/ https://doaj.org/toc/2167-8359 doi:10.7717/peerj.7912 2167-8359 https://doaj.org/article/a651f77e94a54f2ab3185b89bb464a4a PeerJ, Vol 7, p e7912 (2019) Carbon stable isotopes Movement models Movement Models Sclerochronology Blue whale Medicine R Biology (General) QH301-705.5 article 2019 ftdoajarticles https://doi.org/10.7717/peerj.7912 2023-12-10T01:50:28Z The spatial ecology of rare, migratory oceanic animals is difficult to study directly. Where incremental tissues are available, their chemical composition can provide valuable indirect observations of movement and diet. Interpreting the chemical record in incremental tissues can be highly uncertain, however, as multiple mechanisms interact to produce the observed data. Simulation modeling is one approach for considering alternative hypotheses in ecology and can be used to consider the relative likelihood of obtaining an observed record under different combinations of ecological and environmental processes. Here we show how a simulation modeling approach can help to infer movement behaviour based on stable carbon isotope profiles measured in incremental baleen tissues of a blue whale (Balaenoptera musculus). The life history of this particular specimen, which stranded in 1891 in the UK, was selected as a case study due to its cultural significance as part of a permanent display at the Natural History Museum, London. We specifically tested whether measured variations in stable isotope compositions across the analysed baleen plate were more consistent with residency or latitudinal migrations. The measured isotopic record was most closely reproduced with a period of residency in sub-tropical waters for at least a full year followed by three repeated annual migrations between sub-tropical and high latitude regions. The latitudinal migration cycle was interrupted in the year prior to stranding, potentially implying pregnancy and weaning, but isotopic data alone cannot test this hypothesis. Simulation methods can help reveal movement information coded in the biochemical compositions of incremental tissues such as those archived in historic collections, and provides context and inferences that are useful for retrospective studies of animal movement, especially where other sources of individual movement data are sparse or challenging to validate. Article in Journal/Newspaper Balaenoptera musculus Blue whale Directory of Open Access Journals: DOAJ Articles PeerJ 7 e7912
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Carbon stable isotopes
Movement models
Movement
Models
Sclerochronology
Blue whale
Medicine
R
Biology (General)
QH301-705.5
spellingShingle Carbon stable isotopes
Movement models
Movement
Models
Sclerochronology
Blue whale
Medicine
R
Biology (General)
QH301-705.5
Clive N. Trueman
Andrew L. Jackson
Katharyn S. Chadwick
Ellen J. Coombs
Laura J. Feyrer
Sarah Magozzi
Richard C. Sabin
Natalie Cooper
Combining simulation modeling and stable isotope analyses to reconstruct the last known movements of one of Nature’s giants
topic_facet Carbon stable isotopes
Movement models
Movement
Models
Sclerochronology
Blue whale
Medicine
R
Biology (General)
QH301-705.5
description The spatial ecology of rare, migratory oceanic animals is difficult to study directly. Where incremental tissues are available, their chemical composition can provide valuable indirect observations of movement and diet. Interpreting the chemical record in incremental tissues can be highly uncertain, however, as multiple mechanisms interact to produce the observed data. Simulation modeling is one approach for considering alternative hypotheses in ecology and can be used to consider the relative likelihood of obtaining an observed record under different combinations of ecological and environmental processes. Here we show how a simulation modeling approach can help to infer movement behaviour based on stable carbon isotope profiles measured in incremental baleen tissues of a blue whale (Balaenoptera musculus). The life history of this particular specimen, which stranded in 1891 in the UK, was selected as a case study due to its cultural significance as part of a permanent display at the Natural History Museum, London. We specifically tested whether measured variations in stable isotope compositions across the analysed baleen plate were more consistent with residency or latitudinal migrations. The measured isotopic record was most closely reproduced with a period of residency in sub-tropical waters for at least a full year followed by three repeated annual migrations between sub-tropical and high latitude regions. The latitudinal migration cycle was interrupted in the year prior to stranding, potentially implying pregnancy and weaning, but isotopic data alone cannot test this hypothesis. Simulation methods can help reveal movement information coded in the biochemical compositions of incremental tissues such as those archived in historic collections, and provides context and inferences that are useful for retrospective studies of animal movement, especially where other sources of individual movement data are sparse or challenging to validate.
format Article in Journal/Newspaper
author Clive N. Trueman
Andrew L. Jackson
Katharyn S. Chadwick
Ellen J. Coombs
Laura J. Feyrer
Sarah Magozzi
Richard C. Sabin
Natalie Cooper
author_facet Clive N. Trueman
Andrew L. Jackson
Katharyn S. Chadwick
Ellen J. Coombs
Laura J. Feyrer
Sarah Magozzi
Richard C. Sabin
Natalie Cooper
author_sort Clive N. Trueman
title Combining simulation modeling and stable isotope analyses to reconstruct the last known movements of one of Nature’s giants
title_short Combining simulation modeling and stable isotope analyses to reconstruct the last known movements of one of Nature’s giants
title_full Combining simulation modeling and stable isotope analyses to reconstruct the last known movements of one of Nature’s giants
title_fullStr Combining simulation modeling and stable isotope analyses to reconstruct the last known movements of one of Nature’s giants
title_full_unstemmed Combining simulation modeling and stable isotope analyses to reconstruct the last known movements of one of Nature’s giants
title_sort combining simulation modeling and stable isotope analyses to reconstruct the last known movements of one of nature’s giants
publisher PeerJ Inc.
publishDate 2019
url https://doi.org/10.7717/peerj.7912
https://doaj.org/article/a651f77e94a54f2ab3185b89bb464a4a
genre Balaenoptera musculus
Blue whale
genre_facet Balaenoptera musculus
Blue whale
op_source PeerJ, Vol 7, p e7912 (2019)
op_relation https://peerj.com/articles/7912.pdf
https://peerj.com/articles/7912/
https://doaj.org/toc/2167-8359
doi:10.7717/peerj.7912
2167-8359
https://doaj.org/article/a651f77e94a54f2ab3185b89bb464a4a
op_doi https://doi.org/10.7717/peerj.7912
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