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: Trueman, C, Jackson, A, Chadwick, K, Coombs, Ellen J, Feyrer, L, Magozzi, S, Sabin, R, Cooper, N
Format: Article in Journal/Newspaper
Language:unknown
Published: PeerJ Inc. 2019
Subjects:
Online Access:http://hdl.handle.net/10141/622583
https://doi.org/10.7717/peerj.7912
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spelling ftnhmlondon:oai:nhm.openrepository.com:10141/622583 2023-07-30T04:02:31+02:00 Combining simulation modeling and stable isotope analyses to reconstruct the last known movements of one of Nature’s giants Trueman, C Jackson, A Chadwick, K Coombs, Ellen J Feyrer, L Magozzi, S Sabin, R Cooper, N 2019-10-28T15:01:47Z http://hdl.handle.net/10141/622583 https://doi.org/10.7717/peerj.7912 unknown PeerJ Inc. https://peerj.com/articles/7912/ Trueman CN, Jackson AL, Chadwick KS, Coombs EJ, Feyrer LJ, Magozzi S, Sabin RC, Cooper N. 2019. Combining simulation modeling and stable isotope analyses to reconstruct the last known movements of one of Nature’s giants. PeerJ 7:e7912 https://doi.org/10.7717/peerj.7912 2167-8359 doi:10.7717/peerj.7912 http://hdl.handle.net/10141/622583 PeerJ 7 e7912 - e7912 openAccess https://creativecommons.org/licenses/by/4.0/ Carbon stable isotopes Movement models Movement Models Sclerochronology Blue whale Journal Article 2019 ftnhmlondon https://doi.org/10.7717/peerj.7912 2023-07-11T05:39:13Z 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. © 2019 Trueman et al. This is an open access article distributed under ... Article in Journal/Newspaper Balaenoptera musculus Blue whale Natural History Museum Repository PeerJ 7 e7912
institution Open Polar
collection Natural History Museum Repository
op_collection_id ftnhmlondon
language unknown
topic Carbon stable isotopes
Movement models
Movement
Models
Sclerochronology
Blue whale
spellingShingle Carbon stable isotopes
Movement models
Movement
Models
Sclerochronology
Blue whale
Trueman, C
Jackson, A
Chadwick, K
Coombs, Ellen J
Feyrer, L
Magozzi, S
Sabin, R
Cooper, N
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
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. © 2019 Trueman et al. This is an open access article distributed under ...
format Article in Journal/Newspaper
author Trueman, C
Jackson, A
Chadwick, K
Coombs, Ellen J
Feyrer, L
Magozzi, S
Sabin, R
Cooper, N
author_facet Trueman, C
Jackson, A
Chadwick, K
Coombs, Ellen J
Feyrer, L
Magozzi, S
Sabin, R
Cooper, N
author_sort Trueman, C
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 http://hdl.handle.net/10141/622583
https://doi.org/10.7717/peerj.7912
genre Balaenoptera musculus
Blue whale
genre_facet Balaenoptera musculus
Blue whale
op_relation https://peerj.com/articles/7912/
Trueman CN, Jackson AL, Chadwick KS, Coombs EJ, Feyrer LJ, Magozzi S, Sabin RC, Cooper N. 2019. Combining simulation modeling and stable isotope analyses to reconstruct the last known movements of one of Nature’s giants. PeerJ 7:e7912 https://doi.org/10.7717/peerj.7912
2167-8359
doi:10.7717/peerj.7912
http://hdl.handle.net/10141/622583
PeerJ
7
e7912 - e7912
op_rights openAccess
https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.7717/peerj.7912
container_title PeerJ
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