A body composition model with multiple storage compartments for polar bears ( Ursus maritimus )
Abstract Climate warming is rapidly altering Arctic ecosystems. Polar bears (Ursus maritimus) need sea ice as a platform from which to hunt seals, but increased sea-ice loss is lengthening periods when bears are without access to primary hunting habitat. During periods of food scarcity, survival dep...
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2023
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Online Access: | http://dx.doi.org/10.1093/conphys/coad043 https://academic.oup.com/conphys/article-pdf/11/1/coad043/50653790/coad043.pdf |
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croxfordunivpr:10.1093/conphys/coad043 2024-03-17T08:56:34+00:00 A body composition model with multiple storage compartments for polar bears ( Ursus maritimus ) Penk, Stephanie R Sadana, Pranav Archer, Louise C Pagano, Anthony M Cattet, Marc R L Lunn, Nicholas J Thiemann, Gregory W Molnár, Péter K Cooke, Steven 2023 http://dx.doi.org/10.1093/conphys/coad043 https://academic.oup.com/conphys/article-pdf/11/1/coad043/50653790/coad043.pdf en eng Oxford University Press (OUP) https://creativecommons.org/licenses/by/4.0/ Conservation Physiology volume 11, issue 1 ISSN 2051-1434 Management, Monitoring, Policy and Law Nature and Landscape Conservation Ecological Modeling Physiology journal-article 2023 croxfordunivpr https://doi.org/10.1093/conphys/coad043 2024-02-20T00:09:43Z Abstract Climate warming is rapidly altering Arctic ecosystems. Polar bears (Ursus maritimus) need sea ice as a platform from which to hunt seals, but increased sea-ice loss is lengthening periods when bears are without access to primary hunting habitat. During periods of food scarcity, survival depends on the energy that a bear has stored in body reserves, termed storage energy, making this a key metric in predictive models assessing climate change impacts on polar bears. Here, we developed a body composition model for polar bears that estimates storage energy while accounting for changes in storage tissue composition. We used data of dissected polar bears (n = 31) to link routinely collected field measures of total body mass and straight-line body length to the body composition of individual bears, described in terms of structural mass and two storage compartments, adipose and muscle. We then estimated the masses of metabolizable proteins and lipids within these storage compartments, giving total storage energy. We tested this multi-storage model by using it to predict changes in the lipid stores from an independent dataset of wild polar bears (n = 36) that were recaptured 8–200 days later. Using length and mass measurements, our model successfully predicted direct measurements of lipid changes via isotopic dilutions (root mean squared error of 14.5 kg). Separating storage into two compartments, and allowing the molecular composition of storage to vary, provides new avenues for quantifying energy stores of individuals across their life cycle. The multi-storage body composition model thus provides a basis for further exploring energetic costs of physiological processes that contribute to individual survival and reproductive success. Given bioenergetic models are increasingly used as a tool to predict individual fitness and population dynamics, our approach for estimating individual energy stores could be applicable to a wide range of species. Article in Journal/Newspaper Arctic Climate change Sea ice Ursus maritimus Oxford University Press Arctic Conservation Physiology 11 1 |
institution |
Open Polar |
collection |
Oxford University Press |
op_collection_id |
croxfordunivpr |
language |
English |
topic |
Management, Monitoring, Policy and Law Nature and Landscape Conservation Ecological Modeling Physiology |
spellingShingle |
Management, Monitoring, Policy and Law Nature and Landscape Conservation Ecological Modeling Physiology Penk, Stephanie R Sadana, Pranav Archer, Louise C Pagano, Anthony M Cattet, Marc R L Lunn, Nicholas J Thiemann, Gregory W Molnár, Péter K A body composition model with multiple storage compartments for polar bears ( Ursus maritimus ) |
topic_facet |
Management, Monitoring, Policy and Law Nature and Landscape Conservation Ecological Modeling Physiology |
description |
Abstract Climate warming is rapidly altering Arctic ecosystems. Polar bears (Ursus maritimus) need sea ice as a platform from which to hunt seals, but increased sea-ice loss is lengthening periods when bears are without access to primary hunting habitat. During periods of food scarcity, survival depends on the energy that a bear has stored in body reserves, termed storage energy, making this a key metric in predictive models assessing climate change impacts on polar bears. Here, we developed a body composition model for polar bears that estimates storage energy while accounting for changes in storage tissue composition. We used data of dissected polar bears (n = 31) to link routinely collected field measures of total body mass and straight-line body length to the body composition of individual bears, described in terms of structural mass and two storage compartments, adipose and muscle. We then estimated the masses of metabolizable proteins and lipids within these storage compartments, giving total storage energy. We tested this multi-storage model by using it to predict changes in the lipid stores from an independent dataset of wild polar bears (n = 36) that were recaptured 8–200 days later. Using length and mass measurements, our model successfully predicted direct measurements of lipid changes via isotopic dilutions (root mean squared error of 14.5 kg). Separating storage into two compartments, and allowing the molecular composition of storage to vary, provides new avenues for quantifying energy stores of individuals across their life cycle. The multi-storage body composition model thus provides a basis for further exploring energetic costs of physiological processes that contribute to individual survival and reproductive success. Given bioenergetic models are increasingly used as a tool to predict individual fitness and population dynamics, our approach for estimating individual energy stores could be applicable to a wide range of species. |
author2 |
Cooke, Steven |
format |
Article in Journal/Newspaper |
author |
Penk, Stephanie R Sadana, Pranav Archer, Louise C Pagano, Anthony M Cattet, Marc R L Lunn, Nicholas J Thiemann, Gregory W Molnár, Péter K |
author_facet |
Penk, Stephanie R Sadana, Pranav Archer, Louise C Pagano, Anthony M Cattet, Marc R L Lunn, Nicholas J Thiemann, Gregory W Molnár, Péter K |
author_sort |
Penk, Stephanie R |
title |
A body composition model with multiple storage compartments for polar bears ( Ursus maritimus ) |
title_short |
A body composition model with multiple storage compartments for polar bears ( Ursus maritimus ) |
title_full |
A body composition model with multiple storage compartments for polar bears ( Ursus maritimus ) |
title_fullStr |
A body composition model with multiple storage compartments for polar bears ( Ursus maritimus ) |
title_full_unstemmed |
A body composition model with multiple storage compartments for polar bears ( Ursus maritimus ) |
title_sort |
body composition model with multiple storage compartments for polar bears ( ursus maritimus ) |
publisher |
Oxford University Press (OUP) |
publishDate |
2023 |
url |
http://dx.doi.org/10.1093/conphys/coad043 https://academic.oup.com/conphys/article-pdf/11/1/coad043/50653790/coad043.pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change Sea ice Ursus maritimus |
genre_facet |
Arctic Climate change Sea ice Ursus maritimus |
op_source |
Conservation Physiology volume 11, issue 1 ISSN 2051-1434 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1093/conphys/coad043 |
container_title |
Conservation Physiology |
container_volume |
11 |
container_issue |
1 |
_version_ |
1793765328116776960 |