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Acceleration predicts energy expenditure in a fat, flightless, diving bird

Energy drives behaviour and life history decisions, yet it can be hard to measure at fine scales in free-moving animals. Accelerometry has proven a powerful tool to estimate energy expenditure, but requires calibration in the wild. This can be difficult in some environments, or for particular behavi...

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Autores principales: Hicks, Olivia, Kato, Akiko, Angelier, Frederic, Wisniewska, Danuta M., Hambly, Catherine, Speakman, John R., Marciau, Coline, Ropert-Coudert, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726140/
https://www.ncbi.nlm.nih.gov/pubmed/33299039
http://dx.doi.org/10.1038/s41598-020-78025-7
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author Hicks, Olivia
Kato, Akiko
Angelier, Frederic
Wisniewska, Danuta M.
Hambly, Catherine
Speakman, John R.
Marciau, Coline
Ropert-Coudert, Yan
author_facet Hicks, Olivia
Kato, Akiko
Angelier, Frederic
Wisniewska, Danuta M.
Hambly, Catherine
Speakman, John R.
Marciau, Coline
Ropert-Coudert, Yan
author_sort Hicks, Olivia
collection PubMed
description Energy drives behaviour and life history decisions, yet it can be hard to measure at fine scales in free-moving animals. Accelerometry has proven a powerful tool to estimate energy expenditure, but requires calibration in the wild. This can be difficult in some environments, or for particular behaviours, and validations have produced equivocal results in some species, particularly air-breathing divers. It is, therefore, important to calibrate accelerometry across different behaviours to understand the most parsimonious way to estimate energy expenditure in free-living conditions. Here, we combine data from miniaturised acceleration loggers on 58 free-living Adélie penguins with doubly labelled water (DLW) measurements of their energy expenditure over several days. Across different behaviours, both in water and on land, dynamic body acceleration was a good predictor of independently measured DLW-derived energy expenditure (R(2) = 0.72). The most parsimonious model suggested different calibration coefficients are required to predict behaviours on land versus foraging behaviour in water (R(2) = 0.75). Our results show that accelerometry can be used to reliably estimate energy expenditure in penguins, and we provide calibration equations for estimating metabolic rate across several behaviours in the wild.
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spelling pubmed-77261402020-12-14 Acceleration predicts energy expenditure in a fat, flightless, diving bird Hicks, Olivia Kato, Akiko Angelier, Frederic Wisniewska, Danuta M. Hambly, Catherine Speakman, John R. Marciau, Coline Ropert-Coudert, Yan Sci Rep Article Energy drives behaviour and life history decisions, yet it can be hard to measure at fine scales in free-moving animals. Accelerometry has proven a powerful tool to estimate energy expenditure, but requires calibration in the wild. This can be difficult in some environments, or for particular behaviours, and validations have produced equivocal results in some species, particularly air-breathing divers. It is, therefore, important to calibrate accelerometry across different behaviours to understand the most parsimonious way to estimate energy expenditure in free-living conditions. Here, we combine data from miniaturised acceleration loggers on 58 free-living Adélie penguins with doubly labelled water (DLW) measurements of their energy expenditure over several days. Across different behaviours, both in water and on land, dynamic body acceleration was a good predictor of independently measured DLW-derived energy expenditure (R(2) = 0.72). The most parsimonious model suggested different calibration coefficients are required to predict behaviours on land versus foraging behaviour in water (R(2) = 0.75). Our results show that accelerometry can be used to reliably estimate energy expenditure in penguins, and we provide calibration equations for estimating metabolic rate across several behaviours in the wild. Nature Publishing Group UK 2020-12-09 /pmc/articles/PMC7726140/ /pubmed/33299039 http://dx.doi.org/10.1038/s41598-020-78025-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Hicks, Olivia
Kato, Akiko
Angelier, Frederic
Wisniewska, Danuta M.
Hambly, Catherine
Speakman, John R.
Marciau, Coline
Ropert-Coudert, Yan
Acceleration predicts energy expenditure in a fat, flightless, diving bird
title Acceleration predicts energy expenditure in a fat, flightless, diving bird
title_full Acceleration predicts energy expenditure in a fat, flightless, diving bird
title_fullStr Acceleration predicts energy expenditure in a fat, flightless, diving bird
title_full_unstemmed Acceleration predicts energy expenditure in a fat, flightless, diving bird
title_short Acceleration predicts energy expenditure in a fat, flightless, diving bird
title_sort acceleration predicts energy expenditure in a fat, flightless, diving bird
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726140/
https://www.ncbi.nlm.nih.gov/pubmed/33299039
http://dx.doi.org/10.1038/s41598-020-78025-7
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