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

Abstract 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 particul...

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Autores principales:	Olivia Hicks, Akiko Kato, Frederic Angelier, Danuta M. Wisniewska, Catherine Hambly, John R. Speakman, Coline Marciau, Yan Ropert-Coudert
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/56c0ad99814a445388ddb0f080e7d379
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spelling	oai:doaj.org-article:56c0ad99814a445388ddb0f080e7d3792021-12-02T12:33:06ZAcceleration predicts energy expenditure in a fat, flightless, diving bird10.1038/s41598-020-78025-72045-2322https://doaj.org/article/56c0ad99814a445388ddb0f080e7d3792020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-78025-7https://doaj.org/toc/2045-2322Abstract 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 (R2 = 0.72). The most parsimonious model suggested different calibration coefficients are required to predict behaviours on land versus foraging behaviour in water (R2 = 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.Olivia HicksAkiko KatoFrederic AngelierDanuta M. WisniewskaCatherine HamblyJohn R. SpeakmanColine MarciauYan Ropert-CoudertNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Olivia Hicks Akiko Kato Frederic Angelier Danuta M. Wisniewska Catherine Hambly John R. Speakman Coline Marciau Yan Ropert-Coudert Acceleration predicts energy expenditure in a fat, flightless, diving bird
description	Abstract 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 (R2 = 0.72). The most parsimonious model suggested different calibration coefficients are required to predict behaviours on land versus foraging behaviour in water (R2 = 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.
format	article
author	Olivia Hicks Akiko Kato Frederic Angelier Danuta M. Wisniewska Catherine Hambly John R. Speakman Coline Marciau Yan Ropert-Coudert
author_facet	Olivia Hicks Akiko Kato Frederic Angelier Danuta M. Wisniewska Catherine Hambly John R. Speakman Coline Marciau Yan Ropert-Coudert
author_sort	Olivia Hicks
title	Acceleration predicts energy expenditure in a fat, flightless, diving bird
title_short	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_sort	acceleration predicts energy expenditure in a fat, flightless, diving bird
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/56c0ad99814a445388ddb0f080e7d379
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_version_	1718393859186098176

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

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