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A model to estimate seabird field metabolic rates

For free-ranging animals, field metabolic rate (FMR) is the sum of their energy expenditure over a specified period. This quantity is a key component of ecological processes at every biological level. We applied a phylogenetically informed meta-analytical approach to identify the large-scale determi...

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Detalles Bibliográficos
Autores principales: Dunn, Ruth E., White, Craig R., Green, Jonathan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030596/
https://www.ncbi.nlm.nih.gov/pubmed/29875209
http://dx.doi.org/10.1098/rsbl.2018.0190
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author Dunn, Ruth E.
White, Craig R.
Green, Jonathan A.
author_facet Dunn, Ruth E.
White, Craig R.
Green, Jonathan A.
author_sort Dunn, Ruth E.
collection PubMed
description For free-ranging animals, field metabolic rate (FMR) is the sum of their energy expenditure over a specified period. This quantity is a key component of ecological processes at every biological level. We applied a phylogenetically informed meta-analytical approach to identify the large-scale determinants of FMR in seabirds during the breeding season. Using data from 64 studies of energetics in 47 species, we created a model to estimate FMR for any seabird population. We found that FMR was positively influenced by body mass and colony latitude and that it increased throughout the breeding season from incubation to brood to crèche. FMR was not impacted by colony-relative predation pressure or species average brood size. Based on this model, we present an app through which users can generate estimates of FMR for any population of breeding seabird. We encourage the use of this app to complement behavioural studies and increase understanding of how energetic demands influence the role of seabirds as driving components of marine systems.
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spelling pubmed-60305962018-07-09 A model to estimate seabird field metabolic rates Dunn, Ruth E. White, Craig R. Green, Jonathan A. Biol Lett Physiology For free-ranging animals, field metabolic rate (FMR) is the sum of their energy expenditure over a specified period. This quantity is a key component of ecological processes at every biological level. We applied a phylogenetically informed meta-analytical approach to identify the large-scale determinants of FMR in seabirds during the breeding season. Using data from 64 studies of energetics in 47 species, we created a model to estimate FMR for any seabird population. We found that FMR was positively influenced by body mass and colony latitude and that it increased throughout the breeding season from incubation to brood to crèche. FMR was not impacted by colony-relative predation pressure or species average brood size. Based on this model, we present an app through which users can generate estimates of FMR for any population of breeding seabird. We encourage the use of this app to complement behavioural studies and increase understanding of how energetic demands influence the role of seabirds as driving components of marine systems. The Royal Society 2018-06 2018-06-06 /pmc/articles/PMC6030596/ /pubmed/29875209 http://dx.doi.org/10.1098/rsbl.2018.0190 Text en © 2018 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Physiology
Dunn, Ruth E.
White, Craig R.
Green, Jonathan A.
A model to estimate seabird field metabolic rates
title A model to estimate seabird field metabolic rates
title_full A model to estimate seabird field metabolic rates
title_fullStr A model to estimate seabird field metabolic rates
title_full_unstemmed A model to estimate seabird field metabolic rates
title_short A model to estimate seabird field metabolic rates
title_sort model to estimate seabird field metabolic rates
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030596/
https://www.ncbi.nlm.nih.gov/pubmed/29875209
http://dx.doi.org/10.1098/rsbl.2018.0190
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