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Estimating energetics in cetaceans from respiratory frequency: why we need to understand physiology

The accurate estimation of field metabolic rates (FMR) in wild animals is a key component of bioenergetic models, and is important for understanding the routine limitations for survival as well as individual responses to disturbances or environmental changes. Several methods have been used to estima...

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Autores principales: Fahlman, A., van der Hoop, J., Moore, M. J., Levine, G., Rocho-Levine, J., Brodsky, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Company of Biologists Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4890674/
https://www.ncbi.nlm.nih.gov/pubmed/26988759
http://dx.doi.org/10.1242/bio.017251
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author Fahlman, A.
van der Hoop, J.
Moore, M. J.
Levine, G.
Rocho-Levine, J.
Brodsky, M.
author_facet Fahlman, A.
van der Hoop, J.
Moore, M. J.
Levine, G.
Rocho-Levine, J.
Brodsky, M.
author_sort Fahlman, A.
collection PubMed
description The accurate estimation of field metabolic rates (FMR) in wild animals is a key component of bioenergetic models, and is important for understanding the routine limitations for survival as well as individual responses to disturbances or environmental changes. Several methods have been used to estimate FMR, including accelerometer-derived activity budgets, isotope dilution techniques, and proxies from heart rate. Counting the number of breaths is another method used to assess FMR in cetaceans, which is attractive in its simplicity and the ability to measure respiration frequency from visual cues or data loggers. This method hinges on the assumption that over time a constant tidal volume (VT) and O(2) exchange fraction (ΔO(2)) can be used to predict FMR. To test whether this method of estimating FMR is valid, we measured breath-by-breath tidal volumes and expired O(2) levels of bottlenose dolphins, and computed the O(2) consumption rate (V̇(O(2))) before and after a pre-determined duration of exercise. The measured V̇(O(2)) was compared with three methods to estimate FMR. Each method to estimate V̇(O(2)) included variable VT and/or ΔO(2). Two assumption-based methods overestimated V̇(O(2)) by 216-501%. Once the temporal changes in cardio-respiratory physiology, such as variation in VT and ΔO(2), were taken into account, pre-exercise resting V̇(O(2)) was predicted to within 2%, and post-exercise V̇(O(2)) was overestimated by 12%. Our data show that a better understanding of cardiorespiratory physiology significantly improves the ability to estimate metabolic rate from respiratory frequency, and further emphasizes the importance of eco-physiology for conservation management efforts.
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spelling pubmed-48906742016-06-03 Estimating energetics in cetaceans from respiratory frequency: why we need to understand physiology Fahlman, A. van der Hoop, J. Moore, M. J. Levine, G. Rocho-Levine, J. Brodsky, M. Biol Open Research Article The accurate estimation of field metabolic rates (FMR) in wild animals is a key component of bioenergetic models, and is important for understanding the routine limitations for survival as well as individual responses to disturbances or environmental changes. Several methods have been used to estimate FMR, including accelerometer-derived activity budgets, isotope dilution techniques, and proxies from heart rate. Counting the number of breaths is another method used to assess FMR in cetaceans, which is attractive in its simplicity and the ability to measure respiration frequency from visual cues or data loggers. This method hinges on the assumption that over time a constant tidal volume (VT) and O(2) exchange fraction (ΔO(2)) can be used to predict FMR. To test whether this method of estimating FMR is valid, we measured breath-by-breath tidal volumes and expired O(2) levels of bottlenose dolphins, and computed the O(2) consumption rate (V̇(O(2))) before and after a pre-determined duration of exercise. The measured V̇(O(2)) was compared with three methods to estimate FMR. Each method to estimate V̇(O(2)) included variable VT and/or ΔO(2). Two assumption-based methods overestimated V̇(O(2)) by 216-501%. Once the temporal changes in cardio-respiratory physiology, such as variation in VT and ΔO(2), were taken into account, pre-exercise resting V̇(O(2)) was predicted to within 2%, and post-exercise V̇(O(2)) was overestimated by 12%. Our data show that a better understanding of cardiorespiratory physiology significantly improves the ability to estimate metabolic rate from respiratory frequency, and further emphasizes the importance of eco-physiology for conservation management efforts. The Company of Biologists Ltd 2016-03-17 /pmc/articles/PMC4890674/ /pubmed/26988759 http://dx.doi.org/10.1242/bio.017251 Text en © 2016. Published by The Company of Biologists Ltd http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Research Article
Fahlman, A.
van der Hoop, J.
Moore, M. J.
Levine, G.
Rocho-Levine, J.
Brodsky, M.
Estimating energetics in cetaceans from respiratory frequency: why we need to understand physiology
title Estimating energetics in cetaceans from respiratory frequency: why we need to understand physiology
title_full Estimating energetics in cetaceans from respiratory frequency: why we need to understand physiology
title_fullStr Estimating energetics in cetaceans from respiratory frequency: why we need to understand physiology
title_full_unstemmed Estimating energetics in cetaceans from respiratory frequency: why we need to understand physiology
title_short Estimating energetics in cetaceans from respiratory frequency: why we need to understand physiology
title_sort estimating energetics in cetaceans from respiratory frequency: why we need to understand physiology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4890674/
https://www.ncbi.nlm.nih.gov/pubmed/26988759
http://dx.doi.org/10.1242/bio.017251
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