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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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Detalles Bibliográficos
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
Descripción
Sumario: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.