Dynamic soaring decouples dynamic body acceleration and energetics in albatrosses

Estimates of movement costs are essential for understanding energetic and life-history trade-offs. Although overall dynamic body acceleration (ODBA) derived from accelerometer data is widely used as a proxy for energy expenditure (EE) in free-ranging animals, its utility has not been tested in species that predominately use body rotations or exploit environmental energy for movement. We tested a suite of sensor-derived movement metrics as proxies for EE in two species of albatrosses, which routinely use dynamic soaring to extract energy from the wind to reduce movement costs. Birds were fitted with a combined heart-rate, accelerometer, magnetometer and GPS logger, and relationships between movement metrics and heart rate-derived V̇O2, an indirect measure of EE, were analyzed during different flight and activity modes. When birds were exclusively soaring, a metric derived from angular velocity on the yaw axis provided a useful proxy of EE. Thus, body rotations involved in dynamic soaring have clear energetic costs, albeit considerably lower than those of the muscle contractions required for flapping flight. We found that ODBA was not a useful proxy for EE in albatrosses when birds were exclusively soaring. As albatrosses spend much of their foraging trips soaring, ODBA alone was a poor predictor of EE in albatrosses. Despite the lower percentage of time flapping, the number of flaps was a useful metric when comparing EE across foraging trips. Our findings highlight that alternative metrics, beyond ODBA, may be required to estimate energy expenditure from inertial sensors in animals whose movements involve extensive body rotations.

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Publication Details

Journal
Journal of Experimental Biology
Published
2024-09-09
DOI
https://doi.org/10.1242/jeb.247431
Citations
5
Primary Topic
Bat Biology and Ecology Studies
Type
article
Field-Weighted Citation Impact
5.15

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article

Dynamic soaring decouples dynamic body acceleration and energetics in albatrosses

Petar M. Djurić, Rachael A. Orben, Jonathan A. Green, Eleanor I. Heywood et al.
5 citations
Journal of Experimental Biology
Bat Biology and Ecology Studies
5.15
article

Dynamic soaring decouples dynamic body acceleration and energetics in albatrosses

Petar M. Djurić, Rachael A. Orben, Jonathan A. Green, Eleanor I. Heywood, Lesley H. Thorne, Melinda G. Conners, Alexei L. Vyssotski, Richard A. Phillips, Chen Cui
article en
5 citations

Abstract

Estimates of movement costs are essential for understanding energetic and life-history trade-offs. Although overall dynamic body acceleration (ODBA) derived from accelerometer data is widely used as a proxy for energy expenditure (EE) in free-ranging animals, its utility has not been tested in species that predominately use body rotations or exploit environmental energy for movement. We tested a suite of sensor-derived movement metrics as proxies for EE in two species of albatrosses, which routinely use dynamic soaring to extract energy from the wind to reduce movement costs. Birds were fitted with a combined heart-rate, accelerometer, magnetometer and GPS logger, and relationships between movement metrics and heart rate-derived V̇O2, an indirect measure of EE, were analyzed during different flight and activity modes. When birds were exclusively soaring, a metric derived from angular velocity on the yaw axis provided a useful proxy of EE. Thus, body rotations involved in dynamic soaring have clear energetic costs, albeit considerably lower than those of the muscle contractions required for flapping flight. We found that ODBA was not a useful proxy for EE in albatrosses when birds were exclusively soaring. As albatrosses spend much of their foraging trips soaring, ODBA alone was a poor predictor of EE in albatrosses. Despite the lower percentage of time flapping, the number of flaps was a useful metric when comparing EE across foraging trips. Our findings highlight that alternative metrics, beyond ODBA, may be required to estimate energy expenditure from inertial sensors in animals whose movements involve extensive body rotations.

Journal of Experimental BiologyVol. 227(18)
SIB Swiss Institute of Bioinformatics (CH), Oregon Department of Fish and Wildlife (US), Oregon State University (US), British Antarctic Survey (GB), Natural Environment Research Council (GB), University of Liverpool (GB), University of Zurich (CH), ETH Zurich (CH), Western EcoSystems Technology (United States) (US), Stony Brook University (US)
National Science Foundation, Sight Research UK, Natural Environment Research Council, British Antarctic Survey
Openalex Percentile: Top 5%
Bat Biology and Ecology Studies
5.15
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