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Moving towards acceleration for estimates of activity‐specific metabolic rate in free‐living animals: the case of the cormorant
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Summary: Time and energy are key currencies in animal ecology, and judicious management of these is a primary focus for natural selection. At present, however, there are only two main methods for estimation of rate of energy expenditure in the field, heart rate and doubly labelled water, both of which have been used with success; but both also have their limitations. The deployment of data loggers that measure acceleration is emerging as a powerful tool for quantifying the behaviour of free‐living animals. Given that animal movement requires the use of energy, the accelerometry technique potentially has application in the quantification of rate of energy expenditure during activity. In the present study, we test the hypothesis that acceleration can serve as a proxy for rate of energy expenditure in free‐living animals. We measured rate of energy expenditure as rates of O 2 consumption () and CO 2 production () in great cormorants (Phalacrocorax carbo) at rest and during pedestrian exercise. and were then related to overall dynamic body acceleration (ODBA) measured with an externally attached three‐axis accelerometer. Both and were significantly positively associated with ODBA in great cormorants. This suggests that accelerometric measurements of ODBA can be used to estimate and and, with some additional assumptions regarding metabolic substrate use and the energy equivalence of O 2 and CO 2, that ODBA can be used to estimate the activity specific rate of energy expenditure of free‐living cormorants. To verify that the approach identifies expected trends in from situations with variable power requirements, we measured ODBA in free‐living imperial cormorants (Phalacrocorax atriceps) during foraging trips. We compared ODBA during return and outward foraging flights, when birds are expected to be laden and not laden with captured fish, respectively. We also examined changes in ODBA during the descent phase of diving, when power requirements are predicted to decrease with depth due to changes in buoyancy associated with compression of plumage and respiratory air. In free‐living imperial cormorants, ODBA, and hence estimated , was higher during the return flight of a foraging bout, and decreased with depth during the descent phase of a dive, supporting the use of accelerometry for the determination of activity‐specific rate of energy expenditure.
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“Prior to deployment, we spherically rotated all loggers to pass through all combinations of pitch and roll to record reference values to calibrate accelerometer data to account for inherent sensor variability (i.e., due to manufacturing) [64].”
From Seasonal activity levels of a farm-island population of striated caracaras (Phalcoboenus australis) in the Falkland Islands (2020) · cites this paper as [64]
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Font, L. C., Shuter, B. J., & Blanchfield, P. J. (2016) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/cjfas-2015-0323 · Cited by 25
Trouble on takeoff: Crude oil on feathers reduces escape performance of shorebirds
Maggini, I., Kennedy, L. V., Elliott, K. H., Dean, K. M., MacCurdy, R. B., Macmillan, A., Pritsos, C. A., & Guglielmo, C. G. (2017) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2017.03.026 · Cited by 25
Acoustic accelerometer transmitters and their growing relevance to aquatic science
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Coastal marine and in-river migration behaviour of adult sockeye salmon en route to spawning grounds
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Isbell, L. A., Bidner, L. R., Crofoot, M. C., Matsumoto–Oda, A., & Farine, D. R. (2017) · American Journal of Physical Anthropology · doi:10.1002/ajpa.23259 · Cited by 25
Evidence of age-related improvement in the foraging efficiency of Adélie penguins
Lescroël, A., Ballard, G., Massaro, M., Dugger, K. M., Jennings, S. S., Pollard, A., Porzig, E. L., Schmidt, A. E., Varsani, A., Grémillet, D., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-39814-x · Cited by 25
The intensity of horizontal and vertical search in a diving forager: the harbour seal
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Metadata
- Authors
- WILSON, R. P., WHITE, C. R., QUINTANA, F., HALSEY, L. G., LIEBSCH, N., MARTIN, G. R., & BUTLER, P. J.
- Affiliations
- Swansea University (GB)
- University of Birmingham (GB)
- Wildlife Conservation Society (US)
- Corresponding author
- WILSON, RORY P.
- ORCID
- Venue
- Journal of Animal Ecology
- Publisher
- Wiley
- Published
- 2006-06-29
- Volume
- 75
- Issue
- 5
- Pages
- 1081-1090
- ISSN
- 0021-8790 (ISSN-L)
- 1365-2656
- OpenAlex
- W1513626006
- Cited by
- 797
- References
- 73
- Citations by year
- 2026: 33 · 2025: 48 · 2024: 53 · 2023: 47 · 2022: 100 · 2021: 61 · 2020: 48 · 2019: 50 · 2018: 39 · 2017: 49 · 2016: 47 · 2015: 47 · 2014: 41 · 2013: 21 · 2012: 27
- FWCI
- 11.90
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Animal Ecology (publishedVersion)
- PubMed (publishedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- CONICET Digital (CONICET) (submittedVersion, cc-by-nc-sa)
- Funders
- Wildlife Conservation Society
- Natural Environment Research Council (NER/A/S/2003/00542)
- Topics
- Physical Sciences › Environmental Science › Ecology › Physiological and biochemical adaptations
- Physical Sciences › Environmental Science › Ecology › Avian ecology and behavior
- Physical Sciences › Environmental Science › Ecology › Wildlife Ecology and Conservation
- Keywords
- energy expenditure, accelerometry, overall dynamic body acceleration, Phalacrocorax carbo, Imperial Cormorant, oxygen consumption, CO2 emissions, foraging flight, buoyancy, wild birds, data logger
- MeSH terms
- Acceleration, Animals, Birds, Carbon Dioxide, Electronics, Energy Metabolism, Female, Male, Models, Biological, Movement, Oxygen Consumption
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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