The DOI matches its Crossref record; 71 of the 73 references it cites were found in a registry or an index.
Moving towards acceleration for estimates of activity‐specific metabolic rate in free‐living animals: the case of the cormorant
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
TOWARD A METABOLIC THEORY OF ECOLOGY
Brown, J. H., Gillooly, J. F., Allen, A. P., Savage, V. M., & West, G. B. (2004) · Ecology · doi:10.1890/03-9000 · Cited by 7,779
Metabolic Rate and Body Temperature Reduction During Hibernation and Daily Torpor
Geiser, F. (2004) · Annual Review of Physiology · doi:10.1146/annurev.physiol.66.032102.115105 · Cited by 1,153
Principles of Animal Locomotion
Alexander, R. M. (2002) · doi:10.1515/9781400849512 · Cited by 1,151
Kullback-Leibler information as a basis for strong inference in ecological studies
Burnham, K. P., & Anderson, D. R. (2001) · Wildlife Research · doi:10.1071/wr99107 · Cited by 916
State-dependent life histories
McNamara, J. M., & Houston, A. I. (1996) · Nature · doi:10.1038/380215a0 · Cited by 860
Elastic mechanisms in animal movement
Evans, E. J. (1989) · Choice Reviews Online · doi:10.5860/choice.26-5074 · Cited by 593
Trends and perspectives in animal‐attached remote sensing
Ropert-Coudert, Y., & Wilson, R. (2005) · Frontiers in Ecology and the Environment · doi:10.1890/1540-9295(2005)003[0437:tapiar]2.0.co;2 · Cited by 560
Self-citationKumahara, H., Schütz, Y., Ayabe, M., Yoshioka, M., YOSHITAKE, Y., Shindo, M., Ishii, K., & Tanaka, H. (2004) · British Journal Of Nutrition · doi:10.1079/bjn20031033 · Cited by 533
Butler, P. J., Green, J. A., Boyd, I. L., & Speakman, J. R. (2004) · Functional Ecology · doi:10.1111/j.0269-8463.2004.00821.x · Cited by 503
Self-citationAllometric cascade as a unifying principle of body mass effects on metabolism
Darveau, C.-A., Suarez, R. K., Andrews, R. D., & Hochachka, P. W. (2002) · Nature · doi:10.1038/417166a · Cited by 482
Research works printed but not linked: 2
- Chaui‐Berlinck J.G., 1995, Unusual metabolic shifts in fasting hummingbirds, Auk, 112, 774
- McNab B.K., 2002, Physiological Ecology of Vertebrates.
Cited by
Sorted by citations
Observing the unwatchable through acceleration logging of animal behavior
Brown, D. D., Kays, R., Wikelski, M. C., Wilson, R. P., & Klimley, A. P. (2013) · Animal Biotelemetry · doi:10.1186/2050-3385-1-20 · Cited by 659
Self-citationIdentification of animal movement patterns using tri-axial accelerometry
Shepard, E. L. C., Wilson, R., Quintana, F., Laich, A. G., Liebsch, N., Albareda, D., Halsey, L. G., Gleiss, A. C., Morgan, D., Myers, A., et al. (2008) · Endangered Species Research · doi:10.3354/esr00084 · Cited by 535
Self-citationNathan, R., Spiegel, O., Fortmann‐Roe, S., Harel, R., Wikelski, M. C., & Getz, W. M. (2012) · Journal of Experimental Biology · doi:10.1242/jeb.058602 · Cited by 522
Gleiss, A. C., Wilson, R. P., & Shepard, E. L. C. (2010) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2010.00057.x · Cited by 476
Self-citationPrying into the intimate details of animal lives: use of a daily diary on animals
Wilson, R. P., Shepard, E. L. C., & Liebsch, N. (2007) · Endangered Species Research · doi:10.3354/esr00064 · Cited by 473
Self-citation
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
