Cited by 797Physiological and biochemical adaptationsAvian ecology and behaviorWildlife Ecology and Conservation

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 access

WILSON, RORY P., WHITE, CRAIG R., QUINTANA, FLAVIO, HALSEY, LEWIS G., LIEBSCH, NIKOLAI, MARTIN, GRAHAM R., BUTLER, PATRICK J.·2006·Journal of Animal Ecology

DOI 10.1111/j.1365-2656.2006.01127.x

Open this paper in CoChat — free account Open PDF

Abstract

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.

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

Crossref · 10.1111/j.1365-2656.2006.01127.x

Cites

71 of 71 references verified0 citation errors · 0 not checkable

Statistics

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

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-citation
The use of uniaxial accelerometry for the assessment of physical-activity-related energy expenditure: a validation study against whole-body indirect calorimetry
Kumahara, 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
Measuring metabolic rate in the field: the pros and cons of the doubly labelled water and heart rate methods
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-citation
Allometric 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

Show all 73 references

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.

Sorted by citations

Items 501–600 of 797

Transiting to depth disrupts overall dynamic body acceleration and oxygen consumption rate in freely diving Steller sea lions
Volpov, B. L., Goundie, E. T., Rosen, D., Arnould, J., & Trites, A. W. (2016) · Marine Ecology Progress Series · doi:10.3354/meps11943 · Cited by 6
Predation Risk Reverses the Potential Effects of Warming on Plant-Herbivore Interactions by Altering the Relative Strengths of Trait- and Density-Mediated Interactions
Lemoine, N. P. (2017) · The American Naturalist · doi:10.1086/692605 · Cited by 6
Fine-scale foraging behaviour of southern Buller’s albatross, the only Thalassarche that provisions chicks through winter
Poupart, T., Waugh, S. M., Miskelly, C., Kato, A., Angel, L. P., Rogers, K. M., & Arnould, J. (2019) · Marine Ecology Progress Series · doi:10.3354/meps13042 · Cited by 6
Towards Visual Exploration of Large Temporal Datasets
Ali, M., Jones, M. W., Xie, X., & Williams, M. K. (2018) · Big Data Visual and Immersive Analytics · doi:10.1109/bdva.2018.8534025 · Cited by 6
Sweat the small stuff: A review of the use of accelerometers to estimate energy expenditure in wild animals
Elliott, K. H. (2025) · Journal of Animal Ecology · doi:10.1111/1365-2656.70162 · Cited by 5
Energetic costs of rest and locomotion in dolphins
Williams, T. M., & Davis, R. W. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-90516-9.00001-4 · Cited by 5
Bimodal vertical distribution of right whales Eubalaena glacialis in the Gulf of St. Lawrence
Wright, A., Gabaldon, J., Zhang, D., & Hamilton, P. K. (2024) · Endangered Species Research · doi:10.3354/esr01330 · Cited by 5
Automated and repeated aerial observations of GPS ‐collared animals using UAVs and open‐source electronics
Kavwele, C. M., Hopcraft, J. G. C., Davy, D., & Torney, C. J. (2024) · Ecosphere · doi:10.1002/ecs2.4841 · Cited by 5
Unlocking the mysteries of biosonar use and foraging behaviour in wild bats with on-board acoustic recording tags
Stidsholt, L. (2025) · Journal of Experimental Biology · doi:10.1242/jeb.250777 · Cited by 5
Customizable Recorder of Animal Kinesis (CRoAK): A multi-axis instrumented enclosure for measuring animal movements
Gupta, S., Marchetto, P. M., & Bee, M. A. (2020) · HardwareX · doi:10.1016/j.ohx.2020.e00116 · Cited by 5
The dynamics of spawning acts by a semelparous fish and its associated energetic costs
Tentelier, C., Bouchard, C., Bernardin, A., Tauzin, A., Aymes, J., Lange, F., Récapet, C., & Rives, J. (2021) · Peer Community Journal · doi:10.24072/pcjournal.56 · Cited by 5
Flight
Bishop, C. M., & Guglielmo, C. G. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819770-7.00012-8 · Cited by 6
Accelerometer-based analyses of animal sleep patterns
Watanabe, Y. Y., & Rutz, C. (2022) · eLife · doi:10.7554/elife.77349 · Cited by 5
Sexual segregation in the foraging distribution, behaviour, and trophic niche of the endemic Boyd’s shearwater (Puffinus lherminieri boydi)
dos Santos, I., Ramos, J. A., Ceia, F. R., Rodrigues, I., Almeida, N., Antunes, S., Carreiro, A. R., Matos, D. M., Lopes, R. J., Geraldes, P. L., et al. (2022) · Marine Biology · doi:10.1007/s00227-022-04127-7 · Cited by 5
Accelerometry reveals limits to use of an energy‐saving anthropogenic food source by a threatened species: A case of Carnaby's cockatoos (Zanda latirostris) and canola
Riley, K. J., Warren, K. S., Armstrong, N. J., Yeap, L., Dawson, R., Mawson, P. R., Saunders, D. A., Cooper, C. E., & Shephard, J. M. (2023) · Ecology and Evolution · doi:10.1002/ece3.10598 · Cited by 5
Flight activity and effort of breeding pied flycatchers in the wild, revealed with accelerometers and machine learning
Yu, H., Liang, S., Muijres, F. T., Lindert, J. S. T., de Knegt, H. J., Hedenström, A., Lamers, K. P., & Henningsson, P. (2024) · Journal of Experimental Biology · doi:10.1242/jeb.247606 · Cited by 5
Thermal conditions alter the mating behaviour of males in a polygynous system
Levine, R. L., Kroger, B., & Monteith, K. L. (2024) · Functional Ecology · doi:10.1111/1365-2435.14664 · Cited by 5
Migrating shorebird killed by raptor at 3000 m above ground as revealed by high‐resolution tracking
Boom, M. P., Yu, H., Bom, R. A., Hegemann, A., Lindström, Å., Nolet, B. A., & Lameris, T. K. (2024) · Ecology · doi:10.1002/ecy.4437 · Cited by 5
Innovative use of depth data to estimate energy intake and expenditure in Adélie penguins
Dupuis, B., Kato, A., Hicks, O., Wiśniewska, D. M., Marciau, C., Angelier, F., Ropert‐Coudert, Y., & Chimienti, M. (2024) · Journal of Experimental Biology · doi:10.1242/jeb.249201 · Cited by 5
Matrix factorization approach to behavioral mode analysis from acceleration data
Resheff, Y. S., Rotics, S., Nathan, R., & Weinshall, D. (2015) · IEEE International Conference on Data Science and Advanced Analytics (DSAA) · doi:10.1109/dsaa.2015.7344781 · Cited by 5
Dive behaviour can predict metabolic expenditure in Steller sea lions
Goundie, E. T., Rosen, D. A. S., & Trites, A. W. (2015) · Conservation Physiology · doi:10.1093/conphys/cov052 · Cited by 5
Fat King Penguins Are Less Steady on Their Feet
Willener, A. S. T., Handrich, Y., Halsey, L. G., & Strike, S. C. (2016) · PLoS ONE · doi:10.1371/journal.pone.0147784 · Cited by 5
Self-citation
Use Of A Tri-axial Accelerometer, Behavioral Observation, And GPS To Monitor The Activity Of Female Asian Elephants In A Zoo
Soulsby, K. S. (2013) · UTA ResearchCommons (University of Texas Arlington) · Cited by 5
“Next-Gen” Tracking in Primatology
Crofoot, M. C. (2021) · Cambridge University Press eBooks · doi:10.1017/9781107449824.004 · Cited by 5
What has biotelemetry ever done for avian translocations?
Lee, S. C. R., Hodgson, D. J., & Bearhop, S. (2022) · Movement Ecology · doi:10.1186/s40462-022-00359-w · Cited by 5
Wildlife energy: Survival of the fittest
Curry, A. E. (2014) · Nature · doi:10.1038/513157a · Cited by 5
Potential short-term earthquake forecasting by farm-animal monitoringPreprint
Wikelski, M. C., Mueller, U., Scocco, P., Catorci, A., Васильевич, Д. Л., Belyaev, M., Keim, D. A., Pohlmeier, W., Fechteler, G., & Martín, P. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.19.911313 · Cited by 5
Calibration of accelerometer transmitters to enable estimation of field metabolic rates in walleye
Ritchie, E. S., Raby, G. D., Smith, K. A., Bzonek, P. A., & Brownscombe, J. W. (2024) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/cjfas-2024-0180 · Cited by 4
Between the Trees: Quantifying Koala Ground Movement for Conservation Action
Sparkes, G. R., Wilson, O., Ellis, W. A. H., FitzGibbon, S. I., Barth, B. J., Clemente, C. J., Crowther, M. S., & Wilson, R. S. (2025) · Animals · doi:10.3390/ani15243537 · Cited by 4
Self-citation
Six decades of animal accelerometry: trends, applications, and future directions
Rudd, J. L., Collins, M. A., Righton, D. A., White, H. L., Witt, M. J., Wright, S. R., & Hawkes, L. A. (2026) · Movement Ecology · doi:10.1186/s40462-026-00641-1 · Cited by 4
Movement and heart rate in the Scandinavian brown bear (Ursus arctos)
Blanchet, L., Fuchs, B., Støen, O., Bergouignan, A., Ordiz, A., Laske, T. G., Arnemo, J. M., & Evans, A. L. (2019) · Animal Biotelemetry · doi:10.1186/s40317-019-0181-7 · Cited by 4
The clutch size, incubation behavior of Reeves's Pheasant (Syrmaticus reevesii) and their responses to ambient temperature and precipitation
Jin, T., Lu, S., Wang, Y., Hua, J., Liu, Z., Hu, Q., Liu, Y., Zhao, Y., Li, J., & Xu, J. (2024) · Avian Research · doi:10.1016/j.avrs.2024.100168 · Cited by 4
Classification of sex-dependent specific behaviours by tri-axial acceleration in the tegu lizard Salvator merianae
Guadalupe‐Silva, A., Zena, L. A., Hervas, L. S., Rios, V. P., Gargaglioni, L. H., Buck, C. L., & Bícego, K. C. (2024) · Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology · doi:10.1016/j.cbpa.2024.111744 · Cited by 4
Tireless travellers: sea turtles swim continuously during homing movements
Luschi, P., Cerritelli, G., Biondi, A., Costanzi, R., Kaska, Y., Sözbilen, D., Hays, G. C., & Casale, P. (2025) · Animal Behaviour · doi:10.1016/j.anbehav.2025.123203 · Cited by 4
Topic modeling of behavioral modes using sensor data
Resheff, Y. S., Rotics, S., Nathan, R., & Weinshall, D. (2016) · International Journal of Data Science and Analytics · doi:10.1007/s41060-016-0003-4 · Cited by 4
Semi-wildlife gait patterns classification using statistical methods and Artificial Neural Networks
Gutiérrez-Galán, D., Dominguez-Morales, J. P., Miró-Amarante, L., Gómez-Rodríguez, F., Domínguez-Morales, M., Rivas-Perez, M., Jimenez-Fernandez, A. F., & Linares-Barranco, A. (2017) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2017.7966365 · Cited by 4
Migratory restlessness and stopover duration in Wood sandpiper Tringa glareola
Vanni, L., Cerritelli, G., Turchi, A., & Giunchi, D. (2021) · Ethology Ecology & Evolution · doi:10.1080/03949370.2021.1878282 · Cited by 4
Differences in the behavioral characteristics between green and loggerhead turtles in a setnet bycatch simulation
Shiode, D., Okamoto, J., Shiozawa, M., Uchida, K., Miyamoto, Y., Hu, F., & Tokai, T. (2021) · Fisheries Research · doi:10.1016/j.fishres.2021.106036 · Cited by 4
Sensor Location Matters When Estimating Player Workload for Baseball Pitching
Agresta, C. E., Freehill, M. T., Zendler, J. D., Giblin, G., & Cain, S. M. (2022) · Sensors · doi:10.3390/s22229008 · Cited by 4
Antarctica on foot: the energy expended to walk, ski and man-haul
Halsey, L. G., Lambert, R., Collins, P. M., Newnham, A., Kumar, A., O’Driscoll, C., & Stroud, M. A. (2015) · Polar Biology · doi:10.1007/s00300-015-1818-5 · Cited by 4
Self-citation
A novel technique for measuring heart rate in a free swimming marine vertebrate
Myers, A. E., & Hays, G. C. (2007) · Journal of Experimental Marine Biology and Ecology · doi:10.1016/j.jembe.2007.04.017 · Cited by 4
Hidden Markov Models Capture Behavioral Responses to Suction-Cup Tag Deployment: A Functional State Approach to Behavioral Context
Isojunno, S., & Miller, P. J. O. (2015) · Advances in experimental medicine and biology · doi:10.1007/978-1-4939-2981-8_59 · Cited by 4
Hiding in the deep : online animal activity recognition using motion sensors and machine learning
Kamminga, J. W. (2020) · doi:10.3990/1.9789036550550 · Cited by 4
Acoustic telemetry tracking and acceleration measurements reveal spatiotemporal movement patterns of the Japanese spiny lobster, Panulirus japonicus
Sasaki, I., Takeda, M., Matsushita, Y., Nakamura, I., & Kawabe, R. (2025) · Fisheries Science · doi:10.1007/s12562-025-01862-w · Cited by 3
Static nets in motion: Evaluating seabed interactions of trammel nets deployed in two Mediterranean artisanal fisheries
Gil, M. D. M., Disdier-Gómez, J. M., Catanese, G., de Juan, S., & Hinz, H. (2025) · Fisheries Research · doi:10.1016/j.fishres.2025.107397 · Cited by 3
Acceleration Data Reveal Behavioural Responses to Hunting Risk in Scandinavian Brown Bears
Clermont, J., Zedrosser, A., Brown, L., Rosell, F., Rekvik, G. E. S., Kindberg, J., & Pelletier, F. (2025) · Ecology and Evolution · doi:10.1002/ece3.71489 · Cited by 3
Where forage meets safety: The role of forest disturbances in red deer adaptation to human pressure
Eggers, J., Seidl, R., Maroschek, M., & Reiner, R. (2025) · Forest Ecology and Management · doi:10.1016/j.foreco.2025.123383 · Cited by 3
Uncovering hidden behaviours: a GPS-accelerometry approach to behaviour classification in storm-petrels
Wilkinson, D. L., Kane, A., Jessopp, M. J., & Quinn, J. L. (2026) · Royal Society Open Science · doi:10.1098/rsos.251772 · Cited by 3
High starch intake favours body weight control in neutered and spayed cats living in homes fed ad libitum
Goloni, C., Pacheco, L. G., Luis, L. W., Theodoro, S. D. S., Scarpim, L. B., Dalpubel, D., Rosenburg, M. G., Jeusette, I. C., Torre, C., Pereira, G. T., et al. (2024) · British Journal Of Nutrition · doi:10.1017/s0007114524000333 · Cited by 3
Síntesis y revisión crítica del uso de bio-registradores para aves marinas en Sudamérica
Quintana, F., Wilson, R., & Gómez‐Laich, A. (2024) · El Hornero · doi:10.56178/eh.v39i2.1488 · Cited by 3
Self-citation
Exploring the effectiveness of machine learning models on livestock behavior classification using 9-axial inertial sensor
Saurav, S., & Kumar, J. (2025) · Evolutionary Intelligence · doi:10.1007/s12065-025-01071-5 · Cited by 3
Modelling the effect of varying metabolic rate and cardiac output on estimated tissue and blood O 2 and CO 2 levels in an extreme deep‐diver, the goose‐beaked whale ( Ziphius cavirostris )
Fahlman, A., Schorr, G. S., Sweeney, D. A., Rone, B. K., Coates, S. N., Allen, A. S., López, L. M. M., Jarvis, S. M., & Falcone, E. A. (2025) · Experimental Physiology · doi:10.1113/ep093021 · Cited by 3
Foraging strategies and efficiencies of lactating northern and Antarctic fur seals : implications for reproductive success.
du Dot, T. J. (2015) · Open Collections · doi:10.14288/1.0166743 · Cited by 3
Handedness and individual roll-angle specialism when plunge diving in the northern gannet
Bennison, A., Clark, B. L., Votier, S. C., Quinn, J. L., Darby, J., & Jessopp, M. J. (2023) · Biology Letters · doi:10.1098/rsbl.2023.0287 · Cited by 3
Plunge-diving into dynamic body acceleration and energy expenditure in the Peruvian booby
van Oordt, F., Silva, J., Patterson, A. G. L., & Elliott, K. H. (2024) · Journal of Experimental Biology · doi:10.1242/jeb.249555 · Cited by 3
SIMULATION, DEVELOPMENT AND DEPLOYMENT OF MOBILE WIRELESS SENSOR NETWORKS FOR MIGRATORY BIRD TRACKING
Bennett, & William, P. E. (2012) · Lincoln (University of Nebraska) · Cited by 3
Crane charades
Bennett, W. P., Fitzpatrick, M. J., Anthony, D., Vuran, M. C., & Lacy, A. E. (2012) · ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) · doi:10.1145/2185677.2185706 · Cited by 3
A New Formulation for Determination of the Competition Coefficient in Multispecies Interaction for Lotka-Volterra Type Competition Models
Swain, A., & Chatterjee, S. (2017) · Current Science · doi:10.18520/cs/v112/i09/1920-1926 · Cited by 3
Environmental Toxicology
Costantini, D., & Dell’Omo, G. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108692120.008 · Cited by 3
Who Goes There: Friend or Foe?
Macdonald, D. W., & Newman, C. (2022) · Oxford University Press eBooks · doi:10.1093/oso/9780192845368.003.0009 · Cited by 3
Behavioural characteristics of loggerhead turtles ( Caretta caretta ) in a submerged bag net of a setnet observed in a bycatch simulation and the development of a turtle releasing device
Shiozawa, M., Shiode, D., Okuyama, J., Hu, F., & Tokai, T. (2019) · Aquatic Conservation Marine and Freshwater Ecosystems · doi:10.1002/aqc.3201 · Cited by 3
Respiration timing and underwater activity in killer whales (Orcinus orca)
Roos, M. M. H. (2015) · St Andrews Research Repository (St Andrews Research Repository) · Cited by 3
A Multi-Week Behavioral Sampling Tag for Sound Effects Studies: Design Trade-Offs and Prototype Evaluation
Johnson, M. P., Tyack, P. L., Gillespie, D., & McConnell, B. J. (2012) · doi:10.21236/ada573540 · Cited by 3
Uncovering secrets of the "Fish of 10,000 casts" : the physiological ecology and behaviour of muskellunge (Esox masquinongy)
Landsman, S. J. (2011) · doi:10.22215/etd/2011-07047 · Cited by 3
“Bio‐logging” as a Tool to Study and Monitor Marine Ecosystems, or How to Spy on Sea Creatures
Tremblay, Y., & Bertrand, S. (2016) · Wiley eBooks · doi:10.1002/9781119330226.ch5 · Cited by 5
The dynamics of spawning acts by a semelparous fish and its associated energetic costsPreprint
Tentelier, C., Bouchard, C., Bernardin, A., Tauzin, A., Aymes, J., Lange, F., Récapet, C., & Rives, J. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/436295 · Cited by 3
Integrated analysis of the movement and ecology of wild dingoes in the arid zone
Tatler, J. (2019) · Adelaide Research & Scholarship (AR&S) (University of Adelaide) · Cited by 3
Physiological ecology and behaviour of bonefish (Albula vulpes) in tropical tidal flats ecosystems
Murchie, K. J. (2010) · Carleton University's Institutional Repository (MacOdrum Library, Carleton University) · doi:10.22215/etd/2010-09713 · Cited by 3
Contextualized Monitoring in the Marine Environment
Gabaldon, J. (2021) · Deep Blue (University of Michigan) · doi:10.7302/2801 · Cited by 3
The role of wingbeat frequency and amplitude in flight powerPreprint
Krishnan, K., Garde, B., Bennison, A., Cole, N. C., Cole, E.-L., Darby, J., Elliott, K. H., Fell, A., Gómez‐Laich, A., de Grissac, S., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.28.497935 · Cited by 3
Self-citation
Lunar gravity predicts sleep timingPreprint
Ferrante, G. R., Casiraghi, L. P., Spiousas, I., Trebucq, L. L., Klei, V., Kahn, J. W., Rice, A., Wood, D., Fernández‐Duque, E., Bales, K. L., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.27.701907 · Cited by 3
Wake respirometry allows breath-by-breath assessment of ventilation and CO2 production in unrestrained animals
Rose, K. A. R., Wilson, R. P., Ramenda, C., Robotka, H., Wikelski, M. C., & Shepard, E. L. C. (2022) · iScience · doi:10.1016/j.isci.2022.104878 · Cited by 2
Self-citation
High survivorship of sandbar sharks (Carcharhinus plumbeus) following catch and release in a growing land-based fishery in Massachusetts
Kneebone, J. R., White, C. F., Collatos, C., & Whitney, N. M. (2024) · Fishery Bulletin · doi:10.7755/fb.122.1-2.1 · Cited by 2
Self-citation
Using non-continuous accelerometry to identify cryptic nesting events of Galapagos giant tortoises
Donovan, E. F., Blake, S., Deem, S. L., Moldowan, P. D., Nieto‐Claudin, A., Cabrera, F., Peñafiel, C., & Bastille‐Rousseau, G. (2024) · Animal Biotelemetry · doi:10.1186/s40317-024-00387-w · Cited by 3
Intraspecific scaling of home range size and its bioenergetic association
Byrnes, E. E., Hounslow, J. L., Heim, V., White, C. E., Smukall, M. J., Beatty, S. J., & Gleiss, A. C. (2025) · Ecology · doi:10.1002/ecy.70003 · Cited by 3
Self-citation
Biologger attachment and retention in channel catfish (Ictalurus punctatus)
Boudreau, M. R., Rainbolt, S., Lister, H., Diamond, A., Lee, A. M., & Allen, P. J. (2025) · Aquaculture · doi:10.1016/j.aquaculture.2025.742281 · Cited by 2
Use of videos to measure dynamic body acceleration as a proxy for metabolic costs in coral reef damselfish (Chromis viridis)
Ishikawa, K., Wu, H., Mitarai, S., & Genin, A. (2025) · Journal of Experimental Biology · doi:10.1242/jeb.249717 · Cited by 2
Vertical energy seascapes and diving behaviour modulate metabolic scope in a pelagic predator
Luongo, S. M., Wegner, N. C., Skelton, Z. R., Ortega‐García, S., Rodríguez-Sánchez, R., Fenix, H., Lake, M., O'Sullivan, J. B., Furukawa, S., Kawabe, R., et al. (2025) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2025.0200 · Cited by 2
Sticking with it: a multi-sensor tag to reveal the foraging ecology and fine-scale behavior of elusive durophagous stingrays
Hampton, C. M., DeGroot, B. C., Brewster, L. R., Bassos‐Hull, K., Metzger, B. A., Mooney, T. A., & Ajemian, M. J. (2025) · Animal Biotelemetry · doi:10.1186/s40317-025-00416-2 · Cited by 2
Effects of host sex, age and behaviour on co-infection patterns in a wild ungulate
Berland, F., Bourret, V., Peroz, C., Malandrin, L., Bonsergent, C., Bailly, X., Masseglia, S., Nouvel, L., Lagrée, A.-C., Rouxel, C., et al. (2025) · Parasitology · doi:10.1017/s0031182025100899 · Cited by 2
Cascading carry-over effects of early activity phenotypes in golden eagles
Zimmermann, S.-S., Grüebler, M. U., Hatzl, J. S., Bassi, E., Safi, K., Fiedler, W., Jenny, D., & Tschumi, M. (2026) · Royal Society Open Science · doi:10.1098/rsos.252523 · Cited by 2
Thermal performance and activation energy explain flexible thermal habitat use in great hammerhead sharks
Spencer, E. T., Hoopes, L. A., Morris, J. J., Chapman, D. D., Hagan, V., Hueter, R. E., & Papastamatiou, Y. P. (2026) · Journal of Experimental Biology · doi:10.1242/jeb.251837 · Cited by 2
Energetic Costs of Extreme Heat: High Temperatures Elevate Daytime Activity and Suppress Nighttime Foraging in Flying‐Foxes
Walker, M. J., Welbergen, J. A., Meade, J., Boardman, W., Martin, J. M., & Turbill, C. (2026) · Ecology and Evolution · doi:10.1002/ece3.73408 · Cited by 2
Evaluation of mammalian endurance using accelerometry in natura : bridging exercise physiology and ecology
Rozier-Delgado, P., Vonderscher, M., Blervaque, L., Brivio, F., Buuveibaatar, B., Chamaillé‐Jammes, S., Ciuti, S., Christe, P., English, H. M., Eriksen, A., et al. (2026) · Journal of Experimental Biology · doi:10.1242/jeb.251129 · Cited by 2
Baseline Activity Patterns of Two Captive Red Pandas (A. f. styani) to Inform Future Conservation Translocations in Sichuan China
Fan, X., Lv, R., & Ayala, J. E. (2026) · Animals · doi:10.3390/ani16111736 · Cited by 2
Heart rate supports accelerometry as a reliable predictor of energy expenditure in bats
Bayer, T. D., Aguilar, M. G., Barria, L., Gómez, L. F. H., Lee, J. P., & O’Mara, M. T. (2026) · Journal of Experimental Biology · doi:10.1242/jeb.251521 · Cited by 2
Biologging science: advances in our knowledge of seabirds and their behaviours
Evans, D. (2024) · PEARL (University of Plymouth) · doi:10.24382/vte9-mm20 · Cited by 2
Putting a Price on Honesty: Methods to Evaluate the Costs of Olfactory Signalling
Buesching, C. D., & Newman, C. (2023) · Springer eBooks · doi:10.1007/978-3-031-35159-4_4 · Cited by 2
Using heart rate and acceleration biologgers to estimate winter activity costs in free-swimming largemouth bass
Reeve, C., Smith, K. A., Morin, A., Bzonek, P. A., Cooke, S. J., & Brownscombe, J. W. (2024) · Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology · doi:10.1016/j.cbpa.2024.111708 · Cited by 2
Small energy benefits of in-wake flying in long-duration migratory flights
Perinot, E., Mizrahy-Rewald, O., Fritz, J., Nobile, M. S., Vyssotski, A. L., Ruf, T., Fusani, L., & Voelkl, B. (2024) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2024.1173 · Cited by 2
Fisher activity patterns show potential for behavioral adaptations to human modified landscapes
Ganoe, L. S., Mayer, A., Brown, C. H., & Gerber, B. D. (2024) · Global Ecology and Conservation · doi:10.1016/j.gecco.2024.e03225 · Cited by 2
Repeatability of swimming activity of the Patagonian grouper Acanthistius patachonicus based on accelerometry
Venerus, L. A., Domenici, P., Marras, S., Beltramino, L. E., & Ciancio, J. E. (2024) · Conservation Physiology · doi:10.1093/conphys/coae074 · Cited by 2
Classification of behaviour with low-frequency accelerometers in female wild boar
Ruf, T., Krämer, J., Bieber, C., & Vetter, S. G. (2025) · PLoS ONE · doi:10.1371/journal.pone.0318928 · Cited by 2
Opportunistic Gulls Infected by Antibiotic‐Resistant Bacteria Show Contrasting Movement Behaviour
Martín‐Vélez, V., Montalvo, T., Ramı́rez, F., Figuerola, J., Morral-Puigmal, C., Planell, R., Sabaté, S., Bota, G., & Navarro, J. (2025) · Ecology and Evolution · doi:10.1002/ece3.71257 · Cited by 2
Behavioral data suggest adaptive buoyancy control during shallow dives in humpback whales
Ratsimbazafindranahaka, M. N., Adam, O., Huetz, C., Reidenberg, J. S., Saloma, A., Andrianarimisa, A., & Charrier, I. (2025) · Journal of Experimental Biology · doi:10.1242/jeb.249936 · Cited by 2
Observing grazing patterns with collar-mounted accelerometers and spatial data
Obermeyer, K., Kayser, M., & Isselstein, J. (2025) · Frontiers in Animal Science · doi:10.3389/fanim.2025.1517570 · Cited by 2
Ephedra sinica Influences the Grazing Activities of Mixed Grazing Cattle and Sheep in Desert Steppe
Zhang, Z., Gou, X., Rong, Y., Hu, Y., Zhang, Z., Ao, P., & Cheng, Y. (2025) · Land Degradation and Development · doi:10.1002/ldr.5668 · Cited by 2
Is there a link between the acute stress response and the movement syndrome of a wild large herbivore?
Khazar, I., Morellet, N., Hewison, A. J. M., Gervais, L., Verheyden, H., Loc’h, G. L., Bonnet, A., Cèbe, N., Chaval, Y., Geffré, A., et al. (2025) · Animal Behaviour · doi:10.1016/j.anbehav.2025.123374 · Cited by 2
A Low-Order Model of Dolphin Swimming Dynamics: Fluke Flexibility and Energetics
Xargay, E., Antoniak, G., Barton, K. L., & Shorter, K. A. (2023) · IEEE Conference on Control Technology and Applications (CCTA) · doi:10.1109/ccta54093.2023.10253167 · Cited by 2
Inertial Measurement Units (IMUs) in Drowning Prevention: An Exploratory Study
Moran, K., & Moran, D. (2015) · International Journal of Aquatic Research and Education · doi:10.25035/ijare.09.03.04 · Cited by 2

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: WILSON, RORY P.
WHITE, CRAIG R.
QUINTANA, FLAVIO
HALSEY, LEWIS G.
MARTIN, GRAHAM R.
BUTLER, PATRICK J.
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
DOI: 10.1111/j.1365-2656.2006.01127.x
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
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
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

Moving towards acceleration for estimates of activity‐specific metabolic rate in free‐living animals: the case of the cormorant

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks