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-citationQasem, L., Cardew, A., Wilson, A., Griffiths, I., Halsey, L. G., Shepard, E. L. C., Gleiss, A. C., & Wilson, R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031187 · Cited by 399
Self-citationPersonal thermal comfort models with wearable sensors
Liu, S., Schiavon, S., Das, H., Jin, M., & Spanos, C. J. (2019) · Building and Environment · doi:10.1016/j.buildenv.2019.106281 · Cited by 308
Halsey, L. G., Shepard, E. L. C., & Wilson, R. P. (2010) · Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology · doi:10.1016/j.cbpa.2010.09.002 · Cited by 288
Self-citationDerivation of body motion via appropriate smoothing of acceleration data
Shepard, E. L. C., Wilson, R., Halsey, L. G., Quintana, F., Laich, A. G., Gleiss, A. C., Liebsch, N., Myers, A., & Norman, B. M. (2008) · Aquatic Biology · doi:10.3354/ab00104 · Cited by 284
Self-citationEstimates for energy expenditure in free‐living animals using acceleration proxies: A reappraisal
Wilson, R. P., Börger, L., Holton, M. D., Scantlebury, D. M., Gómez‐Laich, A., Quintana, F., Rosell, F., Graf, P. M., Williams, H. J., Gunner, R., et al. (2019) · Journal of Animal Ecology · doi:10.1111/1365-2656.13040 · Cited by 278
Self-citationThe relationship between oxygen consumption and body acceleration in a range of species
Halsey, L. G., Shepard, E. L. C., Quintana, F., Laich, A. G., Green, J. A., & Wilson, R. P. (2008) · Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology · doi:10.1016/j.cbpa.2008.09.021 · Cited by 245
Self-citationPayne, N. L., Smith, J. A., van der Meulen, D. E., Taylor, M. D., Watanabe, Y. Y., Takahashi, A., Marzullo, T. A., Gray, C. A., Cadiou, G., & Suthers, I. M. (2015) · Functional Ecology · doi:10.1111/1365-2435.12618 · Cited by 245
Challenges and solutions for studying collective animal behaviour in the wild
Hughey, L. F., Hein, A. M., Strandburg‐Peshkin, A., & Jensen, F. H. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0005 · Cited by 229
Farrell, A. P., Eliason, E. J., Sandblom, E., & Clark, T. D. (2009) · Canadian Journal of Zoology · doi:10.1139/z09-092 · Cited by 240
Instantaneous energetics of puma kills reveal advantage of felid sneak attacks
Williams, T. M., Wolfe, L. L., Davis, T., Kendall, T. L., Richter, B. P., Wang, Y., Bryce, C. M., Elkaim, G., & Wilmers, C. C. (2014) · Science · doi:10.1126/science.1254885 · Cited by 221
Construction of energy landscapes can clarify the movement and distribution of foraging animals
Wilson, R. P., Quintana, F., & Hobson, V. J. (2011) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2011.1544 · Cited by 204
Self-citationAnalysis of animal accelerometer data using hidden Markov models
Leos‐Barajas, V., Photopoulou, T., Langrock, R., Patterson, T. A., Watanabe, Y. Y., Murgatroyd, M., & Papastamatiou, Y. P. (2017) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12657 · Cited by 187
Costs of migratory decisions: A comparison across eight white stork populations
Flack, A., Fiedler, W., Blas, J., Pokrovsky, I. G., Kaatz, M., Mitropolsky, M., Aghababyan, K., Fakriadis, I., Makrigianni, E., Jerzak, L., et al. (2016) · Science Advances · doi:10.1126/sciadv.1500931 · Cited by 186
How Cheap Is Soaring Flight in Raptors? A Preliminary Investigation in Freely-Flying Vultures
Duriez, O., Kato, A., Tromp, C., Dell’Omo, G., Vyssotski, A. L., Sarrazin, F., & Ropert‐Coudert, Y. (2014) · PLoS ONE · doi:10.1371/journal.pone.0084887 · Cited by 178
Biologging technologies: new tools for conservation. Introduction
Bograd, S., Block, B. A., da Costa, D. P., & Godley, B. J. (2010) · Endangered Species Research · doi:10.3354/esr00269 · Cited by 185
Bidder, O. R., Campbell, H. A., Gómez‐Laich, A., Urgé, P., Walker, J., Cai, Y., Gao, L., Quintana, F., & Wilson, R. P. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088609 · Cited by 170
Self-citationAdult vultures outperform juveniles in challenging thermal soaring conditions
Harel, R., Horvitz, N., & Nathan, R. (2016) · Scientific Reports · doi:10.1038/srep27865 · Cited by 167
From Sensor Data to Animal Behaviour: An Oystercatcher Example
Shamoun-Baranes, J. Z., Bom, R. A., van Loon, E. E., Ens, B. J., Oosterbeek, K., & Bouten, W. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037997 · Cited by 162
Resheff, Y. S., Rotics, S., Harel, R., Spiegel, O., & Nathan, R. (2014) · Movement Ecology · doi:10.1186/s40462-014-0027-0 · Cited by 168
Convergent evolution in locomotory patterns of flying and swimming animals
Gleiss, A. C., Jorgensen, S. J., Liebsch, N., Sala, J. E., Norman, B. M., Hays, G. C., Quintana, F., Grundy, E., Campagna, C., Trites, A. W., et al. (2011) · Nature Communications · doi:10.1038/ncomms1350 · Cited by 160
Self-citationAccelerometry to Estimate Energy Expenditure during Activity: Best Practice with Data Loggers
Halsey, L. G., Green, J. A., Wilson, R. P., & Frappell, P. (2008) · Physiological and Biochemical Zoology · doi:10.1086/589815 · Cited by 159
Self-citationWang, Y., Nickel, B. A., Rutishauser, M., Bryce, C. M., Williams, T. M., Elkaim, G., & Wilmers, C. C. (2015) · Movement Ecology · doi:10.1186/s40462-015-0030-0 · Cited by 154
Green, J. A., Halsey, L. G., Wilson, R. P., & Frappell, P. B. (2009) · Journal of Experimental Biology · doi:10.1242/jeb.026377 · Cited by 152
Self-citationIdentification of animal movement patterns using tri-axial magnetometry
Williams, H. J., Holton, M. D., Shepard, E. L. C., Largey, N., Norman, B. M., Ryan, P. G., Duriez, O., Scantlebury, M., Quintana, F., Magowan, E. A., et al. (2017) · Movement Ecology · doi:10.1186/s40462-017-0097-x · Cited by 149
Self-citationGleiss, A. C., Dale, J. J., Holland, K. N., & Wilson, R. P. (2010) · Journal of Experimental Marine Biology and Ecology · doi:10.1016/j.jembe.2010.01.012 · Cited by 145
Self-citationClark, T. D., Sandblom, E., Hinch, S. G., Patterson, D. A., Frappell, P. B., & Farrell, A. P. (2010) · Journal of Comparative Physiology B · doi:10.1007/s00360-009-0442-5 · Cited by 147
Navigating through the r packages for movement
Joo, R., Boone, M., Clay, T. A., Patrick, S. C., Clusella‐Trullas, S., & Basille, M. (2019) · Journal of Animal Ecology · doi:10.1111/1365-2656.13116 · Cited by 148
du Dot, T. J., Guinet, C., Arnould, J. P. Y., Speakman, J. R., & Trites, A. W. (2016) · Functional Ecology · doi:10.1111/1365-2435.12729 · Cited by 145
Novel opportunities for wildlife conservation and research with real‐time monitoring
Wall, J., Wittemyer, G., Klinkenberg, B., & Douglas‐Hamilton, I. (2014) · Ecological Applications · doi:10.1890/13-1971.1 · Cited by 140
Accelerometry predicts daily energy expenditure in a bird with high activity levels
Elliott, K. H., Vaillant, M. L., Kato, A., Speakman, J. R., & Ropert‐Coudert, Y. (2012) · Biology Letters · doi:10.1098/rsbl.2012.0919 · Cited by 137
Identification of behaviours from accelerometer data in a wild social primate
Fehlmann, G., O'Riain, M. J., Hopkins, P. W., O’Sullivan, J., Holton, M. D., Shepard, E. L. C., & King, A. J. (2017) · Animal Biotelemetry · doi:10.1186/s40317-017-0121-3 · Cited by 146
Gleiss, A. C., Norman, B. M., & Wilson, R. P. (2010) · Functional Ecology · doi:10.1111/j.1365-2435.2010.01801.x · Cited by 136
Self-citationFuturecasting ecological research: the rise of technoecology
Allan, B. M., Nimmo, D. G., Ierodiaconou, D. A., VanDerWal, J. J., Koh, L. P., & Ritchie, E. G. (2018) · Ecosphere · doi:10.1002/ecs2.2163 · Cited by 134
Identification of imperial cormorant Phalacrocorax atriceps behaviour using accelerometers
Laich, A. G., Wilson, R., Quintana, F., & Shepard, E. L. C. (2008) · Endangered Species Research · doi:10.3354/esr00091 · Cited by 132
Self-citationEvaluating Contributions of Recent Tracking-Based Animal Movement Ecology to Conservation Management
Katzner, T. E., & Arlettaz, R. (2020) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2019.00519 · Cited by 131
Identifying shark mating behaviour using three-dimensional acceleration loggers
Whitney, N. M., Pratt, H. L., Pratt, T., & Carrier, J. C. (2009) · Endangered Species Research · doi:10.3354/esr00247 · Cited by 128
Fort, J., Porter, W. P., & Grémillet, D. (2009) · Journal of Experimental Biology · doi:10.1242/jeb.032300 · Cited by 127
Applications and implications of ecological energetics
Tomlinson, S., Arnall, S. G., Munn, A. J., Bradshaw, D., Maloney, S. K., Dixon, K. W., & Didham, R. K. (2014) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2014.03.003 · Cited by 131
Estimating activity-specific energy expenditure in a teleost fish, using accelerometer loggers
Wright, S. R., Metcalfe, J., Hetherington, S. J., & Wilson, R. P. (2013) · Marine Ecology Progress Series · doi:10.3354/meps10528 · Cited by 126
Self-citationHalsey, L. G., Shepard, E. L. C., Hulston, C. J., Venables, M., White, C. R., Jeukendrup, A. E., & Wilson, R. P. (2008) · Zoology · doi:10.1016/j.zool.2007.07.011 · Cited by 128
Self-citationBäckman, J., Andersson, A., Alerstam, T., Pedersen, L., Sjöberg, S., Thorup, K., & Tøttrup, A. P. (2016) · Journal of Avian Biology · doi:10.1111/jav.01068 · Cited by 122
Chimienti, M., Cornulier, T., Owen, E., Bolton, M., Davies, I. M., Travis, J. M. J., & Scott, B. E. (2016) · Ecology and Evolution · doi:10.1002/ece3.1914 · Cited by 120
Bestley, S., Jonsen, I. D., Hindell, M. A., Guinet, C., & Charrassin, J. (2012) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2012.2262 · Cited by 115
Burnett, N. J., Hinch, S. G., Braun, D. C., Casselman, M. T., Middleton, C. T., Wilson, S. M., & Cooke, S. J. (2014) · Physiological and Biochemical Zoology · doi:10.1086/677219 · Cited by 113
What makes marine turtles go: A review of metabolic rates and their consequences
Wallace, B. P., & Jones, T. T. (2008) · Journal of Experimental Marine Biology and Ecology · doi:10.1016/j.jembe.2007.12.023 · Cited by 112
Thermoregulation and habitat selection in wood turtles Glyptemys insculpta : chasing the sun slowly
Dubois, Y., Blouin‐Demers, G., Shipley, B., & Thomas, D. W. (2009) · Journal of Animal Ecology · doi:10.1111/j.1365-2656.2009.01555.x · Cited by 112
Analytical approaches to investigating seabird–environment interactions: a review
Tremblay, Y., Bertrand, S., Henry, R., Kappes, M., da Costa, D. P., & Shaffer, S. A. (2009) · Marine Ecology Progress Series · doi:10.3354/meps08146 · Cited by 117
Murchie, K. J., Cooke, S. J., Danylchuk, A. J., & Suski, C. D. (2010) · Journal of Experimental Marine Biology and Ecology · doi:10.1016/j.jembe.2010.10.019 · Cited by 106
Christiansen, F., Rasmussen, M. H., & Lusseau, D. (2014) · Journal of Experimental Marine Biology and Ecology · doi:10.1016/j.jembe.2014.05.014 · Cited by 113
Brewster, L. R., Dale, J. J., Guttridge, T. L., Gruber, S. H., Hansell, A. C., Elliott, M., Cowx, I. G., Whitney, N. M., & Gleiss, A. C. (2018) · Marine Biology · doi:10.1007/s00227-018-3318-y · Cited by 108
Bestley, S., Jonsen, I. D., Hindell, M. A., Harcourt, R. G., & Gales, N. J. (2014) · Ecology · doi:10.1890/14-0469.1 · Cited by 103
Whitney, N. M., Papastamatiou, Y. P., Holland, K. N., & Lowe, C. G. (2007) · Aquatic Living Resources · doi:10.1051/alr:2008006 · Cited by 103
A novel biomechanical approach for animal behaviour recognition using accelerometers
Chakravarty, P., Cozzi, G., Özgül, A., & Aminian, K. (2019) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13172 · Cited by 103
Portugal, S. J., Green, J. A., & Butler, P. J. (2007) · Journal of Experimental Biology · doi:10.1242/jeb.004598 · Cited by 103
Self-citationAoki, K., Watanabe, Y. Y., Crocker, D. E., Robinson, P. W., Biuw, M., da Costa, D. P., Miyazaki, N., Fedak, M. A., & Miller, P. J. O. (2011) · Journal of Experimental Biology · doi:10.1242/jeb.055137 · Cited by 102
Biologging and Biotelemetry: Tools for Understanding the Lives and Environments of Marine Animals
Watanabe, Y. Y., & Papastamatiou, Y. P. (2023) · Annual Review of Animal Biosciences · doi:10.1146/annurev-animal-050322-073657 · Cited by 102
Windscape and tortuosity shape the flight costs of northern gannets
Amélineau, F., Péron, C., Lescroël, A., Authier, M., Provost, P., & Grémillet, D. (2014) · Journal of Experimental Biology · doi:10.1242/jeb.097915 · Cited by 105
Graf, P. M., Wilson, R. P., Qasem, L. A., Hackländer, K., & Rosell, F. (2015) · PLoS ONE · doi:10.1371/journal.pone.0136751 · Cited by 111
Self-citationLear, K. O., Whitney, N. M., Morris, J. J., & Gleiss, A. C. (2021) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2021.0816 · Cited by 100
Acceleration data reveal the energy management strategy of a marine ectotherm during reproduction
Fossette, S., Schofield, G., Lilley, M. K. S., Gleiss, A. C., & Hays, G. C. (2012) · Functional Ecology · doi:10.1111/j.1365-2435.2011.01960.x · Cited by 100
Cues and decision rules in animal migration
Bauer, S., Nolet, B. A., Giske, J., Chapman, J. W., Åkesson, S., Hedenström, A., & Fryxell, J. M. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199568994.003.0006 · Cited by 101
Wilson, S. M., Hinch, S. G., Eliason, E. J., Farrell, A. P., & Cooke, S. J. (2012) · Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology · doi:10.1016/j.cbpa.2012.12.002 · Cited by 99
Early arrival at breeding grounds: Causes, costs and a trade‐off with overwintering latitude
Rotics, S., Kaatz, M., Turjeman, S., Zurell, D., Wikelski, M. C., Sapir, N., Eggers, U., Fiedler, W., Jeltsch, F., & Nathan, R. (2018) · Journal of Animal Ecology · doi:10.1111/1365-2656.12898 · Cited by 100
Gleiss, A. C., Wright, S. R., Liebsch, N., Wilson, R. P., & Norman, B. M. (2013) · Marine Biology · doi:10.1007/s00227-013-2288-3 · Cited by 104
Self-citationThe energetic cost of parasitism in a wild population
Hicks, O., Burthe, S. J., Daunt, F., Newell, M. A., Butler, A., Ito, M., Sato, K., & Green, J. A. (2018) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2018.0489 · Cited by 96
Payne, N. L., Gillanders, B. M., Seymour, R. S., Webber, D. M., Snelling, E. P., & Semmens, J. M. (2010) · Journal of Animal Ecology · doi:10.1111/j.1365-2656.2010.01758.x · Cited by 96
Miller, P. J. O., Kvadsheim, P. H., Lam, F. A., Tyack, P. L., Curé, C., DeRuiter, S. L., Kleivane, L., Sivle, L. D., van IJsselmuide, S. P., Visser, F., et al. (2015) · Royal Society Open Science · doi:10.1098/rsos.140484 · Cited by 95
Ecotourism increases the field metabolic rate of whitetip reef sharks
Barnett, A., Payne, N. L., Semmens, J. M., & Fitzpatrick, R. (2016) · Biological Conservation · doi:10.1016/j.biocon.2016.05.009 · Cited by 95
Broell, F., Noda, T., Wright, S. R., Domenici, P., Steffensen, J. F., Auclair, J.-P., & Taggart, C. T. (2012) · Journal of Experimental Biology · doi:10.1242/jeb.077396 · Cited by 94
Excess Baggage for Birds: Inappropriate Placement of Tags on Gannets Changes Flight Patterns
Vandenabeele, S. P., Grundy, E., Friswell, M. I., Grogan, A., Votier, S. C., & Wilson, R. P. (2014) · PLoS ONE · doi:10.1371/journal.pone.0092657 · Cited by 94
Self-citationWhitney, N. M., White, C. F., Gleiss, A. C., Schwieterman, G. D., Anderson, P. A., Hueter, R. E., & Skomal, G. B. (2016) · Fisheries Research · doi:10.1016/j.fishres.2016.06.003 · Cited by 93
Self-citationSwimming strategies and energetics of endothermic white sharks during foraging
Watanabe, Y. Y., Payne, N. L., Semmens, J. M., Fox, A., & Huveneers, C. P. M. (2019) · Journal of Experimental Biology · doi:10.1242/jeb.185603 · Cited by 93
Supervised accelerometry analysis can identify prey capture by penguins at sea
Carroll, G., Slip, D. J., Jonsen, I. D., & Harcourt, R. G. (2014) · Journal of Experimental Biology · doi:10.1242/jeb.113076 · Cited by 96
Wang, Z. A., Moustahfid, H., Mueller, A. V., Michel, A. P. M., Mowlem, M. C., Glazer, B. T., Mooney, T. A., Michaels, W., McQuillan, J. S., Robidart, J. C., et al. (2019) · Frontiers in Marine Science · doi:10.3389/fmars.2019.00519 · Cited by 99
Windscapes shape seabird instantaneous energy costs but adult behavior buffers impact on offspring
Elliott, K. H., Chivers, L. S., Bessey, L., Gaston, A. J., Hatch, S. A., Kato, A., Osborne, O. E., Ropert‐Coudert, Y., Speakman, J. R., & Hare, J. F. (2014) · Movement Ecology · doi:10.1186/s40462-014-0017-2 · Cited by 97
Signer, C., Ruf, T., Schober, F., Fluch, G., Paumann, T., & Arnold, W. (2010) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2009.00010.x · Cited by 90
Can accelerometry be used to distinguish between flight types in soaring birds?
Williams, H. J., Shepard, E. L. C., Duriez, O., & Lambertucci, S. A. (2015) · Animal Biotelemetry · doi:10.1186/s40317-015-0077-0 · Cited by 90
Activity and diving metabolism correlate in Steller sea lion Eumetopias jubatus
Fahlman, A., Wilson, R. P., Svärd, C., Rosen, D., & Trites, A. W. (2008) · Aquatic Biology · doi:10.3354/ab00039 · Cited by 90
Self-citationCabezas, J., Yubero, R., Visitación, B., Navarro, J., Algar, M. J., Cano, E. L., & Ortega, F. (2022) · Entropy · doi:10.3390/e24030336 · Cited by 85
McClune, D. W., Marks, N. J., Wilson, R. P., Houghton, J. D. R., Montgomery, I. W., McGowan, N. E., Gormley, E. P., & Scantlebury, M. (2014) · Animal Biotelemetry · doi:10.1186/2050-3385-2-5 · Cited by 85
Self-citationJoint modelling of multi‐scale animal movement data using hierarchical hidden Markov models
Adam, T., Griffiths, C. A., Barajas, V. L., Meese, E. N., Lowe, C. G., Blackwell, P. G., Righton, D. A., & Langrock, R. (2019) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13241 · Cited by 83
Using tri-axial accelerometers to identify wild polar bear behaviors
Pagano, A. M., Rode, K. D., Cutting, A., Owen, M., Jensen, S., Ware, J. V., Robbins, C., Durner, G. M., Atwood, T., Obbard, M. E., et al. (2016) · Endangered Species Research · doi:10.3354/esr00779 · Cited by 83
Halsey, L. G., Matthews, P. G. D., Rezende, E. L., Chauvaud, L., & Robson, A. A. (2015) · Oecologia · doi:10.1007/s00442-014-3190-5 · Cited by 92
Self-citationWintering in Europe instead of Africa enhances juvenile survival in a long-distance migrant
Rotics, S., Turjeman, S., Kaatz, M., Resheff, Y. S., Zurell, D., Sapir, N., Eggers, U., Fiedler, W., Flack, A., Jeltsch, F., et al. (2017) · Animal Behaviour · doi:10.1016/j.anbehav.2017.01.016 · Cited by 84
Noda, T., Kawabata, Y., Arai, N., Mitamura, H., & Watanabe, S. (2013) · Journal of Experimental Marine Biology and Ecology · doi:10.1016/j.jembe.2013.10.031 · Cited by 80
High accuracy at low frequency: detailed behavioural classification from accelerometer data
Tatler, J., Cassey, P., & Prowse, T. A. A. (2018) · Journal of Experimental Biology · doi:10.1242/jeb.184085 · Cited by 80
Allometric estimation of metabolic rates in animals
White, C. R. (2010) · Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology · doi:10.1016/j.cbpa.2010.10.004 · Cited by 80
Self-citationPayne, N. L., Meyer, C. G., Smith, J. A., Houghton, J. D. R., Barnett, A., Holmes, B. J., Nakamura, I., Papastamatiou, Y. P., Royer, M. A., Coffey, D. M., et al. (2018) · Global Change Biology · doi:10.1111/gcb.14088 · Cited by 79
Self-citationCade, D. E., Gough, W. T., Czapanskiy, M. F., Fahlbusch, J. A., Kahane-Rapport, S. R., Linsky, J. M. J., Nichols, R. C., Oestreich, W. K., Wisniewska, D. M., Friedlaender, A. S., et al. (2021) · Animal Biotelemetry · doi:10.1186/s40317-021-00256-w · Cited by 78
Fahr, J., Abedi‐Lartey, M., Esch, T., Machwitz, M., Suu‐Ire, R., Wikelski, M. C., & Dechmann, D. K. N. (2015) · PLoS ONE · doi:10.1371/journal.pone.0138985 · Cited by 78
Lear, K. O., Whitney, N. M., Brewster, L. R., Morris, J. J., Hueter, R. E., & Gleiss, A. C. (2016) · Journal of Experimental Biology · doi:10.1242/jeb.146993 · Cited by 78
Kleyheeg, E., Treep, J., de Jager, M., Nolet, B. A., & Soons, M. B. (2017) · Journal of Ecology · doi:10.1111/1365-2745.12738 · Cited by 78
The foraging benefits of being fat in a highly migratory marine mammal
Adachi, T., Maresh, J. L., Robinson, P. W., Peterson, S. H., da Costa, D. P., Naito, Y., Watanabe, Y. Y., & Takahashi, A. (2014) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2014.2120 · Cited by 77
Recent advances in telemetry for estimating the energy metabolism of wild fishes
Metcalfe, J. D., Wright, S. R., Tudorache, C., & Wilson, R. P. (2015) · Journal of Fish Biology · doi:10.1111/jfb.12804 · Cited by 77
Self-citationGrémillet, D., Lescroël, A., Ballard, G., Dugger, K. M., Massaro, M., Porzig, E. L., & Ainley, D. G. (2018) · Functional Ecology · doi:10.1111/1365-2435.13074 · Cited by 77
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