Schneirla TC: The relationship between observation and experimentation in the field study of behavior. Annals NY Acad Sci 1950, 51: 1022–1044. 10.1111/j.1749-6632.1950.tb27331.x
Google Scholar
Carpenter CR: A field study of the behavioral and social relations of howling monkeys ( Alouatta palliata ). Comp Psychol Monographs 1934, 10: 1–168.
Google Scholar
Caro TM: Demography and behaviour of African mammals subject to exploitation. Biol Conserv 1999, 91: 91–97. 10.1016/S0006-3207(99)00033-6
Google Scholar
Maffei L, Noss AJ, Cuéllar E, Rumiz DI: Ocelot ( Felis pardalis ) population densities, activity, and ranging behaviour in the dry forests of eastern Bolivia: data from camera trapping. J Trop Ecol 2005, 21: 349–353. 10.1017/S0266467405002397
Google Scholar
Chapman FM: Who treads our trails. Nat Geogr Mag 1927, 52: 341–345.
Google Scholar
Jack KM, Lenz BB, Healan E, Rudman S, Schoof VAM, Fedigan L: The effects of observer presence on the behavior of Cebus capucinus in Costa Rica. Am J Primatol 2008, 70: 490–494. 10.1002/ajp.20512
PubMed
Google Scholar
Crofoot MC, Lambert TD, Kays R, Wikelski MC: Does watching a monkey change its behaviour? Quantifying observer effects in habitutated wild primates using automated radiotelemetry. Anim Behav 2010, 80: 475–480. 10.1016/j.anbehav.2010.06.006
Google Scholar
Isbell LA, Young TP: Human presence reduces predation in a free-ranging vervet monkey population in Kenya. Anim Behav 1993, 45: 1233–1235. 10.1006/anbe.1993.1145
Google Scholar
Caine NG: Unrecognized anti-predator behavior can bias observational data. Anim Behav 1990, 39: 195–197. 10.1016/S0003-3472(05)80741-9
Google Scholar
Martin P, Bateson PPG: Measuring Behaviour. 3rd edition. Cambridge: Cambridge University Press; 2007.
Google Scholar
Cagnacci F, Boitani L, Powell RA, Boyce MS: Animal ecology meets GPS-based radiotelemetry: a perfect storm of opportunities and challenges. Phil Transac Royal Soc B-Biol Sci 2010, 365: 2157–2162. 10.1098/rstb.2010.0107
Google Scholar
Kooyman GL: Genesis and evolution of bio-logging devices: 1963–2002. Memoirs Nat Inst Polar Res Special Issue 2004, 58: 15–22.
Google Scholar
Cooke SJ, Hinch SG, Wikelski M, Andrews RD, Kuchel LJ, Wolcott TG, Butler PJ: Biotelemetry: a mechanistic approach to ecology. Trends Ecol Evol 2004, 19: 334–343. 10.1016/j.tree.2004.04.003
PubMed
Google Scholar
Altmann J: Observational study of behavior: sampling methods. Behaviour 1974, 49: 227–267. 10.1163/156853974X00534
CAS
PubMed
Google Scholar
Hart KM, Hyrenbach KD: Satellite telemetry of marine megavertebrates: the coming of age of an experimental science. Endangered Spec Res 2009, 10: 9–20.
Google Scholar
Tomkiewicz SM, Fuller MR, Kie JG, Bates KK: Global positioning system and associated technologies in animal behaviour and ecological research. Philosophical Transac Royal Soc B-Biol Sci 2010, 365: 2163–2176. 10.1098/rstb.2010.0090
Google Scholar
Fryxell JM, Hazell M, Borger L, Dalziel BD, Haydon DT, Morales JM, McIntosh T, Rosatte RC: Multiple movement modes by large herbivores at multiple spatiotemporal scales. Proc Natl Acad Sci USA 2008, 105: 19114–19119. 10.1073/pnas.0801737105
CAS
PubMed Central
PubMed
Google Scholar
Aguiar LM, Moro-Rios RF: The direct observational method and possibilities for Neotropical Carnivores: an invitation for the rescue of a classical method spread over the Primatology. Zoologia 2009, 26: 587–593.
Google Scholar
Halsey LG, Green JA, Wilson RP, Frappell PB: Accelerometry to estimate energy expenditure during activity: best practice with data loggers. Physiol Biochem Zool 2009, 82: 396–404. 10.1086/589815
CAS
PubMed
Google Scholar
Shepard ELC, Wilson RP, Quintana F, Gomez Laich A, Liebsch N, Albareda DA, Halsey LG, Gleiss A, Morgan DT, Myers AE, Newman C, Macdonald DW: Identification of animal movement patterns using tri-axial accelerometry. Endangered Spec Res 2010, 10: 47–60.
Google Scholar
Brown DD, LaPoint S, Kays R, Heidrich W, Kümmeth F, Wikelski M: Accelerometer-informed GPS telemetry: reducing the trade-Off between resolution and longevity. Wildlife Soc Bull 2012, 36: 139–146. 10.1002/wsb.111
Google Scholar
Dow C, Michel KE, Love M, Brown DC: Evaluation of optimal sampling interval for activity monitoring in companion dogs. Am J Vet Res 2009, 70: 444–448. 10.2460/ajvr.70.4.444
PubMed Central
PubMed
Google Scholar
Laich AG, Wilson RP, Quintana F, Shepard ELC: Identification of imperial cormorant Phalacrocorax atriceps behaviour using accelerometers. Endangered Spec Res 2010, 10: 29–37.
Google Scholar
Wilson RP, Shepard ELC, Liebsch N: Prying into the intimate details of animal lives: use of a daily diary on animals. Endangered Spec Res 2008, 4: 123–137.
Google Scholar
Morris JRW: Accelerometry – A technique for the measurement of human body movements. J Biomech 1973, 6: 729–736. 10.1016/0021-9290(73)90029-8
CAS
PubMed
Google Scholar
Chen KY, Bassett DR: The technology of accelerometry-based activity monitors: current and future. Med Sci Sports Exer 2005, 37: S490-S500. 10.1249/01.mss.0000185571.49104.82
Google Scholar
Servais SB, Webster JG, Montoye HJ: Estimating human energy expenditure using an accelerometer device. J Clin Eng 1984, 92: 159–171.
Google Scholar
Meijer GA, Westerterp KR, Koper H, Hoor FT: Assessment of energy expenditure by recording heart rate and body acceleration. Med Sci Sports Exerc 1989, 21: 343–347.
CAS
PubMed
Google Scholar
Cavagna G, Saibene F, Margaria R: A three-directional accelerometer for analyzing body movements. J Appl Physiol 1961, 16: 191.
CAS
PubMed
Google Scholar
Dubois AB, Cavagna GA, Fox RS: Locomotion of bluefish. J Exp Zool 1976, 195: 223–235. 10.1002/jez.1401950207
CAS
PubMed
Google Scholar
Sellers WI, Crompton RH: Automatic monitoring of primate locomotor behaviour using accelerometers. Folia Primatologia 2004, 75: 279–293. 10.1159/000078939
CAS
Google Scholar
Mathie MJ, Celler BG, Lovell NH, Coster ACF: Classification of basic daily movements using a triaxial accelerometer. Med Biol Engineer Comp 2004, 42: 679–687. 10.1007/BF02347551
CAS
Google Scholar
Scheibe KM, Schleusner T, Berger A, Eichhorn K, Langbein J, Zotto LD, Streich WJ: ETHOSYS (R)–new system for recording and analysis of behaviour of free-ranging domestic animals and wildlife. Appl Anim Behav Sci 1998, 55: 195–211. 10.1016/S0168-1591(97)00072-5
Google Scholar
Sellers WI, Varley JS, Waters SS: Remote monitoring of locomotion using accelerometers: a pilot study. Folia Primatol 1998, 69: 82–85. 10.1159/000052700
Google Scholar
Yoda K, Sato K, Niizuma Y, Kurita M, Bost CA, Maho YL, Naito Y: Precise monitoring of porpoising behaviour of Adélie penguins determined using acceleration data loggers. J Exp Biol 1999, 202: 3121–3126.
CAS
PubMed
Google Scholar
Davis RW, Fuiman LA, Williams TM, Collier SO, Hagey WP, Kanatous SB, Kohin S, Horning M: Hunting behavior of a marine mammal beneath the Antarctic fast ice. Science 1999, 283: 993–996. 10.1126/science.283.5404.993
CAS
PubMed
Google Scholar
Kemp B, Janssen AJMW, Van Der Kamp B: Body position can be monitored in 3D using miniature accelerometers and earth-magnetic field sensors. Electroencephalogr Clin Neurophysiol 1998, 109: 484–488. 10.1016/S0924-980X(98)00053-8
CAS
PubMed
Google Scholar
Holland RA, Wikelski M, Kümmeth F, Bosque C: The secret life of oilbirds: New insights into the movement ecology of a unique avian frugivore. PLoS ONE 2009, 4: e8264. 10.1371/journal.pone.0008264
PubMed Central
PubMed
Google Scholar
Johnson MP, Tyack PL: A digital acoustic recording tag for measuring the response of wild marine mammals to sound. IEEE J Oceanic Engineer 2003, 28: 3–12. 10.1109/JOE.2002.808212
Google Scholar
Murchie KJ, Cooke SJ, Danylchuk AJ, Suski CD: Estimates of field activity and metabolic rates of bonefish (Albula vulpes) in coastal marine habitats using acoustic tri-axial accelerometer transmitters and intermittent-flow respirometry. J Experiment Marine Biol Ecol 2011, 396: 147–155. 10.1016/j.jembe.2010.10.019
Google Scholar
Sato K, Mitani Y, Cameron MF, Siniff DB, Naito Y: Factors affecting stroking patterns and body angle in diving Weddell seals under natural conditions. J Exp Biol 2003, 206: 1461–1470. 10.1242/jeb.00265
PubMed
Google Scholar
Mitani Y, Andrews RD, Sato K, Kato A, Naito Y, Costa DP: Three-dimensional resting behaviour of northern elephant seals: drifting like a falling leaf. Biol Lett 2010, 6: 163–166. 10.1098/rsbl.2009.0719
PubMed Central
PubMed
Google Scholar
van Oort BEH, Tyler NJC, Storeheier PV, Stokkan K-A: The performance and validation of a data logger for long-term determination of activity in free-ranging reindeer, Rangifer tarandus L. App Anim Behav Sci 2004, 89: 299–308. 10.1016/j.applanim.2004.06.009
Google Scholar
Gervasi V, Brunberg S, Swenson JE: An individual-based method to measure animal activity levels: a test on Brown Bears. Wildlife Soc Bull 2006, 34: 1314–1319. 10.2193/0091-7648(2006)34[1314:AIMTMA]2.0.CO;2
Google Scholar
Sakamoto Y, Kunisaki T, Sawaguchi I, Aoi T, Harashina K, Deguchi Y: A note on daily movement patterns of a female Asiatic black bear (ursus thibetanus) in a suburban area of Iwate prefecture, northeastern Japan. Mammal Study 2009, 34: 165–170. 10.3106/041.034.0306
Google Scholar
Whitney NM, Papastamatiou YP, Holland KN, Lowe CG: Use of an acceleration data logger to measure diel activity patterns in captive whitetip reef sharks, Triaenodon obesus. Aquatic Living Res 2007, 20: 299–305. 10.1051/alr:2008006
Google Scholar
Weimerskirch H, Shaffer SA, Tremblay Y, Costa DP, Gadenne H, Kato A, Ropert-Coudert Y, Sato K, Aurioles D: Species- and sex-specific differences in foraging behaviour and foraging zones in blue-footed and brown boobies in the Gulf of California. Marine Ecol Prog Ser 2009, 391: 267–278.
Google Scholar
Laich AG, Quintana F, Shepard ELC, Wilson RP: Intersexual differences in the diving behaviour of imperial cormorants. J Ornithol 2012, 153: 139–147. 10.1007/s10336-011-0714-1
Google Scholar
Zimmer I, Ropert-Coudert Y, Kato A, Ancel A, Chiaradia A: Does foraging performance change with Age in female little penguins (eudyptula minor)? PLoS ONE 2011,6(1):e16098. 10.1371/journal.pone.0016098
CAS
PubMed Central
PubMed
Google Scholar
Byrnes G, Lim NTL, Yeong C, Spence AJ: Sex differences in the locomotor ecology of a gliding mammal, the Malayan colugo (Galeopterus variegatus). J Mammal 2011, 92: 444–451. 10.1644/10-MAMM-A-048.1
Google Scholar
Le Vaillant M, Wilson RP, Kato A, Saraux C, Hanuise N, Prud’Homme O, Le Maho Y, Le Bohec C, Ropert-Coudert Y: King penguins adjust their diving behaviour with age. J Experiment Biol 2012, 215: 3685–3692. 10.1242/jeb.071175
Google Scholar
Fossette S, Schofield G, Lilley MKS, Gleiss AC, Hays GC: Acceleration data reveal the energy management strategy of a marine ectotherm during reproduction. Functional Ecol 2012, 26: 324–333. 10.1111/j.1365-2435.2011.01960.x
Google Scholar
Kokubun N, Kim JH, Shin HC, Naito Y, Takahashi A: Penguin head movement detected using small accelerometers: a proxy of prey encounter rate. J Experiment Biol 2011, 214: 3760–3767. 10.1242/jeb.058263
Google Scholar
Viviant M, Trites AW, Rosen DAS, Monestiez P, Guinet C: Prey capture attempts can be detected in Steller sea lions and other marine predators using accelerometers. Polar Biol 2010, 33: 713–719. 10.1007/s00300-009-0750-y
Google Scholar
Watanabe S, Izawa M, Kato A, Ropert-Coudert Y, Naito Y: A new technique for monitoring the detailed behaviour of terrestrial animals: a case study with the domestic cat. App Anim Behav Sci 2005, 94: 117–131. 10.1016/j.applanim.2005.01.010
Google Scholar
Nathan R, Spiegel O, Fortmann-Roe S, Harel R, Wikelski M, Getz WM: Using tri-axial acceleration data to identify behavioral modes of free-ranging animals: general concepts and tools illustrated for griffon vultures. J Experiment Biol 2012, 215: 986–996. 10.1242/jeb.058602
Google Scholar
Yoda K, Naito Y, Sato K, Takahashi A, Nishikawa J, Ropert-Coudert Y, Kurita M, Maho YL: A new technique for monitoring the behavior of free-ranging Adélie penguins. J Experiment Biol 2001, 204: 685–690.
CAS
Google Scholar
Kappeler PM, Erkert HG: On the move around the clock: correlates and determinants of cathemeral activity in wild redfronted lemurs ( Eulemur fulvus rufus ). Behavioral Ecol Sociobiol 2003, 54: 359–369. 10.1007/s00265-003-0652-x
Google Scholar
Erkert HG, Kappeler PM: Arrived in the light: diel and seasonal activity patterns in wild Verreaux’s sifakas (Propithecus v. verreaux; Primates: Indriidae). Behavioral Ecol Sociobiol 2004, 57: 174–186. 10.1007/s00265-004-0845-y
Google Scholar
Gilly WF, Zeidberg LD, Booth JAT, Stewart JS, Marshall G, Abernathy K, Bell LE: Locomotion and behavior of Humboldt squid, dosidicus gigas, in relation to natural hypoxia in the gulf of California, Mexico. J Experiment Biol 2012, 215: 3175–3190. 10.1242/jeb.072538
Google Scholar
Baras E, Togola B, Sicard B, Benech V: Behaviour of tigerfish Hydrocynus brevis in the River Niger, Mali, as revealed by simultaneous telemetry of activity and swimming depth. Hydrobiologia 2002, 483: 103–110. 10.1023/A:1021359008246
Google Scholar
Moreau M, Siebert S, Buerkert A, Schlecht E: Use of a tri-axial accelerometer for automated recording and classification of goats’ grazing behaviour. App Anim Behav Sci 2009, 119: 158–170. 10.1016/j.applanim.2009.04.008
Google Scholar
O’Toole AC, Murchie KJ, Pullen C, Hanson KC, Suski CD, Danylchuk AJ, Cooke SJ: Locomotory activity and depth distribution of adult great barracuda (Sphyraena barracuda) in Bahamian coastal habitats determined using acceleration and pressure biotelemetry transmitters. Marine Freshwater Res 2010, 61: 1446–1456. 10.1071/MF10046
Google Scholar
Wilson RP, Quintana F, Hobson VJ: Construction of energy landscapes can clarify the movement and distribution of foraging animals. Proc Roy Soc B-Biol Sci 2012, 279: 975–980. 10.1098/rspb.2011.1544
Google Scholar
Kays R, Jansen PA, Knecht EMH, Vohwinkel R, Wikelski M: The effect of feeding time on dispersal of Virola seeds by toucans determined from GPS tracking and accelerometers. Acta Oecologica-Int J Ecol 2011, 37: 625–631. 10.1016/j.actao.2011.06.007
Google Scholar
Ropert-Coudert Y, Gremillet D, Kato A, Ryan PG, Naito Y, Maho YL: A fine-scale time budget of Cape gannets provides insights into the foraging strategies of coastal seabirds. Anim Behav 2004, 67: 985–992. 10.1016/j.anbehav.2003.09.010
Google Scholar
Rothwell ES, Bercovitch FB, Andrews JRM, Anderson MJ: Estimating daily walking distance of captive African elephants using an accelerometer. Zoo Biol 2011, 30: 579–591. 10.1002/zoo.20364
PubMed
Google Scholar
Takahashi M, Tobey JR, Pisacane CB, Andrus CH: Evaluating the utility of an accelerometer and urinary hormone analysis as indicators of estrus in a Zoo-housed koala ( phascolarctos cinereus ). Zoo Biol 2009, 28: 59–68. 10.1002/zoo.20212
CAS
PubMed
Google Scholar
Thierman JL, Crowe TG, Stookey JM, Valentine B: Quantification of the response of elk during velvet antler removal. Can Agri Engineer 1999, 41: 223–237.
Google Scholar
Berger A, Scheibe K-M, Michaelis S, Streich WJ: Evaluation of living conditions of free-ranging animals by automated chronobiological analysis of behavior. Behav Rese Methods Instr Comp 2003, 35: 458–466. 10.3758/BF03195524
CAS
Google Scholar
Schaer BLD, Ryan CT, Boston RC, Nunamaker DM: The horse-racetrack interface: a preliminary study on the effect of shoeing on impact trauma using a novel wireless data acquisition system. Equine Vet J 2006, 38: 664–670.
PubMed
Google Scholar
Cornou C, Lundbye-Christensen S: Classifying sows’ activity types from acceleration patterns an application of the multi-process kalman filter. App Anim Behav Sci 2008, 111: 262–273. 10.1016/j.applanim.2007.06.021
Google Scholar
White BJ, Coetzee JF, Renter DG, Babcock AH, Thomson DU, Andresen D: Evaluation of two-dimensional accelerometers to monitor behavior of beef calves after castration. Am J Vet Res 2008, 69: 1005–1012. 10.2460/ajvr.69.8.1005
PubMed
Google Scholar
Sullivan EL, Cameron JL: A rapidly occurring compensatory decrease in physical activity counteracts diet-induced weight loss in female monkeys. Am J Physiol Reg Integ Compar Physiol 2010,298(4):R1068-R1074. 10.1152/ajpregu.00617.2009
CAS
Google Scholar
Cooke SJ: Biotelemetry and biologging in endangered species research and animal conservation: relevance to regional, national, and IUCN Red List threat assessments. Endangered Spec Res 2008, 4: 165–185.
Google Scholar
Krone O, Berger A, Schulte R: Recording movement and activity pattern of a white-tailed Sea eagle (haliaeetus albicilla) by a GPS datalogger. J Ornithol 2009, 150: 273–280. 10.1007/s10336-008-0347-1
Google Scholar
Wilson RP, White CR, Quintana F, Halsey LG, Liebsch N, Martin GR, Butler PJ: Moving towards acceleration for estimates of activity-specific metabolic rate in free-living animals: the case of the cormorant. J Anim Ecol 2006, 75: 1081–1090. 10.1111/j.1365-2656.2006.01127.x
PubMed
Google Scholar
Tsuda Y, Kawabe R, Tanaka H, Mitsunaga Y, Hiraishi T, Yamamoto K, Nashimoto K: Monitoring the spawning behaviour of chum salmon with an acceleration data logger. Ecol Freshwater Fish 2006, 15: 264–274. 10.1111/j.1600-0633.2006.00147.x
Google Scholar
Yasuda T, Arai N: Changes in flipper beat frequency, body angle and swimming speed of female green turtles Chelonia mydas . Marine Ecol Progress Ser 2009, 386: 275–286.
Google Scholar
Zimmer I, Ropert-Coudert Y, Poulin N, Kato A, Chiaradia A: Evaluating the relative importance of intrinsic and extrinsic factors on the foraging activity of top predators: a case study on female little penguins. Marine Biol 2011, 158: 715–722. 10.1007/s00227-010-1594-2
Google Scholar
Jensen MB: Behaviour around the time of calving in dairy cows. App Anim Behav Sci 2012, 139: 195–202. 10.1016/j.applanim.2012.04.002
Google Scholar
Whitney NM, Harold LP Jr, Pratt TC, Carrier JC: Identifying shark mating behaviour using three-dimensional acceleration loggers. Endangered Spec Res 2010, 10: 71–82.
Google Scholar
Lagarde F, Guillon M, Dubroca L, Bonnet X, Ben Kaddour K, Slimani T, El Mouden EH: Slowness and acceleration: a new method to quantify the activity budget of chelonians. Anim Behav 2008, 75: 319–329. 10.1016/j.anbehav.2007.01.010
Google Scholar
Ismail A, Rahman F, Miyazaki N, Naito Y: Initial application of bio-logging techniques on captive Milky Stork (Mycteria cinerea) in Malaysia. Trop Ecol 2012, 53: 177–181.
Google Scholar
Rushen J, de Passille AM: Automated measurement of acceleration can detect effects of age, dehorning and weaning on locomotor play of calves. App Anim Behav Sci 2012, 139: 169–174. 10.1016/j.applanim.2012.04.011
Google Scholar
Holland KN, Meyer CG, Dagorn LC: Inter-animal telemetry: results from first deployment of acoustic ‘business card’ tags. Endangered Spec Res 2010, 10: 287–293.
Google Scholar
De Rouffignac C, Morel F: A comparative study of water turnover in 4 rodent species of which 2 are from the desert—Meriones-Shawi rat mouse gerbil. J de Physiologie (Paris) 1966, 58: 309–322.
CAS
Google Scholar
Arnould JPY, Boyd IL, Speakman JR: The relationship between foraging behaviour and energy expenditure in Antarctic fur seals. J Zool (London) 1996, 239: 769–782. 10.1111/j.1469-7998.1996.tb05477.x
Google Scholar
Brown JH, Gillooly JF, Allen AP, Savage VM, West GB: Toward a metabolic theory of ecology. Ecology 2004, 85: 1771–1789. 10.1890/03-9000
Google Scholar
Altmann S, Altmann J: The transformation of behaviour field studies. Anim Behav 2003, 65: 413–423. 10.1006/anbe.2003.2115
Google Scholar
Speakman JR: Doubly Labelled Water: Theory and Practice. Cambridge: Cambridge University Press; 1997.
Google Scholar
Butler PJ, Green JA, Boyd IL, Speakman JR: Measuring metabolic rate in the field: the pros and cons of the doubly labelled water and heart rate methods. Functional Ecol 2004, 18: 168–183. 10.1111/j.0269-8463.2004.00821.x
Google Scholar
Ropert-Coudert Y, Wilson RP: Trends and perspectives in animal-attached remote sensing. Front Ecol Environ 2005, 3: 437–444. 10.1890/1540-9295(2005)003[0437:TAPIAR]2.0.CO;2
Google Scholar
Hindle AG, Rosen DAS, Trites AW: Swimming depth and ocean currents affect transit costs in Steller sea lions Eumetopias jubatus. Aqua Biol 2010, 10: 139–148. 10.3354/ab00279
Google Scholar
Fahlman A, Wilson R, Svard C, Rosen DAS, Trites AW: Activity and diving metabolism correlate in Steller sea lion Eumetopias jubatus. Aqua Biol 2008, 2: 75–84.
Google Scholar
Halsey LG, White CR, Enstipp MR, Wilson RP, Butler PJ, Martin GR, Gremillet D, Jones DR: Assessing the validity of the accelerometry technique for estimating the energy expenditure of diving double-crested cormorants phalacrocorax auritus. Physiol Biochem Zool 2011, 84: 230–237. 10.1086/658636
CAS
PubMed
Google Scholar
Wilson RP, Shepard ELC, Laich AG, Frere E, Quintana F: Pedalling downhill and freewheeling up; a penguin perspective on foraging. Aqua Biol 2010, 8: 193–202.
Google Scholar
Shepard ELC, Wilson RP, Quintana F, Laich AGM, Forman DW: Pushed for time or saving on fuel: fine-scale energy budgets shed light on currencies in a diving bird. Proc R Soc Ser B Biol Sci 2009, 276: 3149–3155. 10.1098/rspb.2009.0683
Google Scholar
Shepard ELC, Wilson RP, Laich AG, Quintana F: Buoyed up and slowed down: speed limits for diving birds in shallow water. Aqua Biol 2010, 8: 259–267.
Google Scholar
Gleiss AC, Norman B, Wilson RP: Moved by that sinking feeling: variable diving geometry underlies movement strategies in whale sharks. Functional Ecol 2011, 25: 595–607. 10.1111/j.1365-2435.2010.01801.x
Google Scholar
Gleiss AC, Dale JJ, Holland KN, Wilson RP: Accelerating estimates of activity-specific metabolic rate in fishes: testing the applicability of acceleration data-loggers. J Experiment Marine Biol Ecol 2010, 385: 85–91. 10.1016/j.jembe.2010.01.012
Google Scholar
Fossette S, Gleiss AC, Myers AE, Garner S, Liebsch N, Whitney NM, Hays GC, Wilson RP, Lutcavage ME: Behaviour and buoyancy regulation in the deepest-diving reptile: the leatherback turtle. J Experiment Biol 2010, 213: 4074–4083. 10.1242/jeb.048207
Google Scholar
Enstipp MR, Ciccione S, Gineste B, Milbergue M, Ballorain K, Ropert-Coudert Y, Kato A, Plot V, Georges JY: Energy expenditure of freely swimming adult green turtles (Chelonia mydas) and its link with body acceleration. J Experiment Biol 2011, 214: 4010–4020. 10.1242/jeb.062943
Google Scholar
Halsey LG, Jones TT, Jones DR, Liebsch N, Booth DT: Measuring energy expenditure in Sub-adult and hatchling Sea turtles via accelerometry. PLoS ONE 2011, 6: e22311. 10.1371/journal.pone.0022311
CAS
PubMed Central
PubMed
Google Scholar
Robson AA, Chauvaud L, Wilson RP, Halsey LG: Small actions, big costs: the behavioural energetics of a commercially important invertebrate. J R Soc Interface 2012, 9: 1486–1498. 10.1098/rsif.2011.0713
CAS
PubMed Central
PubMed
Google Scholar
Halsey LG, Shepard ELC, Quintana F, Gomez Laich A, Green JA, Wilson RP: The relationship between oxygen consumption and body acceleration in a range of species. Compar Biochemi Physiol Part A Mole Integr Physiol 2009, 152: 197–202. 10.1016/j.cbpa.2008.09.021
CAS
Google Scholar
Green JA, Halsey LG, Wilson RP, Frappell PB: Estimating energy expenditure of animals using the accelerometry technique: activity, inactivity and comparison with the heart-rate technique. J Exp Biol 2009, 212: 471–482. 10.1242/jeb.026377
CAS
PubMed
Google Scholar
Halsey LG, Portugal SJ, Smith JA, Murn CP, Wilson RP: Recording raptor behavior on the wing via accelerometry. J Field Ornithol 2009, 80: 171–177. 10.1111/j.1557-9263.2009.00219.x
Google Scholar
Halsey LG, White CR: Measuring energetics and behaviour using accelerometry in cane toads bufo marinus. PLoS ONE 2010,5(4):e10170. 10.1371/journal.pone.0010170
PubMed Central
PubMed
Google Scholar
Halsey LG, Shepard ELC, Wilson RP: Assessing the development and application of the accelerometry technique for estimating energy expenditure. Compar Biochem Physiol Mole Integr Physiol 2011, 158: 305–314. 10.1016/j.cbpa.2010.09.002
Google Scholar
Shepard ELC, Wilson RP, Halsey LG, Quintana F, Gomez Laich A, Gleiss AC, Liebsch N, Myers AE, Norman B: Derivation of body motion via appropriate smoothing of acceleration data. Aqua Biol 2009, 4: 235–241.
Google Scholar
Qasem L, Cardew A, Wilson A, Griffiths I, Halsey LG, Shepard ELC, Gleiss AC, Wilson R: Tri-axial dynamic acceleration as a proxy for animal energy expenditure; should we be summing values or calculating the vector? PLoS ONE 2012,7(2):e31187. 10.1371/journal.pone.0031187
CAS
PubMed Central
PubMed
Google Scholar
Leleu C, Bariller F, Cotrel C, Barrey E: Reproducibility of a locomotor test for trotter horses. Vet J 2004, 168: 160–166. 10.1016/S1090-0233(03)00109-6
CAS
PubMed
Google Scholar
Leleu C, Cotrel C, Barrey E: Relationships between biomechanical variables and race performance in French Standard bred trotters. Livestock Prod Sci 2005, 92: 39–46. 10.1016/j.livprodsci.2004.07.019
Google Scholar
Witte TH, Knill K, Wilson AM: Determination of peak vertical ground reaction force from duty factor in the horse (Equus caballus). J Experiment Biol 2004, 207: 3639–3648. 10.1242/jeb.01182
CAS
Google Scholar
Ratzlaff MH, Wilson PD, Hutton DV, Slinker BK: Relationships between hoof-acceleration patterns of galloping horses and dynamic properties of the track. Am J Vet Res 2005, 66: 589–595. 10.2460/ajvr.2005.66.589
PubMed
Google Scholar
Cottin F, Metayer N, Goachet AG, Julliand V, Slawinski J, Billat V, Barrey E: Oxygen consumption and gait variables of Arabian endurance horses measured during a field exercise test. Equine Vet J 2010, 42: 1–5.
Google Scholar
Brischoux F, Kato A, Ropert-Coudert Y, Shine R: Swimming speed variation in amphibious seasnakes (laticaudinae): a search for underlying mechanisms. J Experiment Marine Biol Ecol 2010, 394: 116–122. 10.1016/j.jembe.2010.08.001
Google Scholar
Sato K, Sakamoto KQ, Watanuki Y, Takahashi A, Katsumata N, Bost C-A, Weimerskirch H: Scaling of soaring seabirds and implications for flight abilities of giant pterosaurs. PLoS ONE 2009,4(4):e5400. 10.1371/journal.pone.0005400
PubMed Central
PubMed
Google Scholar
Hoyt DF, Wickler SJ, Cogger EA, Goehring ME: A reexamination of the trot-gallop transition: insights from the study of locomotion on an incline. Am Zool 2000, 40: 1066.
Google Scholar
Tanaka H, Takagi Y, Naito Y: Swimming speeds and buoyancy compensation of migrating adult chum salmon Oncorhynchus keta revealed by speed/depth/acceleration data logger. J Experiment Biol 2001, 204: 3895–3904.
CAS
Google Scholar
Ropert-Coudert Y, Kato A, Wilson RP, Cannell B: Foraging strategies and prey encounter rate of free-ranging Little Penguins. Marine Biol (Berlin) 2006, 149: 139–148. 10.1007/s00227-005-0188-x
Google Scholar
Sato K, Watanuki Y, Takahashi A, Miller PJO, Tanaka H, Kawabe R, Ponganis PJ, Handrich Y, Akamatsu T, Watanabe Y, Mitani Y, Costa DP, Bost CA, Aoki K, Amano M, Trathan P, Shapiro A, Naito Y: Stroke frequency, but not swimming speed, is related to body size in free-ranging seabirds, pinnipeds and cetaceans. Proc R Soc Series B Biol Sci 2007, 274: 471–477. 10.1098/rspb.2006.0005
Google Scholar
Hindle AG, Young BL, Rosen DAS, Haulena M, Trites AW: Dive response differs between shallow- and deep-diving Steller sea lions (Eumetopias jubatus). J Experiment Marine Biol Ecol 2010, 394: 141–148. 10.1016/j.jembe.2010.08.006
Google Scholar
Kato A, Ropert-Coudert Y, Gremillet D, Cannell B: Locomotion and foraging strategy in foot-propelled and wing-propelled shallow-diving seabirds. Marine Ecol Prog Series 2006, 308: 293–301.
Google Scholar
Watanuki Y, Wanless S, Harris M, Lovvorn JR, Miyazaki M, Tanaka H, Sato K: Swim speeds and stroke patterns in wing-propelled divers: a comparison among alcids and a penguin. J Experiment Biol 2006, 209: 1217–1230. 10.1242/jeb.02128
Google Scholar
Kawabe R, Nashimoto K, Hiraishi T, Naito Y, Sato K: A new device for monitoring the activity of freely swimming flatfish, Japanese flounder Paralichthys olivaceus . Fisheries Sci 2003, 69: 3–10. 10.1046/j.1444-2906.2003.00581.x
CAS
Google Scholar
Williams TM, Davis RW, Fuiman LA, Francis J, Le Boeuf BL, Horning M, Calambokidis J, Croll DA: Sink or swim: strategies for cost-efficient diving by marine mammals. Science 2000, 288: 133–136. 10.1126/science.288.5463.133
CAS
PubMed
Google Scholar
Goldbogen JA, Calambokidis J, Shadwick RE, Oleson EM, McDonald MA, Hildebrand JA: Kinematics of foraging dives and lunge-feeding in fin whales. J Experiment Biol 2006, 209: 1231–1244. 10.1242/jeb.02135
Google Scholar
Arai N, Kuroki M, Sakamoto W, Naito Y: Analysis of diving behavior of Adélie penguins using acceleration data logger. Polar Biosci 2000, 13: 95–100.
Google Scholar
Watanuki Y, Takahashi A, Daunt F, Wanless S, Harris M, Sato K, Naito Y: Regulation of stroke and glide in a foot-propelled avian diver. J Experiment Biol 2005, 208: 2207–2216. 10.1242/jeb.01639
Google Scholar
Soltis J, Wilson RP, Douglas-Hamilton I, Vollrath F, King LE, Savage A: Accelerometers in collars identify behavioral states in captive African elephants Loxodonta africana . Endangered Species Res 2012, 18: 255–263. 10.3354/esr00452
Google Scholar
Green JA, White CR, Bunce A, Frappell PB, Butler PJ: Energetic consequences of plunge diving in gannets. Endangered Species Res 2009, 10: 269–279.
Google Scholar
Fossette S, Gaspar P, Handrich Y, Le Maho Y, Georges J-Y: Dive and beak movement patterns in leatherback turtles Dermochelys coriacea during internesting intervals in French Guiana. J Anim Ecol 2008, 77: 236–246. 10.1111/j.1365-2656.2007.01344.x
PubMed
Google Scholar
Gleiss AC, Wilson RP, Shepard ELC: Making overall dynamic body acceleration work: on the theory of acceleration as a proxy for energy expenditure. Methods Ecol Evol 2011, 2: 23–33. 10.1111/j.2041-210X.2010.00057.x
Google Scholar
Kays R, Tilak S, Crofoot MC, Fountain T, Obando D, Ortega A, Kuemmeth F, Mandel J, Swenson G, Lambert T, Hirsch B, Wikelski M: Tracking animal location and activity with an automated radio telemetry system in a tropical rainforest. Comp J 2011,54(12):1931–1948. 10.1093/comjnl/bxr072
Google Scholar
Shiomi K, Sato K, Ponganis PJ: Point of no return in diving emperor penguins: is the timing of the decision to return limited by the number of strokes? J Experiment Biol 2012, 215: 135–140. 10.1242/jeb.064568
Google Scholar
Ropert-Coudert Y, Wilson RP: Subjectivity in bio-logging science: do logged data mislead? Memoirs Nat Inst Polar Res 2004, 58: 23–33.
Google Scholar
Bidder OR, Soresina M, Shepard EL, Halsey LG, Quintana F, Gomez Laich A, Wilson RP: The need for speed: testing acceleration for estimating animal travel rates in terrestrial dead-reckoning systems. Zoology 2012, 115: 58–64. 10.1016/j.zool.2011.09.003
PubMed
Google Scholar
Tobler MW: New GPS technology improves fix success for large mammal collars in dense tropical forests. J Trop Ecol 2009, 25: 217–221. 10.1017/S0266467409005811
Google Scholar
Narazaki T, Sato K, Abernathy KJ, Marshall GJ, Miyazaki N: Sea turtles compensate deflection of heading at the sea surface during directional travel. J Experiment Biol 2009, 212: 4019–4026. 10.1242/jeb.034637
CAS
Google Scholar
Wilson RP, Liebsch N, Davies IM, Quintana F, Weimerskirch H, Storch S, Lucke K, Siebert U, Zankl S, Müller G, Zimmer I, Scolaro A, Campagna C, Plötz J, Bornemann H, Teilmann J, McMahon CR: All at sea with animal tracks; methodological and analytical solutions for the resolution of movement. Deep Sea Res Part II Topic Stud Oceanogr 2007, 54: 193–210. 10.1016/j.dsr2.2006.11.017
Google Scholar
Shiomi K, Sato K, Mitamura H, Arai N, Naito Y, Ponganis PJ: Effect of ocean current on the dead-reckoning estimation of 3-D dive paths of emperor penguins. Aqua Biol 2008, 3: 265–270.
Google Scholar
Shiomi K, Narazaki T, Sato K, Shimatani K, Arai N, Ponganis PJ, Miyazaki N: Data-processing artefacts in three-dimensional dive path reconstruction from geomagnetic and acceleration data. Aqua Biol 2010, 8: 299–304.
Google Scholar
Houghton JDR, Liebsch N, Doyle TK, Gleiss AC, Lilley MKS, Wilson RP, Hays GC: Harnessing the sun: testing a novel attachment method to record fine scale movements in ocean sunfish (mola mola). In Tagging and Tracking of Marine Animals with Electronic Devices. New York: Springer: Nielsen JL, Arrizabalaga H, Fragoso N, Hobday A, Lutcavage M, Sibert J (Eds.); 2009:229–242.
Google Scholar
de Passillé AM, Jensen MB, Chapinal N, Rushen J: Use of accelerometers to describe gait patterns in dairy calves. J Dairy Sci 2010, 93: 3287–3293. 10.3168/jds.2009-2758
PubMed
Google Scholar
Gleiss AC, Norman B, Liebsch N, Francis C, Wilson RP: A new prospect for tagging large free-swimming sharks with motion-sensitive data-loggers. Fisheries Res (Amsterdam) 2009, 97: 11–16. 10.1016/j.fishres.2008.12.012
Google Scholar
Signer C, Ruf T, Schober F, Fluch G, Paumann T, Arnold W: A versatile telemetry system for continuous measurement of heart rate, body temperature and locomotor activity in free-ranging ruminants. Methods Ecol Evol 2010, 1: 75–85. 10.1111/j.2041-210X.2009.00010.x
PubMed Central
PubMed
Google Scholar
Watanabe N, Sakanoue S, Kawamura K, Kozakai T: Development of an automatic classification system for eating, ruminating and resting behavior of cattle using an accelerometer. Grassland Sci 2008, 54: 231–237. 10.1111/j.1744-697X.2008.00126.x
Google Scholar
Ledgerwood DN, Winckler C, Tucker CB: Evaluation of data loggers, sampling intervals, and editing techniques for measuring the lying behavior of dairy cattle. J Dairy Sci 2010, 93: 5129–5139. 10.3168/jds.2009-2945
CAS
PubMed
Google Scholar
Keegan KG, Kramer J, Yonezawa Y, Maki H, Pai PF, Dent EV, Kellerman TE, Wilson DA, Reed SK: Assessment of repeatability of a wireless, inertial sensor-based lameness evaluation system for horses. Am J Vet Res 2011, 72: 1156–1163. 10.2460/ajvr.72.9.1156
PubMed
Google Scholar
Preston T, Baltzer W, Trost S: Accelerometer validity and placement for detection of changes in physical activity in dogs under controlled conditions on a treadmill. Res Vet Sci 2012, 93: 412–416. 10.1016/j.rvsc.2011.08.005
PubMed
Google Scholar
Okuyama J, Kawabata Y, Naito Y, Arai N, Kobayashi M: Monitoring beak movements with an acceleration datalogger: a useful technique for assessing the feeding and breathing behaviors of sea turtles. Endangered Species Res 2009, 10: 39–45.
Google Scholar
Suzuki I, Naito Y, Folkow LP, Miyazaki N, Blix AS: Validation of a device for accurate timing of feeding events in marine animals. Polar Biol 2009, 32: 667–671. 10.1007/s00300-009-0596-3
Google Scholar
Skinner JP, Norberg SE, Andrews RD: Head striking during fish capture attempts by Steller sea lions and the potential for using head surge acceleration to predict feeding behavior. Endangered Species Res 2010, 10: 61–69.
Google Scholar
Iwata T, Sakamoto KQ, Takahashi A, Edwards EWJ, Staniland IJ, Trathan PN, Naito Y: Using a mandible accelerometer to study fine-scale foraging behavior of free-ranging Antarctic fur seals. Marine Mammal Sci 2012, 28: 345–357. 10.1111/j.1748-7692.2011.00482.x
Google Scholar
Sato K, Daunt F, Watanuki Y, Takahashi A, Wanless S: A new method to quantify prey acquisition in diving seabirds using wing stroke frequency. J Experiment Biol 2008, 211: 58–65. 10.1242/jeb.009811
Google Scholar
Robert B, White BJ, Renter DG, Larson RL: Evaluation of three-dimensional accelerometers to monitor and classify behavior patterns in cattle. Comp Electron Agri 2009, 67: 80–84. 10.1016/j.compag.2009.03.002
Google Scholar
Halsey LG, Shepard ELC, Hulston CJ, Venables MC, White CR, Jeukendrup AE, Wilson RP: Acceleration versus heart rate for estimating energy expenditure and speed during locomotion in animals: tests with an easy model species, Homo sapiens. Zoology 2008, 111: 231–241. 10.1016/j.zool.2007.07.011
PubMed
Google Scholar
Gleiss AC, Gruber SH, Wilson RP: Multi-channel data-logging: towards determination of behaviour and metabolic rate in free-swimming sharks. In Tagging and Tracking of Marine Animals with Electronic Devices. New York: Springer: Nielsen JL, Arrizabalaga H, Fragoso N, Hobday A, Lutcavage M, Sibert J; 2009:211–228.
Google Scholar
Scheibe KM, Gromann C: Application testing of a new three-dimensional acceleration measuring system with wireless data transfer (WAS) for behavior analysis. Behav Res Methods 2006, 38: 427–433. 10.3758/BF03192796
PubMed
Google Scholar
Yost M, Cooper RA, Bremner FJ: Fourier analyses: a mathematical and geometric explanation. Behav Res Methods Inst 1983, 15: 258–261. 10.3758/BF03203558
Google Scholar
Watanabe S, Sato K, Ponganis PJ: Activity time budget during foraging trips of emperor penguins. PLoS ONE 2012,7(11):e50357. 10.1371/journal.pone.0050357
CAS
PubMed Central
PubMed
Google Scholar
Sakamoto KQ, Sato K, Ishizuka M, Watanuki Y, Takahashi A, Daunt F, Wanless S: Can ethograms be automatically generated using body acceleration data from free-ranging birds? PLoS ONE 2009,4(4):e5379. 10.1371/journal.pone.0005379
PubMed Central
PubMed
Google Scholar
Martiskainen P, Järvinen M, Skön J-P, Tiirikainen J, Kolehmainen M, Mononen J: Cow behaviour pattern recognition using a three-dimensional accelerometer and support vector machines. App Anim Behav Sci 2009, 119: 32–38. 10.1016/j.applanim.2009.03.005
Google Scholar
Gao L, CAmpbell HA, Bidder OR, Hunter J: A Web-based semantic tagging and activity recognition system for species’ accelerometry data. Ecological Info 2012, 13: 47–56.
Google Scholar
Kaplan HL: Correlations, contrasts, and components: Fourier analysis in a more familiar terminology. Behav Res Methods Inst 1983, 15: 228–241. 10.3758/BF03203554
Google Scholar
Hart T, Mann R, Coulson T, Pettorelli N, Trathan P: Behavioural switching in a central place forager: patterns of diving behaviour in the macaroni penguin (Eudyptes chrysolophus). Marine Biol 2010, 157: 1543–1553. 10.1007/s00227-010-1428-2
Google Scholar
Jule KR, Lea SEG, Leaver L: Using a behaviour discovery curve to predict optimal observation time. Behaviour 2009, 146: 1531–1542. 10.1163/156853909X447775
Google Scholar
Grundy E, Jones MW, Laramee RS, Wilson RP, Shepard ELC: Visualisation of sensor data from animal movement. IEEE-VGTC Symposium Visual 2009, 28: 815–822.
Google Scholar
Ropert-Coudert Y, Gremillet D, Ryan P, Kato A, Naito Y, Le Maho Y: Between air and water: the plunge dive of the cape gannet morus capensis. Ibis 2004, 146: 281–290.
Google Scholar
Nadimi ES, Sogaard HT, Bak T: ZigBee-based wireless sensor networks for classifying the behaviour of a herd of animals using classification trees. Biosystems Engineer 2008, 100: 167–176. 10.1016/j.biosystemseng.2008.03.003
Google Scholar