Wakefield ED, Phillips RA, Matthiopoulos J. Quantifying habitat use and preferences of pelagic seabirds using individual movement data: a review. Mar Ecol Prog Ser. 2009;391:165–82.
Hindell MA, Reisinger RR, Ropert-Coudert Y, Hückstädt LA, Trathan PN, Bornemann H, et al. Tracking of marine predators to protect Southern Ocean ecosystems. Nat Springer US. 2020;580:87–92.
Hentati-Sundberg J, Olin AB, Evans TJ, Isaksson N, Berglund PA, Olsson O. A mechanistic framework to inform the spatial management of conflicting fisheries and top predators. J Appl Ecol. 2021;58:125–34.
Carneiro APB, Dias MP, Oppel S, Pearmain EJ, Clark BL, Wood AG, et al. Integrating immersion with GPS data improves behavioural classification for wandering albatrosses and shows scavenging behind fishing vessels mirrors natural foraging. Anim Conserv. 2022;25:627–37.
Weimerskirch H. Are seabirds foraging for unpredictable resources? Deep Res Part II Top Stud Oceanogr. 2007;54:211–23.
Reisinger R, Raymond B, Hindell MA, Bester MN, Crawford RJM, Davies D, et al. Habitat modelling of tracking data from multiple marine predators identifies important areas in the Southern Indian Ocean. Divers Distrib. 2018;24:535–50.
Carpenter-Kling T, Reisinger RR, Orgeret F, Connan M, Stevens KL, Ryan PG, et al. Foraging in a dynamic environment: response of four sympatric sub-antarctic albatross species to interannual environmental variability. Ecol Evol. 2020;10:11277–95.
Phillips RA, Croxall JP, Silk JRDD, Briggs DR. Foraging ecology of albatrosses and petrels from South Georgia: two decades of insights from tracking technologies. Aquat Conserv Mar Freshw Ecosyst. John Wiley & Sons, Ltd.; 2008;17:S6–21.
Weimerskirch H, Cherel Y, Delord K, Jaeger A, Patrick SC, Riotte-Lambert L. Lifetime foraging patterns of the wandering albatross: life on the move! J exp Mar Bio Ecol. Elsevier B V. 2014;450:68–78.
Weimerskirch H. How can a pelagic seabird provision its chick when relying on a distant food resource? Cyclic attendance at the colony, foraging decision and body condition in sooty shearwaters. J Anim Ecol. 1998;67:99–109.
Einoder LD, Page B, Goldsworthy SD, De Little SC, Bradshaw CJA. Exploitation of distant Antarctic waters and close neritic waters by short-tailed shearwaters breeding in South Australia. Austral Ecol. 2011;36:461–75.
Cleeland JB, Lea M-A, Hindell MA. Use of the Southern Ocean by breeding short-tailed shearwaters (Puffinus tenuirostris). J exp Mar Bio Ecol. Elsevier B V. 2014;450:109–17.
Schoombie S, Dilley BJ, Davies D, Ryan PG. The foraging range of great shearwaters (Ardenna gravis) breeding on Gough Island. Polar Biol. 2018;41:2451–8.
Croxall JP, Butchart SHM, Lascelles B, Stattersfield AJ, Sullivan B, Symes A, et al. Seabird conservation status, threats and priority actions: a global assessment. Bird Conserv Int. 2012;22:1–34.
Cooke SJ. Biotelemetry and biologging in endangered species research and animal conservation: relevance to regional, national, and IUCN Red List threat assessments. Endanger Species Res. 2008;4:165–85.
Kooyman GL. Genesis and evolution of bio-logging devices: 1963–2002. Mem Natl Inst Polar Res Spec Issue. 2004;58:15–22.
Wilson RP, Vandenabeele SP. Technological innovation in archival tags used in seabird research. Mar Ecol Prog Ser. 2012;451:245–62.
Cooke SJ, Hinch SG, Wikelski M, Andrews RD, Kuchel LJ, Wolcott TG, et al. Biotelemetry: a mechanistic approach to ecology. Trends Ecol Evol. 2004;19:334–43.
Hooker SK, Whitehead H, Gowans S, Baird RW. Fluctuations in distribution and patterns of individual range use of northern bottlenose whales. Mar Ecol Prog Ser. 2002;225:287–97.
Tremblay Y, Bertrand S, Henry RW, Kappes MA, Costa DP, Shaffer SA. Analytical approaches to investigating seabird-environment interactions: a review. Mar Ecol Prog Ser. 2009;391:153–63.
Fritz HH, Said S, Weimerskirch H. Scale-dependent hierarchical adjustments of movement patterns in a long-range foraging seabird. Proc R Soc Lond B. 2003;270:1143–8.
Ryan PG, Petersen SL, Peters G, Grémillet D. GPS tracking a marine predator: the effects of precision, resolution and sampling rate on foraging tracks of African penguins. Mar Biol. 2004;145:215–23.
Morris G, Conner LM. Assessment of accuracy, fix success rate, and use of estimated horizontal position error (EHPE) to filter inaccurate data collected by a common commercially available GPS logger. PLoS ONE. 2017;12:1–12.
Forin-Wiart MA, Hubert P, Sirguey P, Poulle ML. Performance and accuracy of lightweight and low-cost GPS data loggers according to antenna positions, fix intervals, habitats and animal movements. PLoS ONE. 2015;10:1–21.
Hebblewhite M, Haydon DT. Distinguishing technology from biology: a critical review of the use of GPS telemetry data in ecology. Philos Trans R Soc B Biol Sci. 2010;365:2303–12.
Tomkiewicz SM, Fuller MR, Kie JG, Bates KK. Global positioning system and associated technologies in animal behaviour and ecological research. Philos Trans R Soc B Biol Sci. 2010;365:2163–76.
Orben RA, O’Connor AJ, Suryan RM, Ozaki K, Sato F, Deguchi T. Ontogenetic changes in at-sea distributions of immature short-tailed albatrosses Phoebastria albatrus. Endanger Species Res. 2018;35:23–37.
Patterson TA, Thomas L, Wilcox C, Ovaskainen O, Matthiopoulos J. State-space models of individual animal movement. Trends Ecol Evol. 2008;23:87–94.
Edelhoff H, Signer J, Balkenhol N. Path segmentation for beginners: an overview of current methods for detecting changes in animal movement patterns. Mov Ecol Mov Ecol; 2016;4.
Bennison A, Bearhop S, Bodey TW, Votier SC, Grecian WJ, Wakefield ED, et al. Search and foraging behaviors from movement data: a comparison of methods. Ecol Evol. 2018;8:13–24.
Dean B, Freeman R, Kirk H, Leonard K, Phillips RA, Perrins CM, et al. Behavioural mapping of a pelagic seabird: combining multiple sensors and a hidden Markov model reveals the distribution of at-sea behaviour. J R Soc Interface. 2013;10:20120570.
Thiebault A, Tremblay Y. Splitting animal trajectories into fine-scale behaviorally consistent movement units: breaking points relate to external stimuli in a foraging seabird. Behav Ecol Sociobiol. 2013;67:1013–26.
Auger-Méthé M, Field C, Albertsen CM, Derocher AE, Lewis MA, Jonsen ID, et al. State-space models’ dirty little secrets: even simple linear gaussian models can have estimation problems. Sci Rep Nat Publishing Group. 2016;6:1–10.
Fauchald P, Erikstad KE, Skarsfjord H. Scale-dependent predator-prey interactions: the hierarchical spatial distribution of seabirds and prey. Ecology. 2000;81:773–83.
Spear LB, Ainley DG. Flight speed of seabirds in relation to wind speed and direction. Ibis (Lond 1859). 1997;139:234–51.
Tarroux A, Weimerskirch H, Wang SH, Bromwich DH, Cherel Y, Kato A, et al. Flexible flight response to challenging wind conditions in a commuting Antarctic seabird: do you catch the drift? Anim Behav. 2016;113:99–112.
Johnson DD, Ganskopp DC. GPS collar sampling frequency: effects on measures of resource use. Rangel Ecol Manag Elsevier. 2008;61:226–31.
Van de Ropert-Coudert Y, Reisinger RR, Bornemann H, Charrassin J-B, Costa DP, et al. The retrospective analysis of Antarctic tracking data project. Sci Data. 2020;7:1–11.
Birdlife International. Tracking ocean wanderers: the global distribution of albatrosses and petrels. Results from Glob. Procellariiform Track. Work. 1–5 Sept. 2003, Gordon’s Bay, South Africa. Cambridge, UK: BirdLife International; 2004.
Dias MP, Oppel S, Bond AL, Carneiro APB, Cuthbert RJ, González-Solís J, et al. Using globally threatened pelagic birds to identify priority sites for marine conservation in the South Atlantic Ocean. Biol Conserv. 2017;211:76–84.
Carneiro APBB, Pearmain EJ, Oppel S, Clay TA, Phillips RA, Bonnet-Lebrun AS, et al. A framework for mapping the distribution of seabirds by integrating tracking, demography and phenology. J Appl Ecol. 2020;57:514–25.
Weimerskirch H, Pinaud D, Pawlowski F, Bost C-A. Does prey capture induce area-restricted search? A fine‐scale study using GPS in a marine predator, the Wandering Albatross. Am Nat. 2007;170:734–43.
Nevitt GA, Losekoot M, Weimerskirch H. Evidence for olfactory search in wandering albatross, Diomedea exulans. Proc Natl Acad Sci USA. 2008;105:4576–81.
Torres LG, Thompson DR, Bearhop S, Votier S, Taylor GA, Sagar PM, et al. White-capped albatrosses alter fine-scale foraging behavior patterns when associated with fishing vessels. Mar Ecol Prog Ser. 2011;428:289–301.
Clay TA, Joo R, Weimerskirch H, Phillips RA, den Ouden O, Basille M, et al. Sex-specific effects of wind on the flight decisions of a sexually dimorphic soaring bird. J Anim Ecol. 2020;89:1811–23.
Pereira JM, Paiva VH, Phillips RA, Xavier JC. The devil is in the detail: small-scale sexual segregation despite large-scale spatial overlap in the wandering albatross. Mar Biol. 2018;165:55.
Wakefield ED, Phillips RA, Jason M, Akira F, Hiroyoshi H, Marshall GJ, et al. Wind field and sex constrain the flight speeds of central-place foraging albatrosses. Ecol Monogr. 2009;79:663–79.
Noonan MJ, Fleming CH, Akre TS, Drescher-Lehman J, Gurarie E, Harrison AL, et al. Scale-insensitive estimation of speed and distance traveled from animal tracking data. Mov Ecol Mov Ecol. 2019;7:1–15.
Klarevas-Irby JA, Farine DR. Diel patterns of movement reveal temporal strategies during dispersal. Anim Behav Authors. 2024;207:119–29.
Halsey LG, Green JA, Wilson R, Frappell PB. Accelerometry to estimate energy expenditure during activity: best practice with data loggers. Physiol Biochem Zool. 2009;82:396–404.
Postlethwaite CM, Dennis TE. Effects of temporal resolution on an inferential model of animal movement. PLoS ONE. 2013;8:e57640.
He P, Klarevas-Irby JA, Papageorgiou D, Christensen C, Strauss ED, Farine DR. A guide to sampling design for GPS-based studies of animal societies. Methods Ecol Evol. 2023;14:1887–905.
Bouten W, Baaij EW, Shamoun-Baranes J, Camphuysen KCJ. A flexible GPS tracking system for studying bird behaviour at multiple scales. J Ornithol. 2013;154:571–80.
Dewhirst OP, Evans HK, Roskilly K, Harvey RJ, Hubel TY, Wilson AM. Improving the accuracy of estimates of animal path and travel distance using GPS drift-corrected dead reckoning. Ecol Evol. 2016;6:6210–22.
Phillips RA, Xavier JC, Croxall JP. Effects of satellite transmitters on albatrosses and petrels. Auk. 2003;120:1082–90.
Cagnacci F, Boitani L, Powell RA, Boyce MS. Animal ecology meets GPS-based radiotelemetry: a perfect storm of opportunities and challenges. Philos Trans R Soc B Biol Sci. 2010;365:2157–62.
Johnson LR, Boersch-Supan PH, Phillips RA, Ryan SJ. Changing measurements or changing movements? Sampling scale and movement model identifiability across generations of biologging technology. Ecol Evol. 2017;7:9257–66.
Mitchell LJ, White PCL, Arnold KE. The trade-off between fix rate and tracking duration on estimates of home range size and habitat selection for small vertebrates. PLoS ONE. 2019;14:e0219357.
Ranacher P, Brunauer R, Van der Trutschnig W, Reich S. Why GPS makes distances bigger than they are. Int J Geogr Inf Sci. 2016;30:316–33.
Ranacher P, Van Der Brunauer R, Reich S. What is an appropriate temporal sampling rate to record floating car data with a GPS? ISPRS Int J Geo-Information. 2016;5:1–17.
Tickell WLN. Albatrosses. Sussex: Pica; 2000.
Biol M, Vandenabeele SP, Shepard EL, Grogan A, Wilson RP. When three per cent may not be three per cent; device-equipped seabirds experience variable flight constraints. Mar Biol. 2012;159:1–14.
Bruton AM, Glennie CL, Schwarz KP. Differentiation for High-Precision GPS velocity and acceleration determination. GPS Solut. 1999;2:7–21.
Safi K, Kranstauber B, Weinzierl R, Griffin L, Rees EC, Cabot D, et al. Flying with the wind: Scale dependency of speed and direction measurements in modelling wind support in avian flight. Mov Ecol. 2013;1:1–13.
Calenge C. The package adehabitat for the R software: a tool for the analysis of space and habitat use by animals. Ecol Modell. 2006;197:516–9.
Tremblay Y, Shaffer SA, Fowler SL, Kuhn CE, McDonald BI, Weise MJ, et al. Interpolation of animal tracking data in a fluid environment. J Exp Biol. 2006;209:128–40.
Visser I, Speekenbrink M. depmixS4: an R package for hidden markov models. J Stat Softw. 2010;36:1–21.
Kie JG. A rule-based ad hoc method for selecting a bandwidth in kernel home-range analyses. Anim Biotelemetry. 2013;1:13.
Silva I, Fleming CH, Noonan MJ, Alston J, Folta C, Fagan WF, et al. Autocorrelation-informed home range estimation: a review and practical guide. Methods Ecol Evol. 2022;13:534–44.
Franklin KA, Norris K, Gill JA, Ratcliffe N, Bonnet-Lebrun AS, Butler SJ, et al. Individual consistency in migration strategies of a tropical seabird, the Round Island Petrel. Mov Ecol BioMed Cent. 2022;10:1–14.
True MC, Gorman KM, Taylor H, Reynolds RJ, Ford WM. Fall migration, oceanic movement, and site residency patterns of eastern red bats (Lasiurus borealis) on the Mid-atlantic Coast. Mov Ecol BioMed Cent. 2023;11:1–16.
R Development Core Team. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2020.
Vazquez-Prokopec GM, Stoddard ST, Paz-Soldan V, Morrison AC, Elder JP, Kochel TJ, et al. Usefulness of commercially available GPS data-loggers for tracking human movement and exposure to dengue virus. Int J Health Geogr. 2009;8:1–11.
Townshend AD, Worringham CJ, Stewart IB. Assessment of speed and position during human locomotion using nondifferential GPS. Med Sci Sports Exerc. 2008;40:124–32.
Sachs G. Minimum shear wind strength required for dynamic soaring of albatrosses. Ibis (Lond 1859). 2005;147:1–10.
Pennycuick CJ. The flight of petrels and albatrosses (Procellariiformes), observed in South Georgia and its vicinity. Philos Trans R Soc B Biol Sci. 1982;300:75–106.
Richardson PL. How do albatrosses fly around the world without flapping their wings? Prog Oceanogr. Volume 88. Elsevier Ltd; 2011. pp. 46–58.
Sherub S, Fiedler W, Duriez O, Wikelski M. Bio-logging, new technologies to study conservation physiology on the move: a case study on annual survival of Himalayan vultures. J Comp Physiol A. Springer Berlin Heidelberg; 2017;203:531–42.
Hurford A. GPS measurement error gives rise to spurious 180° turning angles and strong directional biases in animal movement data. PLoS ONE. 2009;4:e5632.
Sachs G, Traugott J, Nesterova AP, Dell’Omo G, Kümmeth F, Heidrich W, et al. Flying at no mechanical energy cost: disclosing the secret of wandering albatrosses. PLoS ONE. 2012;7:e41449.
Sachs G. In-flight measurement of upwind dynamic soaring in albatrosses. Prog Oceanogr Elsevier Ltd. 2016;142:47–57.
Wensveen PJ, Thomas L, Miller PJO. A path reconstruction method integrating dead-reckoning and position fixes applied to humpback whales. Mov Ecol. 2015;3:31.
Yoda K. Advances in bio-logging techniques and their application to study navigation in wild seabirds. Adv Robot. 2019;33:108–17.
Ronconi RA, Schoombie S, Westgate AJ, Wong SNP, Koopman HN, Ryan PG. Effects of age, sex, colony and breeding phase on marine space use by Great shearwaters Ardenna gravis in the South Atlantic. Mar Biol. 2018;165:58.
Michelot T, Langrock R, Patterson TA. moveHMM: an R package for the statistical modelling of animal movement data using hidden Markov models. Methods Ecol Evol. 2016;7:1308–15.
McClintock BT, Michelot T, momentuHMM:. R package for generalized hidden Markov models of animal movement. Methods Ecol Evol. 2018;9:1518–30.
Calabrese JM, Fleming CH, Gurarie E. Ctmm: an R Package for analyzing animal Relocation Data as a continuous-time stochastic process. Methods Ecol Evol. 2016;7:1124–32.
Shepard ELC, Wilson RP, Quintana F, Gómez Laich A, Liebsch N, Albareda DA, et al. Identification of animal movement patterns using tri-axial accelerometry. Endanger Species Res. 2008;10:47–60.
Williams HJ, Taylor LA, Benhamou S, Bijleveld AI, Clay TA, de Grissac S, et al. Optimizing the use of biologgers for movement ecology research. J Anim Ecol. 2020;89:186–206.
Tremblay Y, Thiebault A, Mullers R, Pistorius P. Bird-borne video-cameras show that seabird movement patterns relate to previously unrevealed proximate environment, not prey. PLoS ONE. 2014;9:e88424.
Bidder OR, Soresina M, Shepard ELC, Halsey LG, Quintana F, Gómez-Laich A, et al. The need for speed: testing acceleration for estimating animal travel rates in terrestrial dead-reckoning systems. Zool Elsevier GmbH. 2012;115:58–64.
Gupte PR, Beardsworth CE, Spiegel O, Lourie E, Toledo S, Nathan R, et al. A guide to pre-processing high-throughput animal tracking data. J Anim Ecol. 2022;91:287–307.
Add Comment