Animal-Borne Telemetry: An Integral Component of the Ocean Observing Toolkit
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Víctor M. Eguíluz | Michele Thums | Steven J. Cooke | Barbara Block | Kim Aarestrup | Juan Fernández-Gracia | Elliott L. Hazen | Steven J. Bograd | Charlie Huveneers | Eva B. Thorstad | Daniel P. Costa | Masaru Naruoka | Dorian Cazau | Bill Woodward | Colin Simpfendorfer | David W. Sims | Paul Cowley | Stephanie Brodie | Michelle Heupel | Tim Moltmann | Christophe Guinet | Mark Hindell | Luis A. Hückstädt | Christian Lydersen | Kit M. Kovacs | Carlos Duarte | Yoshinari Yonehara | Lars Boehme | Andrew W. Trites | Guy D. Williams | Gilles Reverdin | Kongkiat Kittiwattanawong | Ana M. M. Sequeira | Ian Jonsen | Gemma Carroll | Graeme C. Hays | Katsufumi Sato | D. Sims | V. Eguíluz | G. Williams | F. Roquet | M. Hindell | M. Thums | M. Biuw | D. Costa | M. Fedak | G. Hays | N. Queiroz | I. Jonsen | E. Hazen | S. Bograd | Y. Yonehara | Yusuke Goto | Katsufumi Sato | J. Fernández-Gracia | C. Guinet | M. Meekan | D. Cazau | G. Reverdin | C. Duarte | B. Block | A. Sequeira | S. Iverson | M. Heupel | K. Kovacs | C. Lydersen | S. Cooke | C. McMahon | L. Boehme | R. Harcourt | L. Hückstädt | M. Muelbert | J. Charrassin | Baptiste Picard | A. Trites | K. Aarestrup | M. Hammill | P. D. de Bruyn | C. Simpfendorfer | M. Weise | E. Thorstad | P. Cowley | S. Brodie | F. Whoriskey | K. Goetz | P. D. Bruyn | C. Huveneers | Tim Moltmann | B. Woodward | L. Ferreira | Guy D. Williams | Martin Biuw | D. W. Sims | K. Komatsu | Xuelei Zhang | Gemma Carroll | T. Jeanniard du Dot | S. Jaaman | K. Kittiwattanawong | M. Naruoka | Lachlan R. Phillips | A. Treasure | Fabien Roquet | Baptiste Picard | Clive McMahon | Jean-Benoit Charrassin | Kosei Komatsu | Mark Meekan | Nuno Queiroz | Fred Whoriskey | Rob Harcourt | Yusuke Goto | Xuelei Zhang | Mônica Muelbert | Mike Weise | P. J. Nico de Bruyn | Tiphaine Jeanniard du Dot | Luciana C. Ferreira | Kimberly Goetz | Mike Hammill | Sara Iverson | Saifullah Arifin Jaaman | Lachlan Phillips | Anne M. Treasure | Mike A. Fedak | Tiphaine Jeanniard du Dot | G. Carroll | Mark Biuw
[1] M. Hindell,et al. Important marine habitat off east Antarctica revealed by two decades of multi-species predator tracking , 2015 .
[2] A. Adams,et al. Keeping up with the Silver King: Using cooperative acoustic telemetry networks to quantify the movements of Atlantic tarpon (Megalops atlanticus) in the coastal waters of the southeastern United States , 2018, Fisheries Research.
[3] E. Revilla,et al. A movement ecology paradigm for unifying organismal movement research , 2008, Proceedings of the National Academy of Sciences.
[4] K. Yoda,et al. Assimilation of the seabird and ship drift data in the north-eastern sea of Japan into an operational ocean nowcast/forecast system , 2015, Scientific reports.
[5] G. Stenson,et al. Atlantic water variability on the SE Greenland continental shelf and its relationship to SST and bathymetry , 2012 .
[6] Navinder J. Singh,et al. Linking Movement Ecology with Wildlife Management and Conservation , 2016, Front. Ecol. Evol..
[7] M. A. Fedak,et al. Southern Ocean frontal structure and sea-ice formation rates revealed by elephant seals , 2008, Proceedings of the National Academy of Sciences.
[8] A. Budden,et al. Big data and the future of ecology , 2013 .
[9] Roger Proctor,et al. Australia’s continental-scale acoustic tracking database and its automated quality control process , 2018, Scientific Data.
[10] Michele Thums,et al. Big data analyses reveal patterns and drivers of the movements of southern elephant seals , 2017, Scientific Reports.
[11] K. Steffen,et al. Freshwater Flux and Spatiotemporal Simulated Runoff Variability into Ilulissat Icefjord, West Greenland, Linked to Salinity and Temperature Observations near Tidewater Glacier Margins Obtained Using Instrumented Ringed Seals , 2015 .
[12] Scott A. Shaffer,et al. Predicted habitat shifts of Pacific top predators in a changing climate , 2013 .
[13] Birgitte I. McDonald,et al. Approaches to studying climatic change and its role on the habitat selection of antarctic pinnipeds. , 2010, Integrative and comparative biology.
[14] D. Righton,et al. Conservation physiology for applied management of marine fish: an overview with perspectives on the role and value of telemetry , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.
[15] Yusuke Goto,et al. Asymmetry hidden in birds’ tracks reveals wind, heading, and orientation ability over the ocean , 2017, Science Advances.
[16] Steven J. Cooke,et al. Addressing Challenges in the Application of Animal Movement Ecology to Aquatic Conservation and Management , 2017, Front. Mar. Sci..
[17] D. Biro,et al. Cumulative culture can emerge from collective intelligence in animal groups , 2017, Nature Communications.
[18] M. A. Fedak,et al. Variations in behavior and condition of a Southern Ocean top predator in relation to in situ oceanographic conditions , 2007, Proceedings of the National Academy of Sciences.
[19] Ian D. Jonsen,et al. ROBUST STATE-SPACE MODELING OF ANIMAL MOVEMENT DATA , 2005 .
[20] Steven J. Cooke,et al. To share or not to share in the emerging era of big data: perspectives from fish telemetry researchers on data sharing , 2017 .
[21] Helen Bailey,et al. Ontogeny in marine tagging and tracking science: technologies and data gaps , 2012 .
[22] J. Sallée,et al. Southern Ocean Warming , 2018, Oceanography.
[23] O. Ovaskainen,et al. State-space models of individual animal movement. , 2008, Trends in ecology & evolution.
[24] J. M. Price,et al. Toward a national animal telemetry network for aquatic observations in the United States , 2016, Animal Biotelemetry.
[25] C. Guinet,et al. Dissolved Oxygen Sensor in Animal-Borne Instruments: An Innovation for Monitoring the Health of Oceans and Investigating the Functioning of Marine Ecosystems , 2015, PloS one.
[26] M. Meredith,et al. Temperature signature of high latitude Atlantic boundary currents revealed by marine mammal‐borne sensor and Argo data , 2011 .
[27] B. Manly,et al. Resource selection by animals: statistical design and analysis for field studies. , 1994 .
[28] Olivier Aumont,et al. Impact of nearshore wind stress curl on coastal circulation and primary productivity in the Peru upwelling system , 2010 .
[29] Bernie J. McConnell,et al. Transmitting species‐interaction data from animal‐borne transceivers through Service Argos using Bluetooth communication , 2014 .
[30] The evolution of water property in the Mackenzie Bay polynya during Antarctic winter , 2017, Journal of Ocean University of China.
[31] Robert Harcourt,et al. High sea surface temperatures driven by a strengthening current reduce foraging success by penguins , 2016, Scientific Reports.
[32] Luis A. Hückstädt,et al. Circumpolar habitat use in the southern elephant seal: implications for foraging success and population trajectories , 2016 .
[33] Alistair J. Hobday,et al. Automated acoustic tracking of aquatic animals: scales, design and deployment of listening station arrays , 2006 .
[34] Steven J. Cooke,et al. Making connections in aquatic ecosystems with acoustic telemetry monitoring , 2014 .
[35] M. Biuw,et al. Eddy overturning of the Antarctic Slope Front controls glacial melting in the Eastern Weddell Sea , 2011 .
[36] Toby A Patterson,et al. Classifying movement behaviour in relation to environmental conditions using hidden Markov models. , 2009, The Journal of animal ecology.
[37] E. Hazen,et al. Direct quantification of energy intake in an apex marine predator suggests physiology is a key driver of migrations , 2015, Science Advances.
[38] Luis A. Hückstädt,et al. Oceanic controls on the mass balance of Wilkins Ice Shelf, Antarctica , 2012 .
[39] Katsutoshi Watanabe,et al. IUCN Red List of Threatened Species: ビワヨシノボリ , 2018 .
[40] Matthew D. Taylor,et al. A standardised framework for analysing animal detections from automated tracking arrays , 2018, Animal Biotelemetry.
[41] Bryan C. Daniels,et al. Control of finite critical behaviour in a small-scale social system , 2016, Nature Communications.
[42] Development of an animal-borne “sonar tag” for quantifying prey availability: test deployments on northern elephant seals , 2015, Animal Biotelemetry.
[43] Sam L Cox,et al. Processing of acceleration and dive data on‐board satellite relay tags to investigate diving and foraging behaviour in free‐ranging marine predators , 2017, Methods in ecology and evolution.
[44] Michele Thums,et al. The Ecology of Human Mobility. , 2017, Trends in ecology & evolution.
[45] L. Belbin,et al. What Went Where When? Representing Animal Movements as Simple Darwin Core Occurrences , 2018 .
[46] Brett T. McClintock,et al. A general discrete‐time modeling framework for animal movement using multistate random walks , 2012 .
[47] Matthew H. Godfrey,et al. Climate change and marine turtles , 2009 .
[48] Nicolas E. Humphries,et al. Environmental context explains Lévy and Brownian movement patterns of marine predators , 2010, Nature.
[49] P. Turchin. Quantitative Analysis Of Movement , 1998 .
[50] Nicolas E. Humphries,et al. Scaling laws of marine predator search behaviour , 2008, Nature.
[51] K. Yoda,et al. Flight paths of seabirds soaring over the ocean surface enable measurement of fine-scale wind speed and direction , 2016, Proceedings of the National Academy of Sciences.
[52] Kim Aarestrup,et al. Oceanic Spawning Migration of the European Eel (Anguilla anguilla) , 2009, Science.
[53] Rory P. Wilson,et al. When three per cent may not be three per cent; device-equipped seabirds experience variable flight constraints , 2012 .
[54] G. Hays,et al. A biologist's guide to assessing ocean currents: a review , 2012 .
[55] M. Fedak,et al. Seasonal inflow of warm water onto the southern Weddell Sea continental shelf, Antarctica , 2012 .
[56] Martin Wæver Pedersen,et al. State-space models for bio-loggers: A methodological road map , 2013 .
[57] Steven J. Cooke,et al. Optimizing marine spatial plans with animal tracking data , 2019, Canadian Journal of Fisheries and Aquatic Sciences.
[58] B. Block,et al. A new satellite technology for tracking the movements of Atlantic bluefin tuna. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[59] Carlos M. Duarte,et al. Compliant lightweight non-invasive standalone “Marine Skin” tagging system , 2018, npj Flexible Electronics.
[60] T. Vicsek,et al. Collective Motion , 1999, physics/9902023.
[61] Michael P. Meredith,et al. Seasonal evolution of the upper-ocean adjacent to the South Orkney Islands, Southern Ocean: results from a "lazy biological mooring". , 2011 .
[62] Ruoying He,et al. Coastal ocean wind fields gauged against the performance of an ocean circulation model , 2004 .
[63] Francesca Cagnacci,et al. A plea for standards in reporting data collected by animal-borne electronic devices , 2016, Animal Biotelemetry.
[64] F. Roquet,et al. The ocean mixed-layer under Southern Ocean sea-ice: Seasonal cycle and forcing , 2017 .
[65] Devin S Johnson,et al. Continuous-time correlated random walk model for animal telemetry data. , 2008, Ecology.
[67] A. Sterl,et al. Fifteen years of ocean observations with the global Argo array , 2016 .
[68] Ward Appeltans,et al. Essential ocean variables for global sustained observations of biodiversity and ecosystem changes , 2018, Global change biology.
[69] Nicolas E. Humphries,et al. Ocean-wide tracking of pelagic sharks reveals extent of overlap with longline fishing hotspots , 2016, Proceedings of the National Academy of Sciences.
[70] K. Kovacs,et al. Upper-ocean hydrography of the Nordic Seas during the International Polar Year (2007–2008) as observed by instrumented seals and Argo floats , 2014 .
[71] Edward A Codling,et al. Navigational efficiency in a biased and correlated random walk model of individual animal movement. , 2018, Ecology.
[72] Elizabeth A. Fulton,et al. Developing priority variables (“ecosystem Essential Ocean Variables” — eEOVs) for observing dynamics and change in Southern Ocean ecosystems , 2016 .
[73] Trevor McIntyre,et al. Trends in tagging of marine mammals: a review of marine mammal biologging studies , 2014 .
[74] Christophe Guinet,et al. Integrative modelling of animal movement: incorporating in situ habitat and behavioural information for a migratory marine predator , 2013, Proceedings of the Royal Society B: Biological Sciences.
[75] G. Williams,et al. A Southern Indian Ocean database of hydrographic profiles obtained with instrumented elephant seals , 2014, Scientific Data.
[76] A. Derocher,et al. Migration phenology and seasonal fidelity of an Arctic marine predator in relation to sea ice dynamics. , 2013, The Journal of animal ecology.
[77] T. Tamura,et al. Antarctic Bottom Water production from the Vincennes Bay Polynya, East Antarctica , 2014 .
[78] J. Kohler,et al. Subglacial discharge plume behaviour revealed by CTD-instrumented ringed seals , 2018, Scientific Reports.
[79] T. Duong,et al. The ocean has depth: two- versus three-dimensional space use estimators in a demersal reef fish , 2017 .
[80] Lucas N Joppa,et al. Understanding movement data and movement processes: current and emerging directions. , 2008, Ecology letters.
[81] Bernie J. McConnell,et al. Salinity and temperature structure of a freezing Arctic fjord—monitored by white whales (Delphinapterus leucas) , 2002 .
[82] Brett T McClintock,et al. When to be discrete: the importance of time formulation in understanding animal movement , 2014, Movement Ecology.
[83] M. Pinsky,et al. Marine defaunation: Animal loss in the global ocean , 2015, Science.
[84] A. Ford,et al. Tracking the Conservation Promise of Movement Ecology , 2018, Front. Ecol. Evol..
[85] D. Oro,et al. Rafting behaviour of seabirds as a proxy to describe surface ocean currents in the Balearic Sea , 2019, Scientific Reports.
[86] David W Sims,et al. Flexible foraging movements of leatherback turtles across the North Atlantic Ocean. , 2006, Ecology.
[87] Carl Wunsch,et al. Estimates of the Southern Ocean general circulation improved by animal‐borne instruments , 2013 .
[88] F. Roquet,et al. Variation in the Distribution and Properties of Circumpolar Deep Water in the Eastern Amundsen Sea, on Seasonal Timescales, Using Seal‐Borne Tags , 2018 .
[89] Daniel P. Costa,et al. New Insights into Pelagic Migrations: Implications for Ecology and Conservation , 2012 .
[90] Daniel P. Costa,et al. Upper ocean variability in west Antarctic Peninsula continental shelf waters as measured using instrumented seals , 2008 .
[91] Jonathan R. Potts,et al. Unveiling trade-offs in resource selection of migratory caribou using a mechanistic movement model of availability , 2015 .
[92] Roland Langrock,et al. Flexible and practical modeling of animal telemetry data: hidden Markov models and extensions. , 2012, Ecology.
[93] F. D’Ortenzio,et al. Calibration procedures and first dataset of Southern Ocean chlorophyll a profiles collected by elephant seals equipped with a newly developed CTD-fluorescence tags , 2012 .
[94] M. Heupel,et al. Three-dimensional kernel utilization distributions improve estimates of space use in aquatic animals , 2012 .
[95] Roland Langrock,et al. Analysis of animal accelerometer data using hidden Markov models , 2016, 1602.06466.
[96] Elizabeth A. McHuron,et al. Convergence of marine megafauna movement patterns in coastal and open oceans , 2018, Proceedings of the National Academy of Sciences.
[97] Jishnu Keshavan,et al. Detecting intermittent switching leadership in coupled dynamical systems , 2018, Scientific Reports.
[98] Michael P. Meredith,et al. Antarctic Circumpolar Current frontal system in the South Atlantic: Monitoring using merged Argo and animal-borne sensor data , 2008 .
[99] I. Attrée,et al. CLIQ-BID: A method to quantify bacteria-induced damage to eukaryotic cells by automated live-imaging of bright nuclei , 2017, Scientific Reports.
[100] Alexandre Morin,et al. Distortion and destruction of colloidal flocks in disordered environments , 2016, Nature Physics.
[101] Michele Thums,et al. Translating Marine Animal Tracking Data into Conservation Policy and Management. , 2019, Trends in ecology & evolution.
[102] Robin Freeman,et al. Inferring animal social networks and leadership: applications for passive monitoring arrays , 2016, Journal of The Royal Society Interface.
[103] Christian Rutz,et al. Reality mining of animal social systems. , 2013, Trends in ecology & evolution.
[104] D. Thompson,et al. Eastern rockhopper penguins Eudyptes filholi as biological samplers of juvenile and sub-adult cephalopods around Campbell Island, New Zealand , 2018, Polar Biology.
[105] Bernie J. McConnell,et al. Estimating space‐use and habitat preference from wildlife telemetry data , 2008 .
[106] R. Kays,et al. Terrestrial animal tracking as an eye on life and planet , 2015, Science.
[107] Michael A. Fedak,et al. The impact of animal platforms on polar ocean observation , 2013 .
[108] B. Block. Physiological Ecology in the 21st Century: Advancements in Biologging Science1 , 2005, Integrative and comparative biology.
[109] Fraser Davidson,et al. Rapid circulation of warm subtropical waters in a major glacial fjord in East Greenland , 2010 .
[110] Daniel P. Costa,et al. Seals map bathymetry of the Antarctic continental shelf , 2010 .
[111] Steven J. Bograd,et al. Biologging technologies: new tools for conservation. Introduction , 2010 .
[112] M. Hindell,et al. Movement responses to environment: fast inference of variation among southern elephant seals with a mixed effects model , 2018, bioRxiv.
[113] Kim Holland,et al. Key Questions in Marine Megafauna Movement Ecology. , 2016, Trends in ecology & evolution.
[114] Kevin C. Weng,et al. Validation of geolocation estimates based on light level and sea surface temperature from electronic tags , 2004 .
[115] F. Roquet,et al. Observations of the Fawn Trough Current over the Kerguelen Plateau from instrumented elephant seals , 2009 .
[116] Xavier Hoenner,et al. Continental-scale animal tracking reveals functional movement classes across marine taxa , 2018, Scientific Reports.
[117] Eric R. Dougherty,et al. Suite of simple metrics reveals common movement syndromes across vertebrate taxa , 2017, Movement ecology.
[118] F. Roquet,et al. Large-scale circulation over and around the Northern Kerguelen Plateau , 2008 .
[119] Jason Matthiopoulos,et al. The generalized data management and collection protocol for Conductivity-Temperature-Depth Satellite Relay Data Loggers , 2015, Animal Biotelemetry.
[120] F. Roquet,et al. Seasonal Meandering of the Polar Front Upstream of the Kerguelen Plateau , 2018, Geophysical Research Letters.
[121] T. Tamura,et al. Freshening by glacial meltwater enhances melting of ice shelves and reduces formation of Antarctic Bottom Water , 2018, Science Advances.
[122] I. Jonsen,et al. Consequences of global shipping traffic for marine giants , 2018, Frontiers in Ecology and the Environment.
[123] Daniel P. Costa,et al. TOPP as a Marine Life Observatory: Using Electronic Tags to Monitor the Movements, Behaviour and Habitats of Marine Vertebrates , 2010 .
[124] J. Aars,et al. Sea ice resource selection models for polar bears in the Barents Sea subpopulation , 2018 .
[125] Todd O'Brien,et al. Autonomous Pinniped Environmental Samplers: Using Instrumented Animals as Oceanographic Data Collectors , 2001 .
[126] S. Riser,et al. The Argo Program : observing the global ocean with profiling floats , 2009 .
[127] Ian D. Jonsen,et al. Spatiotemporal modelling of marine movement data using Template Model Builder (TMB) , 2017 .
[128] Helen Bailey,et al. WhaleWatch: a dynamic management tool for predicting blue whale density in the California Current , 2017 .
[129] Muhammad Akram Karimi,et al. Tunable, Flexible Composite Magnets for Marine Monitoring Applications , 2018, Advanced Engineering Materials.
[130] S. Cooke. Biotelemetry and biologging in endangered species research and animal conservation: relevance to regional, national, and IUCN Red List threat assessments , 2008 .
[131] Justin M. J. Travis,et al. The evolution of an ‘intelligent’ dispersal strategy: biased, correlated random walks in patchy landscapes , 2009 .
[132] M. Fedak. Marine animals as platforms for oceanographic sampling: a "win/win" situation for biology and operational oceanography , 2004 .
[133] P. Langhorne,et al. A method for correcting seal-borne oceanographic data and application to the estimation of regional sea ice thickness , 2018, Journal of Marine Systems.
[134] Takeshi Tamura,et al. Antarctic Bottom Water production by intense sea-ice formation in the Cape Darnley polynya , 2013 .
[135] Habitat use by green turtles (Chelonia mydas) nesting in Peninsular Malaysia: local and regional conservation implications. , 2009 .
[136] Ian Jonsen,et al. Supervised accelerometry analysis can identify prey capture by penguins at sea , 2014, Journal of Experimental Biology.
[137] D. Costa,et al. Migratory shearwaters integrate oceanic resources across the Pacific Ocean in an endless summer , 2006, Proceedings of the National Academy of Sciences.
[138] Michael P. Meredith,et al. Technical Note: Animal-borne CTD-Satellite Relay Data Loggers for real-time oceanographic data collection , 2009 .
[139] K. M. Schaefer,et al. Tracking apex marine predator movements in a dynamic ocean , 2011, Nature.
[140] Steven J. Cooke,et al. Troubling issues at the frontier of animal tracking for conservation and management , 2017, Conservation biology : the journal of the Society for Conservation Biology.
[141] Kim Whoriskey,et al. A hidden Markov movement model for rapidly identifying behavioral states from animal tracks , 2016, Ecology and evolution.
[142] Víctor M. Eguíluz,et al. How Big Data Fast Tracked Human Mobility Research and the Lessons for Animal Movement Ecology , 2018, Front. Mar. Sci..
[143] Anthony J Richardson,et al. Encounter success of free-ranging marine predator movements across a dynamic prey landscape , 2006, Proceedings of the Royal Society B: Biological Sciences.
[144] K. Kovacs,et al. Winter sea ice melting in the Atlantic Water subduction area, Svalbard Norway , 2014 .
[145] Steven J. Cooke,et al. Envisioning the Future of Aquatic Animal Tracking: Technology, Science, and Application , 2017 .
[146] J. Kocik,et al. Aquatic animal telemetry: A panoramic window into the underwater world , 2015, Science.
[147] Marco Marengo,et al. Flexible and Biofouling Independent Salinity Sensor , 2018, Advanced Materials Interfaces.
[148] F. Roquet,et al. Ocean observations using tagged animals , 2017 .
[149] Nicolas E. Humphries,et al. Environmental influence on the seasonal movements of satellite-tracked ocean sunfish Mola mola in the north-east Atlantic , 2016, Animal Biotelemetry.
[150] M. Biuw,et al. The ACC frontal system in the South Atlantic: Monitoring using merged Argo and animal-borne sensor data , 2008 .
[151] F. Roquet,et al. A Correction for the Thermal Mass–Induced Errors of CTD Tags Mounted on Marine Mammals , 2018, Journal of Atmospheric and Oceanic Technology.
[152] Jonathan R. Potts,et al. Integrated step selection analysis: bridging the gap between resource selection and animal movement , 2015, 1512.01614.
[153] F. Roquet,et al. Circulation and meltwater distribution in the Bellingshausen Sea: From shelf break to coast , 2016 .
[154] Ian Stirling,et al. Quantifying the sensitivity of Arctic marine mammals to climate-induced habitat change. , 2008, Ecological applications : a publication of the Ecological Society of America.
[155] Mike Fedak,et al. Overcoming the Constraints of Long Range Radio Telemetry from Animals: Getting More Useful Data from Smaller Packages1 , 2002, Integrative and comparative biology.
[156] O. Gaggiotti,et al. Cultural traditions across a migratory network shape the genetic structure of southern right whales around Australia and New Zealand , 2015, Scientific Reports.
[157] Hugh P. Possingham,et al. The value of migration information for conservation prioritization of sea turtles in the Mediterranean , 2016 .
[158] Ken Yoda,et al. Foraging spots of streaked shearwaters in relation to ocean surface currents as identified using their drift movements , 2014 .
[159] T. Tamura,et al. The suppression of Antarctic bottom water formation by melting ice shelves in Prydz Bay , 2016, Nature Communications.
[160] F. Roquet,et al. Delayed-Mode Calibration of Hydrographic Data Obtained from Animal-Borne Satellite Relay Data Loggers , 2011 .
[161] Jane Hunter,et al. An open Web-based system for the analysis and sharing of animal tracking data , 2015, Animal Biotelemetry.
[162] M. Heupel,et al. Diel patterns in three-dimensional use of space by sea snakes , 2015, Animal Biotelemetry.
[163] I. Jonsen,et al. Hierarchical influences of prey distribution on patterns of prey capture by a marine predator , 2017 .
[164] M. Moreau,et al. Intermittent search strategies , 2011, 1104.0639.
[165] Horst Bornemann,et al. Marine mammals exploring the oceans pole to pole: a review of the MEOP Consortium , 2017 .
[166] C. Guinet,et al. Measuring the Marine Soundscape of the Indian Ocean with Southern Elephant Seals Used as Acoustic Gliders of Opportunity , 2017 .
[167] E. Hazen,et al. Marine top predators as climate and ecosystem sentinels , 2019, Frontiers in Ecology and the Environment.
[168] Wenqing Tang,et al. QuikSCAT Satellite Comparisons with Nearshore Buoy Wind Data off the U.S. West Coast , 2003 .
[169] B. McConnell,et al. Movements of southern elephant seals , 1996 .
[170] Roland Langrock,et al. Estimation and simulation of foraging trips in land-based marine predators. , 2016, Ecology.