FN Archimer Export Format PT J TI Animal Borne Ocean Sensors – AniBOS – An Essential Component of the Global Ocean Observing System BT AF McMahon, Clive R. Roquet, Fabien Baudel, Sophie Belbeoch, Mathieu Bestley, Sophie Blight, Clint Boehme, Lars Carse, Fiona Costa, Daniel P. Fedak, Michael A. Guinet, Christophe Harcourt, Robert Heslop, Emma Hindell, Mark A. Hoenner, Xavier Holland, Kim Holland, Mellinda Jaine, Fabrice R. A. Jeanniard du Dot, Tiphaine Jonsen, Ian Keates, Theresa R. Kovacs, Kit M. Labrousse, Sara Lovell, Philip Lydersen, Christian March, David Mazloff, Matthew McKinzie, Megan K. Muelbert, Mônica M. C. O’Brien, Kevin Phillips, Lachlan PORTELA RODRIGUEZ, Esther Pye, Jonathan Rintoul, Stephen Sato, Katsufumi Sequeira, Ana M. M. Simmons, Samantha E. Tsontos, Vardis M. Turpin, Victor van Wijk, Esmee Vo, Danny Wege, Mia Whoriskey, Frederick Gilbert Wilson, Kenady Woodward, Bill AS 1:1;2:2;3:3;4:4;5:5,6;6:7;7:8;8:9;9:10;10:8;11:11;12:12;13:13;14:5,6;15:14;16:15;17:16;18:12,17;19:11;20:12;21:18;22:19;23:20;24:7;25:19;26:21,22;27:23;28:24,25;29:26;30:27,28;31:12;32:6,29;33:30;34:14,31;35:32;36:33;37:34;38:35;39:4;40:6,14;41:16;42:36;43:30;44:16;45:25; FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;15:;16:;17:;18:;19:;20:;21:;22:;23:;24:;25:;26:;27:;28:;29:;30:;31:;32:;33:;34:;35:;36:;37:;38:;39:;40:;41:;42:;43:;44:;45:; C1 IMOS Animal Tagging, Sydney Institute of Marine Science, Mosman, NSW, Australia Department of Marine Sciences, University of Gothenburg, Gothenburg, Sweden CLS, Ramonville-Saint-Agne, France OceanOPS, Plouzané, France Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia Australian Antarctic Program Partnership, Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia Sea Mammal Research Unit (SMRU) Instrumentation, Scottish Oceans Institute, University of St Andrews, St Andrews, United Kingdom Scottish Oceans Institute, St Andrews, United Kingdom Met Office, Exeter, United Kingdom Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA, United States Centre d’Etudes Biologiques de Chizé-UMR 7372, CNRS-La Rochelle Université, Villiers-en-Bois, France Department of Biological Sciences, Macquarie University, North Ryde, NSW, Australia Global Ocean Observing System (GOOS), Intergovernmental Oceanographic Commission (IOC) of UNESCO, Paris, France CSIRO Oceans and Atmosphere, CSIRO, Hobart, TAS, Australia Hawai’i Institute of Marine Biology, University of Hawai‘i at Mānoa, Honolulu, HI, United States Wildlife Computers, Redmond, WA, United States Integrated Marine Observing System (IMOS) Animal Tracking Facility, Sydney Institute of Marine Science, Mosman, NSW, Australia Department of Ocean Sciences, University of California, Santa Cruz, Santa Cruz, CA, United States Norwegian Polar Institute, Fram Centre, Tromsø, Norway Sorbonne Universités, UPMC University, Paris, France Centre for Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Penryn, United Kingdom Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals and Institut de Recerca de la Biodiversitat (IRBio), Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain CASPO, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, United States Monterey Bay Aquarium Research Institute (MBARI), Moss Landing, CA, United States U.S. Integrated Ocean Observing System, Silver Spring, MD, United States Instituto do Mar, Universidade Federal de São Paulo, Santos, Brazil Cooperative Institute for Climate, Ocean, and Ecosystem Studies, University of Washington, Seattle, WA, United States Pacific Marine Environmental Laboratory, Seattle, WA, United States Université Brest, CNRS, IRD, Ifremer, Laboratoire d’Océanographie Physique et Spatiale (LOPS), Plouzané, France Ocean Tracking Network, Dalhousie University, Halifax, NS, Canada Centre for Southern Hemisphere Oceans Research, Hobart, TAS, Australia Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan Oceans Institute and School of Biological Sciences, University of Western Australia, Crawley, WA, Australia U.S. Marine Mammal Commission, Bethesda, MD, United States NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States Department of Zoology and Entomology, University of Pretoria, Hatfield, South Africa C2 SIMS, AUSTRALIA UNIV GOTHENBURG, SWEDEN CLS, FRANCE OCEANOPS, FRANCE UNIV TASMANIA, AUSTRALIA UNIV TASMANIA, AUSTRALIA UNIV ST ANDREWS, UK UNIV ST ANDREWS, UK MET OFFICE, UK UNIV CALIF SANTA CRUZ, USA UNIV LA ROCHELLE, FRANCE UNIV MACQUARIE, AUSTRALIA GOOS, FRANCE CSIRO OCEANS AND ATMOSPHERE, AUSTRALIA UNIV HAWAII MANOA, USA WILDLIFE COMPUTERS, USA SIMS, AUSTRALIA UNIV CALIF SANTA CRUZ, USA NORWEGIAN POLAR INST, NORWAY UNIV SORBONNE, FRANCE UNIV EXETER, UK UNIV BARCELONA, SPAIN UNIV CALIF SAN DIEGO, USA MBARI, USA IOOS, USA UNIV FED SAO PAULO, BRAZIL UNIV WASHINGTON, USA PACIFIC MARINE ENVIRONM LAB, USA CNRS, FRANCE UNIV DALHOUSIE, CANADA CSIRO, AUSTRALIA UNIV TOKYO, JAPAN UNIV WESTERN AUSTRALIA, AUSTRALIA MARINE MAMMAL COMMISS, USA CALTECH, USA UNIV PRETORIA, SOUTH AFRICA UM LOPS IN WOS Cotutelle UMR DOAJ copubli-france copubli-europe copubli-univ-france copubli-int-hors-europe copubli-sud IF 5.247 TC 28 UR https://archimer.ifremer.fr/doc/00736/84805/89845.pdf LA English DT Article DE ;animal behavior;climate change;Essential Ocean Variables (EOVs);marine animals;physical oceanography AB Marine animals equipped with biological and physical electronic sensors have produced long-term data streams on key marine environmental variables, hydrography, animal behavior and ecology. These data are an essential component of the Global Ocean Observing System (GOOS). The Animal Borne Ocean Sensors (AniBOS) network aims to coordinate the long-term collection and delivery of marine data streams, providing a complementary capability to other GOOS networks that monitor Essential Ocean Variables (EOVs), essential climate variables (ECVs) and essential biodiversity variables (EBVs). AniBOS augments observations of temperature and salinity within the upper ocean, in areas that are under-sampled, providing information that is urgently needed for an improved understanding of climate and ocean variability and for forecasting. Additionally, measurements of chlorophyll fluorescence and dissolved oxygen concentrations are emerging. The observations AniBOS provides are used widely across the research, modeling and operational oceanographic communities. High latitude, shallow coastal shelves and tropical seas have historically been sampled poorly with traditional observing platforms for many reasons including sea ice presence, limited satellite coverage and logistical costs. Animal-borne sensors are helping to fill that gap by collecting and transmitting in near real time an average of 500 temperature-salinity-depth profiles per animal annually and, when instruments are recovered (∼30% of instruments deployed annually, n = 103 ± 34), up to 1,000 profiles per month in these regions. Increased observations from under-sampled regions greatly improve the accuracy and confidence in estimates of ocean state and improve studies of climate variability by delivering data that refine climate prediction estimates at regional and global scales. The GOOS Observations Coordination Group (OCG) reviews, advises on and coordinates activities across the global ocean observing networks to strengthen the effective implementation of the system. AniBOS was formally recognized in 2020 as a GOOS network. This improves our ability to observe the ocean’s structure and animals that live in them more comprehensively, concomitantly improving our understanding of global ocean and climate processes for societal benefit consistent with the UN Sustainability Goals 13 and 14: Climate and Life below Water. Working within the GOOS OCG framework ensures that AniBOS is an essential component of an integrated Global Ocean Observing System. PY 2021 PD NOV SO Frontiers In Marine Science SN 2296-7745 PU Frontiers Media SA VL 8 UT 000721730600001 DI 10.3389/fmars.2021.751840 ID 84805 ER EF