Animal Borne Ocean Sensors – AniBOS – An Essential Component of the Global Ocean Observing System
| Type | Article | ||||||||
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| Date | 2021-11 | ||||||||
| Language | English | ||||||||
| Author(s) | McMahon Clive R.1, Roquet Fabien2, Baudel Sophie3, Belbeoch Mathieu4, Bestley Sophie5, 6, Blight Clint7, Boehme Lars8, Carse Fiona9, Costa Daniel P.10, Fedak Michael A.8, Guinet Christophe11, Harcourt Robert12, Heslop Emma13, Hindell Mark A.5, 6, Hoenner Xavier14, Holland Kim15, Holland Mellinda16, Jaine Fabrice R. A.12, 17, Jeanniard Du Dot Tiphaine11, Jonsen Ian12, Keates Theresa R.18, Kovacs Kit M.19, Labrousse Sara20, Lovell Philip7, Lydersen Christian19, March David21, 22, Mazloff Matthew23, McKinzie Megan K.24, 25, Muelbert Mônica M. C.26, O’brien Kevin27, 28, Phillips Lachlan12, Portela Rodriguez Esther6, 29, Pye Jonathan30, Rintoul Stephen14, 31, Sato Katsufumi32, Sequeira Ana M. M.33, Simmons Samantha E.34, Tsontos Vardis M.35, Turpin Victor4, Van Wijk Esmee6, 14, Vo Danny16, Wege Mia36, Whoriskey Frederick Gilbert30, Wilson Kenady16, Woodward Bill25 | ||||||||
| Affiliation(s) | 1 : IMOS Animal Tagging, Sydney Institute of Marine Science, Mosman, NSW, Australia 2 : Department of Marine Sciences, University of Gothenburg, Gothenburg, Sweden 3 : CLS, Ramonville-Saint-Agne, France 4 : OceanOPS, Plouzané, France 5 : Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia 6 : Australian Antarctic Program Partnership, Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, Australia 7 : Sea Mammal Research Unit (SMRU) Instrumentation, Scottish Oceans Institute, University of St Andrews, St Andrews, United Kingdom 8 : Scottish Oceans Institute, St Andrews, United Kingdom 9 : Met Office, Exeter, United Kingdom 10 : Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA, United States 11 : Centre d’Etudes Biologiques de Chizé-UMR 7372, CNRS-La Rochelle Université, Villiers-en-Bois, France 12 : Department of Biological Sciences, Macquarie University, North Ryde, NSW, Australia 13 : Global Ocean Observing System (GOOS), Intergovernmental Oceanographic Commission (IOC) of UNESCO, Paris, France 14 : CSIRO Oceans and Atmosphere, CSIRO, Hobart, TAS, Australia 15 : Hawai’i Institute of Marine Biology, University of Hawai‘i at Mānoa, Honolulu, HI, United States 16 : Wildlife Computers, Redmond, WA, United States 17 : Integrated Marine Observing System (IMOS) Animal Tracking Facility, Sydney Institute of Marine Science, Mosman, NSW, Australia 18 : Department of Ocean Sciences, University of California, Santa Cruz, Santa Cruz, CA, United States 19 : Norwegian Polar Institute, Fram Centre, Tromsø, Norway 20 : Sorbonne Universités, UPMC University, Paris, France 21 : Centre for Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Penryn, United Kingdom 22 : Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals and Institut de Recerca de la Biodiversitat (IRBio), Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain 23 : CASPO, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, United States 24 : Monterey Bay Aquarium Research Institute (MBARI), Moss Landing, CA, United States 25 : U.S. Integrated Ocean Observing System, Silver Spring, MD, United States 26 : Instituto do Mar, Universidade Federal de São Paulo, Santos, Brazil 27 : Cooperative Institute for Climate, Ocean, and Ecosystem Studies, University of Washington, Seattle, WA, United States 28 : Pacific Marine Environmental Laboratory, Seattle, WA, United States 29 : Université Brest, CNRS, IRD, Ifremer, Laboratoire d’Océanographie Physique et Spatiale (LOPS), Plouzané, France 30 : Ocean Tracking Network, Dalhousie University, Halifax, NS, Canada 31 : Centre for Southern Hemisphere Oceans Research, Hobart, TAS, Australia 32 : Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan 33 : Oceans Institute and School of Biological Sciences, University of Western Australia, Crawley, WA, Australia 34 : U.S. Marine Mammal Commission, Bethesda, MD, United States 35 : NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States 36 : Department of Zoology and Entomology, University of Pretoria, Hatfield, South Africa |
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| Source | Frontiers In Marine Science (2296-7745) (Frontiers Media SA), 2021-11 , Vol. 8 , P. 751840 (21p.) | ||||||||
| DOI | 10.3389/fmars.2021.751840 | ||||||||
| WOS© Times Cited | 28 | ||||||||
| Keyword(s) | animal behavior, climate change, Essential Ocean Variables (EOVs), marine animals, physical oceanography | ||||||||
| Abstract | 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. |
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