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Animal Borne Ocean Sensors – AniBOS – An Essential Component of the Global Ocean Observing System

Authors :
Clive R. McMahon
Fabien Roquet
Sophie Baudel
Mathieu Belbeoch
Sophie Bestley
Clint Blight
Lars Boehme
Fiona Carse
Daniel P. Costa
Michael A. Fedak
Christophe Guinet
Robert Harcourt
Emma Heslop
Mark A. Hindell
Xavier Hoenner
Kim Holland
Mellinda Holland
Fabrice R. A. Jaine
Tiphaine Jeanniard du Dot
Ian Jonsen
Theresa R. Keates
Kit M. Kovacs
Sara Labrousse
Philip Lovell
Christian Lydersen
David March
Matthew Mazloff
Megan K. McKinzie
Mônica M. C. Muelbert
Kevin O’Brien
Lachlan Phillips
Esther Portela
Jonathan Pye
Stephen Rintoul
Katsufumi Sato
Ana M. M. Sequeira
Samantha E. Simmons
Vardis M. Tsontos
Victor Turpin
Esmee van Wijk
Danny Vo
Mia Wege
Frederick Gilbert Whoriskey
Kenady Wilson
Bill Woodward
Source :
Frontiers in Marine Science, Vol 8 (2021)
Publication Year :
2021
Publisher :
Frontiers Media S.A., 2021.

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.

Details

Language :
English
ISSN :
22967745
Volume :
8
Database :
Directory of Open Access Journals
Journal :
Frontiers in Marine Science
Publication Type :
Academic Journal
Accession number :
edsdoj.014ceaf47bf441dfba272867141d526f
Document Type :
article
Full Text :
https://doi.org/10.3389/fmars.2021.751840