Animal Borne Ocean Sensors – AniBOS – An Essential Component of the Global Ocean Observing System
International audience 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...
Published in: | Frontiers in Marine Science |
---|---|
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Other Authors: | , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2021
|
Subjects: | |
Online Access: | https://hal.science/hal-03434132 https://hal.science/hal-03434132/document https://hal.science/hal-03434132/file/fmars-08-751840.pdf https://doi.org/10.3389/fmars.2021.751840 |
id |
ftuniversailles:oai:HAL:hal-03434132v1 |
---|---|
record_format |
openpolar |
institution |
Open Polar |
collection |
Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ |
op_collection_id |
ftuniversailles |
language |
English |
topic |
animal behavior climate change Essential Ocean Variables (EOVs) marine animals physical oceanography [SDE]Environmental Sciences |
spellingShingle |
animal behavior climate change Essential Ocean Variables (EOVs) marine animals physical oceanography [SDE]Environmental Sciences Mcmahon, Clive Roquet, Fabien Baudel, Sophie Belbeoch, Mathieu Bestley, Sophie Blight, Clint Boehme, Lars Carse, Fiona Costa, Daniel Fedak, Michael Guinet, Christophe Harcourt, Robert Heslop, Emma Hindell, Mark Hoenner, Xavier Holland, Kim Holland, Mellinda Jaine, Fabrice Jeanniard Du Dot, Tiphaine Jonsen, Ian Keates, Theresa Kovacs, Kit Labrousse, Sara Lovell, Philip Lydersen, Christian March, David Mazloff, Matthew Mckinzie, Megan Muelbert, Mônica O’brien, Kevin Phillips, Lachlan Portela, Esther Pye, Jonathan Rintoul, Stephen Sato, Katsufumi Sequeira, Ana Simmons, Samantha Tsontos, Vardis Turpin, Victor van Wijk, Esmee Vo, Danny Wege, Mia Whoriskey, Frederick Gilbert Wilson, Kenady Woodward, Bill Animal Borne Ocean Sensors – AniBOS – An Essential Component of the Global Ocean Observing System |
topic_facet |
animal behavior climate change Essential Ocean Variables (EOVs) marine animals physical oceanography [SDE]Environmental Sciences |
description |
International audience 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 ... |
author2 |
IMOS Animal Tagging New South Wales, Australia Sydney Institute of Marine Science Department of Marine Sciences Gothenburg Göteborgs Universitet = University of Gothenburg (GU) Collecte Localisation Satellites Toulouse (CLS) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National d'Études Spatiales Toulouse (CNES) OceanOPS Institute for Marine and Antarctic Studies Hobart (IMAS) University of Tasmania Hobart, Australia (UTAS) Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Processus et interactions de fine échelle océanique (PROTEO) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) |
format |
Article in Journal/Newspaper |
author |
Mcmahon, Clive Roquet, Fabien Baudel, Sophie Belbeoch, Mathieu Bestley, Sophie Blight, Clint Boehme, Lars Carse, Fiona Costa, Daniel Fedak, Michael Guinet, Christophe Harcourt, Robert Heslop, Emma Hindell, Mark Hoenner, Xavier Holland, Kim Holland, Mellinda Jaine, Fabrice Jeanniard Du Dot, Tiphaine Jonsen, Ian Keates, Theresa Kovacs, Kit Labrousse, Sara Lovell, Philip Lydersen, Christian March, David Mazloff, Matthew Mckinzie, Megan Muelbert, Mônica O’brien, Kevin Phillips, Lachlan Portela, Esther Pye, Jonathan Rintoul, Stephen Sato, Katsufumi Sequeira, Ana Simmons, Samantha Tsontos, Vardis Turpin, Victor van Wijk, Esmee Vo, Danny Wege, Mia Whoriskey, Frederick Gilbert Wilson, Kenady Woodward, Bill |
author_facet |
Mcmahon, Clive Roquet, Fabien Baudel, Sophie Belbeoch, Mathieu Bestley, Sophie Blight, Clint Boehme, Lars Carse, Fiona Costa, Daniel Fedak, Michael Guinet, Christophe Harcourt, Robert Heslop, Emma Hindell, Mark Hoenner, Xavier Holland, Kim Holland, Mellinda Jaine, Fabrice Jeanniard Du Dot, Tiphaine Jonsen, Ian Keates, Theresa Kovacs, Kit Labrousse, Sara Lovell, Philip Lydersen, Christian March, David Mazloff, Matthew Mckinzie, Megan Muelbert, Mônica O’brien, Kevin Phillips, Lachlan Portela, Esther Pye, Jonathan Rintoul, Stephen Sato, Katsufumi Sequeira, Ana Simmons, Samantha Tsontos, Vardis Turpin, Victor van Wijk, Esmee Vo, Danny Wege, Mia Whoriskey, Frederick Gilbert Wilson, Kenady Woodward, Bill |
author_sort |
Mcmahon, Clive |
title |
Animal Borne Ocean Sensors – AniBOS – An Essential Component of the Global Ocean Observing System |
title_short |
Animal Borne Ocean Sensors – AniBOS – An Essential Component of the Global Ocean Observing System |
title_full |
Animal Borne Ocean Sensors – AniBOS – An Essential Component of the Global Ocean Observing System |
title_fullStr |
Animal Borne Ocean Sensors – AniBOS – An Essential Component of the Global Ocean Observing System |
title_full_unstemmed |
Animal Borne Ocean Sensors – AniBOS – An Essential Component of the Global Ocean Observing System |
title_sort |
animal borne ocean sensors – anibos – an essential component of the global ocean observing system |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://hal.science/hal-03434132 https://hal.science/hal-03434132/document https://hal.science/hal-03434132/file/fmars-08-751840.pdf https://doi.org/10.3389/fmars.2021.751840 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
ISSN: 2296-7745 Frontiers in Marine Science https://hal.science/hal-03434132 Frontiers in Marine Science, 2021, 8, pp.751840. ⟨10.3389/fmars.2021.751840⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3389/fmars.2021.751840 hal-03434132 https://hal.science/hal-03434132 https://hal.science/hal-03434132/document https://hal.science/hal-03434132/file/fmars-08-751840.pdf doi:10.3389/fmars.2021.751840 WOS: 000721730600001 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.3389/fmars.2021.751840 |
container_title |
Frontiers in Marine Science |
container_volume |
8 |
_version_ |
1799466623703187456 |
spelling |
ftuniversailles:oai:HAL:hal-03434132v1 2024-05-19T07:48:23+00:00 Animal Borne Ocean Sensors – AniBOS – An Essential Component of the Global Ocean Observing System Mcmahon, Clive Roquet, Fabien Baudel, Sophie Belbeoch, Mathieu Bestley, Sophie Blight, Clint Boehme, Lars Carse, Fiona Costa, Daniel Fedak, Michael Guinet, Christophe Harcourt, Robert Heslop, Emma Hindell, Mark Hoenner, Xavier Holland, Kim Holland, Mellinda Jaine, Fabrice Jeanniard Du Dot, Tiphaine Jonsen, Ian Keates, Theresa Kovacs, Kit Labrousse, Sara Lovell, Philip Lydersen, Christian March, David Mazloff, Matthew Mckinzie, Megan Muelbert, Mônica O’brien, Kevin Phillips, Lachlan Portela, Esther Pye, Jonathan Rintoul, Stephen Sato, Katsufumi Sequeira, Ana Simmons, Samantha Tsontos, Vardis Turpin, Victor van Wijk, Esmee Vo, Danny Wege, Mia Whoriskey, Frederick Gilbert Wilson, Kenady Woodward, Bill IMOS Animal Tagging New South Wales, Australia Sydney Institute of Marine Science Department of Marine Sciences Gothenburg Göteborgs Universitet = University of Gothenburg (GU) Collecte Localisation Satellites Toulouse (CLS) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National d'Études Spatiales Toulouse (CNES) OceanOPS Institute for Marine and Antarctic Studies Hobart (IMAS) University of Tasmania Hobart, Australia (UTAS) Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Processus et interactions de fine échelle océanique (PROTEO) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) 2021-11-05 https://hal.science/hal-03434132 https://hal.science/hal-03434132/document https://hal.science/hal-03434132/file/fmars-08-751840.pdf https://doi.org/10.3389/fmars.2021.751840 en eng HAL CCSD Frontiers Media info:eu-repo/semantics/altIdentifier/doi/10.3389/fmars.2021.751840 hal-03434132 https://hal.science/hal-03434132 https://hal.science/hal-03434132/document https://hal.science/hal-03434132/file/fmars-08-751840.pdf doi:10.3389/fmars.2021.751840 WOS: 000721730600001 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2296-7745 Frontiers in Marine Science https://hal.science/hal-03434132 Frontiers in Marine Science, 2021, 8, pp.751840. ⟨10.3389/fmars.2021.751840⟩ animal behavior climate change Essential Ocean Variables (EOVs) marine animals physical oceanography [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2021 ftuniversailles https://doi.org/10.3389/fmars.2021.751840 2024-04-25T00:19:42Z International audience 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 ... Article in Journal/Newspaper Sea ice Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQ Frontiers in Marine Science 8 |