Animal Borne Ocean Sensors – AniBOS – an essential component of the Global Ocean Observing System
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 Sens...
Published in: | Frontiers in Marine Science |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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2021
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Online Access: | https://researchers.mq.edu.au/en/publications/a53138f4-9a82-4744-b3ad-1c21f5058e58 https://doi.org/10.3389/fmars.2021.751840 https://research-management.mq.edu.au/ws/files/180734709/180728102.pdf http://www.scopus.com/inward/record.url?scp=85119455835&partnerID=8YFLogxK http://purl.org/au-research/grants/arc/DP180101667 http://purl.org/au-research/grants/arc/DP210103091 http://purl.org/au-research/grants/arc/DE180100828 |
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Open Polar |
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Macquarie University Research Portal |
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ftmacquarieunicr |
language |
English |
topic |
animal behavior climate change Essential Ocean Variables (EOVs) marine animals physical oceanography |
spellingShingle |
animal behavior climate change Essential Ocean Variables (EOVs) marine animals physical oceanography 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, 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 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 |
description |
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 ... |
format |
Article in Journal/Newspaper |
author |
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, 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 |
author_facet |
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, 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 |
author_sort |
McMahon, Clive R. |
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 |
publishDate |
2021 |
url |
https://researchers.mq.edu.au/en/publications/a53138f4-9a82-4744-b3ad-1c21f5058e58 https://doi.org/10.3389/fmars.2021.751840 https://research-management.mq.edu.au/ws/files/180734709/180728102.pdf http://www.scopus.com/inward/record.url?scp=85119455835&partnerID=8YFLogxK http://purl.org/au-research/grants/arc/DP180101667 http://purl.org/au-research/grants/arc/DP210103091 http://purl.org/au-research/grants/arc/DE180100828 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
McMahon , C R , Roquet , F , Baudel , S , Belbeoch , M , Bestley , S , Blight , C , Boehme , L , Carse , F , Costa , D P , Fedak , M A , Guinet , C , Harcourt , R , Heslop , E , Hindell , M A , Hoenner , X , Holland , K , Holland , M , Jaine , F R A , Jeanniard du Dot , T , Jonsen , I , Keates , T R , Kovacs , K M , Labrousse , S , Lovell , P , Lydersen , C , March , D , Mazloff , M , McKinzie , M K , Muelbert , M M C , O’Brien , K , Phillips , L , Portela , E , Pye , J , Rintoul , S , Sato , K , Sequeira , A M M , Simmons , S E , Tsontos , V M , Turpin , V , van Wijk , E , Vo , D , Wege , M , Whoriskey , F G , Wilson , K & Woodward , B 2021 , ' Animal Borne Ocean Sensors – AniBOS – an essential component of the Global Ocean Observing System ' , Frontiers in Marine Science , vol. 8 , 751840 , pp. 1-21 . https://doi.org/10.3389/fmars.2021.751840 |
op_rights |
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_ |
1815348519231291392 |
spelling |
ftmacquarieunicr:oai:https://researchers.mq.edu.au:publications/a53138f4-9a82-4744-b3ad-1c21f5058e58 2024-11-10T14:41:19+00:00 Animal Borne Ocean Sensors – AniBOS – an essential component of the Global Ocean Observing System 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, 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 2021-11 application/pdf https://researchers.mq.edu.au/en/publications/a53138f4-9a82-4744-b3ad-1c21f5058e58 https://doi.org/10.3389/fmars.2021.751840 https://research-management.mq.edu.au/ws/files/180734709/180728102.pdf http://www.scopus.com/inward/record.url?scp=85119455835&partnerID=8YFLogxK http://purl.org/au-research/grants/arc/DP180101667 http://purl.org/au-research/grants/arc/DP210103091 http://purl.org/au-research/grants/arc/DE180100828 eng eng info:eu-repo/semantics/openAccess McMahon , C R , Roquet , F , Baudel , S , Belbeoch , M , Bestley , S , Blight , C , Boehme , L , Carse , F , Costa , D P , Fedak , M A , Guinet , C , Harcourt , R , Heslop , E , Hindell , M A , Hoenner , X , Holland , K , Holland , M , Jaine , F R A , Jeanniard du Dot , T , Jonsen , I , Keates , T R , Kovacs , K M , Labrousse , S , Lovell , P , Lydersen , C , March , D , Mazloff , M , McKinzie , M K , Muelbert , M M C , O’Brien , K , Phillips , L , Portela , E , Pye , J , Rintoul , S , Sato , K , Sequeira , A M M , Simmons , S E , Tsontos , V M , Turpin , V , van Wijk , E , Vo , D , Wege , M , Whoriskey , F G , Wilson , K & Woodward , B 2021 , ' Animal Borne Ocean Sensors – AniBOS – an essential component of the Global Ocean Observing System ' , Frontiers in Marine Science , vol. 8 , 751840 , pp. 1-21 . https://doi.org/10.3389/fmars.2021.751840 animal behavior climate change Essential Ocean Variables (EOVs) marine animals physical oceanography article 2021 ftmacquarieunicr https://doi.org/10.3389/fmars.2021.751840 2024-10-24T00:37:07Z 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 ... Article in Journal/Newspaper Sea ice Macquarie University Research Portal Frontiers in Marine Science 8 |