Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project †
Effective ocean management requires integrated and sustainable ocean observing systems enabling us to map and understand ecosystem properties and the effects of human activities. Autonomous subsurface and surface vehicles, here collectively referred to as “gliders”, are part of such ocean observing...
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Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537502/ http://www.ncbi.nlm.nih.gov/pubmed/34695965 https://doi.org/10.3390/s21206752 |
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ftpubmed:oai:pubmedcentral.nih.gov:8537502 2023-05-15T14:59:11+02:00 Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project † Camus, Lionel Andrade, Hector Aniceto, Ana Sofia Aune, Magnus Bandara, Kanchana Basedow, Sünnje Linnéa Christensen, Kai Håkon Cook, Jeremy Daase, Malin Dunlop, Katherine Falk-Petersen, Stig Fietzek, Peer Fonnes, Gro Ghaffari, Peygham Gramvik, Geir Graves, Inger Hayes, Daniel Langeland, Tor Lura, Harald Marin, Trond Kristiansen Nøst, Ole Anders Peddie, David Pederick, Joel Pedersen, Geir Sperrevik, Ann Kristin Sørensen, Kai Tassara, Luca Tjøstheim, Sigurd Tverberg, Vigdis Dahle, Salve 2021-10-12 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537502/ http://www.ncbi.nlm.nih.gov/pubmed/34695965 https://doi.org/10.3390/s21206752 en eng MDPI http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537502/ http://www.ncbi.nlm.nih.gov/pubmed/34695965 http://dx.doi.org/10.3390/s21206752 © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). CC-BY Sensors (Basel) Article Text 2021 ftpubmed https://doi.org/10.3390/s21206752 2021-10-31T00:37:44Z Effective ocean management requires integrated and sustainable ocean observing systems enabling us to map and understand ecosystem properties and the effects of human activities. Autonomous subsurface and surface vehicles, here collectively referred to as “gliders”, are part of such ocean observing systems providing high spatiotemporal resolution. In this paper, we present some of the results achieved through the project “Unmanned ocean vehicles, a flexible and cost-efficient offshore monitoring and data management approach—GLIDER”. In this project, three autonomous surface and underwater vehicles were deployed along the Lofoten–Vesterålen (LoVe) shelf-slope-oceanic system, in Arctic Norway. The aim of this effort was to test whether gliders equipped with novel sensors could effectively perform ecosystem surveys by recording physical, biogeochemical, and biological data simultaneously. From March to September 2018, a period of high biological activity in the area, the gliders were able to record a set of environmental parameters, including temperature, salinity, and oxygen, map the spatiotemporal distribution of zooplankton, and record cetacean vocalizations and anthropogenic noise. A subset of these parameters was effectively employed in near-real-time data assimilative ocean circulation models, improving their local predictive skills. The results presented here demonstrate that autonomous gliders can be effective long-term, remote, noninvasive ecosystem monitoring and research platforms capable of operating in high-latitude marine ecosystems. Accordingly, these platforms can record high-quality baseline environmental data in areas where extractive activities are planned and provide much-needed information for operational and management purposes. Text Arctic Lofoten Vesterålen Zooplankton PubMed Central (PMC) Arctic Lofoten Norway Vesterålen ENVELOPE(14.939,14.939,68.754,68.754) Sensors 21 20 6752 |
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PubMed Central (PMC) |
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Article Camus, Lionel Andrade, Hector Aniceto, Ana Sofia Aune, Magnus Bandara, Kanchana Basedow, Sünnje Linnéa Christensen, Kai Håkon Cook, Jeremy Daase, Malin Dunlop, Katherine Falk-Petersen, Stig Fietzek, Peer Fonnes, Gro Ghaffari, Peygham Gramvik, Geir Graves, Inger Hayes, Daniel Langeland, Tor Lura, Harald Marin, Trond Kristiansen Nøst, Ole Anders Peddie, David Pederick, Joel Pedersen, Geir Sperrevik, Ann Kristin Sørensen, Kai Tassara, Luca Tjøstheim, Sigurd Tverberg, Vigdis Dahle, Salve Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project † |
topic_facet |
Article |
description |
Effective ocean management requires integrated and sustainable ocean observing systems enabling us to map and understand ecosystem properties and the effects of human activities. Autonomous subsurface and surface vehicles, here collectively referred to as “gliders”, are part of such ocean observing systems providing high spatiotemporal resolution. In this paper, we present some of the results achieved through the project “Unmanned ocean vehicles, a flexible and cost-efficient offshore monitoring and data management approach—GLIDER”. In this project, three autonomous surface and underwater vehicles were deployed along the Lofoten–Vesterålen (LoVe) shelf-slope-oceanic system, in Arctic Norway. The aim of this effort was to test whether gliders equipped with novel sensors could effectively perform ecosystem surveys by recording physical, biogeochemical, and biological data simultaneously. From March to September 2018, a period of high biological activity in the area, the gliders were able to record a set of environmental parameters, including temperature, salinity, and oxygen, map the spatiotemporal distribution of zooplankton, and record cetacean vocalizations and anthropogenic noise. A subset of these parameters was effectively employed in near-real-time data assimilative ocean circulation models, improving their local predictive skills. The results presented here demonstrate that autonomous gliders can be effective long-term, remote, noninvasive ecosystem monitoring and research platforms capable of operating in high-latitude marine ecosystems. Accordingly, these platforms can record high-quality baseline environmental data in areas where extractive activities are planned and provide much-needed information for operational and management purposes. |
format |
Text |
author |
Camus, Lionel Andrade, Hector Aniceto, Ana Sofia Aune, Magnus Bandara, Kanchana Basedow, Sünnje Linnéa Christensen, Kai Håkon Cook, Jeremy Daase, Malin Dunlop, Katherine Falk-Petersen, Stig Fietzek, Peer Fonnes, Gro Ghaffari, Peygham Gramvik, Geir Graves, Inger Hayes, Daniel Langeland, Tor Lura, Harald Marin, Trond Kristiansen Nøst, Ole Anders Peddie, David Pederick, Joel Pedersen, Geir Sperrevik, Ann Kristin Sørensen, Kai Tassara, Luca Tjøstheim, Sigurd Tverberg, Vigdis Dahle, Salve |
author_facet |
Camus, Lionel Andrade, Hector Aniceto, Ana Sofia Aune, Magnus Bandara, Kanchana Basedow, Sünnje Linnéa Christensen, Kai Håkon Cook, Jeremy Daase, Malin Dunlop, Katherine Falk-Petersen, Stig Fietzek, Peer Fonnes, Gro Ghaffari, Peygham Gramvik, Geir Graves, Inger Hayes, Daniel Langeland, Tor Lura, Harald Marin, Trond Kristiansen Nøst, Ole Anders Peddie, David Pederick, Joel Pedersen, Geir Sperrevik, Ann Kristin Sørensen, Kai Tassara, Luca Tjøstheim, Sigurd Tverberg, Vigdis Dahle, Salve |
author_sort |
Camus, Lionel |
title |
Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project † |
title_short |
Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project † |
title_full |
Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project † |
title_fullStr |
Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project † |
title_full_unstemmed |
Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project † |
title_sort |
autonomous surface and underwater vehicles as effective ecosystem monitoring and research platforms in the arctic—the glider project † |
publisher |
MDPI |
publishDate |
2021 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537502/ http://www.ncbi.nlm.nih.gov/pubmed/34695965 https://doi.org/10.3390/s21206752 |
long_lat |
ENVELOPE(14.939,14.939,68.754,68.754) |
geographic |
Arctic Lofoten Norway Vesterålen |
geographic_facet |
Arctic Lofoten Norway Vesterålen |
genre |
Arctic Lofoten Vesterålen Zooplankton |
genre_facet |
Arctic Lofoten Vesterålen Zooplankton |
op_source |
Sensors (Basel) |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537502/ http://www.ncbi.nlm.nih.gov/pubmed/34695965 http://dx.doi.org/10.3390/s21206752 |
op_rights |
© 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
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CC-BY |
op_doi |
https://doi.org/10.3390/s21206752 |
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Sensors |
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21 |
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20 |
container_start_page |
6752 |
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1766331316226228224 |