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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ftmdpi:oai:mdpi.com:/1424-8220/21/20/6752/ 2023-08-20T04:04:23+02:00 Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project Lionel Camus Hector Andrade Ana Aniceto Magnus Aune Kanchana Bandara Sünnje Basedow Kai Christensen Jeremy Cook Malin Daase Katherine Dunlop Stig Falk-Petersen Peer Fietzek Gro Fonnes Peygham Ghaffari Geir Gramvik Inger Graves Daniel Hayes Tor Langeland Harald Lura Trond Kristiansen Ole Nøst David Peddie Joel Pederick Geir Pedersen Ann Sperrevik Kai Sørensen Luca Tassara Sigurd Tjøstheim Vigdis Tverberg Salve Dahle 2021-10-12 application/pdf https://doi.org/10.3390/s21206752 EN eng Multidisciplinary Digital Publishing Institute Sensors and Robotics https://dx.doi.org/10.3390/s21206752 https://creativecommons.org/licenses/by/4.0/ Sensors; Volume 21; Issue 20; Pages: 6752 glider remote sensing ecosystem monitoring Lofoten–Vesterålen Text 2021 ftmdpi https://doi.org/10.3390/s21206752 2023-08-01T02:55:46Z 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 MDPI Open Access Publishing Arctic Lofoten Norway Vesterålen ENVELOPE(14.939,14.939,68.754,68.754) Sensors 21 20 6752 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
glider remote sensing ecosystem monitoring Lofoten–Vesterålen |
spellingShingle |
glider remote sensing ecosystem monitoring Lofoten–Vesterålen Lionel Camus Hector Andrade Ana Aniceto Magnus Aune Kanchana Bandara Sünnje Basedow Kai Christensen Jeremy Cook Malin Daase Katherine Dunlop Stig Falk-Petersen Peer Fietzek Gro Fonnes Peygham Ghaffari Geir Gramvik Inger Graves Daniel Hayes Tor Langeland Harald Lura Trond Kristiansen Ole Nøst David Peddie Joel Pederick Geir Pedersen Ann Sperrevik Kai Sørensen Luca Tassara Sigurd Tjøstheim Vigdis Tverberg Salve Dahle Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project |
topic_facet |
glider remote sensing ecosystem monitoring Lofoten–Vesterålen |
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 |
Lionel Camus Hector Andrade Ana Aniceto Magnus Aune Kanchana Bandara Sünnje Basedow Kai Christensen Jeremy Cook Malin Daase Katherine Dunlop Stig Falk-Petersen Peer Fietzek Gro Fonnes Peygham Ghaffari Geir Gramvik Inger Graves Daniel Hayes Tor Langeland Harald Lura Trond Kristiansen Ole Nøst David Peddie Joel Pederick Geir Pedersen Ann Sperrevik Kai Sørensen Luca Tassara Sigurd Tjøstheim Vigdis Tverberg Salve Dahle |
author_facet |
Lionel Camus Hector Andrade Ana Aniceto Magnus Aune Kanchana Bandara Sünnje Basedow Kai Christensen Jeremy Cook Malin Daase Katherine Dunlop Stig Falk-Petersen Peer Fietzek Gro Fonnes Peygham Ghaffari Geir Gramvik Inger Graves Daniel Hayes Tor Langeland Harald Lura Trond Kristiansen Ole Nøst David Peddie Joel Pederick Geir Pedersen Ann Sperrevik Kai Sørensen Luca Tassara Sigurd Tjøstheim Vigdis Tverberg Salve Dahle |
author_sort |
Lionel Camus |
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 |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
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; Volume 21; Issue 20; Pages: 6752 |
op_relation |
Sensors and Robotics https://dx.doi.org/10.3390/s21206752 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/s21206752 |
container_title |
Sensors |
container_volume |
21 |
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20 |
container_start_page |
6752 |
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1774714772152909824 |