Autonomous Surface and Underwater Vehicles as Effective Ecosystem Monitoring and Research Platforms in the Arctic—The Glider Project

• Published in: Sensors
• Main Authors: Camus, Lionel, Andrade, Hector, Aniceto, Ana Sofia, Aune, Magnus, Bandara, Kanchana, Basedow, Sünnje Linnéa, Christensen, Kai Håkon, Cook, Jeremy, Daase, Malin, Dunlop, Katherine Mary, Falk-Petersen, Stig, fietzek, Peter, Fonnes, Gro, Ghaffari, Peygham, Gramvik, Geir, Graves, Inger, Hayes, Daniel, Langeland, Tom, 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
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2021
• Subjects: Arctic; Lofoten; Norway; Vesterålen; Zooplankton
• Online Access: https://hdl.handle.net/11250/2833976; https://doi.org/10.3390/s21206752

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. publishedVersion