Cristin-resultat-ID: 1955121
Sist endret: 23. januar 2024, 13:41
NVI-rapporteringsår: 2021
Resultat
Vitenskapelig artikkel
2021

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

Bidragsytere:
  • Lionel Camus
  • Hector Antonio Andrade Rodriguez
  • Ana Sofia Aniceto
  • Magnus Aune
  • Kanchana Bandara
  • Sünnje Linnéa Basedow
  • mfl.

Tidsskrift

Sensors
ISSN 1424-8220
e-ISSN 1424-8220
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2021
Volum: 21
Hefte: 20
Artikkelnummer: 6752
Open Access

Importkilder

Scopus-ID: 2-s2.0-85116828281

Beskrivelse Beskrivelse

Tittel

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

Sammendrag

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.

Bidragsytere

Lionel Camus

  • Tilknyttet:
    Forfatter
    ved Akvaplan-niva AS

Hector Antonio Andrade Rodriguez

  • Tilknyttet:
    Forfatter
    ved Dyphavsarter og bruskfisk ved Havforskningsinstituttet

Ana Sofia Aniceto

Bidragsyterens navn vises på dette resultatet som Ana Sofia Aniceto
  • Tilknyttet:
    Forfatter
    ved Norges fiskerihøgskole ved UiT Norges arktiske universitet

Magnus Aune

  • Tilknyttet:
    Forfatter
    ved Akvaplan-niva AS

Kanchana Bandara

  • Tilknyttet:
    Forfatter
    ved Fakultet for biovitenskap og akvakultur ved Nord universitet
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