• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Fakultet for teknologi, kunst og design (TKD)
  • TKD - Institutt for maskin, elektronikk og kjemi
  • View Item
  •   Home
  • Fakultet for teknologi, kunst og design (TKD)
  • TKD - Institutt for maskin, elektronikk og kjemi
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Mobile robotic platforms for the acoustic tracking of deep-sea demersal fishery resources

Masmitja, Ivan; Navarro, J.; Gomariz, S.; Aguzzi, J.; Kleft, B.; O'Reilly, T.; Katija, K.; Bouvet, P.J.; Fannjiang, C.; Vigo, M.; Puig, P.; Alcocer, Alex; Vallicrosa, G.; Palomeras, N.; Carreras, M.; Del Rio, J.; Company, J.B.
Journal article, Peer reviewed
Accepted version
Thumbnail
View/Open
abc3701_CombinedPDF_v5.pdf (2.687Mb)
URI
https://hdl.handle.net/10642/9807
Date
2020-11-25
Metadata
Show full item record
Collections
  • TKD - Institutt for maskin, elektronikk og kjemi [265]
Original version
Masmitja, Navarro, Gomariz, Aguzzi J, Kleft, O'Reilly, Katija, Bouvet, Fannjiang, Vigo, Puig, Alcocer AA, Vallicrosa, Palomeras, Carreras, Del Rio J, Company J. Mobile robotic platforms for the acoustic tracking of deep-sea demersal fishery resources. Science robotics. 2020;5(48)   https://doi.org/10.1126/scirobotics.abc3701
Abstract
Knowing the displacement capacity and mobility patterns of industrially exploited (i.e., fished) marine resources is key to establishing effective conservation management strategies in human-impacted marine ecosystems. Acquiring accurate behavioral information of deep-sea fished ecosystems is necessary to establish the sizes of marine protected areas within the framework of large international societal programs (e.g., European Community H2020, as part of the Blue Growth economic strategy). However, such information is currently scarce, and high-frequency and prolonged data collection is rarely available. Here, we report the implementation of autonomous underwater vehicles and remotely operated vehicles as an aid for acoustic long-baseline localization systems for autonomous tracking of Norway lobster (Nephrops norvegicus), one of the key living resources exploited in European waters. In combination with seafloor moored acoustic receivers, we detected and tracked the movements of 33 tagged lobsters at 400-m depth for more than 3 months. We also identified the best procedures to localize both the acoustic receivers and the tagged lobsters, based on algorithms designed for off-the-shelf acoustic tags identification. Autonomous mobile platforms that deliver data on animal behavior beyond traditional fixed platform capabilities represent an advance for prolonged, in situ monitoring of deep-sea benthic animal behavior at meter spatial scales.
Publisher
American Association for the Advancement of Science
Series
Science Robotics;Vol. 5, Issue 48
Journal
Science robotics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit