dc.contributor.author | Masmitja, Ivan | |
dc.contributor.author | Navarro, J. | |
dc.contributor.author | Gomariz, S. | |
dc.contributor.author | Aguzzi, J. | |
dc.contributor.author | Kleft, B. | |
dc.contributor.author | O'Reilly, T. | |
dc.contributor.author | Katija, K. | |
dc.contributor.author | Bouvet, P.J. | |
dc.contributor.author | Fannjiang, C. | |
dc.contributor.author | Vigo, M. | |
dc.contributor.author | Puig, P. | |
dc.contributor.author | Alcocer, Alex | |
dc.contributor.author | Vallicrosa, G. | |
dc.contributor.author | Palomeras, N. | |
dc.contributor.author | Carreras, M. | |
dc.contributor.author | Del Rio, J. | |
dc.contributor.author | Company, J.B. | |
dc.date.accessioned | 2021-01-25T11:57:26Z | |
dc.date.accessioned | 2021-03-02T12:19:31Z | |
dc.date.available | 2021-01-25T11:57:26Z | |
dc.date.available | 2021-03-02T12:19:31Z | |
dc.date.issued | 2020-11-25 | |
dc.identifier.citation | 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) | en |
dc.identifier.issn | 2470-9476 | |
dc.identifier.uri | https://hdl.handle.net/10642/9807 | |
dc.description.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. | en |
dc.description.sponsorship | This work received financial support from different research projects of the Spanish
Ministerio de Economía y Competitividad (RESNEP: CTM2017-82991-C2-1-R, RESBIO:
TEC2017-87861-R, and SASES: RTI2018-095112-B-I00), of the Generalitat de Catalunya
“Sistemas de Adquisición Remota de datos y Tratamiento de la Información en el Medio Marino
(SARTI-MAR)” 2017 SGR 371, and NSF-IDBR (#145501 to K. Katija). J. Navarro was funded
by the Spanish National Program Ramón y Cajal (RYC-2015-17809). | en |
dc.language.iso | en | en |
dc.publisher | American Association for the Advancement of Science | en |
dc.relation.ispartofseries | Science Robotics;Vol. 5, Issue 48 | |
dc.relation.uri | https://robotics.sciencemag.org/content/5/48/eabc3701 | |
dc.rights | This is an accepted, peer reviewed postprint-version of a journal article that has been published in Science robotics. DOI: https://doi.org/10.1126/scirobotics.abc3701 | en |
dc.subject | Mobile robotic platforms | en |
dc.subject | Acoustic tracking | en |
dc.subject | Fishery resources | en |
dc.subject | Robots | |
dc.title | Mobile robotic platforms for the acoustic tracking of deep-sea demersal fishery resources | en |
dc.type | Journal article | en |
dc.type | Peer reviewed | en |
dc.date.updated | 2021-01-25T11:57:26Z | |
dc.description.version | acceptedVersion | en |
dc.identifier.doi | https://doi.org/10.1126/scirobotics.abc3701 | |
dc.identifier.cristin | 1852685 | |
dc.source.journal | Science robotics | |