Visual monitoring of key deep-sea megafauna with an Internet Operated crawler as a tool for ecological status assessment

11 pages, 4 figures, 4 tables, supplementary material https://doi.org/10.1016/j.pocean.2020.102321.-- All environmental data are available in Supplementary Tables S1.1 to S1.4. All raw images are archived and can be downloaded from the Oceans 2.0 Ocean Networks Canada online database, using the foll...

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Detalles Bibliográficos
Autores: Chatzievangelou, Damianos, Aguzzi, Jacopo, Ogston, Andrea S., Suárez, Alejandro, Thomsen, Laurenz
Tipo de recurso: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2020
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/209357
Acceso en línea:http://hdl.handle.net/10261/209357
Access Level:acceso abierto
Palabra clave:Crawlers
Barkley Canyon hydrates
Poison modeling
Deep-sea monitoring
Food pulses
Seafloor disturbance
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spelling Visual monitoring of key deep-sea megafauna with an Internet Operated crawler as a tool for ecological status assessmentChatzievangelou, DamianosAguzzi, JacopoOgston, Andrea S.Suárez, AlejandroThomsen, LaurenzCrawlersBarkley Canyon hydratesPoison modelingDeep-sea monitoringFood pulsesSeafloor disturbance11 pages, 4 figures, 4 tables, supplementary material https://doi.org/10.1016/j.pocean.2020.102321.-- All environmental data are available in Supplementary Tables S1.1 to S1.4. All raw images are archived and can be downloaded from the Oceans 2.0 Ocean Networks Canada online database, using the following link: https://data.oceannetworks.ca/DataSearch?location=BACWL.V3&deviceCategory=VIDEOCAMThe spatio-temporal distribution of seven abundant morphospecies (i.e. taxa identified based on morphological traits) and the diversity of the benthic megafaunal community at the Barkley Canyon hydrates site (870 m, Vancouver Island, BC, Canada) were assessed in 18 linear imaging transects (each transect ~30 m long), conducted with an Internet Operated Deep-sea Crawler in November 2016. Faunal counts (as proxy for local abundances) were treated as Poisson-behaving variables and were modeled and correlated to habitat quality (i.e. level of physical seafloor disturbance, as previously induced by the crawler), fluctuating oceanographic conditions (i.e. tides and currents, seasonal transitions and episodic particle fluxes) and temporally and spatially varying food availability (i.e. elevated chlorophyll levels, proximity to the hydrate mounds as additional energy sources). The model outcome was used to establish a potential trigger-notification procedure for substrate disturbance monitoring when ratios of faunal abundances exceed the expected range for any morphospecies. Finally, a quality assessment of the crawler’s performance as a multidisciplinary monitoring platform was performed using individual and morphospecies accumulation curves, which aids in optimizing and standardizing data collection protocols. We showed that the abundances and diversity of hydrates megafaunal community differed in relation to physical seafloor disturbance, proximity to the hydrate mounds and episodic food input, at varying degrees. Our work sets a solid base for the future real-time, long-term monitoring of ecosystem functioning and health status in deep-sea areas exposed to industrial substrate alterations (i.e. mining, fisheries, etc.)This study was conducted within the framework of Ocean Networks Canada and NEPTUNE Canada, Helmholtz Alliance and Tecnoterra (ICM-CSIC/UPC) and the following project activities: ROBEX (HA-304), ARIM (Autonomous Robotic sea-floor Infrastructure for benthopelagic Monitoring; MartTERA ERA-Net Cofound) and RESBIO (TEC2017-87861-R; Ministerio de Ciencia, Innovación y Universidades)With the funding support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), of the Spanish Research Agency (AEI)ElsevierOcean Networks CanadaNeptune CanadaHelmholtz AssociationTecnoterraMinisterio de Ciencia, Innovación y Universidades (España)Agencia Estatal de Investigación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2020202020202020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Preprintinfo:eu-repo/semantics/submittedVersionhttp://hdl.handle.net/10261/209357reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/TEC2017-87861-Rhttps://doi.org/10.1016/j.pocean.2020.102321Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2093572026-05-22T06:33:51Z
dc.title.none.fl_str_mv Visual monitoring of key deep-sea megafauna with an Internet Operated crawler as a tool for ecological status assessment
title Visual monitoring of key deep-sea megafauna with an Internet Operated crawler as a tool for ecological status assessment
spellingShingle Visual monitoring of key deep-sea megafauna with an Internet Operated crawler as a tool for ecological status assessment
Chatzievangelou, Damianos
Crawlers
Barkley Canyon hydrates
Poison modeling
Deep-sea monitoring
Food pulses
Seafloor disturbance
title_short Visual monitoring of key deep-sea megafauna with an Internet Operated crawler as a tool for ecological status assessment
title_full Visual monitoring of key deep-sea megafauna with an Internet Operated crawler as a tool for ecological status assessment
title_fullStr Visual monitoring of key deep-sea megafauna with an Internet Operated crawler as a tool for ecological status assessment
title_full_unstemmed Visual monitoring of key deep-sea megafauna with an Internet Operated crawler as a tool for ecological status assessment
title_sort Visual monitoring of key deep-sea megafauna with an Internet Operated crawler as a tool for ecological status assessment
dc.creator.none.fl_str_mv Chatzievangelou, Damianos
Aguzzi, Jacopo
Ogston, Andrea S.
Suárez, Alejandro
Thomsen, Laurenz
author Chatzievangelou, Damianos
author_facet Chatzievangelou, Damianos
Aguzzi, Jacopo
Ogston, Andrea S.
Suárez, Alejandro
Thomsen, Laurenz
author_role author
author2 Aguzzi, Jacopo
Ogston, Andrea S.
Suárez, Alejandro
Thomsen, Laurenz
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Ocean Networks Canada
Neptune Canada
Helmholtz Association
Tecnoterra
Ministerio de Ciencia, Innovación y Universidades (España)
Agencia Estatal de Investigación (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Crawlers
Barkley Canyon hydrates
Poison modeling
Deep-sea monitoring
Food pulses
Seafloor disturbance
topic Crawlers
Barkley Canyon hydrates
Poison modeling
Deep-sea monitoring
Food pulses
Seafloor disturbance
description 11 pages, 4 figures, 4 tables, supplementary material https://doi.org/10.1016/j.pocean.2020.102321.-- All environmental data are available in Supplementary Tables S1.1 to S1.4. All raw images are archived and can be downloaded from the Oceans 2.0 Ocean Networks Canada online database, using the following link: https://data.oceannetworks.ca/DataSearch?location=BACWL.V3&deviceCategory=VIDEOCAM
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Preprint
info:eu-repo/semantics/submittedVersion
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/209357
url http://hdl.handle.net/10261/209357
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/TEC2017-87861-R
https://doi.org/10.1016/j.pocean.2020.102321
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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