Don't catch me if you can - Using cabled observatories as multidisciplinary platforms for marine fish community monitoring: An in situ case study combining Underwater Video and environmental DNA data

11 pages, 4 figures, 4 tables supplementary data https://doi.org/10.1016/j.scitotenv.2021.145351.-- Data availability: SmartBay Observatory Video Camera Data (Raw) dataset is available at: http://data.marine.ie/geonetwork/srv/eng/catalog.search#/metadata/ie.marine.data:dataset.3880 (Gaughan et al.,...

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Published in:Science of The Total Environment
Main Authors: Mirimin, Luca, Desmet, Sam, López-Romero, D., Fernández Fernández, Sara, Miller, Dulaney L., Mynott, Sebastian, Gonzalez Brincau, Alejandro, Stefanni, Sergio, Berry, Alan, Gaughan, Paul, Aguzzi, Jacopo
Other Authors: Marine Institute (Ireland), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Science Foundation Ireland
Format: Article in Journal/Newspaper
Language:unknown
Published: Elsevier 2021
Subjects:
Online Access:http://hdl.handle.net/10261/242290
https://doi.org/10.1016/j.scitotenv.2021.145351
https://doi.org/10.13039/501100001602
https://doi.org/10.13039/501100011033
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record_format openpolar
spelling ftcsic:oai:digital.csic.es:10261/242290 2024-02-11T10:02:00+01:00 Don't catch me if you can - Using cabled observatories as multidisciplinary platforms for marine fish community monitoring: An in situ case study combining Underwater Video and environmental DNA data Mirimin, Luca Desmet, Sam López-Romero, D. Fernández Fernández, Sara Miller, Dulaney L. Mynott, Sebastian Gonzalez Brincau, Alejandro Stefanni, Sergio Berry, Alan Gaughan, Paul Aguzzi, Jacopo Marine Institute (Ireland) Ministerio de Ciencia, Innovación y Universidades (España) Agencia Estatal de Investigación (España) Science Foundation Ireland 2021-06 http://hdl.handle.net/10261/242290 https://doi.org/10.1016/j.scitotenv.2021.145351 https://doi.org/10.13039/501100001602 https://doi.org/10.13039/501100011033 unknown Elsevier #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/TEC2017-87861-R Postprint https://doi.org/10.1016/j.scitotenv.2021.145351 Sí issn: 0048-9697 e-issn: 1879-1026 Science of the Total Environment 773: 145351 (2021) CEX2019-000928-S http://hdl.handle.net/10261/242290 doi:10.1016/j.scitotenv.2021.145351 http://dx.doi.org/10.13039/501100001602 http://dx.doi.org/10.13039/501100011033 open Cabled observatory Environmental DNA Metabarcoding Underwater Video Non-invasive monitoring Marine fish artículo http://purl.org/coar/resource_type/c_6501 2021 ftcsic https://doi.org/10.1016/j.scitotenv.2021.14535110.13039/50110000160210.13039/501100011033 2024-01-16T11:09:21Z 11 pages, 4 figures, 4 tables supplementary data https://doi.org/10.1016/j.scitotenv.2021.145351.-- Data availability: SmartBay Observatory Video Camera Data (Raw) dataset is available at: http://data.marine.ie/geonetwork/srv/eng/catalog.search#/metadata/ie.marine.data:dataset.3880 (Gaughan et al., 2020) Cabled observatories are marine infrastructures equipped with biogeochemical and oceanographic sensors as well as High-Definition video and audio equipment, hence providing unprecedented opportunities to study marine biotic and abiotic components. Additionally, non-invasive monitoring approaches such as environmental DNA (eDNA) metabarcoding have further enhanced the ability to characterize marine life. Although the use of non-invasive tools beholds great potential for the sustainablemonitoring of biodiversity and declining natural resources, such techniques are rarely used in parallel and understanding their limitations is challenging. Thus, this study combined Underwater Video (UV) with eDNA metabarcoding data to produce marine fish community profiles over a 2 months period in situ at a cabled observatory in the northeast Atlantic (SmartBay Ireland). By combining both approaches, an increased number of fish could be identified to the species level (total of 22 species), including ecologically and economically important species such as Atlantic cod, whiting, mackerel and monkfish Funding for this research was possible thanks to Marine Institute's National Infrastructure Access Programme (NIAP/18/004). This study was partly developed within the framework of the Tecnoterra (ICM-CSIC/UPC) and the following project RESBIO (TEC2017-87861-R; Ministerio de Ciencia, Innovación y Universidades). The EMSO_SmartBay cabled observatory was funded by Science Foundation Ireland (SFI) as part of an SFI Research Infrastructure Award under Grant No. 12/RI/2331 With the funding support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), of the Spanish Research Agency (AEI) Article in Journal/Newspaper atlantic cod Northeast Atlantic Digital.CSIC (Spanish National Research Council) Science of The Total Environment 773 145351
institution Open Polar
collection Digital.CSIC (Spanish National Research Council)
op_collection_id ftcsic
language unknown
topic Cabled observatory
Environmental DNA
Metabarcoding
Underwater Video
Non-invasive monitoring
Marine fish
spellingShingle Cabled observatory
Environmental DNA
Metabarcoding
Underwater Video
Non-invasive monitoring
Marine fish
Mirimin, Luca
Desmet, Sam
López-Romero, D.
Fernández Fernández, Sara
Miller, Dulaney L.
Mynott, Sebastian
Gonzalez Brincau, Alejandro
Stefanni, Sergio
Berry, Alan
Gaughan, Paul
Aguzzi, Jacopo
Don't catch me if you can - Using cabled observatories as multidisciplinary platforms for marine fish community monitoring: An in situ case study combining Underwater Video and environmental DNA data
topic_facet Cabled observatory
Environmental DNA
Metabarcoding
Underwater Video
Non-invasive monitoring
Marine fish
description 11 pages, 4 figures, 4 tables supplementary data https://doi.org/10.1016/j.scitotenv.2021.145351.-- Data availability: SmartBay Observatory Video Camera Data (Raw) dataset is available at: http://data.marine.ie/geonetwork/srv/eng/catalog.search#/metadata/ie.marine.data:dataset.3880 (Gaughan et al., 2020) Cabled observatories are marine infrastructures equipped with biogeochemical and oceanographic sensors as well as High-Definition video and audio equipment, hence providing unprecedented opportunities to study marine biotic and abiotic components. Additionally, non-invasive monitoring approaches such as environmental DNA (eDNA) metabarcoding have further enhanced the ability to characterize marine life. Although the use of non-invasive tools beholds great potential for the sustainablemonitoring of biodiversity and declining natural resources, such techniques are rarely used in parallel and understanding their limitations is challenging. Thus, this study combined Underwater Video (UV) with eDNA metabarcoding data to produce marine fish community profiles over a 2 months period in situ at a cabled observatory in the northeast Atlantic (SmartBay Ireland). By combining both approaches, an increased number of fish could be identified to the species level (total of 22 species), including ecologically and economically important species such as Atlantic cod, whiting, mackerel and monkfish Funding for this research was possible thanks to Marine Institute's National Infrastructure Access Programme (NIAP/18/004). This study was partly developed within the framework of the Tecnoterra (ICM-CSIC/UPC) and the following project RESBIO (TEC2017-87861-R; Ministerio de Ciencia, Innovación y Universidades). The EMSO_SmartBay cabled observatory was funded by Science Foundation Ireland (SFI) as part of an SFI Research Infrastructure Award under Grant No. 12/RI/2331 With the funding support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), of the Spanish Research Agency (AEI)
author2 Marine Institute (Ireland)
Ministerio de Ciencia, Innovación y Universidades (España)
Agencia Estatal de Investigación (España)
Science Foundation Ireland
format Article in Journal/Newspaper
author Mirimin, Luca
Desmet, Sam
López-Romero, D.
Fernández Fernández, Sara
Miller, Dulaney L.
Mynott, Sebastian
Gonzalez Brincau, Alejandro
Stefanni, Sergio
Berry, Alan
Gaughan, Paul
Aguzzi, Jacopo
author_facet Mirimin, Luca
Desmet, Sam
López-Romero, D.
Fernández Fernández, Sara
Miller, Dulaney L.
Mynott, Sebastian
Gonzalez Brincau, Alejandro
Stefanni, Sergio
Berry, Alan
Gaughan, Paul
Aguzzi, Jacopo
author_sort Mirimin, Luca
title Don't catch me if you can - Using cabled observatories as multidisciplinary platforms for marine fish community monitoring: An in situ case study combining Underwater Video and environmental DNA data
title_short Don't catch me if you can - Using cabled observatories as multidisciplinary platforms for marine fish community monitoring: An in situ case study combining Underwater Video and environmental DNA data
title_full Don't catch me if you can - Using cabled observatories as multidisciplinary platforms for marine fish community monitoring: An in situ case study combining Underwater Video and environmental DNA data
title_fullStr Don't catch me if you can - Using cabled observatories as multidisciplinary platforms for marine fish community monitoring: An in situ case study combining Underwater Video and environmental DNA data
title_full_unstemmed Don't catch me if you can - Using cabled observatories as multidisciplinary platforms for marine fish community monitoring: An in situ case study combining Underwater Video and environmental DNA data
title_sort don't catch me if you can - using cabled observatories as multidisciplinary platforms for marine fish community monitoring: an in situ case study combining underwater video and environmental dna data
publisher Elsevier
publishDate 2021
url http://hdl.handle.net/10261/242290
https://doi.org/10.1016/j.scitotenv.2021.145351
https://doi.org/10.13039/501100001602
https://doi.org/10.13039/501100011033
genre atlantic cod
Northeast Atlantic
genre_facet atlantic cod
Northeast Atlantic
op_relation #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/TEC2017-87861-R
Postprint
https://doi.org/10.1016/j.scitotenv.2021.145351

issn: 0048-9697
e-issn: 1879-1026
Science of the Total Environment 773: 145351 (2021)
CEX2019-000928-S
http://hdl.handle.net/10261/242290
doi:10.1016/j.scitotenv.2021.145351
http://dx.doi.org/10.13039/501100001602
http://dx.doi.org/10.13039/501100011033
op_rights open
op_doi https://doi.org/10.1016/j.scitotenv.2021.14535110.13039/50110000160210.13039/501100011033
container_title Science of The Total Environment
container_volume 773
container_start_page 145351
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