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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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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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 |
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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 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 |
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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1790597890299658240 |