Megafaunal assemblages in deep-sea ecosystems of the Gulf of Cadiz, northeast Atlantic ocean
10 pages, 5 figures, 1 table
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| Format: | artículo biblioteca |
| Language: | English |
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Elsevier
2022-05
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| Subjects: | Benthic assemblages, Deep-sea ecosystems, Gulf of Cadiz, Vulnerable marine ecosystems, ROV imaging, |
| Online Access: | http://hdl.handle.net/10261/270199 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100003329 |
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dig-icm-es-10261-2701992022-07-16T01:31:28Z Megafaunal assemblages in deep-sea ecosystems of the Gulf of Cadiz, northeast Atlantic ocean Grinyó, Jordi Francescangeli, Marco Santín, Andreu Ercilla, Gemma Estrada, Ferran Mechó, Ariadna Fanelli, Emanuela Costa, Corrado Danovaro, Roberto Company, Joan B. Sobrino, Ignacio Valencia, Javier Aguzzi, Jacopo Ministerio de Economía y Competitividad (España) Ministerio de Ciencia, Innovación y Universidades (España) Agencia Estatal de Investigación (España) Benthic assemblages Deep-sea ecosystems Gulf of Cadiz Vulnerable marine ecosystems ROV imaging 10 pages, 5 figures, 1 table Deep-sea ecosystems of the Iberian margin have been widely impacted over the past decades, but the limited knowledge on their biodiversity and functioning limits our ability to contribute to their conservation. So far, in the Gulf of Cadiz, research has mostly been focused on megabenthic assemblages associated to mud volcanoes. However, several other geomorphological structures have remained widely unexplored. Here, by means of a quantitative analysis of 17 video transects conducted between 220 and 980 m depth, we investigated megabenthic assemblages associated to canyons, contouritic channels, contouritic furrows and open slopes. We report the presence of 8 different assemblages, segregated as a result of the different substrates and geomorphologic features. Megabenthic assemblages on hard substrates were characterized by mono or multispecific sponge assemblages. Soft bottoms hosted crinoid beds, pennatulacean meadows and fields of the gorgonian Radicipes gracilis. These results highlight the high diversity of megabenthic assemblages in deep-sea ecosystems of the Gulf of Cadiz and suggest that most of the geomorphological features that remained so far unexplored represent vulnerable marine ecosystems deserving protection and inclusion in future management plans The present study was developed in the framework of the Tecnoterra (ICM-CSIC/UPC) Associate Unit and the following project activities, funded by the Spanish Government MOWER (CTM 2012-39599-C03), FAUCES (CTM2015-65461-C2-1-R) and RESBIO (TEC2017-87861-R), plus the ARIM (Autonomous Robotic sea-floor Infrastructure for benthopelagic Monitoring) funded by the MartTERA ERA-Net Cofound and by the project PRIN GLIDE (MUR-IT). [...] This work acknowledges the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S). Francescangeli M. was funded by the European Project ERASMUS grant 2017 Peer reviewed 2022-05-23T11:20:35Z 2022-05-23T11:20:35Z 2022-05 artículo http://purl.org/coar/resource_type/c_6501 Deep Sea Research - Part I - Oceanographic Research Papers 183: 103738 (2022) 0967-0637 CEX2019-000928-S http://hdl.handle.net/10261/270199 10.1016/j.dsr.2022.103738 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100003329 en #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MINECO//CTM2015-65461-C2-1-R/ES/FACTORES DE RIESGO GEOLOGICO ASOCIADO A CABECERAS DE CAÑONES SUBMARINOS DEL SUR DE LA PENINSULA IBERICA/ info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2017-87861-R/ES/REDES DE SENSORES SUBMARINOS AUTONOMOS Y CABLEADOS APLICADOS A LA MONITORIZACION REMOTA DE INDICADORES BIOLOGICOS/ Publisher's version https://doi.org/10.1016/j.dsr.2022.103738 Sí open Elsevier |
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Benthic assemblages Deep-sea ecosystems Gulf of Cadiz Vulnerable marine ecosystems ROV imaging Benthic assemblages Deep-sea ecosystems Gulf of Cadiz Vulnerable marine ecosystems ROV imaging |
| spellingShingle |
Benthic assemblages Deep-sea ecosystems Gulf of Cadiz Vulnerable marine ecosystems ROV imaging Benthic assemblages Deep-sea ecosystems Gulf of Cadiz Vulnerable marine ecosystems ROV imaging Grinyó, Jordi Francescangeli, Marco Santín, Andreu Ercilla, Gemma Estrada, Ferran Mechó, Ariadna Fanelli, Emanuela Costa, Corrado Danovaro, Roberto Company, Joan B. Sobrino, Ignacio Valencia, Javier Aguzzi, Jacopo Megafaunal assemblages in deep-sea ecosystems of the Gulf of Cadiz, northeast Atlantic ocean |
| description |
10 pages, 5 figures, 1 table |
| author2 |
Ministerio de Economía y Competitividad (España) |
| author_facet |
Ministerio de Economía y Competitividad (España) Grinyó, Jordi Francescangeli, Marco Santín, Andreu Ercilla, Gemma Estrada, Ferran Mechó, Ariadna Fanelli, Emanuela Costa, Corrado Danovaro, Roberto Company, Joan B. Sobrino, Ignacio Valencia, Javier Aguzzi, Jacopo |
| format |
artículo |
| topic_facet |
Benthic assemblages Deep-sea ecosystems Gulf of Cadiz Vulnerable marine ecosystems ROV imaging |
| author |
Grinyó, Jordi Francescangeli, Marco Santín, Andreu Ercilla, Gemma Estrada, Ferran Mechó, Ariadna Fanelli, Emanuela Costa, Corrado Danovaro, Roberto Company, Joan B. Sobrino, Ignacio Valencia, Javier Aguzzi, Jacopo |
| author_sort |
Grinyó, Jordi |
| title |
Megafaunal assemblages in deep-sea ecosystems of the Gulf of Cadiz, northeast Atlantic ocean |
| title_short |
Megafaunal assemblages in deep-sea ecosystems of the Gulf of Cadiz, northeast Atlantic ocean |
| title_full |
Megafaunal assemblages in deep-sea ecosystems of the Gulf of Cadiz, northeast Atlantic ocean |
| title_fullStr |
Megafaunal assemblages in deep-sea ecosystems of the Gulf of Cadiz, northeast Atlantic ocean |
| title_full_unstemmed |
Megafaunal assemblages in deep-sea ecosystems of the Gulf of Cadiz, northeast Atlantic ocean |
| title_sort |
megafaunal assemblages in deep-sea ecosystems of the gulf of cadiz, northeast atlantic ocean |
| publisher |
Elsevier |
| publishDate |
2022-05 |
| url |
http://hdl.handle.net/10261/270199 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100003329 |
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