Deep-sea benthic habitats modeling and mapping in a NE Atlantic seamount (Galicia Bank). Serrano, A., González-Irusta, J., Punzón, A., García-Alegre, A., Lourido, A., Ríos, P., Blanco, M., Gómez-Ballesteros, M., Druet, M., Cristobo, J., & Cartes, J. Deep-Sea Research Part I: Oceanographic Research Papers, 126:115 – 127, Elsevier Ltd, 2017. Cited by: 36; All Open Access, Green Open Access![Deep-sea benthic habitats modeling and mapping in a NE Atlantic seamount (Galicia Bank) [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex This study presents the results of seafloor habitat identification and mapping of a NE Atlantic deep seamount. An “assemble first, predict later” approach has been followed to identify and map the benthic habitats of the Galicia Bank (NW Iberian). Biotic patterns inferred from the survey data have been used to drive the definition of benthic assemblages using multivariate tools. Eight assemblages, four hard substrates and four sedimentary ones, have been described from a matrix of structural species. Distribution of these assemblages was correlated with environmental factors (multibeam and backscatter data) using binomial GAMs. Finally, the distribution model of each assemblage was applied to produce continuous maps and pooled in a final map with the distribution of the main benthic habitats. Depth and substrate type are key factors when determining soft bottom communities, whereas rocky habitat distribution is mainly explained by rock slope and orientation. Enrichment by northern water masses (LSW) arriving to GB and possible zooplankton biomass increase at vertical-steep walls by “bottom trapping” can explain the higher diversity of habitat providing filter-feeders at slope rocky breaks. These results concerning vulnerable species and habitats, such as Lophelia and Madrepora communities and black and bamboo coral aggregations were the basis of the Spanish proposal of inclusion within the Natura 2000 network. The aim of the present study was to establish the scientific criteria needed for managing and protecting those environmental values. © 2017 Elsevier Ltd
@ARTICLE{Serrano2017115,
author = {Serrano, A. and González-Irusta, J.M. and Punzón, A. and García-Alegre, A. and Lourido, A. and Ríos, P. and Blanco, M. and Gómez-Ballesteros, M. and Druet, M. and Cristobo, J. and Cartes, J.E.},
title = {Deep-sea benthic habitats modeling and mapping in a NE Atlantic seamount (Galicia Bank)},
year = {2017},
journal = {Deep-Sea Research Part I: Oceanographic Research Papers},
volume = {126},
pages = {115 – 127},
doi = {10.1016/j.dsr.2017.06.003},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021057030&doi=10.1016%2fj.dsr.2017.06.003&partnerID=40&md5=a8995425cbc2101eff800e48ec4a4ec6},
affiliations = {Instituto Español de Oceanografía, Centro Oceanográfico de Santander, Spain; Instituto Español de Oceanografía, Centro Oceanográfico de La Coruña, Spain; Instituto Español de Oceanografía, Centro Oceanográfico de Gijón, Spain; Instituto Español de Oceanografía, Centro Oceanográfico de Madrid, Spain; Institut de Ciències del Mar de Barcelona, CSIC, Spain},
abstract = {This study presents the results of seafloor habitat identification and mapping of a NE Atlantic deep seamount. An “assemble first, predict later” approach has been followed to identify and map the benthic habitats of the Galicia Bank (NW Iberian). Biotic patterns inferred from the survey data have been used to drive the definition of benthic assemblages using multivariate tools. Eight assemblages, four hard substrates and four sedimentary ones, have been described from a matrix of structural species. Distribution of these assemblages was correlated with environmental factors (multibeam and backscatter data) using binomial GAMs. Finally, the distribution model of each assemblage was applied to produce continuous maps and pooled in a final map with the distribution of the main benthic habitats. Depth and substrate type are key factors when determining soft bottom communities, whereas rocky habitat distribution is mainly explained by rock slope and orientation. Enrichment by northern water masses (LSW) arriving to GB and possible zooplankton biomass increase at vertical-steep walls by “bottom trapping” can explain the higher diversity of habitat providing filter-feeders at slope rocky breaks. These results concerning vulnerable species and habitats, such as Lophelia and Madrepora communities and black and bamboo coral aggregations were the basis of the Spanish proposal of inclusion within the Natura 2000 network. The aim of the present study was to establish the scientific criteria needed for managing and protecting those environmental values. © 2017 Elsevier Ltd},
author_keywords = {Deep-sea; Galicia Bank; Habitat mapping; Habitat modeling; Natura 2000; Seamounts},
keywords = {Atlantic Ocean; Atlantic Ocean (Northeast); Galicia Bank; Spain; Anthozoa; Lophelia; Madrepora; Digital storage; Ecosystems; Mapping; Submarine geology; Substrates; Deep sea; Galicia; Habitat mapping; Habitat model; Natura 2000; Seamounts; benthic environment; coral; deep-sea benthos; environmental factor; filter feeder; habitat structure; mapping method; numerical model; seafloor; seamount; water mass; zooplankton; Population distribution},
correspondence_address = {A. Serrano; Instituto Español de Oceanografía, Centro Oceanográfico de Santander, Spain; email: aserrano@st.ieo.es},
publisher = {Elsevier Ltd},
issn = {09670637},
coden = {DRORE},
language = {English},
abbrev_source_title = {Deep-Sea Res. Part I Oceanogr. Res. Pap.},
type = {Article},
publication_stage = {Final},
source = {Scopus},
note = {Cited by: 36; All Open Access, Green Open Access}
}
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