Ensemble modelling to predict the distribution of vulnerable marine ecosystems indicator taxa on data-limited seamounts of Cabo Verde (NW Africa)

The peer review history for this article is available at https://www.webofscience.com/api/gateway/wos/peer-review/10.1111/ddi.13896.

Detalles Bibliográficos
Autores: Vinha, Beatriz, Murillo, Francisco Javier, Schumacher, Mia, Hansteen, Thor H., Schwarzkopf, Franziska U., Biastoch, Arne, Kenchington, Ellen, Piraino, Stefano, Orejas, Covadonga, Huvenne, Veerle A.I.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/386106
Acceso en línea:http://hdl.handle.net/10261/386106
https://api.elsevier.com/content/abstract/scopus_id/85197401769
Access Level:acceso abierto
Palabra clave:Cabo Verde
Cold-water corals
Deep-sea ecosystems
Ensemble modelling
Seamounts
Species distribution models
Vulnerable marine ecosystems
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oai_identifier_str oai:digital.csic.es:10261/386106
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Ensemble modelling to predict the distribution of vulnerable marine ecosystems indicator taxa on data-limited seamounts of Cabo Verde (NW Africa)
title Ensemble modelling to predict the distribution of vulnerable marine ecosystems indicator taxa on data-limited seamounts of Cabo Verde (NW Africa)
spellingShingle Ensemble modelling to predict the distribution of vulnerable marine ecosystems indicator taxa on data-limited seamounts of Cabo Verde (NW Africa)
Vinha, Beatriz
Cabo Verde
Cold-water corals
Deep-sea ecosystems
Ensemble modelling
Seamounts
Species distribution models
Vulnerable marine ecosystems
title_short Ensemble modelling to predict the distribution of vulnerable marine ecosystems indicator taxa on data-limited seamounts of Cabo Verde (NW Africa)
title_full Ensemble modelling to predict the distribution of vulnerable marine ecosystems indicator taxa on data-limited seamounts of Cabo Verde (NW Africa)
title_fullStr Ensemble modelling to predict the distribution of vulnerable marine ecosystems indicator taxa on data-limited seamounts of Cabo Verde (NW Africa)
title_full_unstemmed Ensemble modelling to predict the distribution of vulnerable marine ecosystems indicator taxa on data-limited seamounts of Cabo Verde (NW Africa)
title_sort Ensemble modelling to predict the distribution of vulnerable marine ecosystems indicator taxa on data-limited seamounts of Cabo Verde (NW Africa)
dc.creator.none.fl_str_mv Vinha, Beatriz
Murillo, Francisco Javier
Schumacher, Mia
Hansteen, Thor H.
Schwarzkopf, Franziska U.
Biastoch, Arne
Kenchington, Ellen
Piraino, Stefano
Orejas, Covadonga
Huvenne, Veerle A.I.
author Vinha, Beatriz
author_facet Vinha, Beatriz
Murillo, Francisco Javier
Schumacher, Mia
Hansteen, Thor H.
Schwarzkopf, Franziska U.
Biastoch, Arne
Kenchington, Ellen
Piraino, Stefano
Orejas, Covadonga
Huvenne, Veerle A.I.
author_role author
author2 Murillo, Francisco Javier
Schumacher, Mia
Hansteen, Thor H.
Schwarzkopf, Franziska U.
Biastoch, Arne
Kenchington, Ellen
Piraino, Stefano
Orejas, Covadonga
Huvenne, Veerle A.I.
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Regione Puglia
CSIC - Unidad de Tecnología Marina (UTM)
Ministerio de Ciencia e Innovación (España)
European Commission
Vinha, Beatriz [0000-0001-7193-8387]
Orejas, Covadonga [0000-0002-2580-1002]
Kenchington, Ellen [0000-0003-3784-4533]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Cabo Verde
Cold-water corals
Deep-sea ecosystems
Ensemble modelling
Seamounts
Species distribution models
Vulnerable marine ecosystems
topic Cabo Verde
Cold-water corals
Deep-sea ecosystems
Ensemble modelling
Seamounts
Species distribution models
Vulnerable marine ecosystems
description The peer review history for this article is available at https://www.webofscience.com/api/gateway/wos/peer-review/10.1111/ddi.13896.
publishDate 2024
dc.date.none.fl_str_mv 2024
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/386106
https://api.elsevier.com/content/abstract/scopus_id/85197401769
url http://hdl.handle.net/10261/386106
https://api.elsevier.com/content/abstract/scopus_id/85197401769
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/EC/H2020/818123
Centro Oceanográfico de Gijón (COG)
Vinha, Beatriz; Hansteen, Thor H.; Huvenne, Veerle A.I.; Orejas, Covadonga; 2023; Presence-absence records for four cold-water coral taxa on the seamounts of Cabo Verde (NW Africa) [Dataset]; PANGAEA; https://doi.org/10.1594/PANGAEA.963704
Vinha, Beatriz; Murillo, Francisco Javier; Schumacher, Mia; Hansteen, Thor H.; Schwarzkopf, Franziska; Biastoch, Arne; Kenchington, Ellen; Piraino, Stefano; Orejas, Covadonga; Huvenne, Veerle A.I.; 2024; Terrain variables used for ensemble distribution modelling of vulnerable marine ecosystems indicator taxa on data-limited seamounts of Cabo Verde (NW Africa) [Dataset]; Dryad; https://doi.org/10.5061/dryad.0vt4b8h5g
Schwarzkopf, Franziska; 2024; Supplementary data to Vinha et al. (2024): Ensemble modelling to predict the distribution of Vulnerable Marine Ecosystems indicator taxa on data-limited seamounts of Cabo Verde (NW Africa) [Dataset]; GEOMAR Helmholtz Centre for Ocean Research Kiel; hdl:20.500.12085/20248b0a-49fd-4868-90bf-581c61f4b396
Mohn, Christian; Schwarzkopf, Franziska U.; Jiménez García, Patricia; Orejas, Covadonga; Huvenne, Veerle A. I.; Schumacher, Mia; Pérez‐Rodríguez, Irene; Sarralde Vizuete, Roberto; López‐Abellán, Luis J.; Dale, Andrew C.; Devey, Colin; Hansen, Jørgen L. S.; Friis Møller, Eva; Biastoch, Arne. 2025. Dynamics of Near‐Bottom Currents in Cold‐Water Coral and Sponge Areas at Valdivia Bank and Ewing Seamount, Southeast Atlantic, Journal of Geophysical Research: Oceans. https://doi.org/10.1029/2024JC021667
Pica, Maria Luisa; Rendina, Francesco; Cocozza di Montanara, Adele; Fulvio Russo, Giovanni. 2024. Bibliometric Analysis of the Status and Trends of Seamounts’ Research and Their Conservation, Diversity. https://doi.org/10.3390/d16110670
https://doi.org/10.1111/ddi.13896
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv John Wiley & Sons
publisher.none.fl_str_mv John Wiley & Sons
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
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spelling Ensemble modelling to predict the distribution of vulnerable marine ecosystems indicator taxa on data-limited seamounts of Cabo Verde (NW Africa)Vinha, BeatrizMurillo, Francisco JavierSchumacher, MiaHansteen, Thor H.Schwarzkopf, Franziska U.Biastoch, ArneKenchington, EllenPiraino, StefanoOrejas, CovadongaHuvenne, Veerle A.I.Cabo VerdeCold-water coralsDeep-sea ecosystemsEnsemble modellingSeamountsSpecies distribution modelsVulnerable marine ecosystemsThe peer review history for this article is available at https://www.webofscience.com/api/gateway/wos/peer-review/10.1111/ddi.13896.Aim: Seamounts are conspicuous geological features with an important ecological role and can be considered vulnerable marine ecosystems (VMEs). Since many deep-sea regions remain largely unexplored, investigating the occurrence of VME taxa on seamounts is challenging. Our study aimed to predict the distribution of four cold-water coral (CWC) taxa, indicators for VMEs, in a region where occurrence data are scarce. Location: Seamounts around the Cabo Verde archipelago (NW Africa). Methods: We used species presence–absence data obtained from remotely operated vehicle (ROV) footage collected during two research expeditions. Terrain variables calculated using a multiscale approach from a 100-m-resolution bathymetry grid, as well as physical oceanographical data from the VIKING20X model, at a native resolution of 1/20°, were used as environmental predictors. Two modelling techniques (generalized additive model and random forest) were employed and single-model predictions were combined into a final weighted-average ensemble model. Model performance was validated using different metrics through cross-validation. Results: Terrain orientation, at broad scale, presented one of the highest relative variable contributions to the distribution models of all CWC taxa, suggesting that hydrodynamic–topographic interactions on the seamounts could benefit CWCs by maximizing food supply. However, changes at finer scales in terrain morphology and bottom salinity were important for driving differences in the distribution of specific CWCs. The ensemble model predicted the presence of VME taxa on all seamounts and consistently achieved the highest performance metrics, outperforming individual models. Nonetheless, model extrapolation and uncertainty, measured as the coefficient of variation, were high, particularly, in least surveyed areas across seamounts, highlighting the need to collect more data in future surveys. Main Conclusions: Our study shows how data-poor areas may be assessed for the likelihood of VMEs and provides important information to guide future research in Cabo Verde, which is fundamental to advise ongoing conservation planning.We are thankful to Herculano Dinis and Jacob González-Solís for sharing knowledge on the marine biodiversity and conservation of the seamounts of Cabo Verde. B. V. would like to thank the EuroMarine Young Scientist Fellowship Award for supporting her training period on the use of species distribution models and POR Puglia FESR FSE 2014-2020 for funding her PhD fellowship. B.V., C. O. and V. A. I. H. enjoyed a fellowship at the Hanse-Wissenschaftskolleg Institute for Advanced Study for the data preparation and concept development of this manuscript. We would like to express our sincere gratitude to the crew, UTM and scientific team aboard the RV Sarmiento de Gamboa for their onboard assistance as well as during the preparation of the iMirabilis2 expedition. We are grateful to António Calado, Andreia Afonso, Renato Bettencourt, Bruno Ramos and Miguel Souto from the ROV Luso Team. The ship time has been provided by the Spanish Ministry of Science and Innovation. The research included in this manuscript received funding from the European Union's Horizon 2020 iAtlantic project (Grant Agreement No. 818123). This manuscript reflects the authors' view alone, and the European Union cannot be held responsible for any use that may be made of the information contained herein.Peer reviewedJohn Wiley & SonsRegione PugliaCSIC - Unidad de Tecnología Marina (UTM)Ministerio de Ciencia e Innovación (España)European CommissionVinha, Beatriz [0000-0001-7193-8387]Orejas, Covadonga [0000-0002-2580-1002]Kenchington, Ellen [0000-0003-3784-4533]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/386106https://api.elsevier.com/content/abstract/scopus_id/85197401769reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/H2020/818123Centro Oceanográfico de Gijón (COG)Vinha, Beatriz; Hansteen, Thor H.; Huvenne, Veerle A.I.; Orejas, Covadonga; 2023; Presence-absence records for four cold-water coral taxa on the seamounts of Cabo Verde (NW Africa) [Dataset]; PANGAEA; https://doi.org/10.1594/PANGAEA.963704Vinha, Beatriz; Murillo, Francisco Javier; Schumacher, Mia; Hansteen, Thor H.; Schwarzkopf, Franziska; Biastoch, Arne; Kenchington, Ellen; Piraino, Stefano; Orejas, Covadonga; Huvenne, Veerle A.I.; 2024; Terrain variables used for ensemble distribution modelling of vulnerable marine ecosystems indicator taxa on data-limited seamounts of Cabo Verde (NW Africa) [Dataset]; Dryad; https://doi.org/10.5061/dryad.0vt4b8h5gSchwarzkopf, Franziska; 2024; Supplementary data to Vinha et al. (2024): Ensemble modelling to predict the distribution of Vulnerable Marine Ecosystems indicator taxa on data-limited seamounts of Cabo Verde (NW Africa) [Dataset]; GEOMAR Helmholtz Centre for Ocean Research Kiel; hdl:20.500.12085/20248b0a-49fd-4868-90bf-581c61f4b396Mohn, Christian; Schwarzkopf, Franziska U.; Jiménez García, Patricia; Orejas, Covadonga; Huvenne, Veerle A. I.; Schumacher, Mia; Pérez‐Rodríguez, Irene; Sarralde Vizuete, Roberto; López‐Abellán, Luis J.; Dale, Andrew C.; Devey, Colin; Hansen, Jørgen L. S.; Friis Møller, Eva; Biastoch, Arne. 2025. Dynamics of Near‐Bottom Currents in Cold‐Water Coral and Sponge Areas at Valdivia Bank and Ewing Seamount, Southeast Atlantic, Journal of Geophysical Research: Oceans. https://doi.org/10.1029/2024JC021667Pica, Maria Luisa; Rendina, Francesco; Cocozza di Montanara, Adele; Fulvio Russo, Giovanni. 2024. Bibliometric Analysis of the Status and Trends of Seamounts’ Research and Their Conservation, Diversity. https://doi.org/10.3390/d16110670https://doi.org/10.1111/ddi.13896Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3861062026-05-22T06:33:51Z
score 15,811543

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