Reconstructing baselines: use of habitat suitability modelling to predict pre-fishing condition of a Vulnerable Marine Ecosystem
As industrialized fishing activities have moved into deeper water, the recognition of Vulnerable Marine Ecosystems (VMEs) has become important for the protection of the deep-sea. Our limited knowledge on the past and present distribution of VMEs hinders our ability to manage bottom fisheries effecti...
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Centro Oceanográfico de Vigo
2021
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Online Access: | http://hdl.handle.net/10508/11596 https://doi.org/10.1093/icesjms/fsab154 |
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ftieo:oai:repositorio.ieo.es:10508/11596 2023-05-15T17:34:25+02:00 Reconstructing baselines: use of habitat suitability modelling to predict pre-fishing condition of a Vulnerable Marine Ecosystem Sacau-Cuadrado, M.M. (María del Mar) Océan atlantique Atlantique Nord Atlantic Ocean Atlántico Norte NAFO Océano Atlántico North Atlantic 2021-07-27 http://hdl.handle.net/10508/11596 https://doi.org/10.1093/icesjms/fsab154 eng eng Centro Oceanográfico de Vigo 1054-3139 http://hdl.handle.net/10508/11596 ICES Journal Of Marine Science, 0. 2021: 1-13 doi:10.1093/icesjms/fsab154 Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ openAccess CC-BY-NC-ND Vulnerable Marine Ecosystem habitat suitability modelling NAFO High Seas Fisheries fish consultants radio habitat ecology article 2021 ftieo https://doi.org/10.1093/icesjms/fsab154 2022-07-26T23:49:11Z As industrialized fishing activities have moved into deeper water, the recognition of Vulnerable Marine Ecosystems (VMEs) has become important for the protection of the deep-sea. Our limited knowledge on the past and present distribution of VMEs hinders our ability to manage bottom fisheries effectively. This study investigated whether accounting for bottom fishing intensity (derived from Vessel Monitoring System records) as a predictor in habitat suitability models can (1) improve predictions of, and (2) provide estimates for a pre-fishing baseline for the distribution and biomass of a VME indicator taxon. Random Forest models were applied to presence/absence and biomass of Geodia sponges and environmental variables with and without bottom fishing intensity. The models including fishing were further used to predict distribution and biomass of Geodia to a pre-fishing scenario. Inclusion of fishing pressure as a predictive term significantly improved model performance for both sponge presence and biomass. This study has demonstrated a way to produce a more accurate picture of the current distribution of VMEs in the study area. The pre-fishing scenario predictions also identified areas of suitable Geodia habitat that are currently impacted by fishing, suggesting that sponge habitat and biomass have been impacted by bottom trawling activities. 1054-3139 Versión del editor 2,277 Article in Journal/Newspaper North Atlantic Instituto Español de Oceanografía: e-IEO ICES Journal of Marine Science |
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Open Polar |
collection |
Instituto Español de Oceanografía: e-IEO |
op_collection_id |
ftieo |
language |
English |
topic |
Vulnerable Marine Ecosystem habitat suitability modelling NAFO High Seas Fisheries fish consultants radio habitat ecology |
spellingShingle |
Vulnerable Marine Ecosystem habitat suitability modelling NAFO High Seas Fisheries fish consultants radio habitat ecology Sacau-Cuadrado, M.M. (María del Mar) Reconstructing baselines: use of habitat suitability modelling to predict pre-fishing condition of a Vulnerable Marine Ecosystem |
topic_facet |
Vulnerable Marine Ecosystem habitat suitability modelling NAFO High Seas Fisheries fish consultants radio habitat ecology |
description |
As industrialized fishing activities have moved into deeper water, the recognition of Vulnerable Marine Ecosystems (VMEs) has become important for the protection of the deep-sea. Our limited knowledge on the past and present distribution of VMEs hinders our ability to manage bottom fisheries effectively. This study investigated whether accounting for bottom fishing intensity (derived from Vessel Monitoring System records) as a predictor in habitat suitability models can (1) improve predictions of, and (2) provide estimates for a pre-fishing baseline for the distribution and biomass of a VME indicator taxon. Random Forest models were applied to presence/absence and biomass of Geodia sponges and environmental variables with and without bottom fishing intensity. The models including fishing were further used to predict distribution and biomass of Geodia to a pre-fishing scenario. Inclusion of fishing pressure as a predictive term significantly improved model performance for both sponge presence and biomass. This study has demonstrated a way to produce a more accurate picture of the current distribution of VMEs in the study area. The pre-fishing scenario predictions also identified areas of suitable Geodia habitat that are currently impacted by fishing, suggesting that sponge habitat and biomass have been impacted by bottom trawling activities. 1054-3139 Versión del editor 2,277 |
format |
Article in Journal/Newspaper |
author |
Sacau-Cuadrado, M.M. (María del Mar) |
author_facet |
Sacau-Cuadrado, M.M. (María del Mar) |
author_sort |
Sacau-Cuadrado, M.M. (María del Mar) |
title |
Reconstructing baselines: use of habitat suitability modelling to predict pre-fishing condition of a Vulnerable Marine Ecosystem |
title_short |
Reconstructing baselines: use of habitat suitability modelling to predict pre-fishing condition of a Vulnerable Marine Ecosystem |
title_full |
Reconstructing baselines: use of habitat suitability modelling to predict pre-fishing condition of a Vulnerable Marine Ecosystem |
title_fullStr |
Reconstructing baselines: use of habitat suitability modelling to predict pre-fishing condition of a Vulnerable Marine Ecosystem |
title_full_unstemmed |
Reconstructing baselines: use of habitat suitability modelling to predict pre-fishing condition of a Vulnerable Marine Ecosystem |
title_sort |
reconstructing baselines: use of habitat suitability modelling to predict pre-fishing condition of a vulnerable marine ecosystem |
publisher |
Centro Oceanográfico de Vigo |
publishDate |
2021 |
url |
http://hdl.handle.net/10508/11596 https://doi.org/10.1093/icesjms/fsab154 |
op_coverage |
Océan atlantique Atlantique Nord Atlantic Ocean Atlántico Norte NAFO Océano Atlántico North Atlantic |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
1054-3139 http://hdl.handle.net/10508/11596 ICES Journal Of Marine Science, 0. 2021: 1-13 doi:10.1093/icesjms/fsab154 |
op_rights |
Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ openAccess |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.1093/icesjms/fsab154 |
container_title |
ICES Journal of Marine Science |
_version_ |
1766133242968145920 |