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...
Published in: | ICES Journal of Marine Science |
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Language: | English |
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2021
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Online Access: | http://hdl.handle.net/10508/16004 http://hdl.handle.net/10261/327221 https://doi.org/10.1093/icesjms/fsab154 |
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ftcsic:oai:digital.csic.es:10261/327221 2024-02-11T10:06:32+01:00 Reconstructing baselines: use of habitat suitability modelling to predict pre-fishing condition of a Vulnerable Marine Ecosystem Anna-Leena Downie Nils Piechaud KerryHowell Christopher Barrio Froján Sacau-Cuadrado, María del Mar Andrew Kenny Océan atlantique Atlantique Nord Atlantic Ocean Atlántico Norte NAFO Océano Atlántico North Atlantic 2021-07-27 http://hdl.handle.net/10508/16004 http://hdl.handle.net/10261/327221 https://doi.org/10.1093/icesjms/fsab154 en eng Centro Oceanográfico de Vigo VoR ICES Journal Of Marine Science, 0. 2021: 1-13 1054-3139 http://hdl.handle.net/10508/16004 http://hdl.handle.net/10261/327221 https://doi.org/10.1093/icesjms/fsab154 50320 open baseline Centro Oceanográfico de Vigo Pesquerías benthic habitat bottom trawling deep sea habitat distribution habitat suitability modelling human impact vulnerable marine ecosystem fish habitat ecology artículo http://purl.org/coar/resource_type/c_6501 2021 ftcsic https://doi.org/10.1093/icesjms/fsab154 2024-01-16T11:48:53Z 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. SI Article in Journal/Newspaper North Atlantic Digital.CSIC (Spanish National Research Council) ICES Journal of Marine Science 78 8 2784 2796 |
institution |
Open Polar |
collection |
Digital.CSIC (Spanish National Research Council) |
op_collection_id |
ftcsic |
language |
English |
topic |
baseline Centro Oceanográfico de Vigo Pesquerías benthic habitat bottom trawling deep sea habitat distribution habitat suitability modelling human impact vulnerable marine ecosystem fish habitat ecology |
spellingShingle |
baseline Centro Oceanográfico de Vigo Pesquerías benthic habitat bottom trawling deep sea habitat distribution habitat suitability modelling human impact vulnerable marine ecosystem fish habitat ecology Anna-Leena Downie Nils Piechaud KerryHowell Christopher Barrio Froján Sacau-Cuadrado, María del Mar Andrew Kenny Reconstructing baselines: use of habitat suitability modelling to predict pre-fishing condition of a Vulnerable Marine Ecosystem |
topic_facet |
baseline Centro Oceanográfico de Vigo Pesquerías benthic habitat bottom trawling deep sea habitat distribution habitat suitability modelling human impact vulnerable marine ecosystem fish 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. SI |
format |
Article in Journal/Newspaper |
author |
Anna-Leena Downie Nils Piechaud KerryHowell Christopher Barrio Froján Sacau-Cuadrado, María del Mar Andrew Kenny |
author_facet |
Anna-Leena Downie Nils Piechaud KerryHowell Christopher Barrio Froján Sacau-Cuadrado, María del Mar Andrew Kenny |
author_sort |
Anna-Leena Downie |
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 |
publishDate |
2021 |
url |
http://hdl.handle.net/10508/16004 http://hdl.handle.net/10261/327221 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 |
Centro Oceanográfico de Vigo VoR ICES Journal Of Marine Science, 0. 2021: 1-13 1054-3139 http://hdl.handle.net/10508/16004 http://hdl.handle.net/10261/327221 https://doi.org/10.1093/icesjms/fsab154 50320 |
op_rights |
open |
op_doi |
https://doi.org/10.1093/icesjms/fsab154 |
container_title |
ICES Journal of Marine Science |
container_volume |
78 |
container_issue |
8 |
container_start_page |
2784 |
op_container_end_page |
2796 |
_version_ |
1790604324025401344 |