Reconstructing baselines: Use of habitat suitability modelling to predict pre-fishing condition of a Vulnerable Marine Ecosystem
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 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.
baseline, benthic habitat, bottom trawling, deep sea, habitat distribution, habitat suitability modelling, human impact, Vulnerable Marine Ecosystems
2784-2796
Downie, Anna Leena
3532883a-42a2-4ae0-9fb4-d7ca80e94a7d
Piechaud, Nils
004a70e4-06d7-47e8-9e58-0bb5871c509e
Howell, Kerry
132cbbec-cff1-4e99-bca9-4c10df7a2a6f
Barrio Froján, Christopher
4935e7ee-ac0f-41bd-b00b-2c5806561d74
Sacau, Mar
30c46527-7234-435d-9515-d6c25319045f
Kenny, Andrew
ca578559-e62d-449d-9f95-e819d4404166
1 November 2021
Downie, Anna Leena
3532883a-42a2-4ae0-9fb4-d7ca80e94a7d
Piechaud, Nils
004a70e4-06d7-47e8-9e58-0bb5871c509e
Howell, Kerry
132cbbec-cff1-4e99-bca9-4c10df7a2a6f
Barrio Froján, Christopher
4935e7ee-ac0f-41bd-b00b-2c5806561d74
Sacau, Mar
30c46527-7234-435d-9515-d6c25319045f
Kenny, Andrew
ca578559-e62d-449d-9f95-e819d4404166
Downie, Anna Leena, Piechaud, Nils, Howell, Kerry and Barrio Froján, Christopher
,
et al.
(2021)
Reconstructing baselines: Use of habitat suitability modelling to predict pre-fishing condition of a Vulnerable Marine Ecosystem.
ICES Journal of Marine Science, 78 (8), .
(doi:10.1093/icesjms/fsab154).
Abstract
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.
This record has no associated files available for download.
More information
Accepted/In Press date: 27 July 2021
Published date: 1 November 2021
Additional Information:
© Crown copyright 2021.
This article contains public sector information licensed under the Open Government Licence v3.0 (http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/).
Keywords:
baseline, benthic habitat, bottom trawling, deep sea, habitat distribution, habitat suitability modelling, human impact, Vulnerable Marine Ecosystems
Identifiers
Local EPrints ID: 479900
URI: http://eprints.soton.ac.uk/id/eprint/479900
ISSN: 1054-3139
PURE UUID: 130cd1fc-a1ae-48a8-939d-0617366ca196
Catalogue record
Date deposited: 28 Jul 2023 16:46
Last modified: 17 Mar 2024 04:19
Export record
Altmetrics
Contributors
Author:
Anna Leena Downie
Author:
Nils Piechaud
Author:
Kerry Howell
Author:
Christopher Barrio Froján
Author:
Mar Sacau
Author:
Andrew Kenny
Corporate Author: et al.
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics