The University of Southampton
University of Southampton Institutional Repository

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
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
1054-3139
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
et al.
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), 2784-2796. (doi:10.1093/icesjms/fsab154).

Record type: Article

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
ORCID for Christopher Barrio Froján: ORCID iD orcid.org/0000-0001-5562-5508

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 ORCID iD
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

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×