Evaluating deepwater fisheries management strategies using a mixed-fisheries and spatially explicit modelling framework

Abstract Marchal, P., and Vermard, Y. 2013. Evaluating deepwater fisheries management strategies using a mixed-fisheries and spatially explicit modelling framework. – ICES Journal of Marine Science, 70: 768–781. We have used in this study a spatially explicit bioeconomic modelling framework to evalu...

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Published in:ICES Journal of Marine Science
Main Authors: Marchal, Paul, Vermard, Youen
Format: Article in Journal/Newspaper
Language:English
Published: Oxford University Press (OUP) 2013
Subjects:
Online Access:http://dx.doi.org/10.1093/icesjms/fst073
http://academic.oup.com/icesjms/article-pdf/70/4/768/29145227/fst073.pdf
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spelling croxfordunivpr:10.1093/icesjms/fst073 2023-09-26T15:20:11+02:00 Evaluating deepwater fisheries management strategies using a mixed-fisheries and spatially explicit modelling framework Marchal, Paul Vermard, Youen 2013 http://dx.doi.org/10.1093/icesjms/fst073 http://academic.oup.com/icesjms/article-pdf/70/4/768/29145227/fst073.pdf en eng Oxford University Press (OUP) ICES Journal of Marine Science volume 70, issue 4, page 768-781 ISSN 1095-9289 1054-3139 Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography journal-article 2013 croxfordunivpr https://doi.org/10.1093/icesjms/fst073 2023-08-25T11:36:32Z Abstract Marchal, P., and Vermard, Y. 2013. Evaluating deepwater fisheries management strategies using a mixed-fisheries and spatially explicit modelling framework. – ICES Journal of Marine Science, 70: 768–781. We have used in this study a spatially explicit bioeconomic modelling framework to evaluate management strategies, building in both data-rich and data-limited harvest control rules (HCRs), for a mix of deepwater fleets and species, on which information is variable. The main focus was on blue ling (Molva dypterygia). For that species, both data-rich and data-limited HCRs were tested, while catch per unit effort (CPUE) was used either to tune stock assessments, or to directly trigger management action. There were only limited differences between the performances of both HCRs when blue ling biomass was initialized at the current level, but blue ling recovered more quickly with the data-rich HCR when its initial biomass was severely depleted. Both types of HCR lead, on average, to a long-term recovery of both blue ling and saithe (Pollachius virens) stocks, and some increase in overall profit. However, that improvement is not sufficient to guarantee sustainable exploitation with a high probability. Blue ling CPUE did not always adequately reflect trends in biomass, which mainly resulted from fleet dynamics, possibly in combination with density-dependence. The stock dynamics of roundnose grenadier (Coryphaenoides rupestris), black scabbardfish (Aphanopus carbo) and deepwater sharks (Centrophorus squamosus and Centroscymnus coelolepis) were little affected by the type of HCR chosen to manage blue ling. Article in Journal/Newspaper Molva dypterygia Oxford University Press (via Crossref) ICES Journal of Marine Science 70 4 768 781
institution Open Polar
collection Oxford University Press (via Crossref)
op_collection_id croxfordunivpr
language English
topic Ecology
Aquatic Science
Ecology, Evolution, Behavior and Systematics
Oceanography
spellingShingle Ecology
Aquatic Science
Ecology, Evolution, Behavior and Systematics
Oceanography
Marchal, Paul
Vermard, Youen
Evaluating deepwater fisheries management strategies using a mixed-fisheries and spatially explicit modelling framework
topic_facet Ecology
Aquatic Science
Ecology, Evolution, Behavior and Systematics
Oceanography
description Abstract Marchal, P., and Vermard, Y. 2013. Evaluating deepwater fisheries management strategies using a mixed-fisheries and spatially explicit modelling framework. – ICES Journal of Marine Science, 70: 768–781. We have used in this study a spatially explicit bioeconomic modelling framework to evaluate management strategies, building in both data-rich and data-limited harvest control rules (HCRs), for a mix of deepwater fleets and species, on which information is variable. The main focus was on blue ling (Molva dypterygia). For that species, both data-rich and data-limited HCRs were tested, while catch per unit effort (CPUE) was used either to tune stock assessments, or to directly trigger management action. There were only limited differences between the performances of both HCRs when blue ling biomass was initialized at the current level, but blue ling recovered more quickly with the data-rich HCR when its initial biomass was severely depleted. Both types of HCR lead, on average, to a long-term recovery of both blue ling and saithe (Pollachius virens) stocks, and some increase in overall profit. However, that improvement is not sufficient to guarantee sustainable exploitation with a high probability. Blue ling CPUE did not always adequately reflect trends in biomass, which mainly resulted from fleet dynamics, possibly in combination with density-dependence. The stock dynamics of roundnose grenadier (Coryphaenoides rupestris), black scabbardfish (Aphanopus carbo) and deepwater sharks (Centrophorus squamosus and Centroscymnus coelolepis) were little affected by the type of HCR chosen to manage blue ling.
format Article in Journal/Newspaper
author Marchal, Paul
Vermard, Youen
author_facet Marchal, Paul
Vermard, Youen
author_sort Marchal, Paul
title Evaluating deepwater fisheries management strategies using a mixed-fisheries and spatially explicit modelling framework
title_short Evaluating deepwater fisheries management strategies using a mixed-fisheries and spatially explicit modelling framework
title_full Evaluating deepwater fisheries management strategies using a mixed-fisheries and spatially explicit modelling framework
title_fullStr Evaluating deepwater fisheries management strategies using a mixed-fisheries and spatially explicit modelling framework
title_full_unstemmed Evaluating deepwater fisheries management strategies using a mixed-fisheries and spatially explicit modelling framework
title_sort evaluating deepwater fisheries management strategies using a mixed-fisheries and spatially explicit modelling framework
publisher Oxford University Press (OUP)
publishDate 2013
url http://dx.doi.org/10.1093/icesjms/fst073
http://academic.oup.com/icesjms/article-pdf/70/4/768/29145227/fst073.pdf
genre Molva dypterygia
genre_facet Molva dypterygia
op_source ICES Journal of Marine Science
volume 70, issue 4, page 768-781
ISSN 1095-9289 1054-3139
op_doi https://doi.org/10.1093/icesjms/fst073
container_title ICES Journal of Marine Science
container_volume 70
container_issue 4
container_start_page 768
op_container_end_page 781
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