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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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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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 |
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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 |
_version_ |
1778143762973720576 |