To be or not to be a target: that is the question to manage mixed fisheries
Abstract Simulation models are used extensively to evaluate the performance of fisheries management strategies, though they must be validated to ensure that they accurately represent the real system. One of the quantitative methods available to advance in the process of validating simulation models...
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Online Access: | http://dx.doi.org/10.1093/icesjms/fsab128 https://academic.oup.com/icesjms/article-pdf/78/7/2562/41746810/fsab128.pdf |
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croxfordunivpr:10.1093/icesjms/fsab128 2023-05-15T17:41:30+02:00 To be or not to be a target: that is the question to manage mixed fisheries Garcia, Dorleta Arostegui, Inmaculada Prellezo, Raúl Anderson, Emory Basque Government MINECO MATHMODE Consolidated Research Group 2021 http://dx.doi.org/10.1093/icesjms/fsab128 https://academic.oup.com/icesjms/article-pdf/78/7/2562/41746810/fsab128.pdf en eng Oxford University Press (OUP) https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model ICES Journal of Marine Science volume 78, issue 7, page 2562-2578 ISSN 1054-3139 1095-9289 Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography journal-article 2021 croxfordunivpr https://doi.org/10.1093/icesjms/fsab128 2022-04-15T06:33:35Z Abstract Simulation models are used extensively to evaluate the performance of fisheries management strategies, though they must be validated to ensure that they accurately represent the real system. One of the quantitative methods available to advance in the process of validating simulation models is global sensitivity analysis (GSA). However, its use in fisheries management has been very limited. When GSA is applied to management strategy evaluation implementations, it can also help manage available resources efficiently with respect to uncertainty in the management process and the conditioning of simulation models. Mixed-fisheries management plans were recently implemented for demersal fisheries in the Northeast Atlantic, which were evaluated previously using complex bioeconomic models. Here, we applied GSA to the model used in Iberian waters, employing an efficient model design to introduce uncertainty in every single input factor. While most biological factors contributed significantly to the variance of results, only few economic factors did. Moreover, we found that increasing accuracy in the stock assessment process would mainly impact management advice and that only the management of target stocks had a real impact on the system. This highlights the importance of properly managing hake (Merluccius merluccius), which is currently managed using an empirical harvest control rule. Article in Journal/Newspaper Northeast Atlantic Oxford University Press (via Crossref) Hake ENVELOPE(15.612,15.612,66.797,66.797) ICES Journal of Marine Science |
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 Garcia, Dorleta Arostegui, Inmaculada Prellezo, Raúl To be or not to be a target: that is the question to manage mixed fisheries |
topic_facet |
Ecology Aquatic Science Ecology, Evolution, Behavior and Systematics Oceanography |
description |
Abstract Simulation models are used extensively to evaluate the performance of fisheries management strategies, though they must be validated to ensure that they accurately represent the real system. One of the quantitative methods available to advance in the process of validating simulation models is global sensitivity analysis (GSA). However, its use in fisheries management has been very limited. When GSA is applied to management strategy evaluation implementations, it can also help manage available resources efficiently with respect to uncertainty in the management process and the conditioning of simulation models. Mixed-fisheries management plans were recently implemented for demersal fisheries in the Northeast Atlantic, which were evaluated previously using complex bioeconomic models. Here, we applied GSA to the model used in Iberian waters, employing an efficient model design to introduce uncertainty in every single input factor. While most biological factors contributed significantly to the variance of results, only few economic factors did. Moreover, we found that increasing accuracy in the stock assessment process would mainly impact management advice and that only the management of target stocks had a real impact on the system. This highlights the importance of properly managing hake (Merluccius merluccius), which is currently managed using an empirical harvest control rule. |
author2 |
Anderson, Emory Basque Government MINECO MATHMODE Consolidated Research Group |
format |
Article in Journal/Newspaper |
author |
Garcia, Dorleta Arostegui, Inmaculada Prellezo, Raúl |
author_facet |
Garcia, Dorleta Arostegui, Inmaculada Prellezo, Raúl |
author_sort |
Garcia, Dorleta |
title |
To be or not to be a target: that is the question to manage mixed fisheries |
title_short |
To be or not to be a target: that is the question to manage mixed fisheries |
title_full |
To be or not to be a target: that is the question to manage mixed fisheries |
title_fullStr |
To be or not to be a target: that is the question to manage mixed fisheries |
title_full_unstemmed |
To be or not to be a target: that is the question to manage mixed fisheries |
title_sort |
to be or not to be a target: that is the question to manage mixed fisheries |
publisher |
Oxford University Press (OUP) |
publishDate |
2021 |
url |
http://dx.doi.org/10.1093/icesjms/fsab128 https://academic.oup.com/icesjms/article-pdf/78/7/2562/41746810/fsab128.pdf |
long_lat |
ENVELOPE(15.612,15.612,66.797,66.797) |
geographic |
Hake |
geographic_facet |
Hake |
genre |
Northeast Atlantic |
genre_facet |
Northeast Atlantic |
op_source |
ICES Journal of Marine Science volume 78, issue 7, page 2562-2578 ISSN 1054-3139 1095-9289 |
op_rights |
https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model |
op_doi |
https://doi.org/10.1093/icesjms/fsab128 |
container_title |
ICES Journal of Marine Science |
_version_ |
1766143084490391552 |