Method evaluation and risk assessment: A framework for evaluating management strategies for data-limited fisheries

Autores
Carruthers, Thomas R.; Huynh, Quang C.; Hordyk, Adrian R.; Newman, David; Smith, Anthony D. M.; Sainsbury, Keith J.; Stokes, Kevin; Morison, Alexander; Agnew, David; Parma, Ana María; Sobrino, Ignacio; Longo, Catherine
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fisheries managers are in need of quantitative tools to inform decisions regarding selection of robust management practices, prioritising research gaps and stocks to focus on, particularly where there are limited resources or data. To support these decisions, the use of Management Strategy Evaluation (MSE), that is, closed loop simulation-testing of management procedures, is widely regarded as best practice. However, applying MSE is time- and computationally intensive, and requires highly skilled expertise and processes for stakeholder input and peer review. For data- and capacity-limited fisheries, MSE may be particularly challenging to implement. Yet, these are the contexts where it is most critical to test assumptions, evaluate the implications of all sources of uncertainty and identify the most informative data sources. To facilitate wider use of MSE, the Method Evaluation and Risk Assessment (MERA) framework was developed as an accessible online interface, with quick processing time, focused on generic data-limited management procedures, but allowing progression to tailored and more data-rich methods. The framework links a quantitative questionnaire and data input standard to a flexible operating model with optional customisation via command line access to the back-end open-source R libraries. Here, we illustrate a case study application of MERA for the bocinegro (Pagrus pagrus, Sparidae) fishery in the Gulf of Cadiz, where in conjunction with fishery stakeholders, a custom management procedure was developed and tested and key research gaps and data collection priorities were identified. We discuss implications for wider use of MSE in various contexts, including eco-certification and fishery improvement projects.
Fil: Carruthers, Thomas R.. University of British Columbia; Canadá
Fil: Huynh, Quang C.. No especifíca;
Fil: Hordyk, Adrian R.. No especifíca;
Fil: Newman, David. No especifíca;
Fil: Smith, Anthony D. M.. University of Tasmania; Australia
Fil: Sainsbury, Keith J.. University of Tasmania; Australia
Fil: Stokes, Kevin. No especifíca;
Fil: Morison, Alexander. Morison Aquatic Sciences; Australia
Fil: Agnew, David. No especifíca;
Fil: Parma, Ana María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Centro para el Estudio de Sistemas Marinos; Argentina
Fil: Sobrino, Ignacio. No especifíca;
Fil: Longo, Catherine. No especifíca;
Materia
CAPACITY-LIMITED
ECO-CERTIFICATION
FISHERY IMPROVEMENT
MANAGEMENT PROCEDURE
MANAGEMENT STRATEGY EVALUATION
SIMULATION TESTING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/233829

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oai_identifier_str oai:ri.conicet.gov.ar:11336/233829
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Method evaluation and risk assessment: A framework for evaluating management strategies for data-limited fisheriesCarruthers, Thomas R.Huynh, Quang C.Hordyk, Adrian R.Newman, DavidSmith, Anthony D. M.Sainsbury, Keith J.Stokes, KevinMorison, AlexanderAgnew, DavidParma, Ana MaríaSobrino, IgnacioLongo, CatherineCAPACITY-LIMITEDECO-CERTIFICATIONFISHERY IMPROVEMENTMANAGEMENT PROCEDUREMANAGEMENT STRATEGY EVALUATIONSIMULATION TESTINGhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Fisheries managers are in need of quantitative tools to inform decisions regarding selection of robust management practices, prioritising research gaps and stocks to focus on, particularly where there are limited resources or data. To support these decisions, the use of Management Strategy Evaluation (MSE), that is, closed loop simulation-testing of management procedures, is widely regarded as best practice. However, applying MSE is time- and computationally intensive, and requires highly skilled expertise and processes for stakeholder input and peer review. For data- and capacity-limited fisheries, MSE may be particularly challenging to implement. Yet, these are the contexts where it is most critical to test assumptions, evaluate the implications of all sources of uncertainty and identify the most informative data sources. To facilitate wider use of MSE, the Method Evaluation and Risk Assessment (MERA) framework was developed as an accessible online interface, with quick processing time, focused on generic data-limited management procedures, but allowing progression to tailored and more data-rich methods. The framework links a quantitative questionnaire and data input standard to a flexible operating model with optional customisation via command line access to the back-end open-source R libraries. Here, we illustrate a case study application of MERA for the bocinegro (Pagrus pagrus, Sparidae) fishery in the Gulf of Cadiz, where in conjunction with fishery stakeholders, a custom management procedure was developed and tested and key research gaps and data collection priorities were identified. We discuss implications for wider use of MSE in various contexts, including eco-certification and fishery improvement projects.Fil: Carruthers, Thomas R.. University of British Columbia; CanadáFil: Huynh, Quang C.. No especifíca;Fil: Hordyk, Adrian R.. No especifíca;Fil: Newman, David. No especifíca;Fil: Smith, Anthony D. M.. University of Tasmania; AustraliaFil: Sainsbury, Keith J.. University of Tasmania; AustraliaFil: Stokes, Kevin. No especifíca;Fil: Morison, Alexander. Morison Aquatic Sciences; AustraliaFil: Agnew, David. No especifíca;Fil: Parma, Ana María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Centro para el Estudio de Sistemas Marinos; ArgentinaFil: Sobrino, Ignacio. No especifíca;Fil: Longo, Catherine. No especifíca;Wiley Blackwell Publishing, Inc2023-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/233829Carruthers, Thomas R.; Huynh, Quang C.; Hordyk, Adrian R.; Newman, David; Smith, Anthony D. M.; et al.; Method evaluation and risk assessment: A framework for evaluating management strategies for data-limited fisheries; Wiley Blackwell Publishing, Inc; Fish And Fisheries; 24; 2; 3-2023; 279-2961467-2960CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1111/faf.12726info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:43:52Zoai:ri.conicet.gov.ar:11336/233829instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:43:53.089CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Method evaluation and risk assessment: A framework for evaluating management strategies for data-limited fisheries
title Method evaluation and risk assessment: A framework for evaluating management strategies for data-limited fisheries
spellingShingle Method evaluation and risk assessment: A framework for evaluating management strategies for data-limited fisheries
Carruthers, Thomas R.
CAPACITY-LIMITED
ECO-CERTIFICATION
FISHERY IMPROVEMENT
MANAGEMENT PROCEDURE
MANAGEMENT STRATEGY EVALUATION
SIMULATION TESTING
title_short Method evaluation and risk assessment: A framework for evaluating management strategies for data-limited fisheries
title_full Method evaluation and risk assessment: A framework for evaluating management strategies for data-limited fisheries
title_fullStr Method evaluation and risk assessment: A framework for evaluating management strategies for data-limited fisheries
title_full_unstemmed Method evaluation and risk assessment: A framework for evaluating management strategies for data-limited fisheries
title_sort Method evaluation and risk assessment: A framework for evaluating management strategies for data-limited fisheries
dc.creator.none.fl_str_mv Carruthers, Thomas R.
Huynh, Quang C.
Hordyk, Adrian R.
Newman, David
Smith, Anthony D. M.
Sainsbury, Keith J.
Stokes, Kevin
Morison, Alexander
Agnew, David
Parma, Ana María
Sobrino, Ignacio
Longo, Catherine
author Carruthers, Thomas R.
author_facet Carruthers, Thomas R.
Huynh, Quang C.
Hordyk, Adrian R.
Newman, David
Smith, Anthony D. M.
Sainsbury, Keith J.
Stokes, Kevin
Morison, Alexander
Agnew, David
Parma, Ana María
Sobrino, Ignacio
Longo, Catherine
author_role author
author2 Huynh, Quang C.
Hordyk, Adrian R.
Newman, David
Smith, Anthony D. M.
Sainsbury, Keith J.
Stokes, Kevin
Morison, Alexander
Agnew, David
Parma, Ana María
Sobrino, Ignacio
Longo, Catherine
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv CAPACITY-LIMITED
ECO-CERTIFICATION
FISHERY IMPROVEMENT
MANAGEMENT PROCEDURE
MANAGEMENT STRATEGY EVALUATION
SIMULATION TESTING
topic CAPACITY-LIMITED
ECO-CERTIFICATION
FISHERY IMPROVEMENT
MANAGEMENT PROCEDURE
MANAGEMENT STRATEGY EVALUATION
SIMULATION TESTING
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Fisheries managers are in need of quantitative tools to inform decisions regarding selection of robust management practices, prioritising research gaps and stocks to focus on, particularly where there are limited resources or data. To support these decisions, the use of Management Strategy Evaluation (MSE), that is, closed loop simulation-testing of management procedures, is widely regarded as best practice. However, applying MSE is time- and computationally intensive, and requires highly skilled expertise and processes for stakeholder input and peer review. For data- and capacity-limited fisheries, MSE may be particularly challenging to implement. Yet, these are the contexts where it is most critical to test assumptions, evaluate the implications of all sources of uncertainty and identify the most informative data sources. To facilitate wider use of MSE, the Method Evaluation and Risk Assessment (MERA) framework was developed as an accessible online interface, with quick processing time, focused on generic data-limited management procedures, but allowing progression to tailored and more data-rich methods. The framework links a quantitative questionnaire and data input standard to a flexible operating model with optional customisation via command line access to the back-end open-source R libraries. Here, we illustrate a case study application of MERA for the bocinegro (Pagrus pagrus, Sparidae) fishery in the Gulf of Cadiz, where in conjunction with fishery stakeholders, a custom management procedure was developed and tested and key research gaps and data collection priorities were identified. We discuss implications for wider use of MSE in various contexts, including eco-certification and fishery improvement projects.
Fil: Carruthers, Thomas R.. University of British Columbia; Canadá
Fil: Huynh, Quang C.. No especifíca;
Fil: Hordyk, Adrian R.. No especifíca;
Fil: Newman, David. No especifíca;
Fil: Smith, Anthony D. M.. University of Tasmania; Australia
Fil: Sainsbury, Keith J.. University of Tasmania; Australia
Fil: Stokes, Kevin. No especifíca;
Fil: Morison, Alexander. Morison Aquatic Sciences; Australia
Fil: Agnew, David. No especifíca;
Fil: Parma, Ana María. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Centro para el Estudio de Sistemas Marinos; Argentina
Fil: Sobrino, Ignacio. No especifíca;
Fil: Longo, Catherine. No especifíca;
description Fisheries managers are in need of quantitative tools to inform decisions regarding selection of robust management practices, prioritising research gaps and stocks to focus on, particularly where there are limited resources or data. To support these decisions, the use of Management Strategy Evaluation (MSE), that is, closed loop simulation-testing of management procedures, is widely regarded as best practice. However, applying MSE is time- and computationally intensive, and requires highly skilled expertise and processes for stakeholder input and peer review. For data- and capacity-limited fisheries, MSE may be particularly challenging to implement. Yet, these are the contexts where it is most critical to test assumptions, evaluate the implications of all sources of uncertainty and identify the most informative data sources. To facilitate wider use of MSE, the Method Evaluation and Risk Assessment (MERA) framework was developed as an accessible online interface, with quick processing time, focused on generic data-limited management procedures, but allowing progression to tailored and more data-rich methods. The framework links a quantitative questionnaire and data input standard to a flexible operating model with optional customisation via command line access to the back-end open-source R libraries. Here, we illustrate a case study application of MERA for the bocinegro (Pagrus pagrus, Sparidae) fishery in the Gulf of Cadiz, where in conjunction with fishery stakeholders, a custom management procedure was developed and tested and key research gaps and data collection priorities were identified. We discuss implications for wider use of MSE in various contexts, including eco-certification and fishery improvement projects.
publishDate 2023
dc.date.none.fl_str_mv 2023-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/233829
Carruthers, Thomas R.; Huynh, Quang C.; Hordyk, Adrian R.; Newman, David; Smith, Anthony D. M.; et al.; Method evaluation and risk assessment: A framework for evaluating management strategies for data-limited fisheries; Wiley Blackwell Publishing, Inc; Fish And Fisheries; 24; 2; 3-2023; 279-296
1467-2960
CONICET Digital
CONICET
url http://hdl.handle.net/11336/233829
identifier_str_mv Carruthers, Thomas R.; Huynh, Quang C.; Hordyk, Adrian R.; Newman, David; Smith, Anthony D. M.; et al.; Method evaluation and risk assessment: A framework for evaluating management strategies for data-limited fisheries; Wiley Blackwell Publishing, Inc; Fish And Fisheries; 24; 2; 3-2023; 279-296
1467-2960
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1111/faf.12726
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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