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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/233829
Ver los metadatos del registro completo
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oai:ri.conicet.gov.ar:11336/233829 |
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3498 |
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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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1844613380826988544 |
score |
13.070432 |