The role of uncertainty in the design of sustainable and precautionary management strategies for fisheries

Environmental variability has a strong influence on marine fish stocks. Thus, management and harvest policies based on deterministic indicators, such as maximum sustainable yield (MSY), may be inappropriate facing such uncertainties. In this study, we investigate the long‐term behavior of a singlesp...

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Published in:Natural Resource Modeling
Main Authors: Riquelme, Víctor, Quinn II, Terrance J., Ramírez Cabrera, Héctor
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2020
Subjects:
Online Access:https://doi.org/10.1111/nrm.12279
https://repositorio.uchile.cl/handle/2250/176755
id ftunivchile:oai:repositorio.uchile.cl:2250/176755
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spelling ftunivchile:oai:repositorio.uchile.cl:2250/176755 2023-05-15T17:54:44+02:00 The role of uncertainty in the design of sustainable and precautionary management strategies for fisheries Riquelme, Víctor Quinn II, Terrance J. Ramírez Cabrera, Héctor 2020 application/pdf https://doi.org/10.1111/nrm.12279 https://repositorio.uchile.cl/handle/2250/176755 en eng Wiley Natural Resource Modeling. 2020; 33: e12279 doi:10.1111/nrm.12279 https://repositorio.uchile.cl/handle/2250/176755 Attribution-NonCommercial-NoDerivs 3.0 Chile http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ CC-BY-NC-ND Natural Resource Modeling Biological reference points Fishery management Optimal sustainable harvesting Stochastic age‐structured models Artículo de revista 2020 ftunivchile https://doi.org/10.1111/nrm.12279 2022-12-25T00:50:55Z Environmental variability has a strong influence on marine fish stocks. Thus, management and harvest policies based on deterministic indicators, such as maximum sustainable yield (MSY), may be inappropriate facing such uncertainties. In this study, we investigate the long‐term behavior of a singlespecies fishery, whose stock is harvested by several fleets and affected by variability in the recruitment. The dynamics of this population is modeled by a discrete‐time stochastic age‐structured model. In this context, we introduce the concepts of maximum expected, log expected, and harmonic expected sustainable yield, as biological reference points. We illustrate these concepts with a case study of the Patagonian toothfish fishery in Chile and Argentina. Via Monte‐Carlo simulations, we verify that high levels of variability have a negative effect on all these maximum expected reference points, which suggests the need to be more cautious when large levels of variability on recruitment impact the fishery. Our simulations show that the deterministic MSY may not be attained in the presence of environmental noise, and therefore its use may lead to a failure of management strategies or rebuilding plans. Agencia Nacional de Investigación y Desarrollo Basal CMM-AFB 170001 Fondecyt 1160204 Fondecyt 1201982 Fondecyt 3180367 Article in Journal/Newspaper Patagonian Toothfish Universidad de Chile: Repositorio académico Argentina Natural Resource Modeling 33 3
institution Open Polar
collection Universidad de Chile: Repositorio académico
op_collection_id ftunivchile
language English
topic Biological reference points
Fishery management
Optimal sustainable harvesting
Stochastic age‐structured models
spellingShingle Biological reference points
Fishery management
Optimal sustainable harvesting
Stochastic age‐structured models
Riquelme, Víctor
Quinn II, Terrance J.
Ramírez Cabrera, Héctor
The role of uncertainty in the design of sustainable and precautionary management strategies for fisheries
topic_facet Biological reference points
Fishery management
Optimal sustainable harvesting
Stochastic age‐structured models
description Environmental variability has a strong influence on marine fish stocks. Thus, management and harvest policies based on deterministic indicators, such as maximum sustainable yield (MSY), may be inappropriate facing such uncertainties. In this study, we investigate the long‐term behavior of a singlespecies fishery, whose stock is harvested by several fleets and affected by variability in the recruitment. The dynamics of this population is modeled by a discrete‐time stochastic age‐structured model. In this context, we introduce the concepts of maximum expected, log expected, and harmonic expected sustainable yield, as biological reference points. We illustrate these concepts with a case study of the Patagonian toothfish fishery in Chile and Argentina. Via Monte‐Carlo simulations, we verify that high levels of variability have a negative effect on all these maximum expected reference points, which suggests the need to be more cautious when large levels of variability on recruitment impact the fishery. Our simulations show that the deterministic MSY may not be attained in the presence of environmental noise, and therefore its use may lead to a failure of management strategies or rebuilding plans. Agencia Nacional de Investigación y Desarrollo Basal CMM-AFB 170001 Fondecyt 1160204 Fondecyt 1201982 Fondecyt 3180367
format Article in Journal/Newspaper
author Riquelme, Víctor
Quinn II, Terrance J.
Ramírez Cabrera, Héctor
author_facet Riquelme, Víctor
Quinn II, Terrance J.
Ramírez Cabrera, Héctor
author_sort Riquelme, Víctor
title The role of uncertainty in the design of sustainable and precautionary management strategies for fisheries
title_short The role of uncertainty in the design of sustainable and precautionary management strategies for fisheries
title_full The role of uncertainty in the design of sustainable and precautionary management strategies for fisheries
title_fullStr The role of uncertainty in the design of sustainable and precautionary management strategies for fisheries
title_full_unstemmed The role of uncertainty in the design of sustainable and precautionary management strategies for fisheries
title_sort role of uncertainty in the design of sustainable and precautionary management strategies for fisheries
publisher Wiley
publishDate 2020
url https://doi.org/10.1111/nrm.12279
https://repositorio.uchile.cl/handle/2250/176755
geographic Argentina
geographic_facet Argentina
genre Patagonian Toothfish
genre_facet Patagonian Toothfish
op_source Natural Resource Modeling
op_relation Natural Resource Modeling. 2020; 33: e12279
doi:10.1111/nrm.12279
https://repositorio.uchile.cl/handle/2250/176755
op_rights Attribution-NonCommercial-NoDerivs 3.0 Chile
http://creativecommons.org/licenses/by-nc-nd/3.0/cl/
op_rightsnorm CC-BY-NC-ND
op_doi https://doi.org/10.1111/nrm.12279
container_title Natural Resource Modeling
container_volume 33
container_issue 3
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