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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Online Access: | https://doi.org/10.1111/nrm.12279 https://repositorio.uchile.cl/handle/2250/176755 |
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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 |
_version_ |
1766162533584994304 |