Consideration of uncertainty in the design and use of harvest control rules
Harvest control rules are widely used by management agencies for decision-making and for promoting public awareness of the status of marine and freshwater fisheries. Many current control rules combine fishing mortality and biomass-based biological reference points. Control rules were introduced as a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Consejo Superior de Investigaciones Científicas
2010-06-01
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| Series: | Scientia Marina |
| Subjects: | |
| Online Access: | http://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/1167 |
| _version_ | 1818938931129876480 |
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| author | Yan Jiao Kevin Reid Tom Nudds |
| author_facet | Yan Jiao Kevin Reid Tom Nudds |
| author_sort | Yan Jiao |
| collection | DOAJ |
| description | Harvest control rules are widely used by management agencies for decision-making and for promoting public awareness of the status of marine and freshwater fisheries. Many current control rules combine fishing mortality and biomass-based biological reference points. Control rules were introduced as a precaution against the influence of uncertainty and to decrease the risk of overfishing, but are compromised if the uncertainties of the biological reference points are not explicitly considered. Uncertainty has been widely acknowledged but has not been incorporated into control rule design and application. In this paper, we used a Bayesian statistical catch-at-age model to estimate uncertainties in the indicators of fishing mortality, population size, and biological reference points. We apply this model to the Lake Erie walleye (Sander vitreus) fishery, and by fully considering the uncertainty of the indicators, the risk of overfishing and the risk of the population being overfished can be explicitly estimated in the control rules. We suggest short and long-term approaches to incorporate uncertainty in the design of control rules. We also suggest that control rules for specific fisheries should be designed with explicit consideration of the uncertainty of the biological reference points, based on a risk level that the management agency and stakeholders agree upon. |
| first_indexed | 2024-12-20T06:15:41Z |
| format | Article |
| id | doaj.art-02a35bbf62864adbbcc56166bebe9bf6 |
| institution | Directory Open Access Journal |
| issn | 0214-8358 1886-8134 |
| language | English |
| last_indexed | 2024-12-20T06:15:41Z |
| publishDate | 2010-06-01 |
| publisher | Consejo Superior de Investigaciones Científicas |
| record_format | Article |
| series | Scientia Marina |
| spelling | doaj.art-02a35bbf62864adbbcc56166bebe9bf62022-12-21T19:50:33ZengConsejo Superior de Investigaciones CientíficasScientia Marina0214-83581886-81342010-06-0174237138410.3989/scimar.2010.74n23711157Consideration of uncertainty in the design and use of harvest control rulesYan Jiao0Kevin Reid1Tom Nudds2Department of Fisheries and Wildlife Sciences, Virginia Polytechnic Institute and State UniversityOntario Commercial Fisheries AssociationDepartment of Integrative Biology, University of GuelphHarvest control rules are widely used by management agencies for decision-making and for promoting public awareness of the status of marine and freshwater fisheries. Many current control rules combine fishing mortality and biomass-based biological reference points. Control rules were introduced as a precaution against the influence of uncertainty and to decrease the risk of overfishing, but are compromised if the uncertainties of the biological reference points are not explicitly considered. Uncertainty has been widely acknowledged but has not been incorporated into control rule design and application. In this paper, we used a Bayesian statistical catch-at-age model to estimate uncertainties in the indicators of fishing mortality, population size, and biological reference points. We apply this model to the Lake Erie walleye (Sander vitreus) fishery, and by fully considering the uncertainty of the indicators, the risk of overfishing and the risk of the population being overfished can be explicitly estimated in the control rules. We suggest short and long-term approaches to incorporate uncertainty in the design of control rules. We also suggest that control rules for specific fisheries should be designed with explicit consideration of the uncertainty of the biological reference points, based on a risk level that the management agency and stakeholders agree upon.http://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/1167harvest control rulefishery status evaluationuncertaintydecision-makingbayesian analysis |
| spellingShingle | Yan Jiao Kevin Reid Tom Nudds Consideration of uncertainty in the design and use of harvest control rules Scientia Marina harvest control rule fishery status evaluation uncertainty decision-making bayesian analysis |
| title | Consideration of uncertainty in the design and use of harvest control rules |
| title_full | Consideration of uncertainty in the design and use of harvest control rules |
| title_fullStr | Consideration of uncertainty in the design and use of harvest control rules |
| title_full_unstemmed | Consideration of uncertainty in the design and use of harvest control rules |
| title_short | Consideration of uncertainty in the design and use of harvest control rules |
| title_sort | consideration of uncertainty in the design and use of harvest control rules |
| topic | harvest control rule fishery status evaluation uncertainty decision-making bayesian analysis |
| url | http://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/1167 |
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