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Fishery Management: The Consequences of Honest Mistakes in a Stochastic Environment

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dc.contributor.author Conrad, Jon M. en_US
dc.contributor.author Lopez, Andres en_US
dc.contributor.author Bjorndal, Trond en_US
dc.date.accessioned 2009-07-31T15:12:38Z
dc.date.available 2009-07-31T15:12:38Z
dc.date.issued 1988 en_US
dc.date.submitted 2009-05-12 en_US
dc.date.submitted 2009-05-12 en_US
dc.identifier.uri https://hdl.handle.net/10535/4091
dc.description.abstract "A recent article by Lauck et al. (1998) questions our ability to manage marine fisheries in the face of "persistent and irreducible scientific uncertainty." This paper examines the role that a safe minimum biomass level (SMBL) might play when stochastic recruitment is compounded by unbiased (honest) observation error. Specifically, a bioeconomic optimum is combined with a 5MBL to formulate a linear, total allowable catch (TAC) policy. In a deterministic world such a policy may asymptotically guide an overfished stock to the optimum. In a stochastiC model, the TAC policy will result in a distribution of stock and harvest about the bioeconomic optimum. The approach is applied to the Norwegian spring-spawning herring, a once abundant and highly migratory species in the northeast Atlantic. The effectiveness of the proposed 5MBL for spring-spawning herring is examined with stochastic recruitment, and observation error. Observation error greatly increases the coefficient of variation for harvest, and may allow the stock to (unknowingly) fall below the 5MBL." en_US
dc.relation.ispartofseries Working Paper Series in Environmental & Resource Economics, ERE 98-02 en_US
dc.subject fisheries en_US
dc.subject resource management en_US
dc.subject herring en_US
dc.title Fishery Management: The Consequences of Honest Mistakes in a Stochastic Environment en_US
dc.type Working Paper en_US
dc.publisher.workingpaperseries Department of Agricultural, Resource, and Managerial Economics, Cornell University, Ithaca, NY en_US
dc.coverage.region Europe en_US
dc.coverage.country Norway en_US
dc.subject.sector Fisheries en_US


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