Open AccessIN‐SEASON FISHERY MANAGEMENT: A BAYESIAN MODEL
Author(s) -
Charles Anthony T.
Publication year - 1988
Publication title -
natural resource modeling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.28
H-Index - 32
eISSN - 1939-7445
pISSN - 0890-8575
DOI - 10.1111/j.1939-7445.1988.tb00048.x
Subject(s) - fishing , stock (firearms) , fishery , fish stock , bayesian probability , fisheries management , environmental science , geography , statistics , mathematics , biology , archaeology
A Bayesian model is presented for optimizing harvest rates on an uncertain resource stock during the course of a fishing season. Pre‐season stock status information, in the form of a “prior” probability distribution, is updated using new data obtained through the operation of the fishery, and harvest rates are chosen to achieve a balance between conservation concerns and fishing interests. A series of fishery scenarios are considered, determined by the stock size distribution and the timing distribution; the uncertainty in the fish stock is seen to have a rather complex influence on optimal harvest rates. The model is applied to a specific example, the Skeena River sockeye salmon fishery.