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dc.contributor.authorClark, Richard D., Jr.en
dc.contributor.authorLackey, Robert T.en
dc.date.accessioned2019-09-11T19:58:54Z
dc.date.available2019-09-11T19:58:54Z
dc.date.issued1975en
dc.identifier.urihttp://hdl.handle.net/10919/93571
dc.description.abstractA basic job of fisheries management agencies is to forecast the demand and produce the necessary supply of fishing opportunities. Present day angling consumption rates often exceed managers' ability to supply fishing opportunities of the desired quality. Therefore, a primary means for improving fisheries management may be to regulate angling consumption. Operations research techniques are well suited for handling the complexities involved with planning multiple action policies for regulating angler consumption. PISCES is a computer-implemented simulator of the inland fisheries management system of Tennessee, but is adaptable for use in any state. The purpose of PISCES is to aid in planning fisheries management decision policies at the macro-level. PISCES generates predictions of how fisheries management agency activities will affect angler use for a fiscal year. Subjective probability distributions for random variables and Monte Carlo simulation techniques are employed to produce an expected value and standard deviation for each prediction. Test runs under realistic hypothetical situations and discussions with personnel of Tennessee Wildlife Resources Agency suggest that PISCES may help fisheries management agencies to improve budget allocation decisions, to formulate multiple action policies for regulating angler use, and to enhance fisheries development. A hypothetical application of PISCES in Tennessee is given.en
dc.description.sponsorshipSupported by the Division of Federal Aid, Fish and Wildlife Service, United States Department of the Interior.en
dc.format.extent187 pagesen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherVirginia Tech. Division of Forestry and Wildlife Resourcesen
dc.relation.ispartofseriesFWS-3-75en
dc.rightsIn Copyright (InC)en
dc.rightsThis Item is protected by copyright and/or related rights. Some uses of this Item may be deemed fair and permitted by law even without permission from the rights holder(s). For other uses you need to obtain permission from the rights holder(s).en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleComputer-Implemented Simulation as a Planning Aid for State Fisheries Management Agenciesen
dc.typeReporten
dc.contributor.departmentForest Resources and Environmental Conservationen_US
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen
dc.identifier.sourceurlhttps://frec.vt.edu/content/dam/frec_vt_edu/research/fws/FWS-3-75.pdfen


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