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dc.contributor.authorMcPherson, Scott A.
dc.date.accessioned2017-04-05T01:18:31Z
dc.date.available2017-04-05T01:18:31Z
dc.date.issued1990-09
dc.identifier.urihttp://hdl.handle.net/11122/7368
dc.descriptionThesis (M.S.) University of Alaska Fairbanks, 1990en_US
dc.description.abstractAn in-season management system was developed for four stocks of sockeye salmon (Oncorhynchus nerka) from Chilkoot and Chilkat Lakes in Southeast Alaska, using a total run (catch + escapement) database built from analysis of 132,000 scale samples. Separate management objectives were defined for early and late stocks from each lake. A Ricker model, with nonlinear least squares and a bootstrap procedure, was used to estimate optimal escapement levels, which were lower than previous estimates, and precision bounds. Comparison of several in-season forecasting models based on run timing showed that a model combining a preseason forecast with average proportion forecasts was most accurate. Average proportion forecasts were improved by timing shifts identified by inflection points. Linear regression was used to forecast Chilkat Lake escapement in-season. Accuracy of the best forecasting models for each analysis was ≤ 25% by the first quartile of abundance.en_US
dc.language.isoen_USen_US
dc.subjectSockeye salmon
dc.subjectAlaska
dc.subjectLynn Canal
dc.subjectSalmon fisheries
dc.titleAn in-season management system for sockeye salmon returns to Lynn Canal, southeast Alaskaen_US
dc.typeThesisen_US
dc.type.degreemsen_US
refterms.dateFOA2020-01-25T02:09:09Z


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