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TitleEvaluation of non-traditional modelling techniques for forecasting salmon returns
Publication TypeJournal Article
Year of Publication2015
AuthorsMcCormick, J. L., and M. R. Falcy
JournalFisheries Management and Ecology
Volume22
Issueno.4
Paginationp.269–348
Date Published2015, Aug.
Call NumberOSU Libraries: Electronic Subscription
KeywordsAlsea River, Beaver Creek, Chinook salmon = Oncorhynchus tshawytscha, Coho salmon = Oncorhynchus kisutch, Coos River, Coquille River, fecundity, Lower Umpqua River, Middle Umpqua River, natural resource management, Necanicum River, Nehalem River, Nestucca River, North Umpqua River, Salmon River, Siletz River, Siuslaw River, Sixes River, South Umpqua River, statistical analysis, Tillamook River, Yaquina River
NotesNatural resource managers need to be able to forecast salmon runs, but this can be difficult without enough data to compensate for “potential explanatory variables.” This paper compares three traditional modeling techniques with five non-traditional methods. The authors used data from 1997 to 2012 for 18 coho salmon and seven fall-run Chinook salmon populations to predict run sizes. Positive aspects and potential dangers of non-traditional modeling techniques are discussed.
DOI10.1111/fme.12122