| Title | Evaluation of non-traditional modelling techniques for forecasting salmon returns |
| Publication Type | Journal Article |
| Year of Publication | 2015 |
| Authors | McCormick, J. L., and M. R. Falcy |
| Secondary Title | Fisheries Management and Ecology |
| Volume | 22 |
| Issue | 4 |
| Pagination | p.269–348 |
| Date Published | 2015, Aug. |
| Call Number | OSU Libraries: Electronic Subscription |
| Keywords | Alsea 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 |
| Notes | Natural 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. |
| DOI | 10.1111/fme.12122 |
