Short-term Forecasting in Marine Fish Stocks
- 1 October 1981
- journal article
- research article
- Published by Canadian Science Publishing in Canadian Journal of Fisheries and Aquatic Sciences
- Vol. 38 (10) , 1247-1254
- https://doi.org/10.1139/f81-166
Abstract
The predictive power of stock production models and simple time series methods was considered for five marine fish stocks. The distinction between model fitting and forecasting future short-term catch is discussed, as is the difference between techniques to forecast short-term yield, and techniques to calculate long-term management practice. Fox's procedure for fitting Pella and Tomlinson's stock production model, Schnute's method for fitting Schaefer's model, and Gulland's method are all considered. We found that all methods except that of Gulland work well for some stocks, and the relative performance of the methods depends upon the exploitation history of the stock. In several instances one of the best forecasts of next year's catch per unit effort (CPUE) was the previous year's CPUE, emphasizing the fact that a good forecasting technique may have no utility in determining management policies.Key words: production models, catch and effort, fisheries, management, catch forecasting, time seriesThis publication has 4 references indexed in Scilit:
- Some aspects of the dynamics of populations important to the management of the commercial Marine fisheriesBulletin of Mathematical Biology, 1991
- Least Squares Regression Estimates of the Schaefer Production Model: Some Monte Carlo Simulation ResultsCanadian Journal of Fisheries and Aquatic Sciences, 1980
- Comparison of Fisheries Control Systems That Utilize Catch and Effort DataJournal of the Fisheries Research Board of Canada, 1979
- Improved Estimates from the Schaefer Production Model: Theoretical ConsiderationsJournal of the Fisheries Research Board of Canada, 1977