Choosing fisheries harvest policies: when does uncertainty matter?
- 1 February 1995
- journal article
- Published by Canadian Science Publishing in Canadian Journal of Fisheries and Aquatic Sciences
- Vol. 52 (2) , 291-306
- https://doi.org/10.1139/f95-030
Abstract
Fisheries harvest policies are formulated under uncertainty because estimates of stock abundance and biological parameters are imprecise. However, allowable harvests are often based solely on point estimates of these quantities, essentially ignoring uncertainty. Some fishery scientists have advocated adjusting harvest levels downward to account for uncertainty, but few formal methods have been developed to determine how large these "uncertainty adjustments" should be. We describe an age-structured simulation model that explicitly incorporated uncertainty in parameters of the stock–recruitment relationship, errors in abundance estimates, and year-to-year variability in recruitment and calculated which uncertainty adjustment was optimal in terms of expected discounted yield. The optimal adjustment varied considerably, depending on the stock and harvest policy simulated. The increase in expected value from incorporating the adjustment into the harvest policy was usually small, except when we modeled a biological "threshold", where overharvests could lead to an irreversible stock collapse. Therefore, while our analysis suggests that basing harvest decisions solely on the best point estimates may often be an approximately optimal strategy, it also indicates that large adjustments may sometimes be appropriate. Consequently, fishery managers should avoid making arbitrary adjustments for uncertainty, and instead derive the optimal adjustment for each situation.Keywords
This publication has 35 references indexed in Scilit:
- Experimental Harvesting of Cyclic Stocks in the Face of Alternative Recruitment HypothesesCanadian Journal of Fisheries and Aquatic Sciences, 1990
- Effect of Stochasticity on Optimal Harvesting Strategies in Some Lumped-Parameter Fishery ModelsCanadian Journal of Fisheries and Aquatic Sciences, 1988
- Towards rational harvesting of the South African anchovy considering survey imprecision and recruitment variabilitySouth African Journal of Marine Science, 1987
- Risk Analysis in the Georges Bank Haddock Fishery—A Pragmatic Example of Dealing with UncertaintyNorth American Journal of Fisheries Management, 1986
- A Stochastic Population Model for Managing the Atlantic Menhaden (Brevoortia tyrannus) Fishery and Assessing Managerial RisksCanadian Journal of Fisheries and Aquatic Sciences, 1985
- Discount Factors and Risk Aversion in Managing Random Fish PopulationsCanadian Journal of Fisheries and Aquatic Sciences, 1982
- Adaptive Management of Stock–Recruitment SystemsCanadian Journal of Fisheries and Aquatic Sciences, 1981
- Mean Value and Variability of Fish Catches in Fluctuating EnvironmentsJournal of the Fisheries Research Board of Canada, 1976
- Optimal Harvest Strategies for Salmon in Relation to Environmental Variability and Uncertain Production ParametersJournal of the Fisheries Research Board of Canada, 1975
- Maximum Sustained Yields from Fluctuating Environments and Mixed StocksJournal of the Fisheries Research Board of Canada, 1958