Living with uncertainty in fisheries: analytical methods, management priorities and the Canadian groundfishery experience

Abstract Uncertainties in fisheries arise in three principal forms: random fluctuations, uncertainty in parameter estimates and states of nature, and structural uncertainty that reflects a basic lack of knowledge about the nature of the fishery system. The first two of these have been addressed quantitatively through a variety of analytical tools, reviewed briefly in this paper. On the other hand, structural uncertainty poses a greater challenge; having proven rather immune to analytical treatment, it appears to be best addressed through the design of fishery management itself, to ensure that such management is robust, adaptive and precautionary. The paper discusses the nature of these three management characteristics, and illustrates their importance through an analysis of Atlantic Canada's groundfish fishery and its collapse in the early 1990s. The groundfishery is also used as a case study for exploring the extent to which fishery institutions provide a framework for `living with uncertainty'; specifically, an analysis is provided of fishery management and conservation institutions (notably the Fisheries Resource Conservation Council) that have been established in response to the groundfish collapse.

[1]  James J. Opaluch,et al.  Behavioral Modeling and Fisheries Management , 1984, Marine Resource Economics.

[2]  Ray Hilborn,et al.  Living with Uncertainty in Resource Management , 1987 .

[3]  A. Charles.  The Atlantic Canadian groundfishery: Roots of a collapse , 1995 .

[4]  D. Ludwig,et al.  A Robust Method for Parameter Estimation from Catch and Effort Data , 1989 .

[5]  Tom Polacheck,et al.  YEAR AROUND CLOSED AREAS AS A MANAGEMENT TOOL , 1990 .

[7]  Ransom A. Myers,et al.  What can be learned from the collapse of a renewable resource? Atlantic cod, Gadus morhua, of Newfoundland and Labrador , 1994 .

[8]  Colin W. Clark,et al.  Mathematical Bioeconomics: The Optimal Management of Renewable Resources. , 1993 .

[9]  Marc Mangel,et al.  Decision and control in uncertain resource systems , 1986 .

[10]  J. Dugan,et al.  Applications of marine refugia to coastal fisheries management , 1993 .

[11]  R. Rowley.  Marine reserves in fisheries management , 1994 .

[12]  C. Walters.  Optimum Escapements in the Face of Alternative Recruitment Hypotheses , 1981 .

[13]  R. Deriso.  Harvesting Strategies and Parameter Estimation for an Age-Structured Model , 1980 .

[14]  C. Walters,et al.  Optimal harvesting with imprecise parameter estimates , 1982 .

[15]  Jeremy S. Collie,et al.  Modeling predator-prey dynamics in a fluctuating environment , 1994 .

[16]  C. S. Holling.  Resilience and Stability of Ecological Systems , 1973 .

[17]  Wayne M. Getz,et al.  Binational Management of Pacific Hake (Merluccius productus): A Stochastic Modeling Approach , 1987 .

[18]  C. Walters,et al.  Uncertainty, resource exploitation, and conservation: lessons from history. , 1993, Science.

[19]  M. Sissenwine.  The Uncertain Environment of Fishery Scientists and Managers , 1984, Marine Resource Economics.

[20]  C. Walters,et al.  Quantitative Fisheries Stock Assessment , 1992, Springer US.

[21]  William J. Reed,et al.  Optimal escapement levels in stochastic and deterministic harvesting models , 1979 .

[22]  S. Garcia.  The Precautionary Principle: its implications in capture fisheries management , 1994 .

[23]  Colin W. Clark,et al.  Bioeconomic Modelling and Fisheries Management. , 1985 .

[24]  Daniel E. Lane,et al.  Operational research and fisheries management , 1989 .

[25]  Carl J. Walters,et al.  Adaptive Management of Renewable Resources , 1986 .

[26]  Yong Chen,et al.  A robust regression analysis of recruitment in fisheries , 1995 .

[27]  Jeremy S. Collie,et al.  Estimating Population Size from Relative Abundance Data Measured with Error , 1983 .

[28]  D. Holland,et al.  Marine Reserves for Fisheries Management , 1996, Marine Resource Economics.

[29]  G. Grossman,et al.  Comparison of Constant Effort Harvest Policies for Fish Stocks with Variable Recruitment , 1985 .

[30]  C. Walters,et al.  Adaptive Control of Fishing Systems , 1976 .

[31]  R. I. C. C. Francis,et al.  Use of Risk Analysis to Assess Fishery Management Strategies: A Case Study using Orange Roughy (Hoplostethus atlanticus) on the Chatham Rise, New Zealand , 1992 .

[32]  Anthony Charles,et al.  Optimal Fisheries Investment under Uncertainty , 1983 .

[33]  Carl J. Walters,et al.  ECOLOGICAL OPTIMIZATION AND ADAPTIVE MANAGEMENT , 1978 .

[34]  F. Clarke,et al.  The Optimal Exploitation of Renewable Resource Stocks: Problems of Irreversible Investment , 1979 .

[35]  A. Charles.  Towards sustainability: the fishery experience , 1994 .

[36]  J. Sutinen,et al.  Stochastic Bioeconomics: A Review of Basic Methods and Results , 1984, Marine Resource Economics.

[37]  Colin W. Clark,et al.  On uncertain renewable resource stocks: Optimal harvest policies and the value of stock surveys , 1986 .

[38]  Anthony Charles,et al.  Uncertainty and Information in Fishery Management Models: A Bayesian Updating Algorithm , 1992 .

[39]  Norman J. Dudley,et al.  Exploitation of a single-cohort fishery under risk: A simulation-optimization approach , 1980 .

[40]  A. Guimarães Rodrigues.  Operations research and management in fishing. , 1990 .