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Perspectives on adaptive policy design in fisheries management

  • Carl J. Walters
Part of the Monographiae Biologicae book series (MOBI, volume 67)

Abstract

Fisheries management is necessarily an adaptive process, where decision makers can obtain some guidance from basic biological research and population dynamics theory, but must ultimately rely on direct management experience to test the validity of that guidance. The adaptive or learning process can be either “passive” or “active”. A basic issue for decision makers is whether to treat scientific advice as correct until it proves untenable in practice (a “passively adaptive” or “evolutionary” strategy), or instead to deliberately experiment with policy choices so as to reveal the better one more quickly (an “actively adaptive” or “probing” strategy). Passive strategies may fail to reveal opportunities for improved management in several common situations, including (1) harvest policies for stocks that may have been severely depleted before much population data were gathered; (2) harvest policies for stocks that show “cyclic” behavior; (3) resource enhancement programs; and (4) management policies for multispecies “assemblage” fisheries. In these situations it is argued that basic research and theory cannot in principle provide the decision-maker with confidence about correct choices in advance, and conservative (“safe”, risk averse) decisions would not be informative; the decision maker must either accept continuing uncertainty, or conduct a risky management experiment.

Keywords

Fishery Management Sockeye Salmon Stock Size Dungeness Crab Pacific Halibut 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Baranov, F.I. 1919. On the question of the biological basis of fisheries. Nauch. Isssled. Ikhtiologicheskii Inst. Izv. 1: 81–128 (In Russian).Google Scholar
  2. Beverton, R. J. and S. J. Holt. 1957. On the dynamics of exploited fish populations. U.K. Min. Agric. Fish., Fish. Invest. (Ser. 2) 19: 533pp.Google Scholar
  3. Botsford, L. W. 1986. Population dynamics of the Dungeness crab (Cancer magister). In: Jamieson, G. S., N. Bourne (eds.), North Pacific Workshop on stock assessment and management of invertebrates. Can. Spec. Pub. Fish. Aquat. Sci. No. 92.Google Scholar
  4. Deriso, R. B. 1987. Pacific halibut: biology, fishery, and management. Northwest Environmental Journal 3:129–144.Google Scholar
  5. Diamond, J. 1986. Overview: laboratory experiments, field experiments, and natural experiments, pp. 3–22. In: Diamond, J. and T. J. Case (eds.). Community Ecology. Harper and Row, New York. 665 pp.Google Scholar
  6. Eggers, D. and D. Rogers. 1987. The cycle of returns of sockeye salmon (Oncorhynchus nerka Walbaum) to the Kvichak River, Bristol Bay, Alaska: cyclic dominance or depensatory fishing? Can. J. Fish. Aquat. Sci. (In press), [has this one made it to press yet dmd]Google Scholar
  7. Fel’dbaum, A. A. 1960–61. Theory of dual control I-IV. Automatic Remote Control USSR 21:1240–49,1453–65; 22: 3–16,129–43 (In Russian).Google Scholar
  8. Hartman, C. F., ed. 1982. Proceedings of the Carnation Creek Workshop: a ten-year review. Pacific Biological Station, Nanaimo, B.C.Google Scholar
  9. Hjort, J. 1914. Fluctuations in the great fisheries of northern Europe, viewed in the light of biological research. Rapp, P.-V. Reun. Cons. Perm. Int. Explor. Mer. 20:1–228.Google Scholar
  10. Holling, C. S., ed. 1978. Adaptive environmental assessment and management. John Wiley, New York.Google Scholar
  11. Ludwig, D. and C. J. Walters. 1982. Optimal harvesting with imprecise parameter estimates. Ecological Modelling 14: 273–92.CrossRefGoogle Scholar
  12. Murphy, G. and D. Pauly, eds. 1983. Management of tropical fisheries, theory and practice.Google Scholar
  13. Murphy, M.L, J. Heifetz, S.W. Johnson, K.V. Koski and J. F. Thedinga. 1986. Effects of clear-cut logging with and without buffer strips on juvenile salmonids in Alaskan streams. Can. J. Fish. Aquatic Sci. 43:1521–1533.CrossRefGoogle Scholar
  14. Pauly, D. 1979. Theory and management of tropical multispecies fisheries. ICLARM Studies and Reviews, No. 1, Manila. 35 pp.Google Scholar
  15. Ricker, W. E. 1975. Computation and interpretation of biological statistics of fish populations. Bull. Fish. Res. Bd. Canada, No 191. 382 pp.Google Scholar
  16. Roedel, P.M., ed. 1975. Optimum sustainable yield as a concept in fisheries management. Amer. Fish. Soc. Spec. Publ., No. 9.Google Scholar
  17. Rosen, R. 1978. Principles of measurement and representation of natural systems. Elsevier/North Holland, Inc., New York.Google Scholar
  18. Skud, B. E. 1982. Dominance in fishes: the relation between environment and abundance. Science 46:144–49.CrossRefGoogle Scholar
  19. Walters, C. J. 1977. Design of experimental salmon enhancement policies. In: D. V. Ellis (ed.), Pacific salmon: management for people. Chapter 10. University Victoria Press, Western Geographical Series, Vol. 13. Victoria, B.C.Google Scholar
  20. Walters, C. J. 1981. Optimum escapements in the face of alternative recruitment hypotheses. Can. J. Fish. Aquat. Sci. 38: 678–89.Google Scholar
  21. Walters, C. J. 1985. Bias in the estimation of functional relationships from time series data. Can. J. Fish. Aquat. Sci. 42:147–49.Google Scholar
  22. Walters, C. J. 1986. Adaptive management of renewable resources. Mcmillan Pub. Co., New York.Google Scholar
  23. Walters, C. J. 1987a. Approaches to adaptive policy design for harvest management. In: T. Vincent (ed.), Proceedings 2nd US/Australia workshop on applied control theory in natural resource management. Springer-Verlag, Lecture Notes in Biomathematics, Berlin.Google Scholar
  24. Walters, C. J. 1987b. Mixed stock fisheries and the sustainability of enhancement production for chinook and coho salmon. In: R. McNeill (ed.), Proc. 1st Intl. Salmonid Conference. Oregon State Univ. Press.Google Scholar
  25. Walters, C. J. and R. Hilborn. 1976. Adaptive control of fishing systems. J. Fish. Res. Bd. Canada 33:145–59.Google Scholar
  26. Walters, C. J. and R. Hilborn. 1978. Ecological optimization and adaptive management. Ann. Rev. Ecol. Syst. 9:157–88.CrossRefGoogle Scholar
  27. Walters, C. J. and D. Ludwig. 1981. Effects of measurement errors on the assessment of stock-recruitment relationships. Can. J. Fish. Aquat. Sci. 38: 704–10.CrossRefGoogle Scholar
  28. Walters, C. J. and M. J. Staley. 1987. Evidence against the existence of cyclic dominance in Fraser River sockeye salmon (Oncorhynchus nerkd). Can. J. Fish. Aquat. Sci.Google Scholar
  29. Walters, C. J., M. Stocker, A. V. Tyler, and S. J. Estrherim. 1986. Interaction between Pacific Cod (Gadus macrocephalus) and Herring (Clupea harengus pallasi) in the Hecate Strait, British Columbia. Can. J. Fish. Aquat. Sci. 43: 830–37.Google Scholar
  30. Webb, T. 1986. Approaches to the application of adaptive management principles to Columbia Basin planning. Final Report by ESSA Ltd. to Northwest Power Planning Council, Portland, Oregon.Google Scholar

Copyright information

© Kluwer Academic Publishers 1992

Authors and Affiliations

  • Carl J. Walters
    • 1
  1. 1.Institute of Animal Resource EcologyUniversity of BritishColumbiaCanada

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