Abstract
Adaptive management directly addresses uncertainty and risk. It implicitly and explicitly aims to increase knowledge. However, its practical, as opposed to theoretical, application in fisheries has been limited. Some reasons for this are discussed. They include a lack of understanding of the methodology, unwillingness to risk livelihoods, unwillingness to be in a non-optimal fishing situation, and the high economic and social costs of adaptive management. Adaptive management policies may range from a passive approach where a system’s response to a policy is monitored, to an actively experimental approach where policies are designed to probe and produce definitive feedback information. It is the latter which is commonly associated with adaptive management. Adaptive management is a very valuable and useful methodological approach as it can provide a framework for all other fisheries methods. Attempts should be made to make it more accessible.
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References
Alcala, A.C. and Russ, G.R. (1990) A direct test of the effects of protective management on abundance and yield of tropical marine resources. J. Cons. Int. Explor. Mer 46, 40–47.
FAO (1995a) The Code of Conduct for Responsible Fisheries, FAO, Rome, 41pp.
FAO (1995b) The Precautionary Approach to Fisheries. Part 1. Guidelines on the precautionary approach to capture fisheries and species introductions. FAO/Swedish Board of Fisheries, Fish. Tech. Pap. 350, Part 1, 47 pp.
Hilborn, R. and Walters, C.J. (1992) Quantitative Fisheries Stock Assessment: Choice, Dynamics and Uncertainty. Chapman & Hall, New York, 5 70 pp.
Hilborn, R. and Sibert, J. (1988) Adaptive management of developing fisheries. Mar. Policy 12, 112–121.
Hilborn, R., Pikitch, E.K. and McAllister, M.K. (1994) A Bayesian estimation and decision analysis for an age-structured model using biomass survey data. Fish. Res. 19, 17–30.
Johnson, B.L., Milliman, S.R., Bishop, R.C. and Kitchell, J.F. (1992) Evaluating fishery rehabilitation under uncertainty: a bioeconomic analysis of quota management for the Green Bay yellow perch fishery. N. Am. J. Fish. Manage. 12, 703–720.
Kendall, S. (1984) Fisheries management planning: an operational approach to adaptive management of a renewable resource for multiple objectives using qualitative information. Can. J. Reg. Sci. 7(2), 153–180.
Lave, L.B. and Dowlatabadi, H. (1993) Climate change. The effects of personal belief and scientific uncertainty. Env. Sci. Technol. 27, 1962–1972.
Lindley, D.V. (1983) Theory and practise of Bayesian statistics. The Statistician 32, 1–11.
Ludwig, D., Hilborn, R. and Walters, C.J. (1993) Uncertainty, resource exploitation and conservation: lessons from history. Science 260, 17, 36.
McAllister, M. and Peterman, R. (1992) Experimental design for fisheries management. N. Am. J. Fish. Manage. 12, 1–18.
Milliman, S.R., Grima, A.P. and Walters, C.J. (1987) Policy making within an adaptive management framework, with an application to lake trout (Salvelinus namaycush) management. Can J. Fish. Aquat. Sci. 44, 425–430.
Pitcher, T.J. (1994) Stewardship and sustainability of Pacific fishery resources: the need for critical insight and an encyclopaedia of ignorance, in Our Common Shores and our Common Challenge (ed. D.G. Shaw), Alaska Sea Grant, Fairbanks, AK, pp. 5–28.
Sainsbury, K.J. (1989) The ecological basis of multispecies fisheries, and management of a demersal fishery in tropical Australia, in Fish Population Dynamics (ed. J.A. Gulland), John Wiley and Sons Ltd, Chichester, pp. 349–382.
Sainsbury, K.J. (1991) Application of an experimental approach to management of a tropical multispecies fishery with highly uncertain dynamics. ICES Mar. Sci. Symp. 193, 301–320.
Walters, C.J. (1985) Approaches to adaptive policy design for harvest management, in Modelling and Management of Resources Under Uncertainty, (Lecture Notes in Biomathematics Vol. 72) (eds T.L. Vincent, Y. When, W.J. Grantham and G.P. Kirkwood), Springer-Verlag, Berlin, pp. 114–124.
Walters, C.J. (1986) Adaptive Management of Renewable Resources, MacMillan, New York, 374 pp.
Walters, C.J. and Hilborn, R. (1976) Adaptive control of fishing systems. J. Fish. Res. Bd Can. 33, 145–159.
Walters, C.J. and Ludwig, D. (1994) Calculation of Bayes posterior probability distributions for key population parameters. Can. J. Fish. Aqual Sci. 51, 713–722.
Walters, C.[J.] and Parma, A.M. (1996) Fixed exploitation rate strategies for coping with effects of climate change. Can. J. Fish. Aquat. Sci. 53, 148–158.
Walters, C.J. and Staley, M.J. (1987) Evidence against the existence of cyclic dominance in Fraser River sockeye salmon (Oncorhynchus nerka), in Sockeye Salmon, Oncorhynchus nerka, Population Biology and Fisheries Management (eds H.D. Smith, L. Margoles and C.C. Wood), Dept of Fisheries and Oceans, Ottawa, pp. 375–384.
Ward, T.J. and Jacoby, C.A. (1992) A strategy for assessment and management of marine ecosystems: baseline and monitoring studies in Jervis Bay, a temperate Australian embayment. Mar. Poll. Bull. 25, 163–171.
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Bundy, A. (1998). The red light and adaptive management. In: Pitcher, T.J., Pauly, D., Hart, P.J.B. (eds) Reinventing Fisheries Management. Fish & Fisheries Series, vol 23. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4433-9_26
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DOI: https://doi.org/10.1007/978-94-011-4433-9_26
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