Fishery science and management : objectives and limitations by Warren S. Wooster

By Warren S. Wooster

This quantity is worried with the position of technological know-how in fishery administration. whereas this has frequently been regarded as mostly a organic challenge with transparent organic ambitions, shut exam means that administration judgements are mostly managed by means of political, social and monetary concerns, biologically restricted. The biologist now has the duty of decreasing the uncertainties of the enterprise instead of choosing its priorities or its allocation of advantages. The uncertainties come up partially due to lack of know-how of the ecological structures concerned, the restricted availability of serious info, and the unpredictability of riding forces. the amount studies the assumptions and simplifications of fishery versions, examines the choice making framework in fishery administration, and compares administration practices in North the United States, Japan, and northerly Europe. A compilation of fishery administration goals in foreign agreements and U.S. legislation is integrated.

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49-59. In Real-tim e fishery management . University of Washingto n Sea Grant Tech. Rep. WSG-85-1 , Seattle , WA. Copyright American Geophysical Union. Transferred from Springer-Verlag in June 1992. Vol. 28 Lecture Notes on Coastal and Estuarine Studies Fishery Science and Management Objectives and Limitations McCaughran & Deriso 35 DERISO,R B. 1987. i criteria and their relationshi p to maximum sustainabl e yield. Can. J. Fish. Aquat. Sci. 44(2). J. QUINN II. 1983. The Pacific halibut resource and fishery in Regulatory Area 2, II.

Graham (1935) built on Russell's work and that of Baranov (1918) to produce thefirst quantitative fisheries model which computed yield relative to effort and estimated maximum sustained yield relative to effort and the intrinsic biological characteristics of a stock. A testimony to the strength and utility of the surplus production model is its widespread application and the numerous modifications, extensions, and improvements made to the basic model and to the techniques proposed to estimate its parameters.

Sci. 42, 815-824. H. A. McCAUGHRAN . 1986. Two hypotheses about factors controlling production of Pacific halibut. INPFC Bull. No. 47, 167-174. , and II. SMITH. 1966. Applied Regression Analysis . John Wiley & Sons, Inc. New York. 407 p. EFRON, B. 1982. The Jackknife. the Bootstrap, and Other Resampling Plans. CBMS-NS F Reg. Comb. Ser. Appl. Math. S1AM No. 38, 92p. I. 1978. Time-dependent solutions and efficient par rameters for stock production models. Fish. Bull. 76, 377-388. A. 1969. Manual of Methods for Fish Stock Assessmen t Food and Ag.

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