A global bionomic model capable of evaluating management policies for the world tuna resources is developed. The model integrates the biological and economic forces i n t o an analysis framework. I t is made up of two major modules: a Population Dynamics Module (PDM) and an Economic Module (EM). The model has been coded and tested on a computer. The PDM tracks the variations i n the populations of the different tuna stocks throughout the world. The EM computes the profit-maximizing fishing e f f o r t s of the various countries a t d i f f e r e n t f i s h i n g grounds, given the available standing crops and a world ex-vessel price of tuna. This computation of fishing efforts is accomplished using a linear programming model. The model as currently formulated is particularly useful for evaluating the various tuna management alternat i v e s . I t is useful as a screening tool to reduce the numerous tuna management alternatives (and t h e i r combinations) i n t o a smaller set of options for more detailed assessment.
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