Optimal strategy for structured model of fishing problem References

Mathematical modeling and computer simulations. ... [2] Clark, C.W. Mathematical bioeconomics: the optimal manage- ment of ... Pure and Applied Mathematics.
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AICME II abstracts

Mathematical modeling and computer simulations...

Optimal strategy for structured model of fishing problem M. Jerry1 and N. Ra¨ıssi2 . In the literature, models representing the evolution of a stock exploited are divided in two groups: global models and structured models; the first one presents the stock as a unique variable [2], whereas, the second distinguishes between several stages (classes of ages, or of size...) of the stock and associates with each one of them a dynamical variable [1]. So, the global models give a general vision of the stock evolution. But, the responsible authorities of the fishing management may be interested by the impact of certain technical measures like for instance; the reduction of the meshs fishing nets, which concerns a specifical stage of the stock. The structured models are able to respond to this type of investigations. They permit a qualitative description of the system since they take into account both features: the fish size and the time mechanism of reproduction of the exploited stock. Our objective consists on the study of a structured model containing a stage of pre-recruitment (eggs, larvas, juvenile). In some previous studies, the recruiting stage is formulated either as a constant or as noise. The restrictive feature of this approach is that the stock-recruitment relationship does not appear. In this work we are inspired by the models used by Ricker [3, 4], Beverton-Holt [1], and Touzeau [5] because they are synthetic and mathematically tractable. Even without data on the previous stages of the recruitment, these equations remain a useful tool for the assessment of the stocks. Thus, we enrich this dynamic model of structured

Mathematical modeling and computer simulations...

stock by a supplementary class consisting on the evolution from egg stage to recruitment. In the previous results [1, 2, and 5], the aim was the search of equilibrium points for a structured model and the study of the stability (saddle point, stable and unstable node, stable and unstable focus, center ...), but in this work, a structured model is associated with the maximization of a total discounted net revenues derived from exploitation of the resource, and the main objective is to prove the existence of an optimal strategy for the fishing problem. By using the tools of the control theory, in particular, the Pontryagins maximum principle, we are found the optimal strategy of the fishing problem.

References [1] Beverton, R.J.H., and Holt, S.J. On the dynamics of exploited fish population. Chapman & Hall, London, 1993. First edition in 1957. [2] Clark, C.W. Mathematical bioeconomics: the optimal management of renewable resources. Pure and Applied Mathematics. WileyInterscience, New York, 1976. [3] Ricker, W.E., a method of estimating minimum size limits for obtaining maximum yield. Cop´eia 2 (1945), 84-94 [4] Ricker, W.E., Stock and recruitment. J. Fish. Res. Board Can. 11 (1954), 559-623. [5] Touzeau, S., Modle de contrle en gestion des pches, thse, Universit´e de Nice Sophia-Antipolis (1997).

1

Laboratoire SIANO, D´epartement de Math´ematiques et dInformatique. Universit´e Ibn Tofail, Facult´e des Sciences. B.P. 133, K´enitra, Maroc (e-mail: [email protected]). 2 Laboratoire SIANO, D´epartement de Math´ematiques et dInformatique. Universit´e Ibn Tofail, Facult´e des Sciences. B.P. 133, K´enitra, Maroc (e-mail: [email protected]).

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AICME II abstracts

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