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Modelisation Globale Et Regionale De La Dynamique De Population Du Thon Obese De L'ocean Indien Avec Le Modele Seapodym
The Indonesian tuna fishery has suffered from a management problem due to incomplete and less reliability of tuna data leading to lack of understanding about tuna population dynamics in its region under the influence of fishing and environmental factors, particularly the monsoon, ENSO and IOD. The government of Indonesia initiated the Infrastructure Development of Space Oceanography (INDESO) programme to support marine resource management and monitoring of the Country. One application concerns the tuna fisheries with a challenging objective of real-time and forecast modeling of three tuna species biomass distributions : bigeye, yellowfin and skipjack. The model used is SEAPODYM (Spatial Ecosystem and Population Dynamics Model). The present thesis is dealing with bigeye tuna only, and had three major objectives : the preparation of a geo-referenced fishing dataset, the production of initial conditions for the regional INDESO model configuration, and the simulation of regional population dynamics.
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