The aim of the whole work shop is to set the final basis in order to determine the optimal management of key fish species, taking into account economic (including profits by fleet) and ecological drivers and needs. A special focus will be on the effects of environmental variability and climate change on economic performance and indicators. Variability and long-term trends in abiotic environmental conditions have been recorded in the area, e.g. changes in the oxygen minimum zone, and will further be analyzed within the AWA project (WP 1). Such changes will influence the distribution and concentration of fish stocks according to their preferred habitat (WP 2) and will therefore change economically important parameters like catchability or catch per unit of effort. Presently, the assessments models are run with biomass and catches as only input parameters, and significant improvement will be obtained by advancing towards two-stage Bayesian models with an explicit modelling of recruitment as appropriate tools for short lived and early maturing species . Stock-recruitment relationships have in many cases been demonstrated to be strongly mediated by environmental conditions, ranging from extremely rich year- classes under positive conditions to complete year-class failure under environmental shocks. Knowledge of variability and long-term trends in oceanographic conditions (WP 1) can be included via environmental-sensitive stock recruitment relationships (WP 3) into ecological-economic modelling. Optimal management strategies will be calculated, taking these effects into account. Two different species are considered, one (Sardinella aurita) caught by artisanal domestic and industrial international fisheries in large quantities, and the other (Ethmalosa Fimbriata) at lower quantities in inshore areas by artisanal fleets only.
Posted on: Wed, 15 Jan 2014 12:46:42 +0000
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