Models of major commercial stocks dynamic are developed and applied as a function of ecological factors and the transfer of fishing. The action is dedicated to the description and prediction of time and space dynamics and state of the main commercial stocks in terms of recruiting, standing stock and fishing mortality, depending on the variations of ecological factors and fishing effort. The dynamics of resources are modeled using empirical models, including neural networks. Simulations with different scenarios of type / method of fishing and environmental conditions permit to assess the productivity of commercial stocks in line with the impact of capture processes and environmental factors.
Action leader Tommaso Russo - CONISMA