Modeling fleet response in regulated fisheries: An agent-based approach

摘要: Understanding the dynamics of fishing effort plays a key role in predicting impacts regulatory measures on fisheries. In recent years, there has been growing interest use bio-economic models to represent and analyze short-term response regulation fisheries management literature. this literature, firms are usually modeled as autonomous decision-making units determining their harvest strategies so maximize profit, given technical institutional constraints. The overall fishery is result these individual choices, interactions between choices due harvesting fish stock and/or problems congestion. Applications have, for example, related discussion closed areas tools. A multi-agent model targeting different species was developed implications taking into account fleets such controls. based Cormas platform simulation common resource systems. An advantage approach that it allows greater degree complexity than standard modeling tools, by focusing local, rather global, interactions. Simulation results presented illustrate how can be used consequences temporary bans allocation target areas, ensuing economic measures.