Modeling and simulating fisheries management

The aim of the PhD research was to contribute to improving fisheries management. The overall purpose was to select applicable modeling techniques, develop models and simulate the dynamics of fisheries management with the aim of comparing different management strategies by looking at their impact on selected indicators. The indicators are biological, economic or social. The main contribution of the research is the introduction of methods which have either not previously been applied in fisheries management or to a limited extent. The research is very interdisciplinary as it combines modelling & simulation methods from engineering with fisheries science which is multidisciplinary and builds on ecology, economics and sociology. This poster presents three models which were a part of the PhD research; a hybrid system dynamics-discrete event simulation model, a system dynamics model and a model from a new simulation method inspired by agent flocking.