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The Scientific World Journal
Volume 2014 (2014), Article ID 707943, 8 pages
Research Article

Assessing the Impact of Policy Changes in the Icelandic Cod Fishery Using a Hybrid Simulation Model

1Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, Hjarðarhagi 2-6, 107 Reykjavík, Iceland
2Matís, Icelandic Food and Biotechnology Research, Vínlandsleið 12, 113 Reykjavík, Iceland
3Product and Production Development, Chalmers University of Technology, 412 96 Gothenburg, Sweden

Received 4 November 2013; Accepted 9 January 2014; Published 24 February 2014

Academic Editors: S. Cao, J. H. Janse, and S. Nautiyal

Copyright © 2014 Sigríður Sigurðardóttir et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Most of the Icelandic cod is caught in bottom trawlers or longliners. These two fishing methods are fundamentally different and have different economic, environmental, and even social effects. In this paper we present a hybrid-simulation framework to assess the impact of changing the ratio between cod quota allocated to vessels with longlines and vessels with bottom trawls. It makes use of conventional bioeconomic models and discrete event modelling and provides a framework for simulating life cycle assessment (LCA) for a cod fishery. The model consists of two submodels, a system dynamics model describing the biological aspect of the fishery and a discrete event model for fishing activities. The model was run multiple times for different quota allocation scenarios and results are presented where different scenarios are presented in the three dimensions of sustainability: environmental, social, and economic. The optimal allocation strategy depends on weighing the three different factors. The results were encouraging first-steps towards a useful modelling method but the study would benefit greatly from better data on fishing activities.