Assessing the Impact of Policy Changes in the Icelandic Cod Fishery Using a Hybrid Simulation Model. Siguroardottir, S., Johansson, B., Margeirsson, S., & Vioarsson, J. R. SCIENTIFIC WORLD JOURNAL, HINDAWI PUBLISHING CORP, 315 MADISON AVE 3RD FLR, STE 3070, NEW YORK, NY 10017 USA, 2014. doi abstract bibtex 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.
@article{ ISI:000332887200001,
Author = {Siguroardottir, Sigriour and Johansson, Bjorn and Margeirsson, Sveinn
and Vioarsson, Jonas R.},
Title = {{Assessing the Impact of Policy Changes in the Icelandic Cod Fishery
Using a Hybrid Simulation Model}},
Journal = {{SCIENTIFIC WORLD JOURNAL}},
Year = {{2014}},
Abstract = {{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.}},
Publisher = {{HINDAWI PUBLISHING CORP}},
Address = {{315 MADISON AVE 3RD FLR, STE 3070, NEW YORK, NY 10017 USA}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Siguroardottir, S (Reprint Author), Univ Iceland, Fac Ind Engn Mech Engn \& Comp Sci, Hjaroarhagi 2-6, IS-107 Reykjavik, Iceland.
Siguroardottir, Sigriour, Univ Iceland, Fac Ind Engn Mech Engn \& Comp Sci, IS-107 Reykjavik, Iceland.
Siguroardottir, Sigriour; Margeirsson, Sveinn; Vioarsson, Jonas R., Matis, Iceland Food \& Biotechnol Res, IS-113 Reykjavik, Iceland.
Johansson, Bjorn, Chalmers, S-41296 Gothenburg, Sweden.}},
DOI = {{10.1155/2014/707943}},
Article-Number = {{707943}},
ISSN = {{1537-744X}},
Keywords-Plus = {{LIFE-CYCLE ASSESSMENT; SYSTEM DYNAMICS; MANAGEMENT; EXPERIENCE; NORWAY;
TOOLS; LCA}},
Research-Areas = {{Science \& Technology - Other Topics}},
Web-of-Science-Categories = {{Multidisciplinary Sciences}},
Author-Email = {{sigridursig@matis.is}},
ResearcherID-Numbers = {{Johansson, Bjorn/A-9920-2009
}},
ORCID-Numbers = {{Johansson, Bjorn/0000-0003-0488-9807
Margeirsson, Sveinn/0000-0001-5190-7970}},
Funding-Acknowledgement = {{Matis through the EcoFishMan Project {[}FP7-KBBE-2010-4]; ProViking
through the EcoProIT Project; VINNOVA (Swedish Agency for Innovation
Systems)}},
Funding-Text = {{The authors would like to acknowledge support from Matis through the
EcoFishMan Project (FP7-KBBE-2010-4) and ProViking through the EcoProIT
Project and VINNOVA (Swedish Agency for Innovation Systems). This work
has been carried out within the Sustainable Production Initiative and
the Production Area of Advance at Chalmers. The support is gratefully
acknowledged.}},
Number-of-Cited-References = {{47}},
Times-Cited = {{0}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{9}},
Journal-ISO = {{Sci. World J.}},
Doc-Delivery-Number = {{AC9XD}},
Unique-ID = {{ISI:000332887200001}},
OA = {{gold}},
DA = {{2017-08-17}},
}
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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. 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In this paper we\n present a hybrid-simulation framework to assess the impact of changing\n the ratio between cod quota allocated to vessels with longlines and\n vessels with bottom trawls. It makes use of conventional bioeconomic\n models and discrete event modelling and provides a framework for\n simulating life cycle assessment (LCA) for a cod fishery. The model\n consists of two submodels, a system dynamics model describing the\n biological aspect of the fishery and a discrete event model for fishing\n activities. The model was run multiple times for different quota\n allocation scenarios and results are presented where different scenarios\n are presented in the three dimensions of sustainability: environmental,\n social, and economic. The optimal allocation strategy depends on\n weighing the three different factors. 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