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Bioeconomic modelling: An application to fisheries.

This thesis presents a bioeconomic model of a commercial fishery. Emphasis is on the decision making processes of the harvesting sector. A model of dynamic decision making by fishermen is developed to study the biological and economic impact of the commercial exploitation of the Georges Bank scallops fishery (Placopecten Magellanicus). Stock biomass abundance dynamics are modelled using Deriso's age structured population model. Growth rate, mortality rates and recruitment are included as part of the biological component of the model. Decision making by fishermen is modelled using two discrete decision algorithms, myopic and adaptive. The myopic model provides the fisherman with the area yielding the highest immediate expected return on the basis of cost, expected catch and the current measure of biomass abundance. A computer model simulates the application of both the myopic and adaptive algorithms by a single fisherman as well as by a fleet of fishermen. In the later case, each fisherman is assumed to be initially identical and independent of the others in the fleet with respect to landings and catch information compiled. Vessel performance is measured in terms of total catch, total costs, landed values and net incomes. (Abstract shortened by UMI.)

Identiferoai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/5714
Date January 1990
CreatorsReinhardt, Gilles.
ContributorsLane, D.,
PublisherUniversity of Ottawa (Canada)
Source SetsUniversité d’Ottawa
Detected LanguageEnglish
TypeThesis
Format141 p.

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