Analysis of Sardine Fisheries Management on Lake Kariba, Zimbabwe and Zambia - Structuring a Bayesian Influence Diagram Model
Olli Varis, Sakari Kuikka · IIASA PURE (International Institute of Applied Systems Analysis) · 1990
One of the main issues in the fisheries management of Lake Kariba is the question of how much the total effort of sardine fisheries can be increased without threatening the renewal of the stock and the economical profitability of the fisheries. This problem is subjected to uncertain natural processes and diverse and insufficient information available. A Bayesian influence diagram model was developed to analyze the decision problem. The Bayesian approach offers means for fusioning probabilistic information from different sources, and assessing the relative information value of quantities included in the model.