Simulation Modeling to Set Priorities for Research on Oyster Production
构建了一个包含生长、疾病和经济因素的不确定性模型，评估不同研究信息对弗吉尼亚州牡蛎种植企业收益的影响，发现种子收获技术和盐度阈值知识最有助于提高盈利能力。
Abstract Private oyster production in Virginia has declined significantly because of factors including losses from MSX ( Haplosporidium nelsoni ). Increased state and federal funding is being proposed to support research to stimulate oyster productivity. A model of oyster production under uncertainty, including growth, disease, and economic components, is used to aid in setting research priorities. The model shows effects of different types of research information on returns to a representative oyster planting enterprise. Seed harvest technology and accurate knowledge of the salinity threshold at which MSX mortalities occur are found to have greatest promise for increasing profitability of oyster production.