Bioeconomic Model of the Lake Michigan Alewife (Alosa pseudoharengus) Fishery
Bioeconomic Model of the Lake Michigan Alewife (Alosa pseudoharengus) Fishery
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DOI：
10.1139/f87-331
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发表时间：
1987-12
影响因子：
2.4
通讯作者：
F. Hanson
中科院分区：
文献类型：
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作者：
F. Hanson
建立了一个随机生物经济学模型，用于密歇根湖灰鲭（Alosa pseudoharengus）渔业。这个理论模型具有中等程度的复杂性和现实性。其他密歇根湖鱼类种群包括在一个简化的方式作为一个整体，占种间捕食鲑鱼，但竞争也可以被视为。这两个alewife和聚集渔业建模的修改Beverton-Holt单队列模型的重量和种间相互作用的增长。alewives也受到大的随机灾害，它表明，这些是密度无关的。该方法是随机的，反馈，最优控制，使用动态规划。随机项用于表示alewife总体中的随机灾害。计算结果给出了组合渔业的最大期望经济值以及混合渔业和混合渔业的最优收获率。这些结果是新的…
A stochastic bioeconomic model is developed for the Lake Michigan alewife (Alosa pseudoharengus) fishery. This theoretical model possesses an intermediate degree of complexity and realism. Other Lake Michigan fish stocks are included in a simplified way as an aggregate, to account for interspecific predation by salmonids, but competition could be treated as well. Both alewife and aggregate fisheries are modeled by modifications of Beverton–Holt single-cohort models with growth in weight and interspecific interactions. The alewives are also subjected to large random disasters and it is demonstrated that these are density independent. The methodology is stochastic, feedback, optimal control using dynamic programming. Stochastic terms are used to represent random disasters in the alewife population. The computational results are given in terms of the maximal, expected economic values of the combined fishery and the optimal rates of harvest for both the alewives and aggregate fisheries. These results are new ...