获取可再生资源的最优解的结构

IF 1.8 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Natural Resource Modeling Pub Date : 2022-08-24 DOI:10.1111/nrm.12355
Thorsten Upmann, D. Gromov
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引用次数: 3

摘要

我们考虑可再生资源的最优收获问题,其动态受物流增长控制,其收益与收获成正比。我们考虑了有限和无限时间范围的情况,并分析了最优解的结构及其对模型参数的依赖关系。我们证明了最优策略只能具有以下三种结构之一:(1)在资源耗尽之前的最大收获努力,(2)在初始时间间隔内零收获,随后切换到最大收获努力,或者(3)一个奇异解,对应于收获的中间水平,伴随着最快速的接近路径。根据系统参数的特定组合,所有三种情况都会出现,有微小的变化,有有限和无限的时间范围。我们描述了奇异解是最优的条件,并提出了设计最优和可持续收获策略的建议。
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The structure of optimal solutions for harvesting a renewable resource
We consider the problem of optimal harvesting of a renewable resource whose dynamics are governed by logistic growth and whose payoff is proportional to the harvest. We consider both the case of a finite and an infinite time horizon and analyse the structure of the optimal solutions and their dependence on the parameters of the model. We show that the optimal policy can only have one of three structures: (1) maximal harvesting effort until the resource is depleted, (2) zero harvesting during an initial time interval followed by a subsequent switch to maximal harvesting effort, or (3) a singular solution, which corresponds to an intermediate level of harvesting, accompanied by the most rapid approach path. All three scenarios emerge, with minor variations, with finite and infinite time horizons, depending on the particular combination of parameters of the system. We characterize the conditions under which the singular solution is optimal and present suggestions for designing an optimal and sustainable harvesting strategy.
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来源期刊
Natural Resource Modeling
Natural Resource Modeling 环境科学-环境科学
CiteScore
3.50
自引率
6.20%
发文量
28
审稿时长
>36 weeks
期刊介绍: Natural Resource Modeling is an international journal devoted to mathematical modeling of natural resource systems. It reflects the conceptual and methodological core that is common to model building throughout disciplines including such fields as forestry, fisheries, economics and ecology. This core draws upon the analytical and methodological apparatus of mathematics, statistics, and scientific computing.
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