广义的戈登—舍费尔最优收获策略随机变化环境中的模型
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  • 英文篇名:Optimal Harvesting Policies for Generalized Gordon-Schaefer Model in Randomly Varying Environment
  • 作者:杨小平 ; 唐三一
  • 英文作者:YANG Xiaoping;TANG Sanyi;Foundation Department, Shanxi College of Communication & Technology;College of Mathematics & Sciences, Shanxi Normal University;
  • 关键词:最大可持续量 ; 福克—普朗克方程 ; 特征回归时间
  • 英文关键词:Maximum sustainable yield;;Forkker-Planck equation;;Characteristic return time
  • 中文刊名:ZGMM
  • 英文刊名:China's Manganese Industry
  • 机构:陕西交通职业技术学院基础部;陕西师范大学数学与信息科学学院;
  • 出版日期:2019-04-28
  • 出版单位:中国锰业
  • 年:2019
  • 期:v.37;No.165
  • 基金:陕西省教育科学规划课题(SGH16V033);; 陕西省高等教育学会2017年度高等教育科学研究项目(SGH17286)
  • 语种:中文;
  • 页:ZGMM201902021
  • 页数:4
  • CN:02
  • ISSN:43-1128/TD
  • 分类号:88-91
摘要
提出了一种用于鱼类捕捞的非线性随机模型,该模型包括戈登—舍费尔模型和佩拉—汤姆林森模型,这些模型用于研究长须鲸、竖琴海豹和圣劳伦斯鳕鱼湾的大量数据。已经确定,从生物量方面来说,收集这些物种更有利。
        A non-linear stochastic model has been proposed in an analysis of fish harvesting. The model encompasses Gordon-Schaefer model and Pella-Tomlinson model that have been used in the study of extensive data on baleen whales, harp seals and Gulf of St. Lawrence cod. It is confirmed that the harvesting of those species which is more profitable in terms of biomass for the data supports.
引文
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