在渔捞努力量达到理想自由分布的情况下,作为参考点的最大可持续产量

IF 1.8 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Darren M. Gillis, Jonah Koscielny, Benjamin Blanz
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引用次数: 0

摘要

尽管过去存在困难,但最大可持续产量的概念和基本的舍费尔模型仍然适用于今天的渔业管理。然而,这种模式的应用往往不考虑渔业活动的空间结构或动态。我们将Schaefer模型扩展到多个渔场和捕鱼活动(努力量),它们遵循由开发驱动的理想自由分布(IFD,纳什均衡的一种形式)。我们使用解析解和数值解来探索这个概念模型。当渔业在场地内独立分配时,整个渔场的MSY不受空间结构的影响。然而,在其他情况下,IFD努力动态降低了MSY并修改了相关参考点的值。在使用MSY作为管理参考点或在将Schaefer模型应用于数据有限的渔业时,应考虑船队动力学的博弈论方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximum sustainable yield as a reference point in the presence of fishing effort that follows an ideal free distribution
The concept of maximum sustainable yield (MSY), and the underlying Schaefer model, remain relevant in fisheries management today in spite of past difficulties. However, this model is often applied without the consideration of the spatial structure or dynamics of fishing activities. We expand the Schaefer model to account for multiple fishing sites and fishing activities (effort) that follow an ideal free distribution (IFD, a form of Nash equilibrium) driven by exploitation. We explore this conceptual model using both analytical and numerical solutions. MSY across the fishery is unaffected by the spatial structure when fishing is allocated independently within sites. However, in other cases IFD effort dynamics depress MSY and modify the values of associated reference points. The game theoretic aspect of fleet dynamics should be considered in the use of MSY as a management reference point or during the application of the Schaefer model to data-limited fisheries.
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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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