Budget allocation and illegal fishing: a game theoretic approach.

IF 2.6 4区 工程技术 Q1 Mathematics
Maggie R Sullens, Nina H Fefferman
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引用次数: 0

Abstract

Conservation efforts are under constant threat of failure due to poaching. Efforts to combat poaching may take a number of forms, but access to each form depends on resources, and access to these resources may depend on the success of previous efforts (e.g., monetary donations from supporters could directly combat poaching, but may be more effective if partially spent on recruiting additional supporters who then also donate). We adopted a mathematical framework with inspiration from the famous colonel blotto game to model the ongoing battle between conservationists and poachers. Focusing on a marine setting as a case study, players have budgets consisting of three types of resources: monetary, non-monetary, and supporters. The heterogeneous battlefields (laws, marine reserves, and community) reflect commonly employed conservation tactics meant to limit poaching. conservationists allocate resources to limit the success of poachers, while poachers allocate resources to overcome barriers implemented by conservationists. We assumed that no action can succeed without supporters, and thus whichever player wins over all the supporters in the community (i.e., the community battlefield), wins the game. We analyzed battlefield payoffs and player budget distributions to determine overall player success. We demonstrated how initially disadvantaged players may have an opportunity to win the game, although, we found that success in the first round can be most critical under certain scenarios. By framing the question in this way, we hope to provide additional tools for decision support to guide resource allocation, improving the efficacy of conservation efforts.

预算分配与非法捕鱼:博弈论方法。
由于偷猎,保护工作不断受到失败的威胁。打击偷猎的努力可能有多种形式,但能否获得每一种形式都取决于资源,而获得这些资源可能取决于以前的努力是否成功(例如,支持者的捐款可以直接打击偷猎,但如果部分用于招募更多的支持者,他们也会捐款,可能会更有效)。我们采用了一个数学框架,灵感来自著名的斑点上校游戏,来模拟环保主义者和偷猎者之间正在进行的战斗。以海洋为例,玩家的预算由三种资源组成:货币、非货币和支持者。不同的战场(法律、海洋保护区和社区)反映了通常采用的旨在限制偷猎的保护策略。保护主义者分配资源是为了限制偷猎者的成功,而偷猎者分配资源是为了克服保护主义者设置的障碍。我们假设没有支持者,任何行动都无法成功,因此赢得社区中所有支持者(即社区战场)的玩家就赢得了游戏。我们分析了战场收益和玩家预算分布,以确定玩家的总体成功。我们展示了最初处于劣势的玩家如何有机会赢得游戏,尽管我们发现在某些情况下,第一轮的成功可能是最关键的。通过以这种方式构建问题,我们希望为决策支持提供额外的工具,以指导资源分配,提高保护工作的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mathematical Biosciences and Engineering
Mathematical Biosciences and Engineering 工程技术-数学跨学科应用
CiteScore
3.90
自引率
7.70%
发文量
586
审稿时长
>12 weeks
期刊介绍: Mathematical Biosciences and Engineering (MBE) is an interdisciplinary Open Access journal promoting cutting-edge research, technology transfer and knowledge translation about complex data and information processing. MBE publishes Research articles (long and original research); Communications (short and novel research); Expository papers; Technology Transfer and Knowledge Translation reports (description of new technologies and products); Announcements and Industrial Progress and News (announcements and even advertisement, including major conferences).
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