Abstract Effective biosecurity systems are important for protecting trade and the environment from the introduction of exotic pests and diseases, particularly as the movement of goods and people increases worldwide. But systems are complex and the optimal division of resources between biosecurity operations is difficult to determine. In this paper we formulate tractable, stochastic, bio-economic models to guide the optimisation of cost-efficiency in decisions concerning biosecurity operations. In particular, to guide a tradeoff between effort afforded to preventing the introduction of pests and diseases, and post-border surveillance, although the approach has general relevance. The models offer a practical means of optimising resource partitioning, designed to transfer easily between disparate settings and a range of pest-types, and to enable the incorporation of uncertainty. For highly complex problems, tractable frameworks are not always available or efficient. However, using an application to Asian gypsy moth trapping and reference to applications in the literature, we demonstrate that the proposed approach is relevant, is straightforward to apply, and provides a comprehensive analysis for decision-makers.

中文翻译：

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划分生物安全监测资源的随机经济框架

摘要 有效的生物安全系统对于保护贸易和环境免受外来病虫害的影响非常重要，特别是随着全球货物和人员流动的增加。但系统很复杂，生物安全行动之间的最佳资源分配很难确定。在本文中，我们制定了易处理的、随机的、生物经济模型，以指导有关生物安全运营决策的成本效率优化。特别是指导在防止病虫害传入的努力与边境后监测之间的权衡，尽管该方法具有普遍意义。这些模型提供了一种优化资源划分的实用方法，旨在在不同的环境和一系列害虫类型之间轻松转移，并允许纳入不确定性。对于高度复杂的问题，易处理的框架并不总是可用或高效的。然而，使用亚洲吉普赛蛾诱捕的应用程序并参考文献中的应用程序，我们证明了所提出的方法是相关的，易于应用，并为决策者提供了全面的分析。