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植物生物安全中的拦截、检测和根除的优化策略

Optimal Strategies for Interception, Detection, and Eradication in Plant Biosecurity.

作者信息

Pasquali Sara, Gilioli Gianni, Janssen Dirk, Winter Stephan

机构信息

CNR-IMATI, Via Bassini 15, 20133, Milano, Italy.

DMMT, University of Brescia, Viale Europa 11, 25123, Brescia, Italy.

出版信息

Risk Anal. 2015 Sep;35(9):1663-73. doi: 10.1111/risa.12278. Epub 2014 Sep 26.

Abstract

The introduction of invasive species causes damages from the economic and ecological point of view. Interception of plant pests and eradication of the established populations are two management options to prevent or limit the risk posed by an invasive species. Management options generate costs related to the interception at the point of entry, and the detection and eradication of established field populations. Risk managers have to decide how to allocate resources between interception, field detection, containment, and eradication minimizing the expected total costs. In this work is considered an optimization problem aiming at determining the optimal allocation of resources to minimize the expected total costs of the introduction of Bemisia tabaci-transmitted viruses in Europe. The optimization problem takes into account a probabilistic model for the estimation of the percentage of viruliferous insect populations arriving through the trade of commodities, and a population dynamics model describing the process of the vector populations' establishment and spread. The time of field detection of viruliferous insect populations is considered as a random variable. The solution of the optimization problem allows to determine the optimal allocation of the search effort between interception and detection/eradication. The behavior of the search effort as a function of efficacy or search in interception and in detection is then analyzed. The importance of the vector population growth rate and the probability of virus establishment are also considered in the analysis of the optimization problem.

摘要

入侵物种的引入会造成经济和生态方面的损害。拦截植物害虫以及根除已建立的种群是预防或限制入侵物种所带来风险的两种管理选择。管理选择会产生与在入境点的拦截以及对已建立的田间种群的检测和根除相关的成本。风险管理者必须决定如何在拦截、田间检测、控制和根除之间分配资源,以使预期总成本最小化。在这项工作中,考虑了一个优化问题,旨在确定资源的最优分配,以最小化欧洲烟粉虱传播病毒引入的预期总成本。该优化问题考虑了一个概率模型,用于估计通过商品贸易到达的带毒昆虫种群的百分比,以及一个种群动态模型,描述了媒介种群建立和传播的过程。带毒昆虫种群的田间检测时间被视为一个随机变量。优化问题的解决方案允许确定在拦截和检测/根除之间搜索工作的最优分配。然后分析了搜索工作作为拦截和检测中功效或搜索的函数的行为。在优化问题的分析中还考虑了媒介种群增长率和病毒建立概率的重要性。

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