Emerald ash borer (EAB), a wood‐boring insect native to Asia, was discovered near Detroit in 2002 and has spread and killed millions of ash trees throughout the eastern United States and Canada. EAB causes severe damage in urban areas where it kills highvalue ash trees that shade streets, homes, and parks and costs homeowners and local governments millions of dollars for treatment, removal, and replacement of infested trees. We present a multistage, stochastic, mixed‐integer programming model to help decision‐makers maximize the public benefits of preserving healthy ash trees in an urban environment. The model allocates resources to surveillance of the ash population and subsequent treatment and removal of infested trees over time. We explore the multistage dynamics of an EAB outbreak with a dispersal mechanism and apply the optimization model to explore surveillance, treatment, and removal options to manage an EAB outbreak in Winnipeg, a city of Manitoba, Canada.

中文翻译：

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优化城市环境中翡翠灰蛀虫的监测和管理

翡翠灰螟 (EAB) 是一种原产于亚洲的木材蛀虫，于 2002 年在底特律附近被发现，它已经在美国东部和加拿大蔓延并杀死了数百万棵灰树。EAB 在城市地区造成严重破坏，它杀死遮蔽街道、房屋和公园的高价值白蜡树，并使房主和地方政府花费数百万美元来处理、移除和更换受感染的树木。我们提出了一个多阶段、随机、混合整数规划模型，以帮助决策者最大限度地提高在城市环境中保护健康白蜡树的公共利益。随着时间的推移，该模型将资源分配给灰烬种群的监测以及随后处理和移除受侵染的树木。