Kinsley Amy C, Haight Robert G, Snellgrove Nicholas, Muellner Petra, Muellner Ulrich, Duhr Meg, Phelps Nicholas B D
University of Minnesota, Department of Veterinary Population Medicine, St. Paul, Minnesota, USA; University of Minnesota, Center for Animal Health and Food Safety, St. Paul, Minnesota, USA; University of Minnesota, Minnesota Aquatic Invasive Species Research Center, USA.
USDA Forest Service, Northern Research Station, St. Paul, Minnesota, USA.
J Environ Manage. 2022 Jul 15;314:115037. doi: 10.1016/j.jenvman.2022.115037. Epub 2022 Apr 21.
Invasions of aquatic invasive species have caused significant economic and ecological damage to global aquatic ecosystems. Once an invasive population has established in a new habitat, eradication can be financially and logistically impossible, motivating management strategies to rely heavily upon prevention measures to reduce the introduction and spread. To be productive, on-the-ground management of aquatic invasive species requires effective decision-making surrounding the allocation of limited resources. Watercraft inspections play an important role in managing aquatic invasive species by preventing the overland transport of invasive species between waterbodies and providing education to boaters. In this study, we developed and tested an interactive web-based decision-support tool, AIS Explorer: Prioritization for Watercraft Inspections, to guide AIS managers in developing efficient watercraft inspection plans. The decision-support tool is informed by a network-based algorithm that maximized the number of inspected watercraft that move from AIS infested to uninfested lakes within and between counties in Minnesota, USA. It was iteratively built with stakeholder feedback, including consultations with county managers, beta-testing of the web-based application, and workshops to educate and train end-users. The co-development and implementation of data-driven decision support tools demonstrate how interdisciplinary methods can be used to connect science and management to support decision-making. The AIS Explorer: Prioritization for Watercraft Inspections application makes optimized research outputs accessible in multiple dynamic forms that maintain pace with discovery of new infestations and local needs. In addition, the decision support tool has supported improved and closer communication between AIS managers and researchers on this topic.
水生入侵物种的入侵已对全球水生生态系统造成了重大的经济和生态破坏。一旦入侵种群在新栖息地建立起来，从经济和后勤角度来说根除是不可能的，这促使管理策略严重依赖预防措施来减少引入和扩散。为了提高成效，对水生入侵物种进行实地管理需要围绕有限资源的分配做出有效的决策。船只检查在管理水生入侵物种方面发挥着重要作用，它可以防止入侵物种在水体之间的陆路运输，并向船主提供教育。在本研究中，我们开发并测试了一个基于网络的交互式决策支持工具——AIS Explorer：船只检查优先级，以指导AIS管理人员制定高效的船只检查计划。该决策支持工具由一种基于网络的算法提供信息，该算法能使从美国明尼苏达州各县境内及各县之间受AIS侵扰的湖泊驶向未受侵扰湖泊的被检查船只数量最大化。它是在利益相关者的反馈下迭代构建的，包括与县管理人员的磋商、基于网络应用程序的测试以及对终端用户进行教育和培训的研讨会。数据驱动的决策支持工具的共同开发和实施展示了如何使用跨学科方法将科学与管理联系起来以支持决策制定。AIS Explorer：船只检查优先级应用程序以多种动态形式提供优化的研究成果，这些形式能跟上新侵扰的发现和当地需求的步伐。此外，该决策支持工具促进了AIS管理人员和研究人员在这个主题上更好、更密切的沟通。
