Research Area: Metaheuristic Computing
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.
Keywords:
Aquatic invasive species
Decision-support tool
Invasive species management
Resource allocation
Network algorithm
Aquatic resource management
Stakeholder engagement
Author(s) Name: Amy C. Kinsley, Robert G. Haight, Nicholas Snellgrove, Petra Muellner, Ulrich Muellner, Meg Duhr, Nicholas B.D. Phelps
Journal name: Journal of Environmental Management
Conferrence name:
Publisher name: Elsevier
DOI: 10.1016/j.jenvman.2022.115037
Volume Information: Volume 314, 15 July 2022, 115037
