A Bi-Level Model for State and County Aquatic Invasive Species Prevention Decisions, Minnesota, 2022

Dataset

Description

These data contain a bi-level model for determining how a state planner can efficiently allocate inspection resources to county managers, who independently decide where to locate inspection stations. We apply the model to a hypothetical allocation problem for the state of Minnesota. The model includes the infestation status of 9,182 lakes, of which 471 are infested with zebra mussel, starry stonewort, or Eurasian watermilfoil, and estimates of annual numbers of high-risk boat movements from infested to uninfested lakes.

Description
These data contain the bi-level integer programming model as GAMS code, numbers of boat movements between pairs of lakes, and lake infestation status. The excel file is a list of 9,182 lakes in MN by county showing UTM coordinates and the 2019 infestation status for zebra mussels, starry stonewort, and Eurasian
watermilfoil.

Funding information
Sponsorship: Funding for this project was provided by the Minnesota Environment and Natural Resources Trust Fund as recommended by the Minnesota Aquatic Invasive Species Research Center (MAISRC) and the Legislative-Citizen Commission on Minnesota Resources (LCCMR).
Date made availableMar 4 2022
PublisherData Repository for the University of Minnesota
Date of data productionMar 4 2022

Cite this