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

Haight, Robert, G.
Yemshanov, Denys
Kao, Szu-Yu
Phelps, Nicholas, B.D.
Kinsley, Amy, C
2022-03-04
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https://doi.org/10.13020/znyd-a594
 https://hdl.handle.net/11299/226575
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A Bi-Level Model for State and County Aquatic Invasive Species Prevention Decisions, Minnesota, 2022

Published Date

2022-03-04

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University of Minnesota, Minnesota Aquatic Invasive Species Research Center
University of Minnesota, School of Public Health
University of Minnesota, Department of Veterinary Population Medicine
Canadian Forest Service, Great Lakes Forestry Centre, Sault Ste. Marie, Ontario, Canada
USDA Forest Service, Northern Research Station, St. Paul, MN, USA

Author Contact

Haight, Robert, G.
robert.haight@usda.gov

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Dataset
Programming Software Code
Simulation Data

Abstract

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.

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CC0 1.0 Universal
 http://creativecommons.org/publicdomain/zero/1.0/

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Data Repository for U of M (DRUM)
MAISRC Research Data

Funding information

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).

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Haight, Robert, G.; Yemshanov, Denys; Kao, Szu-Yu; Phelps, Nicholas, B.D.; Kinsley, Amy, C. (2022). A Bi-Level Model for State and County Aquatic Invasive Species Prevention Decisions, Minnesota, 2022. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/znyd-a594.

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lake_data.xlsx
Lake data including DOW, name, size, county, UTM, and 2019 infestation status
(704.21 KB)

gams_model.zip
GAMS code for the bi-level model
(3.08 MB)

Bi-level model readme RGH.txt
Readme
(7.71 KB)

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