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A bi-level model for state and county aquatic invasive species prevention decisions.
Haight, Robert G; Yemshanov, Denys; Kao, Szu-Yu; Phelps, Nicholas B D; Kinsley, Amy C.
Afiliação
  • Haight RG; USDA Forest Service, Northern Research Station, St. Paul, MN, 55108, USA. Electronic address: robert.haight@usda.gov.
  • Yemshanov D; Natural Resources Canada, Canadian Forest Service, Sault Ste. Marie, Ontario, Canada. Electronic address: denys.yemshanov@NRCan-RNCan.gc.ca.
  • Kao SY; University of Minnesota, School of Public Health, Minneapolis, MN, USA. Electronic address: kaoxx085@umn.edu.
  • Phelps NBD; University of Minnesota, Dept. of Fisheries, Wildlife, Conservation Biology, and the Minnesota Aquatic Invasive Species Research Center, St. Paul, MN, USA. Electronic address: phelp083@umn.edu.
  • Kinsley AC; University of Minnesota, Department of Veterinary Population Medicine, and the Minnesota Aquatic Invasive Species Research Center, St. Paul, MN, USA. Electronic address: carr0603@umn.edu.
J Environ Manage ; 327: 116855, 2023 Feb 01.
Article em En | MEDLINE | ID: mdl-36462487
ABSTRACT
Recreational boats are important vectors of spread of aquatic invasive species (AIS) among waterbodies of the United States. To limit AIS spread, state and county agencies fund watercraft inspection and decontamination stations at lake access points. We present 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. In our formulation, each county manager determines a set of optimal plans for the locations of inspection stations under various resource constraints. Each plan maximizes inspections of risky boats that may carry AIS from infested to uninfested lakes within the county. Then, the state planner selects the set of county plans (i.e., one plan for each county) that maximizes the number of risky boats inspected throughout the state subject to a statewide resource constraint. We apply the model using information from Minnesota, USA, including the infestation status of 9182 lakes and estimates of annual numbers of boat movements from infested to uninfested lakes. Comparison of solutions of the bi-level model with solutions of a state-level model where a state planner selects lakes for inspection stations statewide shows that when state and county objectives are not aligned, the loss in efficiency at the state-level can be substantial.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Navios / Espécies Introduzidas Tipo de estudo: Prognostic_studies País/Região como assunto: America do norte Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Navios / Espécies Introduzidas Tipo de estudo: Prognostic_studies País/Região como assunto: America do norte Idioma: En Ano de publicação: 2023 Tipo de documento: Article