Data-driven approach to informed decision making

Minnesota Aquatic Invasive Species Research Center - University of Minnesota - Driven to Discover

On this tab, you can examine results from a model that predicts the “risk score” (ranging from 0 [very low chance of new infestations] to 1 [very high chance of new infestations) for individual lakes. A lake’s “risk score” is a function of its habitat suitability, its physical connections with other waterbodies, and its connections with other waterbodies through the movements of boaters. At present, you can examine model results for either zebra mussel or starry stonewort; more invasive species may be added in the future. You can select whether physical or boater connections between lakes affect their overall risk scores, and you can examine the results at the scale of an entire state or for just one or more counties or territories. Results are presented on an interactive map, or they can also be downloaded as a spreadsheet. These risk scores could be used to inform decisions about where to conduct spread mitigation or infestation surveillance efforts.

Created for the Minnesota Aquatic Invasive Species Research Center at University of Minnesota

Developed by Epi

Funding provided by the Minnesota Environment and Natural Resources Trust Fund as recommended by the Legislative-Citizen Commission on Minnesota Resources (LCCMR)

Introduction Risk for Surveillance

Download map image

Intervention impact

Created for the Minnesota Aquatic Invasive Species Research Center at University of Minnesota

Developed by Epi

Funding provided by the Minnesota Environment and Natural Resources Trust Fund as recommended by the Legislative-Citizen Commission on Minnesota Resources (LCCMR)

Prioritization for Watercraft Inspections

Data-driven approach to informed decision making

Introduction Risk for Surveillance

Which state are you interested in?

Minnesota

Wisconsin

Introduction Risk for Surveillance

Intervention impact

Prioritization for Watercraft Inspections

Not found