Forecasting invasive insect threats in Minnesota

photograph of an asian longhorned beetle

Asian longhorned beetle

Image credit: David J. Barber, CC BY-SA 3.0, via Wikimedia Commons

 

Outcome

This project used machine-learning techniques to develop maps that describe where the climate in Minnesota might be most welcoming for nine priority terrestrial invasive insect species: 

  • Soybean aphid (Aphis glycines)
  • Asian longhorned beetle (Anoplophora glabripennis
  • European grape berry moth (Eupoecilia ambiguella
  • Old world bollworm (Helicoverpa armigera
  • Spotted wing drosophila (Drosophila sukukii
  • Egyptian cottonworm (Spodoptera littoralis
  • Sirex woodwasp (Sirex noctilio
  • Spongy moth, European (Lymantria dispar dispar)
  • Spongy moth, Asian (Lymantria dispar asiatica)

These maps will serve as a foundation for future efforts to quantify potential economic and ecological impacts of invasive species in our region, and help experts direct management priorities on the ground. 

Publications

Research team

Amy Morey | principal investigator

 

Lab or other website

MITPPC research priorities