Forecasting Grasshopper Outbreaks in the Western United States using Machine Learning Tools

Machine learning tools help us integrate historic grasshopper survey data and grasshopper biology with environmental covariates (e.g., climate, soil, and topography) to generate grasshopper outbreaks forecasts for the 17 contiguous states in the western United States. Maxent machine learning tool helps us generate potential distribution maps for 12 most damaging and widespread rangeland pest grasshopper species in the western United States.