Habitat Suitability Modeling with MaxEnt
Project lead: Jessica Mitchell
Environmental, climate, and remote sensing variables can be combined with occurrence points to prioritize treatment for species that are difficult to remotely detect. Here, we show this process applied to cheatgrass (Mitchell, J. and N. Glenn. February 2009. Predictive mapping of cheatgrass (Bromus tectorum) with MaxEnt. Prepared for Bureau of Land Management, Boise, Idaho.).
Cheatgrass presence
Cheatgrass absence
Invasion susceptibility
