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