Texas A&M researchers are identifying the best methods for reducing the risk of wildfires.
While wildfires remain an unpredictable threat, researchers at Texas A&M University are attempting to mitigate the uncertainty by using mathematic and statistical models to identify the most cost effective and efficient strategies for reducing wildfire risk through vegetation removal, or fuel treatment, strategies.
Texas A&M is represented by Texas A&M AgriLife Research’s Jianbang Gan, a forest management and economics professor in the Department of Ecology and Conservation Biology, and Lewis Ntaimo, professor and head of the Wm Michael Barnes ‘64 Department of Industrial & Systems Engineering.
The two Texas A&M researchers received $280,000 of a $550,0000 National Science Foundation, NSF, grant for this interdisciplinary, collaborative project with Oleg Prokopyev in the Swanson School of Engineering at the University of Pittsburgh.
Continue reading at Texas A&M University
Image via Texas A&M University
