Potential shifts in dominant forest cover in interior Alaska driven by variations in fire severity.

The article presents a study regarding the role of variations in fire severity in driving the potential shifts in dominant forest cover in interior Alaska. The study utilizes ensemble techniques using regression trees as base learner to determine fire severity using spectral data in concert with other relevant geospatial data. It also reveals how disturbance-driven modification can affect the carbon cycle and climate system at regional to global scales.