Unknown

Dataset Information

Relationships of climate, human activity, and fire history to spatiotemporal variation in annual fire probability across California.


ABSTRACT: In the face of recent wildfires across the Western United States, it is essential that we understand both the dynamics that drive the spatial distribution of wildfire, and the major obstacles to modeling the probability of wildfire over space and time. However, it is well documented that the precise relationships of local vegetation, climate, and ignitions, and how they influence fire dynamics, may vary over space and among local climate, vegetation, and land use regimes. This raises questions not only as to the nature of the potentially nonlinear relationships between local conditions and the fire, but also the possibility that the scale at which such models are developed may be critical to their predictive power and to the apparent relationship of local conditions to wildfire. In this st

SUBMITTER: Park IW 

PROVIDER: S-EPMC8565767 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature