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Session:

Poster Session

Title:

Preliminary development of a probability-based fire severity modeling system for California forests

Desarrollo Preliminar de un Modelo de Probabilidades, para establecer la gravedad de los incendios en los bosques de California

Author(s):

John W. Benoit
Haiganoush K. Preisler
 

Abstract:

Fire occurrence depends on the physical and biological factors of the fire environment, but fires don’t necessarily occur when the environment is primed. We describe a probability model that relates fire occurrence to the spatial/temporal history of fire in a region, in addition to characteristics of the fire environment that might serve as explanatory variables. The model expresses 1) the probability of having a fire at a particular place and day; 2) having a large fire (> 100 acres), given an ignition; and 3) the unconditional probability of having a large fire. The modeling methodology is described for forested areas in Oregon and California. The probability model is being developed as a tool for regional fire risk assessments.

 

 

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