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Future changes in southcentral U.S. wildfire probability due to climate change-Data


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Stambaugh, M.C., 2018, Future changes in southcentral U.S. wildfire probability due to climate change-Data: U.S. Geological Survey data release,


Globally, changing fire regimes due to climate is one of the greatest threats to ecosystems and society. This dataset presents projections of historic and future fire probability for the southcentral U.S. using downscaled climate projections and the Physical Chemistry Fire Frequency Model (PC2FM, Guyette et al., 2012). Climate data from 1900-1929 and projected climate data for 2040-2069 and 2070-2099 were used as model inputs to the Physical Chemistry Fire Frequency Model (Guyette et al. 2012) to estimate fire probability. Baseline and future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. The nine associated data sets (tiffs) represent estimated change in mean fire probability (CFP) clipped to [...]

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Point of Contact :
Michael C Stambaugh
Originator :
Michael C Stambaugh
Metadata Contact :
CERC Data Managers
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase


Data were collected to model potential changes in wildfire probability for Texas, Oklahoma, and New Mexico. Identification and description of these conditions may help anticipate fire regimes changes that will affect human health, agriculture, species conservation, and nutrient and water cycling.


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ScienceBase WMS


  • Columbia Environmental Research Center (CERC)



Data source
Input directly

Additional Information


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DOI doi:10.5066/F7PK0F4V

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