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Filters Date Range Past year (1) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Downloadable (1) GeoTIFF (1) Map Service (1) Raster (1) Contacts John B Bradford Southwest Biological Science Center U.S. Geological Survey U.S. Geological Survey - ScienceBase Daniel R Schlaepfer Martin C Holdrege Tag Types Theme (1) Place (1) USGS Scientific Topic Keyword (1) Harvest Set (1) Tag Schemes Geographic Names Information System (GNIS) (1) None (1) USGS Thesaurus (1) ISO 19115 Topic Categories (1) USGS information products (1) View Results as: JSON ATOM CSV

Observed wildfire frequency, modelled wildfire probability, climate, and fine fuels across the big sagebrush region in the western United States These data were compiled so that annual wildfire could be modelled across the sagebrush region in the western United States. Our goal was to understand how wildfire probability relates to climate and fuel conditions across the entire sagebrush region. To do this we developed a statistical model that represents the relationship between annual wildfire probability and a small number of climate and fuel variables. Specifically, created predictions of wildfire probability using a biologically plausible logistic regression model that related wildfire probability to mean temperature, annual precipitation, the proportion summer precipitation (PSP), and aboveground biomass of annual herbaceous plants and perennial herbaceous... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Arizona, Botany, California, Climatology, Colorado, All tags... Ecology, Forestry, Geography, Idaho, Information Sciences, Land Use Change, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oregon, Remote Sensing, South Dakota, USGS Science Data Catalog (SDC), Utah, Washington, Wyoming, aboveground biomass, air temperature, annual plants, annual-grass fire cycle, atmospheric and climatic processes, biogeography, biota, data release, ecology, environment, fine fuel availability, fire occurrence, fires, herbacious plants, human impacts, logistic regression model, mathematical modeling, perennial plants, plants (organisms), precipitation (atmospheric), sagebrush region, vegetation, vegetation data, western United States, widlfire probability, wildfires, Fewer tags