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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...
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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...
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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...
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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...
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This raster dataset contains biophysical settings (band 1) and wildfire frequencies (band 2) within the Mojave Desert ecological section of California. Biophysical settings were developed by the LANDFIRE program and fires occurences were mapped by the Monitoring Trends in Burn Severity (MTBS) program.
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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...
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This raster dataset contains biophysical settings (band 1) and wildfire frequencies (band 2) within the Southeastern Great Basin ecological section of California. Biophysical settings were developed by the LANDFIRE program and fires occurences were mapped by the Monitoring Trends in Burn Severity (MTBS) program.
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The California desert occupies the southeastern 27% of California (11,028,300 ha, 110,283 km2 or 27,251,610 ac). It includes two ecoregional provinces comprised of five desert regions (“ecological sections”; Miles and Goudy 1997). The American Semi-Desert and Desert Province (warm deserts) includes the Mojave Desert, Sonoran Desert, and Colorado Desert sections in the southern 83% of the California desert. The Intermountain Semi-Desert Province (cold deserts) includes the Southeastern Great Basin and Mono sections in the northern 17% of the region. Previous analyses of fire patterns across the California desert have used point occurrence data. Point occurrence data can have limitations because they can: (1) represent...
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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...
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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...
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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...
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This raster dataset contains biophysical settings (band 1) and wildfire frequencies (band 2) within the Mono ecological section of California. Biophysical settings were developed by the LANDFIRE program and fires occurences were mapped by the Monitoring Trends in Burn Severity (MTBS) program.
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This raster dataset contains biophysical settings (band 1) and wildfire frequencies (band 2) within the Colorado Desert ecological section of California. Biophysical settings were developed by the LANDFIRE program and fires occurences were mapped by the Monitoring Trends in Burn Severity (MTBS) program.
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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...
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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...
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This raster dataset contains biophysical settings (band 1) and wildfire frequencies (band 2) within the Sonoran Desert ecological section of California. Biophysical settings were developed by the LANDFIRE program and fires occurences were mapped by the Monitoring Trends in Burn Severity (MTBS) program.


    map background search result map search result map Fire Patterns among Ecological Zones in the California Desert, 1984–2013 Biophyiscal settings and wildfire frequencies in the Colorado Desert ecological section of California, 1984 to 2013 Biophyiscal settings and wildfire frequencies in the Mojave Desert ecological section of California, 1984 to 2013 Biophyiscal settings and wildfire frequencies in the Mono ecological section of California, 1984 to 2013 Biophyiscal settings and wildfire frequencies in the Sonoran Desert ecological section of California, 1984 to 2013 Biophyiscal settings and wildfire frequencies in the Southeastern Great Basin ecological section of California, 1984 to 2013 Future changes in southcentral U.S. wildfire probability due to climate change-Data Fire probability for 1900-1929 using CGCM baseline climate values Fire probability for 1900-1929 using GFDL baseline climate values Fire probability for 1900-1929 using HadCM3 baseline climate values Change in fire probability from baseline to 2040-2069 using CGCM-projected climate values Change in fire probability from baseline to 2040-2069 using GFDL-projected climate values Change in fire probability from baseline to 2040-2069 using HadCM3-projected climate values Change in fire probability from baseline to 2070-2099 using CGCM-projected climate values Change in fire probability from baseline to 2070-2099 using GFDL-projected climate values Change in fire probability from baseline to 2070-2099 using HadCM3-projected climate values Biophyiscal settings and wildfire frequencies in the Southeastern Great Basin ecological section of California, 1984 to 2013 Biophyiscal settings and wildfire frequencies in the Colorado Desert ecological section of California, 1984 to 2013 Biophyiscal settings and wildfire frequencies in the Sonoran Desert ecological section of California, 1984 to 2013 Biophyiscal settings and wildfire frequencies in the Mono ecological section of California, 1984 to 2013 Biophyiscal settings and wildfire frequencies in the Mojave Desert ecological section of California, 1984 to 2013 Fire Patterns among Ecological Zones in the California Desert, 1984–2013 Future changes in southcentral U.S. wildfire probability due to climate change-Data Fire probability for 1900-1929 using GFDL baseline climate values Fire probability for 1900-1929 using HadCM3 baseline climate values Change in fire probability from baseline to 2040-2069 using GFDL-projected climate values Change in fire probability from baseline to 2040-2069 using HadCM3-projected climate values Change in fire probability from baseline to 2070-2099 using GFDL-projected climate values Change in fire probability from baseline to 2070-2099 using HadCM3-projected climate values Fire probability for 1900-1929 using CGCM baseline climate values Change in fire probability from baseline to 2040-2069 using CGCM-projected climate values Change in fire probability from baseline to 2070-2099 using CGCM-projected climate values