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BLM REA MBR 2010 Modeled Future Bioclimate 2050 - Swainsons Hawk This dataset is a raster of predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average) , and then projecting that niche into the future. The future timeslices used are 2020's, which is an average of 2020-2029, and 2050's which is 2050-2059. The Values 1-6 show the degree of model agreement (For example: areas with a value of 1 is where only 1 GCM predicted suitability; pixels with a value of 6 are where 6 GCMs predicted suitability, ect). *see Maxent output pdfs for more details about model inputs and settings. Types: Downloadable; Tags: BLM, Bureau of Land Management, DOI, Geospatial, MBR 2010, All tags... Mojave Basin and Range, REA, Rapid Ecoregional Assessment, Wildlife, biota, climate, climatologyMeteorologyAtmosphere, wildfire, Fewer tags BLM REA MBR 2010 Modeled Future Bioclimate 2050 - Inter-Mountain Basins Mixed Salt Desert Scrub This dataset is a raster of predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average) , and then projecting that niche into the future. The future timeslices used are 2020's, which is an average of 2020-2029, and 2050's which is 2050-2059. The Values 1-6 show the degree of model agreement (For example: areas with a value of 1 is where only 1 GCM predicted suitability; pixels with a value of 6 are where 6 GCMs predicted suitability, ect). *see Maxent output pdfs for more details about model inputs and settings. Types: Downloadable; Tags: BLM, Bureau of Land Management, DOI, Geospatial, MBR 2010, All tags... Mojave Basin and Range, REA, Rapid Ecoregional Assessment, Vegetation, biota, climate, climatologyMeteorologyAtmosphere, wildfire, Fewer tags BLM REA CBR 2010 Modeled Future Bioclimate 2050 - Mule Deer Class D Winter This dataset is a raster of predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average) , and then projecting that niche into the future. The future timeslices used are 2020's, which is an average of 2020-2029, and 2050's which is 2050-2059. The Values 1-6 show the degree of model agreement (For example: areas with a value of 1 is where only 1 GCM predicted suitability; pixels with a value of 6 are where 6 GCMs predicted suitability, ect). *see Maxent output pdfs for more details about model inputs and settings. Types: Downloadable; Tags: BLM, Bureau of Land Management, CBR 2010, Central Basin and Range, DOI, All tags... Geospatial, REA, Rapid Ecoregional Assessment, Wildlife, biota, climate, climatologyMeteorologyAtmosphere, wildfire, Fewer tags BLM REA MBR 2010 Modeled Future Bioclimate 2050 - Bighorn Sheep This dataset is a raster of predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average) , and then projecting that niche into the future. The future timeslices used are 2020's, which is an average of 2020-2029, and 2050's which is 2050-2059. The Values 1-6 show the degree of model agreement (For example: areas with a value of 1 is where only 1 GCM predicted suitability; pixels with a value of 6 are where 6 GCMs predicted suitability, ect). *see Maxent output pdfs for more details about model inputs and settings. Types: Downloadable; Tags: BLM, Bureau of Land Management, DOI, Geospatial, MBR 2010, All tags... Mojave Basin and Range, REA, Rapid Ecoregional Assessment, Wildlife, biota, climate, climatologyMeteorologyAtmosphere, wildfire, Fewer tags BLM REA MBR 2010 Modeled Future Bioclimate 2050 - Mojave Mid Elevation Mixed Desert Scrub This dataset is a raster of predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average) , and then projecting that niche into the future. The future timeslices used are 2020's, which is an average of 2020-2029, and 2050's which is 2050-2059. The Values 1-6 show the degree of model agreement (For example: areas with a value of 1 is where only 1 GCM predicted suitability; pixels with a value of 6 are where 6 GCMs predicted suitability, ect). *see Maxent output pdfs for more details about model inputs and settings. Types: Downloadable; Tags: BLM, Bureau of Land Management, DOI, Geospatial, MBR 2010, All tags... Mojave Basin and Range, REA, Rapid Ecoregional Assessment, Vegetation, biota, climate, climatologyMeteorologyAtmosphere, wildfire, Fewer tags BLM REA MBR 2010 Modeled Future Bioclimate 2050 - Sonoran Mojave Mixed Salt Desert Scrub This dataset is a raster of predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average) , and then projecting that niche into the future. The future timeslices used are 2020's, which is an average of 2020-2029, and 2050's which is 2050-2059. The Values 1-6 show the degree of model agreement (For example: areas with a value of 1 is where only 1 GCM predicted suitability; pixels with a value of 6 are where 6 GCMs predicted suitability, ect). *see Maxent output pdfs for more details about model inputs and settings. Types: Downloadable; Tags: BLM, Bureau of Land Management, DOI, Geospatial, MBR 2010, All tags... Mojave Basin and Range, REA, Rapid Ecoregional Assessment, Vegetation, biota, climate, climatologyMeteorologyAtmosphere, wildfire, Fewer tags BLM REA CBR 2010 mtbs perims Clip CBR The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2010. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This... Types: Downloadable; Tags: BLM, Bureau of Land Management, Burned Area Extent, CBR 2010, Central Basin and Range, All tags... DOI, Fire, Geospatial, Landsat, MTBS, Perimeters, Prescribed Fire, REA, Rapid Ecoregional Assessment, Wildfire, Wildland Fire, environment, Fewer tags BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (2010) The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2011. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer... Types: Downloadable; Tags: BLM, Bureau of Land Management, Burn Severity, Burned Area, DOI, All tags... Fire, Fire Severity, Geospatial, Landsat, MAR 2012, MTBS, Madrean Archipelago, Normalized Burn Ratio, Prescribed Fire, REA, Rapid Ecoregional Assessment, Wildfire, Wildland Fire, differenced Normalized Burn Ratio, environment, Fewer tags BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (2004) The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2011. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer... Types: Downloadable; Tags: BLM, Bureau of Land Management, Burn Severity, Burned Area, DOI, All tags... Fire, Fire Severity, Geospatial, Landsat, MAR 2012, MTBS, Madrean Archipelago, Normalized Burn Ratio, Prescribed Fire, REA, Rapid Ecoregional Assessment, Wildfire, Wildland Fire, differenced Normalized Burn Ratio, environment, Fewer tags BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (1999) The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2011. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer... Types: Downloadable; Tags: BLM, Bureau of Land Management, Burn Severity, Burned Area, DOI, All tags... Fire, Fire Severity, Geospatial, Landsat, MAR 2012, MTBS, Madrean Archipelago, Normalized Burn Ratio, Prescribed Fire, REA, Rapid Ecoregional Assessment, Wildfire, Wildland Fire, differenced Normalized Burn Ratio, environment, Fewer tags BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (2005) The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2011. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer... Types: Downloadable; Tags: BLM, Bureau of Land Management, Burn Severity, Burned Area, DOI, All tags... Fire, Fire Severity, Geospatial, Landsat, MAR 2012, MTBS, Madrean Archipelago, Normalized Burn Ratio, Prescribed Fire, REA, Rapid Ecoregional Assessment, Wildfire, Wildland Fire, differenced Normalized Burn Ratio, environment, Fewer tags BLM REA NWP 2011 FI C 2000 MTBS The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2010. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This... Types: Downloadable; Tags: BLM, Bureau of Land Management, DOI, Fire, Fire Location, All tags... Fire Occurrence, Geospatial, Landsat, MTBS, NWP 2011, Northwestern Plains, Prescribed Fire, REA, Rapid Ecoregional Assessment, Wildfire, Wildland Fire, boundaries, environment, location, Fewer tags BLM REA NGB 2011 Fsim Burn Probability in White Sturgeon Areas (4km) The FSim burn probability was used to determine the burn probability of the white sturgeon range in the ecoregion. This layer was used to examine wildfire risk to areas within the white sturgeon range. Types: Downloadable; Tags: BLM, Bureau of Land Management, Burn Probability, DOI, Fire, All tags... Geospatial, NGB 2011, Northern Great Basin, Northern Great Basin Ecoregion, REA, Rapid Ecoregional Assessment, White Sturgeon, Wildfire, Wildlife, biota, environment, inlandWaters, Fewer tags Burn Probability predicted for 2080 to 2100 for Rio Grande study area Burn probability (BP) raster dataset predicted for the 2080-2100 period in the Rio Grande area was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the 8.5 Representative Concentration Pathway. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: burn probability, fire, future climate, gis, rio grande, All tags... wildfire, Fewer tags Burn Probability for Fireline Intensity Class 6, predicted for 2080 to 2100 for Rio Grande study area Burn probability (BP) for Fireline Intensity Class 6 (FIL6) with flame lengths in the range of 3.7-15 m predicted for the 2080-2100 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the 8.5... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: burn probability, fire, fireline intensity, future climate, gis, All tags... rio grande, wildfire, Fewer tags Burn Probability for Fireline Intensity Class 2, predicted for 2050 to 2070 for Rio Grande study area Burn probability (BP) for Fireline Intensity Class 2 (FIL2) with flame lengths in the range of 0.6-1.2 m predicted for the 2050-2070 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: burn probability, fire, fireline intensity, future climate, gis, All tags... rio grande, wildfire, Fewer tags Burn Probability for Fireline Intensity Class 5, predicted for 2080 to 2100 for Rio Grande study area Burn probability (BP) for Fireline Intensity Class 5 (FIL5) with flame lengths in the range of 2.4-3.7 m predicted for the 2080-2100 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: burn probability, fire, fireline intensity, future climate, gis, All tags... rio grande, wildfire, Fewer tags Burn Probability for Fireline Intensity Class 4, predicted for 2050 to 2070 for Rio Grande study area Burn probability (BP) for Fireline Intensity Class 4 (FIL4) with flame lengths in the range of 1.8-2.4 m predicted for the 2050-2070 period in the Rio Grande area. This raster dataset was generated using: 1) data developed from the 2014 Fire Program Analysis (FPA) system; 2) geospatial Fire Simulation (FSim) system developed by the US Forest Service Missoula Fire Sciences Laboratory to estimate probabilistic components of wildfire risk (Finney et al. 2011); and 3) climate predictions developed using the Multivariate Adaptive Constructed Analogs (MACA) method (Abatzoglou and Brown 2011) which downscaled model output from the GFDL-ESM-2m global climate model of the Coupled Model Inter-Comparison Project 5 for the... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: burn probability, fire, fireline intensity, future climate, gis, All tags... rio grande, wildfire, Fewer tags Region 8 FMIS Wildfire and Fuel Treatment Locations 1980-2015 Wildfire and fuel treatment locations for the USFWS Pacific Southwest Region (California, Nevada, Klamath Basin OR) extracted from the Fire Management Information System (FMIS) on October 23, 2015, for fiscal years 1980-2015. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Citation, Downloadable, Map Service; Tags: California, Inventory and Monitoring, Natural Resources, Nevada, Oregon, All tags... USFWS, Wildlife Refuge, environment, environment, fuel, treatment, wildfire, Fewer tags BLM REA CBR 2010 Modeled Future Bioclimate 2050 - Northern Rubber Boa This dataset is a raster of predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average) , and then projecting that niche into the future. The future timeslices used are 2020's, which is an average of 2020-2029, and 2050's which is 2050-2059. The Values 1-6 show the degree of model agreement (For example: areas with a value of 1 is where only 1 GCM predicted suitability; pixels with a value of 6 are where 6 GCMs predicted suitability, ect). *see Maxent output pdfs for more details about model inputs and settings. Types: Downloadable; Tags: BLM, Bureau of Land Management, CBR 2010, Central Basin and Range, DOI, All tags... Geospatial, REA, Rapid Ecoregional Assessment, Wildlife, biota, climate, climatologyMeteorologyAtmosphere, wildfire, Fewer tags 1 2 3 4 5 ... 10 »