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BLM REA MAR 2012 CONUS Thematic Burn Severity Mosaic (2008) 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 CBR 2010 Modeled Future Bioclimate 2050 - Sonora Mojave Semi-Desert Chaparral 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, Vegetation, biota, climate, climatologyMeteorologyAtmosphere, wildfire, Fewer tags BLM REA CBR 2010 Modeled Future Bioclimate 2050 - Coopers 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, CBR 2010, Central Basin and Range, DOI, All tags... Geospatial, REA, Rapid Ecoregional Assessment, Wildlife, biota, climate, climatologyMeteorologyAtmosphere, wildfire, Fewer tags BLM REA CBR 2010 Modeled Future Bioclimate 2050 - Mule Deer Class B Summer 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 CBR 2010 Modeled Future Bioclimate 2050 - Inter-Mountains Basins Subalpine Limber Bristlecone Pine Woodland 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, Vegetation, biota, climate, climatologyMeteorologyAtmosphere, wildfire, Fewer tags BLM REA CBR 2010 Modeled Future Bioclimate 2050 - Inter-Mountain Basins Big Curly Leaf Mountain Mahogany Woodland and Shrubland 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, Vegetation, biota, climate, climatologyMeteorologyAtmosphere, wildfire, Fewer tags BLM REA MBR 2010 Modeled Future Bioclimate 2050 - Mule Deer Class F Year Round 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 - Gila Monster 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 Combined wildland fire datasets for the United States and certain territories, 1800s-Present (summary rasters) First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. Currently, there are multiple, freely available wildland fire datasets that identify wildfire and prescribed fire areas across the United States. However, these datasets are all limited in some way. Time periods, spatial extents, attributes, and maintenance for these datasets are highly variable, and none of the existing datasets provide a comprehensive picture of wildfires that have burned since the 1800s. Utilizing a series of both manual processes and ArcGIS Python (arcpy) scripts, we merged 40 of these disparate datasets into a single dataset that encompasses the known... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Fire, North America, Prescribed Burn, Prescribed Fire, Raster, All tags... United States, United States, Wildfire, Wildland Fire, burned area, environment, fire, fires, first year burned, geospatial datasets, most recent year burned, number of times burned, prescribed fire, raster, wildfire, Fewer tags Fire probability for 1900-1929 using GFDL baseline climate values 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... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: New Mexico, Oklahoma, Texas, climate change, mean fire interval, All tags... wildfire, wildfire frequency, Fewer tags Conditional Flame Length predicted for 2050 to 2070 for Rio Grande study area Conditional Flame Length (CFL) is an estimate of the mean flame lengths for each pixel, and was predicted for the 2050-2070 period in the Rio Grande area 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. CFL... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: conditional flame length, fire, future climate, gis, rio grande, All tags... wildfire, Fewer tags Fire type predicted for 2020 to 2040 for Rio Grande study area Fire type predicted for the 2020-2040 period in the Rio Grande area with five classes: 1) shrub vegetation with torching flames; 2) shrub vegetation without torching flames; 3) forest with torching flames; 4) forest without torching flames; 5) grass or non-vegetation. 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... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: fire, fire type, future climate, gis, rio grande, All tags... wildfire, Fewer tags Burn Probability predicted for 2020 to 2040 for Rio Grande study area Burn probability (BP) raster dataset predicted for the 2020-2040 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 1, predicted for 2080 to 2100 for Rio Grande study area Burn probability (BP) for Fireline Intensity Class 1 (FIL1) with flame lengths in the range of 0-0.6 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 BLM REA CBR 2010 Modeled Future Bioclimate 2050 - Clarks Nutcracker 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 SLV 2013 N Fire 1km Poly Future Potential for Wildfire was summarized from the U.S. Forest Service Wildland Fire Potential (WFP) map to characterize the future spread of wildfire.The attribute wfp_fz is symbolized to represent the future potential for wildfire in one of five categories ranging from very low to very high. About the U.S. Forest Service Wildland Fire Potential (WFP) Map:The wildland fire potential (WFP) map is a raster geospatial product produced by the USDA Forest Service Fire Modeling Institute (http://www.firelab.org/fmi/data-products/229-wildland-fire-potential-wfp) that is intended to be used in analyses of wildfire risk or hazardous fuels prioritization at large landscapes (100s of square miles) up through regional or... Types: Downloadable; Tags: BLM, Bureau of Land Management, Change Agent, DOI, Disturbance, All tags... Fire, Future, Geospatial, REA, Rapid Ecoregional Assessment, SLV 2013, San Luis Valley, Wildfire, environment, Fewer tags BLM REA CBR 2010 Modeled Future Bioclimate 2050 - Ferruginous 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, CBR 2010, Central Basin and Range, DOI, All tags... Geospatial, REA, Rapid Ecoregional Assessment, Wildlife, biota, climate, climatologyMeteorologyAtmosphere, wildfire, Fewer tags BLM REA CBR 2010 Modeled Future Bioclimate 2050 - Mojave Ground Squirrel 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 CBR 2010 Modeled Future Bioclimate 2050 - Golden Eagle 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 - Northern Sagebrush Lizard 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 « 1 2 3 4 5 ... 10 »