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Fire type predicted for 2050 to 2070 for Rio Grande study area Fire type predicted for the 2050-2070 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 for Fireline Intensity Class 6, predicted for 2050 to 2070 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 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 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 GNLCC Refugia Project Sampled Fires Shapefile of a set of fires sampled from the GNLCC Large Fire Database, 1984-2011. This sampled was collected from across the total variability in climate within the Great Northern Landscape Conservation Cooperative (GNLCC) study area. Additional detail about the topography, climate, and burn severity was collected for this identified sample, and used to model fire refugia and low-severity burn probability within the fire perimeters.Each fire has a unique numeric identifier of “PolyID”. Additional attributes are as follows:FIRE_ID: For those fires with an ID, the ID assigned by the reporting agency of the MTBS project.FIRENAME: Names of those fires which are named. This is uncommon in Canada.YEAR: The year the fire... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: Conservation NGOs, Data, Disturbance, EARTH SCIENCE > LAND SURFACE > LANDSCAPE, Federal resource managers, All tags... Fire, GNLCC, History, LCC Network Science Catalog, State agencies, Wildfire, completed, environment, Fewer tags Communities At Risk From Wildland Fire of Idaho Idaho communities at risk from wildfire, as listed in the Federal Register (August 17,2001). Assist land managers in prioritizing areas that would benefit from hazardous fuels reduction and community assistance programs. Listing is intended to focus management on priority areas, but does not determine whether a particular community receives funding. This dataset was used in the "Idaho Interagency Assessment of Wildland Fire Risk to Communities, 2006" to derive Communities At Risk From Wildland Fire of Idaho - Map 6B. It has also been used in other BLM planning efforts such as Resource Management Plans, Fire Management Plans, and NEPA analysis. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Communities at Risk, Community, Fire, Idaho, Idaho State Fire Plan, All tags... WUI, Wild Land Urban Interface, Wildfire, Wildland Fire, Fewer tags BLM REA SLV 2013 C Fire 1km Poly Current fire occurrence was modeled from a logic model to characterize the potential occurrence of wildfire.The attribute Fire_C_Fz is symbolized to represent the current potential occurrence of wildfire in one of five categories ranging from very low to very high. Historic fire occurrence data were obtained from a number of sources including GEOMAC, BLM, and USGS. Types: Downloadable; Tags: BLM, Bureau of Land Management, Change Agent, DOI, Disturbance, All tags... Fire, Geospatial, REA, Rapid Ecoregional Assessment, SLV 2013, San Luis Valley, Wildfire, environment, Fewer tags BLM REA CBR 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, 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 Rattlesnake 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 - 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, CBR 2010, Central Basin and Range, DOI, All tags... Geospatial, REA, Rapid Ecoregional Assessment, Wildlife, biota, climate, climatologyMeteorologyAtmosphere, wildfire, Fewer tags BLM REA NWP 2011 FI C 2006 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 NWP 2011 FI C 2003 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 Greater sage-grouse PPH The FSim burn probability was used to determine the burn probability of greater sage-grouse preliminary priority habitat (PPH) in the ecoregion. This layer was used to examine wildfire risk to greater sage-grouse PPH within the ecoregion. Types: Downloadable; Tags: BLM, Bureau of Land Management, Burn Probability, DOI, Geospatial, All tags... Greater Sage-Grouse, NGB 2011, Northern Great Basin, Northern Great Basin Ecoregion, REA, Rapid Ecoregional Assessment, Wildfire, Wildlife, biota, environment, Fewer tags BLM REA NGB 2011 Fsim Burn Probability in Pygmy Rabbit Habitat The FSim burn probability was used to determine the burn probability of the pygmy rabbit habitat within the ecoregion. This layer was used to examine wildfire risk pygmy rabbit. Types: Downloadable; Tags: BLM, Bureau of Land Management, Burn Probability, DOI, Geospatial, All tags... NGB 2011, Northern Great Basin, Northern Great Basin Ecoregion, Pygmy Rabbit, REA, Rapid Ecoregional Assessment, Wildfire, Wildlife, biota, environment, Fewer tags BLM REA MBR 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, 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 - Columbian Sharp Tailed Grouse 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 - Bald 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, 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 - Brewers Sparrow (Breeding) 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 CBR 2010 Modeled Future Bioclimate 2050 - Desert Tortoise Mojave Population 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 Fire 1120 annual solar radiation grid Solar radiation grids were produced for a set of large fires sampled from within the Great Northern Landscape Conservation Cooperative study area. This solar radiation grid was produced using the Area Solar Radiation tool in ArcGIS 10.1, using inputs of the associated 30m DEM. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Fire, GNLCC, Solar Radiation, Wildfire Burn Probability predicted for 2050 to 2070 for Rio Grande study area Burn probability (BP) raster dataset predicted for the 2050-2070 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 Fire Intensity predicted for 2050 to 2070 for Rio Grande study area Fire Intensity raster dataset predicted for the 2050-2070 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: fire, fire intensity, future climate, gis, rio grande, All tags... wildfire, Fewer tags « 1 ... 3 4 5 6 7 ... 10 »