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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 Northern Leopard Frog: 2030 Habitat Suitability Consensus of All Models Northern leopard frog 2030 suitable habitat, consensus of all 3 climate models. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Rana pipiens, climate change, fire, gis, habitat suitablility, All tags... northern leopard frog, vulnerability, 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 USFWS, Pacific Southwest Region (R8), Fire Management Zones The purpose of this dataset is to display the physical boundaries of Fire Management Zones within the U.S. Fish & Wildlife Service, Pacific Southwest Region. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Citation, Downloadable, Map Service; Tags: California, Nevada, Oregon, Wildlife Refuge, boundaries, All tags... fire, management, usfws, 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 Freshwater Non-Forested Wetlands - Fire Regime These data show the fire history indicator for Freshwater Non-Forested Wetlands (FNFW) through 2018. Fire Regime is an ecological indicator for the Landscape Conservation Project (LCP) for Florida. The LCP entails a large-scale assessment of and planning for the health of important natural resources, known as Conservation Assets (CAs), in Florida. Conservation planning at the landscape scale provides a framework for safeguarding functional ecosystems, and their interconnected processes required for maintaining healthy resources. Spatially explicit data from the project informs coordination and prioritization for making conservation decisions. Additionally, a suite of ecological indicators was carefully selected... Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Fire, Fire Regime, Florida, Freshwater Non-forested Wetlands, Indicator, All tags... Landscape Conservation, Fewer tags Long-legged Bat: Current Habitat Suitability Consensus of All Models Long-legged bat current suitable habitat, consensus of all 3 climate models. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: climate change, fire, gis, habitat suitablility, long-legged bat, All tags... myotis volans, vulnerability, Fewer tags Occult Bat: Current Habitat Suitability Consensus of All Models Occult bat current suitable habitat, consensus of all 3 climate models. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: climate change, fire, gis, habitat suitablility, occult bat, All tags... vulnerability, Fewer tags Yuma Bat: 2090 Habitat Suitability Consensus of All Models Yuma bat 2090 suitable habitat, consensus of all 3 climate models. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: climate change, fire, gis, habitat suitablility, myotis yumanesis, All tags... vulnerability, yuma bat, 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 Western Painted Turtle: Current Habitat Suitability Consensus of All Models Current habitat suitability for western painted turtle based on the consensus of all 3 models. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Chrysemys picta belli, climate change, fire, gis, habitat suitablility, All tags... vulnerability, western painted turtle, Fewer tags Northern Leopard Frog: Current Habitat Suitability Consensus of All Models Northern leopard frog current suitable habitat, consensus of all 3 climate models. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Rana pipiens, climate change, fire, gis, habitat suitablility, All tags... northern leopard frog, vulnerability, Fewer tags American Bullfrog: 2090 Habitat Suitability Consensus of All Models American bullfrog 2090 suitable habitat, consensus of all 3 climate models. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: american bullfrog, climate change, fire, gis, habitat suitablility, All tags... rana catesbeiana, vulnerability, Fewer tags American Bullfrog: 2030 Habitat Suitability Consensus of All Models American bullfrog 2030 suitable habitat, consensus of all 3 climate models. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: american bullfrog, climate change, fire, gis, habitat suitablility, All tags... rana catesbeiana, vulnerability, 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 Western Painted Turtle: 2030 Habitat Suitability Consensus of All Models Western painted turtle current suitable habitat, consensus of all 3 climate models. Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Chrysemys picta belli, climate change, fire, gis, habitat suitablility, All tags... vulnerability, western painted turtle, 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 1 2 3 4 5 »