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Average Winter (Jan-Mar) Temperature (2045-2060) simulated by RegCM3 with GENMOM projections as boundary conditions. Units are degrees Celsius. These data were generated by the regional climate model RegCM3 with boundary conditions from a GCM future climate projections. The data were downscaled statistically by calculating differences (anomalies) between the RegCM3 results with GCM-driven boundary conditions for 1968-99 and those for a future period, in this case 2015-2030. The anomalies were added (temperatures) or multiplied (precipitation) to a climate baseline from PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) data based on historical observations. The PRISM baseline...
Description: This product is a continuous surface of herbaceous (annual and perennial, forbs and grasses) percent cover. Species: All herbaceous species Spatial extent: Great Basin and Southwest United States; all or part of 14 states. Spatial resolution: 30-m pixels Recentness: 2020; Model is updated three times a year (spring, summer, and fall). Author-suggested use: The need to address seasonal variations of fine fuels (herbaceous and shrubs) in the Great Basin Southwest U.S. was made apparent by fire and fuels specialists at LANDFIRE “After Action Reviews” and various other meetings. The notion that increases in winter and spring precipitation in these areas increases herbaceous production and...
Tags: SageDAT-data
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Sage-grouse habitat areas divided into proposed management categories within Nevada and California project study boundaries. HABITAT CATEGORY DETERMINATION The process for category determination was directed by the Nevada Sagebrush Ecosystem Technical team. Sage-grouse habitat was determined from a statewide resource selection function model and first categorized into 4 classes: high, moderate, low, and non-habitat. The standard deviations (SD) from a normal distribution of RSF values created from a set of validation points (10% of the entire telemetry dataset) were used to categorize habitat ‘quality’ classes. 1) High quality habitat comprised pixels with RSF values < 0.5 SD. 2) Moderate > 0.5 and < 1.0 SD. 3)...
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The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. DATA SUMMARY: Thirteen typical surface fuel arrangements or "collections of fuel properties" (Anderson 1982) were described to serve as input for Rothermel's mathematical surface fire behavior and spread model (Rothermel...
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Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-3 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
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Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-3 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
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This dataset represents the consolidated submissions for mineral material disposal site data from BLM states responding to the WO 300 data call during the time period of November 2011 through May 2012. It is intended solely for use in the GRSG cumulative ...
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A raster dataset of the appropriate management levels of horses in BLM Herd Management Areas (HMAs) and USFS Wild Horse and Burro Territories (WHBT) within Reslience and Resistance classes within the GRSG management zones. This dataset was made by adding the Resilience and Resistance raster to a raster of horse AML levels.
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A raster dataset representing conifer cover within the Western United States. This dataset was made reclassifying the LANDFIRE 1.3 EVT layer into "Conifer-dominated Ecological Systems with Little to No Sagebrush", and "Conifer-dominated Ecological Systems Likely to Expand into Sagebrush".
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Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-2 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
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Accurate and consistent estimates of shrubland ecosystem components are crucial to a better understanding of ecosystems condition in arid and semiarid lands. We developed an innovative approach by integrating multiple information to quantify shrubland components as continuous field products within the National Land Cover Database (NLCD). The approach consists of five major parts: field sample collection, high-resolution mapping of shrubland components using WorldView-3 imagery and regression tree models, Landsat 8 radiometric balancing and phenological mosaicking, coarse resolution estimate of shrubland components across a large geographic extent using Landsat 8 phenological mosaics and regression tree models, and...
Ecological regions denote areas of general similarity in ecosystems and in the type, quality, and quantity of environmental resources. They are designed to serve as a spatial framework for the research, assessment, management, and monitoring of ecosystems and ecosystem components. These general purpose regions are critical for structuring and implementing ecosystem management strategies across international, national, province and state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. A Roman numeral hierarchical scheme has been adopted for different levels for ecological regions. Level I is the coarsest level, dividing North America...
Tags: SageDAT-data
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The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), fuel characterization classification system (FCCS), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects.DATA SUMMARY: The LANDFIRE fuel loading model (FLM) classification system is based on unique sets of fuel characteristics that simplify the input of fuel loadings into fire...
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Broad-scale alterations of historical fire regimes and vegetation dynamics have occurred in many landscapes in the U.S. through the combined influence of land management practices, fire exclusion, ungulate herbivory, insect and disease outbreaks, climate change, and invasion of non-native plant species. The LANDFIRE Project produces maps of historical fire regimes and vegetation conditions using the disturbance dynamics model VDDT. The LANDFIRE Project also produces maps of current vegetation and measurements of current vegetation departure from simulated historical reference conditions. These maps support fire and landscape management planning outlined in the goals of the National Fire Plan, Federal Wildland Fire...
Types: Citation; Tags: SageDAT-data
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Vectorized version of the raster model with the PJ and Conifer interface areas merged across the west. A raster model was developed to identify sagebrush land cover which is in close proximity to conifer land cover, thus suggesting a risk for conifer enc...
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Land Use Plan (LUP) boundaries for the Greater Sage-Grouse (GRSG) National Planning Effort in the Rocky Mountain Region. Modifications were incorporated (see below) based on clarification on the correct boundaries to use from BLM planners. Additionally, ...
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This fencing potential layer is a merged representation of the 27 allotment data files submitted to the BLM by the USFS for the GRSG CEA and the GSSP snapshot of approved BLM grazing data made on 5/24/2012. This aggregate national dataset identifies past...
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This dataset represents the consolidated submissions for oil shale research, development and demonstration lease data from BLM states responding to the WO 300 data call during the time period of November 2011 through May 2012. Additional features were add...
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We mapped eleven years of cheatgrass dieoff in the northern Great Basin. If we estimated that a dieoff occurred in a pixel anytime during that eleven year period, then the pixel was coded as dieoff. If no dieoff occurred, the pixel was coded as a non dieoff. The cheatgrass dieoff probability map was produced by inputting the coded data into a decision-tree model along with topographic data, edaphic data, land cover data, and climate data. A proxy for latitude was included. The resulting model was input into a mapping application that generated a map of cheatgrass dieoff probability.


map background search result map search result map Mapping Cheatgrass Dieoff Probability in the Northern Great Basin using a Decision-tree Model Sage-grouse Habitat Categories in Nevada and NE California (August 2014) LANDFIRE - Fuel Loading Models (LANDFIRE.US_110FLM) LANDFIRE - Percent of Mixed-severity Fire (LANDFIRE.US_130PMS) LANDFIRE - 13 Anderson Fire Behavior Fuel Models (LANDFIRE.US_130FBFM13) Shrub Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Great Basin Western United States Conifer Cover Raster Herbaceous Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Shrub Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Bare Ground Percent  - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Horse AML Levels of BLM HMAs and USFS WHBTs within Resilience and Resistance Classes Raster BLM REA COP 2010 Average Winter (Jan-Mar) Temperature (2045-2060) Simulated by RegCM3 with GENMOM Projections as Boundary Conditions (Western US) BLM GRSG BER: BLM and USFS Pasture and Allotment Fence Potential (line) BLM GRSG BER: Land Use Plan (LUP) Boundaries for GRSG National Planning Effort - Rocky Mountain Region (polygon) BLM GRSG BER: Mineral Material Disposal Sites (polygon) BLM GRSG BER: Oil Shale Research, Development, and Demonstration Leases (polygon) BLM GRSG BER: Sagebrush, Pinyon-Juniper, and Conifer Interface (polygon) BLM GRSG BER: Oil Shale Research, Development, and Demonstration Leases (polygon) LANDFIRE - Fuel Loading Models (LANDFIRE.US_110FLM) LANDFIRE - Percent of Mixed-severity Fire (LANDFIRE.US_130PMS) LANDFIRE - 13 Anderson Fire Behavior Fuel Models (LANDFIRE.US_130FBFM13) BLM REA COP 2010 Average Winter (Jan-Mar) Temperature (2045-2060) Simulated by RegCM3 with GENMOM Projections as Boundary Conditions (Western US) Mapping Cheatgrass Dieoff Probability in the Northern Great Basin using a Decision-tree Model Sage-grouse Habitat Categories in Nevada and NE California (August 2014) BLM GRSG BER: Land Use Plan (LUP) Boundaries for GRSG National Planning Effort - Rocky Mountain Region (polygon) Herbaceous Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Shrub Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Bare Ground Percent  - Provisional Remote Sensing Shrub/Grass NLCD Products for the Montona/Wyoming Study Area Shrub Percent - Provisional Remote Sensing Shrub/Grass NLCD Products for the Great Basin BLM GRSG BER: Mineral Material Disposal Sites (polygon) BLM GRSG BER: BLM and USFS Pasture and Allotment Fence Potential (line) Horse AML Levels of BLM HMAs and USFS WHBTs within Resilience and Resistance Classes Raster Western United States Conifer Cover Raster BLM GRSG BER: Sagebrush, Pinyon-Juniper, and Conifer Interface (polygon)