Filters: Tags: SageDAT-data (X)
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This fire risk assessment was conducted to understand how resilience and resistance and sage-grouse breeding bird habitat may inform wildland fire management decisions including preparedness, suppression, fuels management and post-fire recovery for western sagebrush communities. The assessment is based on the premise that risk = probability of a threat and the consequences of that threat (negative or positive). Fire risk was determined by the probability of a large wildfire and the consequences of fire on greater sage-grouse breeding habitat. These consequences were modified by the capacity of sage-grouse habitat to be resilient and thus recover from fire processes, and be resistant to invasive annual grasses. The...
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CRS,
California,
Colorado,
Fire Risk Assessment,
Greater Sage-Grouse,
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...
More than 23,000 field measurements of cheatgrass cover were acquired from various agencies and research groups across the study area and reviewed for use in the mapping effort. A subset of 6650 field measurements were used to statistically evaluate relationships between cheatgrass and a suite of 50 biophysical and remotely sensed (NDVI) variables. Variables were examined for pairwise correlation and highly correlated variables were discarded from the analysis. Eighteen of the 50 variables were selected to construct a Generalized Linear Model to classify cheatgrass occurrence. A decision rule based on strength of class membership was used to classify the study area as containing either 0-2% or >2% cheatgrass cover....
This dataset represents the consolidated submissions for non-energy minerals and prospecting permit application 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...
This dataset represents the consolidated submissions for geothermal lease and approved project 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 cumu...
This product contains Bureau of Land Management (BLM) conservation efforts completed from 2009 - 2014 for the benefit of the Greater Sage-Grouse (GRSG). The conservation efforts data included in this product are the national plan polygon data only.
This dataset represents the consolidated submissions of GRSG habitat management areas from each individual BLM ARMP & ARMPA/Records of Decision (ROD) and for subsequent updates. These data were submitted to the BLM’s Wildlife Habitat Spatial Analysis Lab ...
File-based data for download:https://www.sciencebase.gov/catalog/item/65564cbad34ee4b6e05c47fc This layer calculated changes between the first and last time steps from the Sagebrush Conservation Design dataset. Calculations were done by adding the first and second time step rasters using the Raster Calculator tool in ArcGIS Pro. The later raster was reclassified with the following values Non-Rangeland Areas = 0, Core Sagebrush Areas = 10, Growth Opportunity Areas = 20, Other Rangeland Areas = 30. This created a raster showing change with the following values. Non-Rangeland to Non-Rangeland = 0Core to Non-Rangeland =1, Growth to Non-Rangeland = 2,Other to Non-Rangeland = 3Non-Rangeland to Core = 10Core to Core =...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Data,
SEI,
SageDAT-data,
Sagebrush Conservation Design,
completed
These data represent multispecies core areas for breeding habitats of greater sage-grouse (Centrocercus urophasianus), Brewer’s sparrow (Spizella breweri), sagebrush sparrow (Artemisiospiza nevadensis), and sage thrasher (Oreoscoptes montanus). Core areas represent the smallest land base necessary to contain the resulting distributions across all species; for example, a 25% core area represents the minimum area containing at least 25% of the distributions for each of the four species. These models were developed using prioritzR (https://prioritizr.net/index.html) using minimum set algorithms and relative targets set equally across each of the four bird layers.
Categories: Data;
Tags: Data,
Data.gov USFWS Science Applications,
Data.gov USFWS Science Applications,
SageDAT-data,
Sagebrush Bird Core Areas,
Introduction: The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. Abstract: The existing vegetation cover (EVC) data layer depicts percent canopy cover by life form, and is an important input to other LANDFIRE mapping efforts. EVC is generated separately for tree, shrub and herbaceous life forms using training data and a series of geospatial predictor layers. Plots from...
A raster dataset of the appropriate management levels of burros 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.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
CRS,
California,
Colorado,
Geospatial,
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: A spatially explicit map of canopy base height supplies information used in fire behavior models such as FARSITE (Finney 1998) to determine the point at which a surface fire will transition to a crown fire....
A raster dataset of the percent of sagebrush-dominated ecological systems within a 5km radius moving window. This dataset was made by reclassifying the Sagebrush Cover raster into values of only sagebrush-dominated ecological systems, and then running a moving window analysis on that raster.
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arizona,
CRS,
California,
Colorado,
Geospatial,
A raster dataset representing road density within the Western United States. This dataset was made combining the BLM GRSG Westwide Habitat Disturbance Threats of Surface Streets, Major Roads, and Highways. The density metric of the raster is kilometers of roads per square kilometer within a 5km radius multiplied by 10000. The purpose is to represent road density within the Western United States. It was created to be incorporated into a larger landscape scale geospatial data modeling effort, the Conservation and Restoration Strategy.
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arizona,
CRS,
California,
Colorado,
Geospatial,
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 Fuel Characteristic Classification System (FCCS) defines a fuelbed as the inherent physical characteristics of fuel that contribute to fire behavior and...
Types: Citation;
Tags: Fuel Characterization Classification System,
GIS,
LANDFIRE,
LF_1.1.0,
Raster digital data,
The dataset provides an estimate of 2017 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The pixel values range from 0 to100 with an overall mean value of 7.1 and a standard deviation of +/-10.5. The model's test mean error rate (n = 1670), based on nine different randomizations, equals 4.9% with a standard deviation of +/- 0.15. This dataset was generated by integrating ground-truth measurements of annual herbaceous percent cover with 250-m spatial resolution eMODIS NDVI satellite derived data and geophysical variables into regression-tree software. The geographic coverage includes the Great Basin, the Snake River Plain, the state of Wyoming, and contiguous areas. We applied...
Geotiff raster of habitat suitability for the invasive annual grass Bromus tectorum (cheatgrass) across the Mojave Desert (NatureServe ecoregional boundary). Raster resolution = 30 m, projection = UTM Zone 11N
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Biological invasions,
Bromus rubens,
Bromus tectorum,
Co-occurrence,
Erodium cicutarium,
Received from BLM NLCS data steward, Ilana R. Cohen on 6/14/12. All of the National Monuments managed by the Bureau of Land Management (BLM). These units are part of the National Landscape Conservation System (NLCS). - Intersected with PAD-US (\GRSG\CEA\...
These data represent core areas developed from models predictive of relative abundance for sagebrush obligate species. Cores represent the minimum area necessary to encompass the concomitant proportion of the species total abundance; for example, a 25% core represents minimum area necessary to encompass 25% of the total predicted relative abundance for a species. Spatial models were developed using stop-level Breeding Bird Survey count data (BBS) and spatially-referenced covariates including landcover, climate, topographic, and fire variables measured at scales from 120m to 6.4km. All models were fit using random forests.
Categories: Data;
Tags: Data,
Data.gov USFWS Science Applications,
SageDAT-data,
Sagebrush Sparrow Core Areas,
completed
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