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The dataset represents the work of multiple states and Federal agencies as part of the US Gap Analysis and LandFire programs. Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. The minimum mapping unit for this dataset is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept. Five-hundred and fourty-four land cover classes composed of 12 cultural and 532 Natural/Semi-natural types are described. Land cover classes were mapped with a variety of techniques including decision tree classifiers, terrian modeling, inductive...
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There are a number of oil and gas basins that lay within the CYR study region. Selawik oil and gas basin is considered an eastern extension of the Kotzebue oil and gas basin. However, much of the Selawik basin is located in the Selawik National Wildlife Refuge making development unlikely. Exploration in the Selawik Basin has been minimal with no wells drilled. The Colville Basin runs along the northwestern edge of the CYR study area but exploration within this area is minimal. Wells and exploration in this basin are outside the CYR study area. Doyon has drilled Nunivak #1 and #2 exploratory wells between 2009 and 2013 in the Nenana Basin and acquired 2-D seismic, gravity, magnetics, and lakebed geochemical surveys...
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Ecoregions 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 federal agencies, state agencies, and nongovernment organizations that are responsible for different types of resources within the same geographical areas. The approach used to compile this map is based on the premise that ecological regions can be identified through the analysis of patterns of biotic and abiotic phenomena, including...
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The dataset represents the work of multiple states and Federal agencies as part of the US Gap Analysis and LandFire programs. Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. The minimum mapping unit for this dataset is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept. Five-hundred and fourty-four land cover classes composed of 12 cultural and 532 Natural/Semi-natural types are described. Land cover classes were mapped with a variety of techniques including decision tree classifiers, terrian modeling, inductive...
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The dataset represents the work of multiple states and Federal agencies as part of the US Gap Analysis and LandFire programs. Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. The minimum mapping unit for this dataset is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept. Five-hundred and fourty-four land cover classes composed of 12 cultural and 532 Natural/Semi-natural types are described. Land cover classes were mapped with a variety of techniques including decision tree classifiers, terrian modeling, inductive...
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This raster is used to answer management questions (MQs) about where conservation elements (CEs) overlap with areas of high wind energy potential in the Mojave Basin and Range Ecoregion. The value indicated in the raster represents a normalized score between 0-1, the lower the value the few species and poorer modeled landscape condition (ecological integrity) expected. The higher the score, the more species and higher condition are expected. This layer seeks to address an article in the BLM Statement of Work 1.1.1 stated, Areas with High Potential for Renewable Energy Development (Required) (The Contractor shall a) locate areas identified (e.g., by DOE, USGS) as suitable for wind, solar, geothermal, and biomass...
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This data is a model of potential habitat connectivity for the Mojave desert tortoise (Gopherus agassizii) for the Mojave Basin and Range ecoregion. Methods for developing this data set: The connectivity modeling software Circuitscape 3.5.7 was used to develop the desert tortoise model. The two inputs needed to model tortoise habitat connectivity with this software were developed in ArcGIS 10. Habitat Input: The USGS model for desert tortoise habitat potential was used to create a series of 167 points representing tortoise habitat throughout the Mojave Basin and Range ecoregion. Areas with high habitat potential (0.7 or higher) were selected and converted to polygons. Polygons smaller than 4,000 acres were removed....
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This simple assessment raster is used to answer management questions (MQs) about where change agents (CAs) overlap with BLM Herd Management Areas (HMAs) in the Central Great Basin and Range Ecoregion. This is a basic footprint assessment of anthropogenic features (urban development, roads, etc) intersect with areas managed for wild horses and burros in the western US. It does not model actual response or condition of the HMAs to the CAs. The data intersects two primary classes of information: The CAs consist of 19 classes which represent different types of human infrastructure on the landscape. Some types are easily defined, precise footprints (pipelines, roads, energy development areas) while others are broader...
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This simple assessment raster is used to answer management questions (MQs) about where change agents (CAs) overlap with BLM high biodiversity sites (HBS) in the Central Great Basin and Range Ecoregion. This is a basic footprint assessment of anthropogenic features (urban development, roads, etc) intersect with the areas of HBS. The HBS were derived from source data characterizing locations with concentrated at-risk biodiversity or existing source data of a prioritization exercise that identified areas of high conservation significance. It does not model actual response or condition of the HBS to the CAs. The data intersects two primary classes of information: The CAs consist of 19 classes which represent different...
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This dataset represents the location and class density of potential annual grass risk within the Central Great Basin and Mojave Basin Ecoregion for the 2010 time period. This model represent a composite of multiple inductive (Maximum Entropy) models of varying annual grass cover using non-spectral landscape variables. Input Variables: elevation, aspect, distance to fire, geology, distance to hydric soils, distance to intermitant streams, landform, ombrotype, distance to perrenial streams, soil pH, density of primary roads, density of secondary/local roads, percent sandy soil, slope, thermotype. Classification of Model 0-No/Low Risk 1- < 5% Cover Risk 2- 5%-15% Cover Risk 3 - 15%-25% Cover Risk 4 - 25%-45% Cover...
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Both tabular and spatial models were used to predict fire regime departure at the sub-watershed scale (i.e., HUC 10 units). Integrating the fire regime models with predicted changes in climate envelopes provides a clearer understanding of how these ecological systems are likely to respond to multiple stresses. The natural range of variability for each CE was initially derived from LANDFIRE Vegetation Dynamics Development Tool (VDDT) models. The VDDT allows for the development of probabilistic quantitative model of CEs consisting of multiple ecological states with both deterministic and probabilistic drivers. For any defined suite of drivers, the models predict the relative abundance of each state within a defined...
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Both tabular and spatial models were used to predict fire regime departure at the sub-watershed scale (i.e., HUC 10 units). Integrating the fire regime models with predicted changes in climate envelopes provides a clearer understanding of how these ecological systems are likely to respond to multiple stresses. The natural range of variability for each CE was initially derived from LANDFIRE Vegetation Dynamics Development Tool (VDDT) models. The VDDT allows for the development of probabilistic quantitative model of CEs consisting of multiple ecological states with both deterministic and probabilistic drivers. For any defined suite of drivers, the models predict the relative abundance of each state within a defined...
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This dataset was derived from 'NatureServe L48 ESLF V2.7'. See process steps for additional information. The dataset represents the work of multiple states and Federal agencies as part of the US Gap Analysis and LandFire programs. Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. The minimum mapping unit for this dataset is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept. Five-hundred and fourty-four land cover classes composed of 12 cultural and 532 Natural/Semi-natural types are described. Land cover classes...
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The dataset represents the work of multiple states and Federal agencies as part of the US Gap Analysis and LandFire programs. Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. The minimum mapping unit for this dataset is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept. Five-hundred and fourty-four land cover classes composed of 12 cultural and 532 Natural/Semi-natural types are described. Land cover classes were mapped with a variety of techniques including decision tree classifiers, terrian modeling, inductive...
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Both tabular and spatial models were used to predict fire regime departure at the sub-watershed scale (i.e., HUC 10 units). Integrating the fire regime models with predicted changes in climate envelopes provides a clearer understanding of how these ecological systems are likely to respond to multiple stresses. The natural range of variability for each CE was initially derived from LANDFIRE Vegetation Dynamics Development Tool (VDDT) models. The VDDT allows for the development of probabilistic quantitative model of CEs consisting of multiple ecological states with both deterministic and probabilistic drivers. For any defined suite of drivers, the models predict the relative abundance of each state within a defined...
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This dataset was derived from 'NatureServe L48 ESLF V2.7'. See process steps for additional information. The dataset represents the work of multiple states and Federal agencies as part of the US Gap Analysis and LandFire programs. Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. The minimum mapping unit for this dataset is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept. Five-hundred and fourty-four land cover classes composed of 12 cultural and 532 Natural/Semi-natural types are described. Land cover classes...
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Both tabular and spatial models were used to predict fire regime departure at the sub-watershed scale (i.e., HUC 10 units). Integrating the fire regime models with predicted changes in climate envelopes provides a clearer understanding of how these ecological systems are likely to respond to multiple stresses. The natural range of variability for each CE was initially derived from LANDFIRE Vegetation Dynamics Development Tool (VDDT) models. The VDDT allows for the development of probabilistic quantitative model of CEs consisting of multiple ecological states with both deterministic and probabilistic drivers. For any defined suite of drivers, the models predict the relative abundance of each state within a defined...
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This model provides one view of ecological integrity for the ecoregion, based on a model of near-future landscape condition, which has been summed into the 4x4km grid cells. Anthropogenic stressors come in many forms, from regional patterns of acid deposition or climate-induced ecosystem change, to local-scale patterns in agricultural drainage ditches and tiles, point-source pollution, land-conversion, and transportation corridors, among others. To be effective, a landscape condition model needs to incorporate multiple stressors, their varying individual intensities, the combined and cumulative effect of those stressors, and if possible, some measure of distance away from each stressor where negative effects remain...
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Both tabular and spatial models were used to predict fire regime departure at the sub-watershed scale (i.e., HUC 10 units). Integrating the fire regime models with predicted changes in climate envelopes provides a clearer understanding of how these ecological systems are likely to respond to multiple stresses. The natural range of variability for each CE was initially derived from LANDFIRE Vegetation Dynamics Development Tool (VDDT) models. The VDDT allows for the development of probabilistic quantitative model of CEs consisting of multiple ecological states with both deterministic and probabilistic drivers. For any defined suite of drivers, the models predict the relative abundance of each state within a defined...
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Wildfire and fuel treatment locations for the USFWS Pacific Southwest Region (California, Nevada, Klamath Basin OR) extracted from the Fire Management Information System (FMIS) on October 23, 2015, for fiscal years 1980-2015.


map background search result map search result map Region 8 FMIS Wildfire and Fuel Treatment Locations 1980-2015 BLM REA COP 2010 NatureServe National Landcover (v27) ColoradoPlateauMixedBedrockCanyonTableland_NatureServe_DIST_30m BLM REA COP 2010 NatureServe National Landcover (v27) InterMountainBasinsBigSagebrushShrubland_NatureServe_DIST_30m BLM REA CYR 2013 Oil and Gas Basins in the Central Yukon BLM REA SOD 2010 USA EPA LevelIV Ecoregions Poly BLM REA MAR 2012 NatureServe Terrestrial Ecosystems v2.9  - MAR BLM REA MBR 2010 CBR Footprint Assessment Change Agent/High Biodiversity Sites Intersect BLM REA MBR 2010 Footprint Assessment Change Agent/Herd Management Areas Intersect BLM REA MBR 2010 Assessment Landscape Species and Wind Renewable Energy Potential Suitability BLM REA MBR 2010 REVISED MBR Mohave Desert Tortoise Habitat Connectivity Model BLM REA MBR 2010 Risk Model of Invasive Annual Grasses BLM REA MBR 2010 Ecological System Fire Regime Departure 2060 - Great Basin Pinyon-Juniper Woodland BLM REA CBR 2010 Ecological System Fire Regime Departure - 2025 Inter-Mountain Basins Curl-leaf Mountain Mahogany Woodland and Shrubland BLM REA CBR 2010 NatureServe GBSemiDesertChaparral Terrestrial Ecological Systems BLM REA CBR 2010 l48 eslf v2 7 Upland BLM REA CBR 2010 Ecological System Fire Regime Departure - 2025 Inter-Mountain Basins Big Sagebrush Shrubland BLM REA CBR 2010 Ecological System Fire Regime Departure - 2025 Inter-Mountain Basins Mixed Salt Desert Scrub BLM REA CBR 2010 Near-Future Landscape Condition by 4km grid cell - CBR & MBR BLM REA CBR 2010 Ecological System Fire Regime Departure - 2025 Great Basin Pinyon-Juniper Woodland BLM REA CBR 2010 NatureServe COPMixedLowSagbrushShrublnd Terrestrial Ecological Systems BLM REA MBR 2010 Footprint Assessment Change Agent/Herd Management Areas Intersect BLM REA MAR 2012 NatureServe Terrestrial Ecosystems v2.9  - MAR BLM REA MBR 2010 Assessment Landscape Species and Wind Renewable Energy Potential Suitability BLM REA MBR 2010 CBR Footprint Assessment Change Agent/High Biodiversity Sites Intersect BLM REA MBR 2010 REVISED MBR Mohave Desert Tortoise Habitat Connectivity Model BLM REA MBR 2010 Risk Model of Invasive Annual Grasses BLM REA COP 2010 NatureServe National Landcover (v27) ColoradoPlateauMixedBedrockCanyonTableland_NatureServe_DIST_30m BLM REA COP 2010 NatureServe National Landcover (v27) InterMountainBasinsBigSagebrushShrubland_NatureServe_DIST_30m BLM REA CBR 2010 Ecological System Fire Regime Departure - 2025 Inter-Mountain Basins Curl-leaf Mountain Mahogany Woodland and Shrubland BLM REA CBR 2010 Ecological System Fire Regime Departure - 2025 Inter-Mountain Basins Mixed Salt Desert Scrub BLM REA MBR 2010 Ecological System Fire Regime Departure 2060 - Great Basin Pinyon-Juniper Woodland BLM REA CBR 2010 Ecological System Fire Regime Departure - 2025 Great Basin Pinyon-Juniper Woodland BLM REA CBR 2010 Ecological System Fire Regime Departure - 2025 Inter-Mountain Basins Big Sagebrush Shrubland BLM REA CBR 2010 NatureServe GBSemiDesertChaparral Terrestrial Ecological Systems BLM REA CBR 2010 NatureServe COPMixedLowSagbrushShrublnd Terrestrial Ecological Systems BLM REA CBR 2010 Near-Future Landscape Condition by 4km grid cell - CBR & MBR BLM REA CBR 2010 l48 eslf v2 7 Upland BLM REA CYR 2013 Oil and Gas Basins in the Central Yukon Region 8 FMIS Wildfire and Fuel Treatment Locations 1980-2015 BLM REA SOD 2010 USA EPA LevelIV Ecoregions Poly