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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 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 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 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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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 layer represents areas that have been designated by the states of California and Nevada and the Arizona BLM as priority zones for development for renewable energy int the Mojave Basin and Range Ecoregion. These layers were assembled from three sources: Nevada Renewable Energy and Proposed Interconnections Map. Gov. Jim Gibbons Nevada Renewable Energy and Transmission Access Advisory Committee, Phase II Report. June 26, 2009; California Renewable Energy Transmission Initiative (RETI). Phase 2B Maps (CREZ and Transmission Line Sebments Revised to Reflect Phase 2B). April 8, 2010; AZ REDA Alternative 1 (Maximum REDA, Areas identified during the RDEP alternatives development process). Arizona BLM State Office....
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Scorecard analysis for the terrestrial conservation element Greater Sage Grouse and current landscape permiability using circuitscape. The analysis is based upon location data using the lek locations (CBR_TS_C_175855_GSG_BreedingDensity100_poly). The cost surface is derived from the landscape condition score of current condition (CBR_DV_N_NATURESERVE_LANDSCAPECON_2010.img). This layer represents the maximum current value which has been reclassed all values that are > 1 = 1 and converted a 0-100 scale for analysis within a GIS. NatureServe’s ecological integrity framework provides a practical approach to organize criteria and indicators for this purpose (Faber-Langendoen et al. 2006, Unnasch et al. 2008). This framework...
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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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This simple assessment raster is used to answer management questions (MQs) about where change agents (CAs) overlap with BLM grazing allotments (GAs) in the Central Great Basin and Range Ecoregion. This is a basic footprint assessment of anthropogenic features (urban development, roads, etc) represented in the near-future (circa 2025)development scenario intersect with the areas of public land that are leased to private entities for grazing by livestock. It does not model actual response or condition of the GAs to the CAs. The data intersects two primary classes of information: The CAs consist of 20 classes which represent different types of human infrastructure on the landscape. Some types are easily defined, precise...
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MBR Assessment Desert Tortoise Habitat Connectivity Model - normalized and converted to a 0-100 scale. 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...
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This simple assessment raster is used to answer management questions (MQs) about where change agents (CAs) overlap with sensitive soils (SS) 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 that were modeled by NatureServe to represent nine types of sensitive soils. It does not model actual response or condition of the SS 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...
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This assessment raster is used to answer management questions (MQs) about where the Sage Grouse conservation element (CE) overlap with change agents (CAs). This is a basic footprint assessment of anthropogenic features (urban development, roads, etc) and invasive annual grasses intersecting with Sage Grouse habitat. It does not model actual response of the CEs to the CAs; those more complex issues are addressed in different MQs and through different models. Areas for restoration/enhancement were indentified base upon the 3 quartile values (50>LC2025<=75, .5>AG<=.75). Areas of the CE distribution that are not overlapped by the 2025 development scenario (which includes current and 2025 devt), and that are not overlapped...
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This raster is used to answer the management question (MQ) regarding areas of low potential for renewable energy development (solar, wind, geothermal) that could potentially mitigate impacts to CEs from potential energy development in the Central Basin and Range Ecoregion. The value indicated in the raster represents a score between 0-100, the lower values indicating areas of poor landscape condition (ecological integrity). The higher the score, better landscape conditions are expected. Areas in the middle of the spectrum likely offer areas that present opportunities for mitigation under the logic that these areas are likely to be mildly impacted by change agents and therefore present opportunities for mitigation/restoration....
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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) represented in the near-future scenario (circa 2030) intersect with 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...
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This assessment raster is used to answer management questions (MQs) about where conservation elements (CEs) overlap with change agents (CAs) in the near future scenario (circa 2025). This is a basic footprint assessment of anthropogenic features (urban development, roads, etc) intersect with natural resources (CEs). It does not model actual response of the CEs to the CAs; those more complex issues are addressed in different MQs and through different models. 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...
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This model provides one view of ecological integrity for the ecoregion, based on a model of 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 likely....
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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 Central 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 assessment raster is used to answer management questions (MQs) about where conservation elements (CEs) overlap with change agents (CAs). This is a basic footprint assessment of anthropogenic features (urban development, roads, etc) intersect with natural resources (CEs). It does not model actual response of the CEs to the CAs; those more complex issues are addressed in different MQs and through different models. 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 land cover types derived...


map background search result map search result map Riparian Impact Combined, RCP 4.5 Terrestrial Impact Combined, RCP 4.5 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 Current Landscape Condition by 4km grid cell - MBR BLM REA MBR 2010 Assessment Landscape Species and Wind Renewable Energy Potential Suitability BLM REA MBR 2010 2010.ILMREADBO.MBR TS C 173856 DESERT TORTOISE ConnectivityNormalized poly BLM REA MBR 2010 REVISED MBR Mohave Desert Tortoise Habitat Connectivity Model BLM REA MBR 2010 Near-Future Landscape Condition by 4km grid cell - CBR & MBR BLM REA MBR 2010 Priority Renewable Energy Zones BLM REA MBR 2010 CBR Footprint Assessment Change Agent/Sensitive Soils Intersect BLM REA CBR 2010 Greater Sage Grouse - Opportunities for habitat restoration/enhancement BLM REA CBR 2010 Areas with Low Renewable Energy Potential and Opportunities for Mitigation BLM REA CBR 2010 Near-Future Scenario Footprint Assessment Change Agent/High Biodiversity Sites Intersect BLM REA CBR 2010 Assessment Landscape Species and Wind Renewable Energy Potential Suitability BLM REA CBR 2010 Near-Future Scenario Footprint Assessment Change Agent/Grazing Allotments Intersect BLM REA CBR 2010 Greater Sage Grouse - Maximum connectivity value of sage grouse leks (reclassified) BLM REA CBR 2010 Near-Future Landscape Condition by 4km grid cell - CBR & MBR BLM REA CBR 2010 Central Basin & Range Near Future Footprint Assessment Change Agent/Conservation Element Intersect BLM REA CBR 2010 Central Basin & Range Footprint Assessment Change Agent/Conservation Element Intersect BLM REA MBR 2010 Footprint Assessment Change Agent/Herd Management Areas Intersect BLM REA MBR 2010 2010.ILMREADBO.MBR TS C 173856 DESERT TORTOISE ConnectivityNormalized poly BLM REA MBR 2010 Priority Renewable Energy Zones BLM REA MBR 2010 Current Landscape Condition by 4km grid cell - MBR BLM REA CBR 2010 Greater Sage Grouse - Opportunities for habitat restoration/enhancement 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 CBR Footprint Assessment Change Agent/Sensitive Soils Intersect BLM REA MBR 2010 REVISED MBR Mohave Desert Tortoise Habitat Connectivity Model BLM REA CBR 2010 Near-Future Scenario Footprint Assessment Change Agent/Grazing Allotments Intersect BLM REA CBR 2010 Assessment Landscape Species and Wind Renewable Energy Potential Suitability BLM REA CBR 2010 Near-Future Scenario Footprint Assessment Change Agent/High Biodiversity Sites Intersect BLM REA CBR 2010 Central Basin & Range Near Future Footprint Assessment Change Agent/Conservation Element Intersect BLM REA CBR 2010 Central Basin & Range Footprint Assessment Change Agent/Conservation Element Intersect BLM REA CBR 2010 Greater Sage Grouse - Maximum connectivity value of sage grouse leks (reclassified) BLM REA MBR 2010 Near-Future Landscape Condition by 4km grid cell - CBR & MBR BLM REA CBR 2010 Near-Future Landscape Condition by 4km grid cell - CBR & MBR BLM REA CBR 2010 Areas with Low Renewable Energy Potential and Opportunities for Mitigation Riparian Impact Combined, RCP 4.5 Terrestrial Impact Combined, RCP 4.5