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This file is a feature class representing UCS_UT_COP_AI_RU_HUC6_EA_Poly_Densities
The potential effect of development on patch size was used as an index of fragmentation. Patch size was quantified for baseline conditions for Greater Sage Grouse. This provides a reference for comparing patch size for relatively undeveloped patches (Terrestrial Development Index scores less than or equal to 1 percent).
We analyzed 12 indicators of ecological integrity and 2 Key Ecological Attributes (KEA) to assess the current status of the Aquatic Course Filter Conservation Elements. The indicators used were: 1) Riparian Corridor Fragmentation, 2) Landscape Condition Model Index, 3) Perennial Flow Network Fragmentation by Dams, 4) Surface Water Use/Discharge Ratio, 5) Ground Water Use/Discharge Ratio, 6a) Perennial Flow Modification by Diversion Structures, 6b) Flow Modification by Dams, 7) Condition of Groundwater Recharge Zone, 8a) Atmospheric Deposition-Nitrate Loading , 8b) Atmospheric Deposition--Toxic Mercury Loading, 9) State-Listed Water Quality Impairments, 10) Sediment Loading Index, 11) Presence of Invasive Plant Species,...
We analyzed 12 indicators of ecological integrity and 2 Key Ecological Attributes (KEA) to assess the current status of the Aquatic Course Filter Conservation Elements. The indicators used were: 1) Riparian Corridor Fragmentation, 2) Landscape Condition Model Index, 3) Perennial Flow Network Fragmentation by Dams, 4) Surface Water Use/Discharge Ratio, 5) Ground Water Use/Discharge Ratio, 6a) Perennial Flow Modification by Diversion Structures, 6b) Flow Modification by Dams, 7) Condition of Groundwater Recharge Zone, 8a) Atmospheric Deposition-Nitrate Loading , 8b) Atmospheric Deposition--Toxic Mercury Loading, 9) State-Listed Water Quality Impairments, 10) Sediment Loading Index, 11) Presence of Invasive Plant Species,...
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - Assessing the impact of oil and gas development on vegetation and hydrology on the North Slope study area involves identifying the accumulation of effects and assessing the relative magnitude of each. Impacts on vegetation include the direct effects associated with the construction of pipelines, roads, gravel pads, and seismic...
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - Growing season length and change in growing season length were extracted to the distribution of foothills tussock tundra. Near-term (2020s) increases in July temperature are not expected to be significant; however significant increases are projected across 72% of the of foothills tussock tundra distribution in the long term...
For complete information about the USGS Nonindigenous Aquatic Species (NAS) dataset please see: http://nas.er.usgs.gov/about/database_faq.aspx
This layer represents the near-future scorecard of one indicator of ecosytem integrity. This ecosystem assessment is for projected 2025 landscape condtion (LCM). 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 provides a scorecard for reporting on the ecological status of a given CE within a given location, and if needed, facilitates the aggregation and synthesis of the component results for broader measures of ecological integrity at broader scales. Please see "cmbrCE and indicators.xlsx" for a complete list of which measures were applied to individual CEs for current...
This layer represents the near-future scorecard of one indicator of ecosytem integrity. This ecosystem assessment is for projected 2025 landscape condtion (LCM). 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 provides a scorecard for reporting on the ecological status of a given CE within a given location, and if needed, facilitates the aggregation and synthesis of the component results for broader measures of ecological integrity at broader scales. Please see "cmbrCE and indicators.xlsx" for a complete list of which measures were applied to individual CEs for current...
We analyzed 12 indicators of ecological integrity and 2 Key Ecological Attributes (KEA) to assess the current status of the Aquatic Course Filter Conservation Elements. The indicators used were: 1) Riparian Corridor Fragmentation, 2) Landscape Condition Model Index, 3) Perennial Flow Network Fragmentation by Dams, 4) Surface Water Use/Discharge Ratio, 5) Ground Water Use/Discharge Ratio, 6a) Perennial Flow Modification by Diversion Structures, 6b) Flow Modification by Dams, 7) Condition of Groundwater Recharge Zone, 8a) Atmospheric Deposition-Nitrate Loading , 8b) Atmospheric Deposition--Toxic Mercury Loading, 9) State-Listed Water Quality Impairments, 10) Sediment Loading Index, 11) Presence of Invasive Plant Species,...
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...
We analyzed 12 indicators of ecological integrity and 2 Key Ecological Attributes (KEA) to assess the current status of the Aquatic Course Filter Conservation Elements. The indicators used were: 1) Riparian Corridor Fragmentation, 2) Landscape Condition Model Index, 3) Perennial Flow Network Fragmentation by Dams, 4) Surface Water Use/Discharge Ratio, 5) Ground Water Use/Discharge Ratio, 6a) Perennial Flow Modification by Diversion Structures, 6b) Flow Modification by Dams, 7) Condition of Groundwater Recharge Zone, 8a) Atmospheric Deposition-Nitrate Loading , 8b) Atmospheric Deposition--Toxic Mercury Loading, 9) State-Listed Water Quality Impairments, 10) Sediment Loading Index, 11) Presence of Invasive Plant Species,...
We analyzed 12 indicators of ecological integrity and 2 Key Ecological Attributes (KEA) to assess the current status of the Aquatic Course Filter Conservation Elements. The indicators used were: 1) Riparian Corridor Fragmentation, 2) Landscape Condition Model Index, 3) Perennial Flow Network Fragmentation by Dams, 4) Surface Water Use/Discharge Ratio, 5) Ground Water Use/Discharge Ratio, 6a) Perennial Flow Modification by Diversion Structures, 6b) Flow Modification by Dams, 7) Condition of Groundwater Recharge Zone, 8a) Atmospheric Deposition-Nitrate Loading , 8b) Atmospheric Deposition--Toxic Mercury Loading, 9) State-Listed Water Quality Impairments, 10) Sediment Loading Index, 11) Presence of Invasive Plant Species,...
This dataset is a raster of predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average) , and then projecting that niche into the future. The future timeslices used are 2020's, which is an average of 2020-2029, and 2050's which is 2050-2059. The Values 1-6 show the degree of model agreement (For example: areas with a value of 1 is where only 1 GCM predicted suitability; pixels with a value of 6 are where 6 GCMs predicted suitability, ect). *see Maxent output pdfs for more details about model inputs and settings.
This dataset represents the probability of occurrence for the azonal carbonate rock crevices species assemblage within the Central Great Basin and Mohave Basin Ecoregion. This model represents the composite of multiple cross-validated inductive (Maximum Entropy) models of species distributions using non-spectral landscape variables. Input Variables: NatureServe's Ecological systems map, soil pH, distance to calcium carbonate soils, elevation, slope, geology, distance to hydric soils, distance to perennial streams, distance to intermittent streams, average rock fragments in soil, aspect, and available water holding capacity. Classification Model: 1 - High Habitat Potential NoData - Very Low Habitat Potential or "Non-Habitat"
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - The fine-scale invasion vulnerability model, combining higher probability sites for non-native plant importation and establishment, suggests that the region currently and into the near term is likely to have a non-native plant species restricted to a very small area. By 2060 however, all villages and the human footprint associated...
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - Assessing the impact of oil and gas development on vegetation and hydrology on the North Slope study area involves identifying the accumulation of effects and assessing the relative magnitude of each. Impacts on vegetation include the direct effects associated with the construction of pipelines, roads, gravel pads, and seismic...
Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - Growing season length and change in growing season length were extracted to the distribution of sand sheet moist tundra and wetland. Increases in July temperature both in the near and long term are not expected to be significant across most of the coastal plain ecoregion, including the arctic sandy lowland region. By the 2060s...
This layer represents the near-future scorecard of one indicator of ecosytem integrity. This ecosystem assessment is for projected 2025 landscape condtion (LCM). 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 provides a scorecard for reporting on the ecological status of a given CE within a given location, and if needed, facilitates the aggregation and synthesis of the component results for broader measures of ecological integrity at broader scales. Please see "cmbrCE and indicators.xlsx" for a complete list of which measures were applied to individual CEs for current...
Fifth-level watersheds (HUC10) with high or very high conservation potential for at least one aquatic species evaluated as a Conservation Element by land ownership and protection from PADUS.
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