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This dataset represents the estimated distribution of wild (non-native or hybrid) trout across Utah and the the Colorado Plateau Ecoregion, based on Trout Unlimited's Conservation Success Index (CSI) data.Note, data were not available for the southeastern corner of the study site; please be aware of this gap in coverage. Conservation Success Index:Trout Unlimited developed the Conservation Success Index (CSI) in order to become more strategic and effective in our conservation efforts. Using the CSI, we can quantify and map the conservation status of all native coldwater fishes so that comparisons of existing condition, threats, future security, and management opportunities can be made across watersheds, river basins,...
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This dataset provides an estimate of aquatic intactness (i.e. condition or integrity) across the Roundtail Chub's potential distribution. Current aquatic intactness estimates are based on the extent to which human impacts such as water demand, agriculture, urban development, natural resource extraction, dams, diversions, and alterations have disrupted the hydrology, water quality, and habitat quality of aquatic systems across the state of Utah and the Colorado Plateau. Aquatic intactness values will be high in areas where these impacts are low.This HUC6 (12-Digit NHD Hydrologic Unit Code) resolution dataset was created for the Colorado Plateau REA stepdown analysis using the open-source logic modeling framework...
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This dataset provides an estimate of aquatic intactness (i.e. condition or integrity) across the Canyon Treefrog's potential distribution. Current aquatic intactness estimates are based on the extent to which human impacts such as water demand, agriculture, urban development, natural resource extraction, dams, diversions, and alterations have disrupted the hydrology, water quality, and habitat quality of aquatic systems across the state of Utah and the Colorado Plateau. Aquatic intactness values will be high in areas where these impacts are low.This HUC6 (12-Digit NHD Hydrologic Unit Code) resolution dataset was created for the Colorado Plateau REA stepdown analysis using the open-source logic modeling framework...
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Refer to methods document for tables and figures:http://eemaps.consbio.webfactional.com/static/Docs/Climate_and_impacts_analysis_methods.pdfClimate Data Selection: Criteria set forth by the Utah Division of Natural Resources (UT-DWR) and Utah State office of the Bureau of Land Management (UT-BLM) specified that the time periods used in the analysis be consistent with those used in the Colorado Plateau Rapid Ecological Assessment Report (Bryce et al., 2012), the spatial resolution for the study area be downscaled from 4 km x 4 km pixel resolution to 1 km x 1 km, that data used for future climate projections be obtained from phase 5 of the Coupled Model Intercomparison Project (CMIP5; (Taylor et al., 2012), and that...
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Refer to methods document for tables and figures:http://eemaps.consbio.webfactional.com/static/Docs/Climate_and_impacts_analysis_methods.pdfClimate Data Selection: Criteria set forth by the Utah Division of Natural Resources (UT-DWR) and Utah State office of the Bureau of Land Management (UT-BLM) specified that the time periods used in the analysis be consistent with those used in the Colorado Plateau Rapid Ecological Assessment Report (Bryce et al., 2012), the spatial resolution for the study area be downscaled from 4 km x 4 km pixel resolution to 1 km x 1 km, that data used for future climate projections be obtained from phase 5 of the Coupled Model Intercomparison Project (CMIP5; (Taylor et al., 2012), and that...
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Refer to methods document for tables and figures:http://eemaps.consbio.webfactional.com/static/Docs/Climate_and_impacts_analysis_methods.pdfClimate Data Selection: Criteria set forth by the Utah Division of Natural Resources (UT-DWR) and Utah State office of the Bureau of Land Management (UT-BLM) specified that the time periods used in the analysis be consistent with those used in the Colorado Plateau Rapid Ecological Assessment Report (Bryce et al., 2012), the spatial resolution for the study area be downscaled from 4 km x 4 km pixel resolution to 1 km x 1 km, that data used for future climate projections be obtained from phase 5 of the Coupled Model Intercomparison Project (CMIP5; (Taylor et al., 2012), and that...
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Refer to methods document for tables and figures:http://eemaps.consbio.webfactional.com/static/Docs/Climate_and_impacts_analysis_methods.pdfClimate Data Selection: Criteria set forth by the Utah Division of Natural Resources (UT-DWR) and Utah State office of the Bureau of Land Management (UT-BLM) specified that the time periods used in the analysis be consistent with those used in the Colorado Plateau Rapid Ecological Assessment Report (Bryce et al., 2012), the spatial resolution for the study area be downscaled from 4 km x 4 km pixel resolution to 1 km x 1 km, that data used for future climate projections be obtained from phase 5 of the Coupled Model Intercomparison Project (CMIP5; (Taylor et al., 2012), and that...
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This product is as subset of a legacy dataset and is included in the REA publication as it was used in the analysis for the Colorado Plateau REA. The legacy dataset was not part of the GRSG official HMA designations or planning process in 2015. For the most current version of sage-grouse habitat delinations assiciated with BLM Land Use Plans please visit the Greater Sage Grouse page on the Landscape Approach Data Portal. Updated in December, 2012 to the National Sage-grouse Planning Effort area. Canada, Washington, and Bi-State Distinct Population Segment areas were removed. Original versions exist in the 'Wildlife/Data' Sage-grouse directories at the NOC. This spatial dataset represents modeled occupied greater...
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Refer to methods document for tables and figures:http://eemaps.consbio.webfactional.com/static/Docs/Climate_and_impacts_analysis_methods.pdfClimate Data Selection: Criteria set forth by the Utah Division of Natural Resources (UT-DWR) and Utah State office of the Bureau of Land Management (UT-BLM) specified that the time periods used in the analysis be consistent with those used in the Colorado Plateau Rapid Ecological Assessment Report (Bryce et al., 2012), the spatial resolution for the study area be downscaled from 4 km x 4 km pixel resolution to 1 km x 1 km, that data used for future climate projections be obtained from phase 5 of the Coupled Model Intercomparison Project (CMIP5; (Taylor et al., 2012), and that...
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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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This dataset consists of short-term (~32 years) shoreline change rates for the north coast of Alaska between the U.S. Canadian Border and the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1978 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.
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This dataset consists of short-term (~31 years) shoreline change rates for the north coast of Alaska between the Point Barrow and Icy Cape. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1979 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.
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Estimates of county tile drainage in the Mississippi River Basin. Data Sources: 2012 USDA NASS Census of Agriculture; World Resources Institute. 2008. Assessing Farm Drainage; USGS Northern Prairie Wildlife Research Center. 2014. Assessment of agricultural subsoil pattern tile drainage on wetland hydrology and ecosystem services in the Prairie Pothole Region. Field Description tiled_acre Acres drained by tile (NASS Census of Agriculture, 2012) or drainage permit acres in Dakotas (NPWRC, 2014), whichever is higher. pct_tile Percent of county drained by tile (tiled_acre/cty_acr*100) prmtac2 Acres under drainage permit in North or South Dakota (NPWRC, 2014). Best_Guess Acres drained by tile (WRI - Assessing...
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Important Forest Resource Areas are those landscape areas that are considered to be of high program potential or priority by State Forest Action Plans, and as defined by National Forest Stewardship Program Standards and Guidelines. This dataset contains the combined areas for Illinois, Indiana, Iowa, Minnesota, Missouri, and Wisconsin within the Mississippi River Basin. Grid Value "1": Stewardship Potential - Areas within a state that are eligible for Forest Stewardship and Rural Forestry Assistance Program delivery, but are not considered a priority. Grid Value "2": High Stewardship Potential - Priority areas within a state that are eligible for Forest Stewardship and Rural Forestry Assistance Program delivery.
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Mainstem Mississippi River bottomlands. Derived by combining the Mississippi alluvial plain with natural floodplains created by the Scientific Assessment and Strategy Team for the Upper Mississippi. While the Mississippi alluvial plain is not entirely bottomland (e.g. Crowley's Ridge), excluding these non-bottomland areas from analysis would exclude opportunities to expand existing forest patches and enhance connectivity.
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Combined core and corridor areas used to identify the landscape context of potential implementation opportunities in terms of enhancing functional connectivity. Data generated by The Conservation Fund as part of the Midwest Wind Energy Multi-Species Habitat Conservation Plan (MSHCP) and NiSource MSHCP green infrastructure network design processes.
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The aquatic index of ecological integrity, version 3.1, was used as a mask to extract the aquatic classed from DSLland, version 3.1. Since streams flow into other habitats, such as wetlands, you will notice additional classes included here.
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Gulf Coast Prairie LCC Broadly Defined Habitats created from the LANDFIRE Ecological Site Potential data.


map background search result map search result map Sage-grouse Habitat Categories in Nevada and NE California (August 2014) GCP LCC Broadly Defined Habitats (LANDFIRE Ecological Site Potential) Mainstem Floodplains - Large Bottomland Ecological System Important Forest Resource Areas UMRGLR JV - Wetland Breeding Bird Habitat Priorities Combined Green Infrastructure Corridors Gridded SSURGO - Farmland Class (Prime/Important) County Tile Drainage - Mississippi River Basin DSLland Aquatic Classes, Version 3.1, Northeast U.S. Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Sheltered East Beaufort Sea coast of Alaska between the U.S. Canadian Border and the Hulahula River Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Exposed East Chukchi Sea coast of Alaska between the Point Barrow and Icy Cape BLM REA COP 2014 ensemble tmin4560 anom.img BLM REA COP 2014 ensemble pr1530.img BLM REA COP 2014 UCS UT COP AS Wild Nonnative Trout Dist BLM REA COP 2014 ensemble tmin1530 anom.img BLM REA COP 2014 UCS UT AI 163558 Roundtail Chub Status HUC6 BLM REA COP 2014 UCS UT AI 173510 Canyon Treefrog Status HUC6 BLM REA COP 2014 ensemble tmax4560 Summer avg.img BLM REA COP 2014 Greater Sage Grouse Predicted Current Distribution in the COP, USA BLM REA COP 2014 ensemble prec4560 Summer avg.img Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Exposed East Chukchi Sea coast of Alaska between the Point Barrow and Icy Cape Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Sheltered East Beaufort Sea coast of Alaska between the U.S. Canadian Border and the Hulahula River BLM REA COP 2014 UCS UT AI 173510 Canyon Treefrog Status HUC6 BLM REA COP 2014 UCS UT AI 163558 Roundtail Chub Status HUC6 BLM REA COP 2014 Greater Sage Grouse Predicted Current Distribution in the COP, USA BLM REA COP 2014 UCS UT COP AS Wild Nonnative Trout Dist Sage-grouse Habitat Categories in Nevada and NE California (August 2014) BLM REA COP 2014 ensemble tmin4560 anom.img BLM REA COP 2014 ensemble pr1530.img BLM REA COP 2014 ensemble tmin1530 anom.img BLM REA COP 2014 ensemble tmax4560 Summer avg.img BLM REA COP 2014 ensemble prec4560 Summer avg.img GCP LCC Broadly Defined Habitats (LANDFIRE Ecological Site Potential) UMRGLR JV - Wetland Breeding Bird Habitat Priorities Important Forest Resource Areas DSLland Aquatic Classes, Version 3.1, Northeast U.S. Mainstem Floodplains - Large Bottomland Ecological System Combined Green Infrastructure Corridors Gridded SSURGO - Farmland Class (Prime/Important) County Tile Drainage - Mississippi River Basin