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Relative abundance of salt marsh habitat, by marine ecoregion. We compiled a global database on salt marshes in collaboration with UNEP-WCMC and with input from Paul Adam, University of New South Wales, Australia. In this database, habitat abundance was estimated using the array of point locations and GIS data holdings from this database and were broadly based on abundance as a proportion of the total coastline length in each ecoregion. Salt marshes were poorly covered in the literature for some parts of the Arctic coastline and from wide areas of the tropics where salt marshes were often overlooked or classified within mangrove areas. While efforts were made to target data searching for these regions, there may...
We examined the biogeography of aquatic and semiaquatic Heteroptera (ASH) in the Grand Canyon (GC) ecoregion (GCE) on and adjacent to the southern Colorado Plateau. We report 89 ASH taxa in 86 species, 37 genera, and 14 families in the GCE, including 54 ASH taxa detected within or on the rims of GC and its major tributaries, a fauna 3.8-fold greater than previously reported. We tested 2 groups of biogeographic hypotheses to account for this high level of diversity, demonstrating an underlying pattern of mixed biogeographic affinity and strong landform-climate effects. Equal numbers of ASH taxa were derived from allochthonous (neotropical and nearctic) sources and autochthonous (range-centered) sources. A negative...
Ecoregion "Magallanes" de Chile, Sudamerica
The Utah Well & Spring database contains data of 2981 wells, springs, and miscellaneous sites such as collector wells and mines. It is available from the Utah Geological Survey at:http://geology.utah.gov/emp/geothermal/wells_springs_database.htmThe Conservation Biology Institute selected geothermal wells from this database. The geothermal well layer was then used in further analysis and modeling.
This dataset depicts polygons of white-tailed prairie dog colonies in Colorado digitized from figure 1 in the White-tailed Prairie Dog Conservation Assessment (Seglund et al. 2004). This dataset should be used with caution because there were few reference points to use during georeferencing. The original GIS data should be obtained directly from Seglund et al. if possible.
This dataset depicts the current predicted distribution of major invasive vegetation in the State of Utah.Invasive classes were extracted from multiple datasets and then combined into a single raster dataset. A cell value of 1 was assigned where invasives were present and a value of 0 was assigned where they were absent .This invasive species composite (Upland, Riparian, Uncharacteristic Exotic Vegetation) was created from:1) LANDFIRE 120 EVT2180: Introduced Riparian Vegetation2181: Introduced Upland Vegetation-Annual Grassland2182: Introduced Upland Vegetation-Perennial Grassland and Forbland2183: Introduced Upland Vegetation-Annual and Biennial Forbland2184: Introduced Annual Grassland2) NatureServe Landcover...
This file is a feature class representing UCS_UT_COP_AI_RU_HUC6_EA_Poly_Densities
Raster dataset (30m resolution mask containing only "1" values) matching the 1 km resolution reporting units grid created for the Colorado Plateau Ecoregion.This dataset was used in the Utah-Colorado Plateau REA Stepdown terrestrial intactness analysis for summarizing raster input data to 1 km reporting units.
This dataset depicts the current predicted distribution of Roundtail Chub across the state of Utah, based on overlap with Natural Heritage Program Element occurrence data.
The study area for this Rapid Ecoregional Assessment (REA) COP 2014
This map shows EPA Level IV ecoregions within the Sonoran Desert ecoregion. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. The BLM should be cited as the data source in any products derived from these data.
This dataset provides an estimate of aquatic intactness (i.e. condition or integrity) across the Bon Cuthrout Trout C'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...
This dataset represents the estimated historical distribution of Colorado River Cutthroat 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,...
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,...
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...
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...
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...
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...
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...
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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