Filters: Contacts: {oldPartyId:5660} (X) > partyWithName: Natasha B Carr (X) > partyWithName: Fort Collins Science Center (X)

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Potential productivity and change estimates for eight grassland species to evaluate vulnerability to climate change in the southern Great Plains This data set includes the relative production scenarios for eight (8) grass species based on linear models from Epstein, et al. (1998). We selected two indicator species for each community: shortgrass prairie: blue grama (Bouteloua gracilis; BOGR) and buffalo grass (Bouteloua dactyloides; BODA); mixedgrass prairie: sideoats grama (Bouteloua curtipendula; BOCU) and little bluestem (Schizachyrium scoparium; SCSC); tallgrass prairie: big bluestem (Andropogon gerardii; ANGE) and Indiangrass (Sorghastrum nutans; SONU); and semiarid grasslands: black grama (Bouteloua eriopoda; BOER) and tobosagrass (Pleuraphis mutica; PLMU). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided... Tags: Colorado, Great Plains Landscape Conservation Cooperative, Kansas, Nebraska, New Mexico, All tags... Oklahoma, Rapid Ecological Assessment, South Dakota, Southern Great Plains, Southern Great Plains, Texas, USGS Science Data Catalog (SDC), Wyoming, biota, disturbance, energy, environment, management, vegetation, wilderness, wildlife, Fewer tags Potential productivity and change for buffalograss in the Great Plains Landscape Conservation Cooperative area This data set includes the relative production scenarios for bufflaograss [0.72(Temp) - 0.12(Precip) - 0.04(Sand) + 3.08]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011), and hotter-drier... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Colorado, Great Plains Landscape Conservation Cooperative, Kansas, Nebraska, New Mexico, All tags... Oklahoma, Rapid Ecological Assessment, South Dakota, Southern Great Plains, Southern Great Plains, Texas, Wyoming, biota, disturbance, energy, environment, management, vegetation, wilderness, wildlife, Fewer tags Potential productivity and change for sideoats grama in the Great Plains Landscape Conservation Cooperative area This data set includes the relative production scenarios for sideoats grama [1.13(Temp) + 0.41(Precip) - 0.004(Precip)^2- 0.07(Sand) - 12.3]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Colorado, Great Plains Landscape Conservation Cooperative, Kansas, Nebraska, New Mexico, All tags... Oklahoma, Rapid Ecological Assessment, South Dakota, Southern Great Plains, Southern Great Plains, Texas, Wyoming, biota, disturbance, energy, environment, management, vegetation, wilderness, wildlife, Fewer tags Potential productivity and change for little bluestem in the Great Plains Landscape Conservation Cooperative area This data set includes the relative production scenarios for little bluestem [0.26(Precip) - 4.04]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011), and hotter-drier scenario (ACCESS... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Colorado, Great Plains Landscape Conservation Cooperative, Kansas, Nebraska, New Mexico, All tags... Oklahoma, Rapid Ecological Assessment, South Dakota, Southern Great Plains, Southern Great Plains, Texas, Wyoming, biota, disturbance, energy, environment, management, vegetation, wilderness, wildlife, Fewer tags Distribution of a freshwater mussel assemblage in Nebraska, Kansas, and Oklahoma The purpose of this data release and associated data series (Carr and Fancher, 2021) was to compile occurrence records and map the distribution of a freshwater mussel assemblage for the Bureau of Land Management Rapid Ecoregional Assessment for the Southern Great Plains. The freshwater mussel assemblage includes Amblema plicata (threeridge), Fusconaia flava (Wabash pigtoe), Lampsilis cardium (plain pocketbook), Lampsilis teres (yellow sandshell), Pyganodon grandis (giant floater), and Uniomerus tetralasmus (pondhorn). The focal species in the assemblage were selected based on the following criteria: (1) the species are regionally significant, (2) occurrence records are sufficient to map the distribution of the species... Categories: Data; Tags: Kansas, Nebraska, Oklahoma, Southern Great Plains, USGS Science Data Catalog (SDC), All tags... biota, freshwater mussels, Fewer tags Estimated habitat suitability for the American burying beetle using land cover classes in the Southern Plains (ver. 1.1, June 2020) Potentially suitable habitat for the American burying beetle (Nicrophorus americanus) was identified within the Southern Plains. The American burying beetle (ABB) is listed as endangered under the Endangered Species Act, but in 2019 the U.S. Fish and Wildlife Service proposed to reclassify this species as threatened. We applied a deductive model for the ABB that identified potentially suitable habitat using LANDFIRE Existing Vegetation Types (EVT). The habitat model ranked each EVT using one of four categories: (1) favorable; suitable vegetation to support all or critical portions of the ABB life cycle, (2) conditional; favorable only under certain conditions including seasonality of flooding and land management... Categories: Data, Data Release - Revised; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: American burying beetle, Arkansas, Kansas, LANDFIRE, Missouri, All tags... Nicrophorus americanus, Oklahoma, Southern Plains, Texas, USGS Science Data Catalog (SDC), United States, biota, endangered species, entomology, habitat suitability, habitats, insects, surface disturbance, vegetation, vegetation classification, wildlife biology, Fewer tags A Multiscale Index of Landscape Intactness for the Western United States Landscape intactness has been defined as a quantifiable estimate of naturalness measured on a gradient of anthropogenic influence. We developed a multiscale index of landscape intactness for the Bureau of Land Management’s (BLM) landscape approach, which requires multiple scales of information to quantify the cumulative effects of land use. The multiscale index of landscape intactness represents a gradient of anthropogenic influence as represented by development levels at two analysis scales. To create the index, we first mapped the surface disturbance footprint of development, for the western U.S., by compiling and combining spatial data for urban development, agriculture, energy and minerals, and transportation... Tags: Arizona, California, Colorado, Development, Idaho, All tags... Kansas, Landscape intactness, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, South Dakota, Surface disturbance footprint, Terrestrial Development Index (TDI), Texas, USGS Science Data Catalog (SDC), Urban development, Utah, Washington, Western United States, Wyoming, agriculture, ecological processes, energy resources, environment, environmental assessment, land use and land cover, mineral resources, natural resource management, transportation, transportation, Fewer tags Terrestrial Development Index for the western United States:1-kilometer moving window The Terrestrial Development Index (TDI) quantifies the level of development (urban, agriculture, energy and mineral extraction and transmission, and transportation) based on the surface disturbance footprint. TDI values range from 0 to 100% and represent the total percentage of land surface occupied by the development footprint within a 1-kilometer (km) radius moving window. Tags: Arizona, California, Colorado, Development, Idaho, All tags... Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, South Dakota, Surface disturbance footprint, Terrestrial Development Index (TDI), Texas, USGS Science Data Catalog (SDC), Urban development, Utah, Washington, Western United States, Wyoming, agriculture, ecological processes, energy resources, environment, environmental assessment, land use and land cover, mineral resources, natural resource management, transportation, transportation, Fewer tags Potential productivity and change for black grama in the Great Plains Landscape Conservation Cooperative area This data set includes the relative production scenarios for black grama [0.37(Temp) - 0.06(Precip) + 0.24]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011), and hotter-drier scenario... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Colorado, Great Plains Landscape Conservation Cooperative, Kansas, Nebraska, New Mexico, All tags... Oklahoma, Rapid Ecological Assessment, South Dakota, Southern Great Plains, Southern Great Plains, Texas, Wyoming, biota, disturbance, energy, environment, management, vegetation, wilderness, wildlife, Fewer tags Potential productivity and change for blue grama in the Great Plains Landscape Conservation Cooperative area This data set includes the relative production scenarios for blue grama [4.15(Temp) -0.3(Precip) - 0.15(Temp)^2 + 0.08]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011), and hotter-drier... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Colorado, Great Plains Landscape Conservation Cooperative, Kansas, Nebraska, New Mexico, All tags... Oklahoma, Rapid Ecological Assessment, South Dakota, Southern Great Plains, Southern Great Plains, Texas, Wyoming, biota, disturbance, energy, environment, management, vegetation, wilderness, wildlife, Fewer tags Potential productivity and change for tobosagrass in the Great Plains Landscape Conservation Cooperative area This data set includes the relative production scenarios for tobosagrass [0.08(Temp) - 0.58]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011), and hotter-drier scenario (ACCESS... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Colorado, Great Plains Landscape Conservation Cooperative, Kansas, Nebraska, New Mexico, All tags... Oklahoma, Rapid Ecological Assessment, South Dakota, Southern Great Plains, Southern Great Plains, Texas, Wyoming, biota, disturbance, energy, environment, management, vegetation, wilderness, wildlife, Fewer tags Potential productivity and change for Indiangrass in the Great Plains Landscape Conservation Cooperative area This data set includes the relative production scenarios for Indiangrass [0.17(Precip) + 0.02(Sand) - 7.4]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011), and hotter-drier scenario... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Colorado, Great Plains Landscape Conservation Cooperative, Kansas, Nebraska, New Mexico, All tags... Oklahoma, Rapid Ecological Assessment, South Dakota, Southern Great Plains, Southern Great Plains, Texas, Wyoming, biota, disturbance, energy, environment, management, vegetation, wilderness, wildlife, Fewer tags Potential productivity and change for big bluestem in the Great Plains Landscape Conservation Cooperative area This data set includes the relative production scenarios for big bluestem [3.08(Temp) -0.41(Precip)+0.14(Silt) - 0.16(Temp)^2 -31.9]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011),... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Colorado, Great Plains Landscape Conservation Cooperative, Kansas, Nebraska, New Mexico, All tags... Oklahoma, Rapid Ecological Assessment, South Dakota, Southern Great Plains, Southern Great Plains, Texas, Wyoming, biota, disturbance, energy, environment, management, vegetation, wilderness, wildlife, Fewer tags Surface area of solar arrays in the conterminous United States The U.S. Geological Survey (USGS) Fort Collins Science Center created a national data set of the footprint area of solar arrays for the Bureau of Land Management’s National Operations Center. We identified potential solar facility locations for the conterminous U.S. using the U.S. Energy Information Administration (EIA) utility-scale facilities data from 2015. The footprint area of each solar array was digitized on-screen using true color aerial imagery from the most recently available National Agriculture Imagery Program (NAIP) for each state (NAIP 2013-2015). We used supplementary ESRI basemap imagery accessed via ArcGIS to verify locations of arrays observed in NAIP imagery. Arrays separated by more than 30 meters... Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Array, Conterminous United States, Development footprint, Energy development, Solar, All tags... USGS Science Data Catalog (SDC), Utility-scale solar facilities, Fewer tags