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This set of programs simulates steady-state stream temperatures throughout a dendritic stream network handling multiple time periods per year. The software requires a math co-processor and 384K RAM. Also included is a program (SSTEMP) designed to predict the steady state stream temperature within a single stream segment for a single time period. SNTEMP is a mechanistic, one-dimensional heat transport model that predicts the daily mean and maximum water temperatures as a function of stream distance and environmental heat flux. Net heat flux is calculated as the sum of heat to or from long-wave atmospheric radiation, direct short-wave solar radiation, convection, conduction, evaporation, streamside vegetation (shading),...
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...
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Data were collected in 2017 by researchers at the USGS, USDA-ARS, and University of Wyoming on the food webs of plants, prairie dogs, arthropods, and birds in the Thunder Basin National Grassland. Data were collected from 87 sites in order to parameterize a structural equation model linking prairie dog impacts to changes in vegetation, arthropods, and birds. Abiotic information such as topographic wetness index, terrain roughness, and soil characteristics were estimated at the same set of plots in order to account for abiotic variation across the landscape.
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This dataset “Broad-scale assessment of biophysical features in Colorado: Soil salinity using electrical conductance” presents information extracted from the Natural Resources Conservation Service (NRCS) gridded surface soils geographic database (gSSURGO). Fields retained and presented here include map unit (MU) codes and component (COMP) codes that may be used to reference records in the original, NRCS, data. Soil salinity is typically measured and evaluated based on electrical conductance (EC), and values presented here include the representative value for the map unit component (ECR) and the highest estimated value (ECH). Soils with high salinity can affect the composition of vegetation and can limit production...
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This data release presents observations of riparian vegetation, topography, sediment quality, and river corridor geomorphology in four river reaches of the Lower Virgin River extending downstream 62 river kilometers (rkm) from near the town of Littlefield (AZ) and the Arizona-Nevada border at rkm 119. Methods included field observations and analysis of remotely-sensed data before (2010) and after (2011-2012) a 40-year return period flood (December 2010, at the gaging station “Virgin River near Littlefield” (USGS gage #09415000)). The data release includes four .csv files related to field observations: UTM coordinates of field transect locations; vegetation and geomorphology; species codes; and sediment quality....
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wy_lvl7_coarsescale: Wyoming hierarchical cluster level 7 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
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wy_lvl2_finescale: Wyoming hierarchical cluster level 2 (fine-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
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Active channel as defined by remote sensing before (2010 and after (2011) a 40 year return period flood (December 2010) within the lower Virgin River, Nevada.
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Data were collected on seed production dynamics of long-lived plants, reproductive plant traits of those plant species, and weather variability for sites where those species live. Data include the coefficient of variation in seed production over time, the variation (coefficient of variation or standard deviation) in weather over years, and reproductive traits such as pollination mode and seed dispersal mechanism. Data series were distributed globally and encompass 920 data series containing 311 plant species. Data series are all 6 or more years in length.
Here we present the map of potential suitable habitat for Ash Meadows gum-plant (Grindelia fraxinipratensis). The data indicate both how many models predicted each location to be potentially suitable for the species and the average standardized habitat suitability score for each location.Data are presented at a spatial resolution of 10 m pixels, which was required to harmonize the original model inputs. However, maps of suitable habitat should be used at a resolution no smaller than 360 m (i.e., 36 pixels x 36 pixels), which corresponds with the resolution of the coarsest model input. These data are intended to be used only to target future plant surveys in areas where new occurrences are most likely to benefit...


map background search result map search result map Broad-scale assessment of biophysical features in Colorado: Soil salinity using electrical conductance Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 2 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 7 (Wyoming), Interim Riparian vegetation, topography, sediment quality, and river corridor geomorphology in the Lower Virgin River, Nevada and Arizona, before (2010) and after (2011-2012) a 40-year return period flood Active channel in the Lower Virgin River before and after a 40 yr flood (December 2010) Data on prairie dogs, plants, arthropod biomass, and birds for Thunder Basin, Wyoming in 2017 Riparian vegetation, topography, sediment quality, and river corridor geomorphology in the Lower Virgin River, Nevada and Arizona, before (2010) and after (2011-2012) a 40-year return period flood Active channel in the Lower Virgin River before and after a 40 yr flood (December 2010) Data on prairie dogs, plants, arthropod biomass, and birds for Thunder Basin, Wyoming in 2017 Broad-scale assessment of biophysical features in Colorado: Soil salinity using electrical conductance Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 2 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 7 (Wyoming), Interim