Filters: Tags: Upper Colorado River Basin (X)
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This dataset contains the predicted probability of occurrence for modeled distributions of black crappie. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This dataset contains the predicted probability of occurrence for modeled distributions of bluegill. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This table contains information on the Ecological Drainage Units for streams and catchments in the Upper Colorado Basin. This table can be linked or joined via the "COMID" field in the National Hydrography Dataset Plus Version 1 (NHDPlusV1) data.
This dataset contains the predicted probability of occurrence for modeled distributions of northern pike. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
The data in this data release are from an effort focused on understanding social vulnerability to water insecurity, resiliency demonstrated by institutions, and conflict or crisis around water resource management. This data release focuses on definitions and metrics of resilience in water management institutions. Water resource managers, at various scales, are tasked with making complex and time-sensitive decisions in the face of uncertainty, competing objectives, and difficult tradeoffs. To do this, they must incorporate data, tacit knowledge, cultural and organizational norms, and individual or institutional values in a way that maintains consistent and predictable operations under normal circumstances, while...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Delaware River Basin,
Institutions,
Resilience,
USGS Science Data Catalog (SDC),
Upper Colorado River Basin,
Shallow ground water in areas of increasing urban development within the Upper Colorado River Basin was sampled for inorganic and organic constituents to characterize water-quality conditions and to identify potential anthropogenic effects resulting from development. In 1997, 25 shallow monitoring wells were installed and sampled in five areas of urban development in Eagle, Grand, Gunnison, and Summit Counties, Colorado. The results of this study indicate that the shallow ground water in the study area is suitable for most uses. Nonparametric statistical methods showed that constituents and parameters measured in the shallow wells were often significantly different between the five developing urban areas. Radon...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Colorado,
Journal of the American Water Resources Association,
Upper Colorado River Basin,
ground water,
land use,
Identifying ecologically relevant reference sites is important for evaluating ecosystem recovery, but the relevance of references that are temporally static is unclear in the context of vast landscapes with varying disturbance and environmental contexts over space and time. This question is pertinent for landscapes dominated by sagebrush (Artemisia spp.) which face a suite of threats from disturbance and development but also have lengthy recovery times. Here, we applied a dynamic reference approach to studying and projecting recovery of sagebrush on former oil and gas well pads in southwestern Wyoming, USA using over 3 decades of remote sensing data (1985-2018). We also used quantile regression to evaluate factors...
Longer, drier summers projected for arid and semi-arid regions of western North America under climate change are likely to have enormous consequences for water resources and river-dependent ecosystems. Many climate change scenarios for this region involve decreases in mean annual streamflow, latesummer precipitation and late-summer streamflow in the coming decades. Intermittent streams are already common in this region, and it is likely that minimum flows will decrease and some perennial streams will shift to intermittent flow under climate-driven changes in timing and magnitude of precipitation and runoff, combined with increases in temperature. To understand current intermittency among streams and analyze the...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
LCC Network Science Catalog,
LCC Network Science Catalog,
Random forests,
Report,
This dataset contains the predicted probability of occurrence for modeled distributions of plains killifish. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This dataset contains the predicted probability of occurrence for modeled distributions of longnose dace. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This dataset contains the predicted probability of occurrence for modeled distributions of largemouth bass. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
Defining site potential for an area establishes its possible long-term vegetation growth productivity in a relatively undisturbed state, providing a realistic reference point for ecosystem performance. Modeling and mapping site potential helps to measure and identify naturally occurring variations on the landscape as opposed to variations caused by land management activities or disturbances (Rigge et al. 2020). We integrated remotely sensed data (250-m enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) (https://earthexplorer.usgs.gov/)) with land cover, biogeophysical (i.e., soils, topography) and climate data into regression-tree software (Cubist®). We...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arid,
Arizona,
Colorado,
Ecology,
Geography,
Human factors that influence water availability in the Basin were discovered by reviewing hundreds of published literature items and articles from the literature following an extensive keyword search. The different factors were drawn from reviewing the literature, and datasets to support the factor were researched across open data catalogs and the world wide web. Data related to the Human Factors project water availability sectors of agriculture, industrial, municipal, and those related to ecosystem services, tourism, or other uses can be found here. Reproducible R scripts used to pull data or process data can be found within the section for the sector itself. Reproducible R scripts used to manage the literature...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. overland_flow_direction_UCRB_daymet_resolution.txt is an Esri ASCII grid representing overland flow direction in the Upper Colorado River Basin using the D8 flow-routing convention.
This dataset contains the predicted probability of occurrence for modeled distributions of roundtail chub. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This dataset contains the predicted probability of occurrence for modeled distributions of green sunfish. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
This USGS Data Release represents Soil-Water Balance (SWB) groundwater recharge modeling results for the Upper Colorado River Basin (UCRB). The data release was produced in compliance with 'open data' requirements as a way to make the scientific products associated with USGS research efforts and publications available to the public. This dataset comprises SWB model results from runs using projected climate data, summarized by sub-basin on a monthly basis, and there are 4 separate datafiles associated with this Data Release: 1. SWB model results for actual evapotranspiration (AET), summarized by sub-basin on a monthly basis from 1950 through 2099 2. SWB model results for potential evapotranspiration (PET), summarized...
Categories: Data;
Types: Citation;
Tags: Upper Colorado River Basin,
climate change,
groundwater recharge
Populations of the endangered razorback sucker (Xyrauchen texanus) in the middle Green River have declined since closure of Flaming Gorge Dam in 1962. The apparent cause for the decline is a lack of successful recruitment. Recruitment failure has been attributed to habitat alteration and competition and predation by exotic fishes on early life stages of razorback sucker. This study was conducted to evaluate two of the potential reproductive bottlenecks that might limit recruitment of razorback sucker in the Green River Drainage; (1) reduced larvae production due to sediment deposition on spawning areas, and (2) reduced survival of larvae or juveniles due to lack of timely access to food-rich backwater and floodplain...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. overland_flow_direction_UCRB_Maurer_resolution.asc is an Esri ASCII grid representing overland flow direction in the Upper Colorado River Basin using the D8 flow-routing convention.
This dataset contains the predicted probability of occurrence for modeled distributions of sockeye salmon. The species distribution model incorporated metrics describing the topography, hydrology, land use, climate, and biogeography of the basin to model predicted probability of occurrence.
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