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Predictions of raven occurrence in the absence of anthropogenic environmental effects. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior distributions for relevant effects were used to generate the predictions.
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This U.S. Geological Survey (USGS) Data Release provides derivative statistics of water used by Kansas irrigators in the Kansas irrigation water-use analysis regions. The published application rate statistics from the previous 4 years (2010–13) are shown with the 2014 statistics and are used to calculate a 5-year average. The 2014 annual total precipitation and the current 30-year climatic normal (based on 1981–2010) are also shown by region. The amount of water used, irrigated acres, and application rates are further grouped by crop type. The amount of water used and irrigated acres are further grouped by irrigation method. Total reported irrigation water use in 2014 was 3.3 million acre-feet of water applied to...
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Predictions of raven occurrence in the absence of natural environmental effects. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior distributions for relevant effects were used to generate the predictions.
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Contamination to aquatic resources from co-produced water (brine) associated with energy development has been documented in the northeastern portion of the Williston Basin; an area mantled by glacial drift. The presence and magnitude of brine contamination can be determined using the contamination index (CI) value from water samples. Recently, the U.S. Geological Survey published a section (~2.59 km2) level risk assessment of brine contamination to aquatic resources for Sheridan County, Montana, using oilfield and hydrogeological parameters. Our goal was to improve the Sheridan County assessment (SCA) and evaluate the use of this new Williston Basin assessment (WBA) across 31 counties mantled by glacial drift in...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bakken Formatioin, Bakken Formation, Benson, North Dakota, Blaine, Montana, Bottineau, North Dakota, All tags...
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This U.S. Geological Survey (USGS) Data Release provides derivative county-level statistics of water used by Kansas irrigators in 2014. The published county-level application rate statistics from the previous 4 years (2010–13) are shown with the 2014 statistics and are used to calculate a 5-year average. The 2014 annual total precipitation and the current 30-year climatic normal (based on 1981–2010) are also shown by county. Other data published in this data release include the amount of water used, irrigated acres, and application rates by crop type and the amount of water used and number of irrigated acres for each irrigation method. Total reported irrigation water use in 2014 was 3.3 million acre-feet of water...
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This U.S. Geological Survey (USGS) Data Release provides derivative 2014 statistics of water used by Kansas irrigators in the 14 regional planning areas used in the Kansas Water Plan. The published application rate from 2013 is shown with the 2014 statistics. A 5-year average will be calculated with 2017 data. The 2014 annual total precipitation and the current 30-year climatic normal (based on 1981–2010) are also shown by regional planning area.
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The basin boundaries available here are derived from the Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014). The Geopspatial Fabric provides a consistent, documented, and topologically connected set of spatial features that create an abstracted stream/basin network of features useful for hydrologic modeling. The GIS vector features contained in this Geospatial Fabric (GF) data set cover the lower 48 U.S. states, Hawaii, and Puerto Rico. Four GIS feature classes are provided for each Region: 1) the Region outline ("one"), 2) Points of Interest ("POIs"), 3) a routing network ("nsegment"), and 4) Hydrologic Response Units ("nhru"). A graphic showing the boundaries for all Regions is provided...
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The stream segments available here are derived from the Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014). The Geopspatial Fabric provides a consistent, documented, and topologically connected set of spatial features that create an abstracted stream/basin network of features useful for hydrologic modeling.The GIS vector features contained in this Geospatial Fabric (GF) data set cover the lower 48 U.S. states, Hawaii, and Puerto Rico. Four GIS feature classes are provided for each Region: 1) the Region outline ("one"), 2) Points of Interest ("POIs"), 3) a routing network ("nsegment"), and 4) Hydrologic Response Units ("nhru"). A graphic showing the boundaries for all Regions is provided at...
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Predictions of an anthropogenic influence on raven occurrence index intersected with sage-grouse concentration areas. The anthropogenic influence index indicates where resource subsidies are contributing the most to raven occurrence.
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Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the mean of the predicted posterior distribution for raven occurrence was used to visualize results.
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An index of anthropogenic influences on raven populations. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior distributions for relevant effects were used to generate the predictions.
    map background search result map search result map Williston Basin Assessment Web Map (2014) Reported 2014 water withdrawn for irrigation, acres irrigated, and application rates in Kansas counties (spatial and tabular data). Reported 2014 water withdrawn for irrigation, acres irrigated, and application rates in Kansas regional planning areas used in the Kansas Water Plan (spatial and tabular data). Reported 2014 water withdrawn for irrigation, acres irrigated, and application rates in Kansas irrigation water-use analysis regions (spatial and tabular data). Selected Watershed Boundaries from 'Geospatial Fabric for National Hydrological Modeling' - Web Feature Service Selected Stream Segments (Subset R10U) from 'Geospatial Fabric for National Hydrological Modeling' - Web Feature Service Raven study site locations in the Great Basin, derived from survey locations 2007 - 2016 Predicted probability of raven occurrence across the Great Basin, USA, 2007 – 2016 (Fig. 3) Predictions of raven occurrence in the absence of natural environmental effects in the Great Basin, 2007-2016 (Fig. 4A) Predictions of raven occurrence in the absence of anthropogenic environmental effects in the Great Basin, 2007-2016 (Fig. 4B) Anthropogenic influence index for raven populations in the Great Basin, 2007-2016 (Fig. 4C) Prediction of raven occurrence intersected with high impact areas for sage-grouse populations in the Great Basin, 2007-2016 (Fig. 5A) Anthropogenic influence on raven occurrence index within sage-grouse concentration areas in the Great Basin, 2007-2016 (Fig. 5B) Reported 2014 water withdrawn for irrigation, acres irrigated, and application rates in Kansas counties (spatial and tabular data). Reported 2014 water withdrawn for irrigation, acres irrigated, and application rates in Kansas irrigation water-use analysis regions (spatial and tabular data). Reported 2014 water withdrawn for irrigation, acres irrigated, and application rates in Kansas regional planning areas used in the Kansas Water Plan (spatial and tabular data). Selected Stream Segments (Subset R10U) from 'Geospatial Fabric for National Hydrological Modeling' - Web Feature Service Selected Watershed Boundaries from 'Geospatial Fabric for National Hydrological Modeling' - Web Feature Service Williston Basin Assessment Web Map (2014) Raven study site locations in the Great Basin, derived from survey locations 2007 - 2016 Prediction of raven occurrence intersected with high impact areas for sage-grouse populations in the Great Basin, 2007-2016 (Fig. 5A) Anthropogenic influence on raven occurrence index within sage-grouse concentration areas in the Great Basin, 2007-2016 (Fig. 5B) Predicted probability of raven occurrence across the Great Basin, USA, 2007 – 2016 (Fig. 3) Predictions of raven occurrence in the absence of natural environmental effects in the Great Basin, 2007-2016 (Fig. 4A) Predictions of raven occurrence in the absence of anthropogenic environmental effects in the Great Basin, 2007-2016 (Fig. 4B) Anthropogenic influence index for raven populations in the Great Basin, 2007-2016 (Fig. 4C)