Skip to main content
Advanced Search

Filters: Tags: Nebraska (X) > Types: Map Service (X) > Types: Citation (X)

233 results (90ms)   

View Results as: JSON ATOM CSV
thumbnail
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
thumbnail
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
thumbnail
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
thumbnail
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
thumbnail
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
thumbnail
Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...
thumbnail
A raster dataset of the percent of sagebrush-dominated ecological systems within a 5km radius moving window. This dataset was made by reclassifying the Sagebrush Cover raster into values of only sagebrush-dominated ecological systems, and then running a moving window analysis on that raster.
thumbnail
A raster dataset representing road density within the Western United States. This dataset was made combining the BLM GRSG Westwide Habitat Disturbance Threats of Surface Streets, Major Roads, and Highways. The density metric of the raster is kilometers of roads per square kilometer within a 5km radius multiplied by 10000. The purpose is to represent road density within the Western United States. It was created to be incorporated into a larger landscape scale geospatial data modeling effort, the Conservation and Restoration Strategy.
thumbnail
Shapefile created by USGS. This is a channel polygon coverage digitized from aerial photography at the top of the high bank. The low-altitude aerial orthophotos were provided by the US Army Corps of Engineers and were acquired 11/1/2012 to 11/21/2012 under leaves off and relatively low-water conditions. Notably, these conditions post-date 2011 flooding and channel changes. The features digitized correspond to the interpreted high bank, or bankfull conditions. Types of channel polygons were also discriminated: main channel, side channel chutes, islands, backwaters, and irregular off-channel aquatic features.
thumbnail
Inundation is a critical parameter of wetland hydrologic performance. This study uses Annual Habitat Survey data from 2004 to 2012 in the Rainwater Basin in south-central Nebraska to examine differences between the actual inundation conditions and three datasets: the National Wetland Inventory (NWI), the Soil Survey Geographic database (SSURGO), and LiDAR-derived depressions. The results show that current wetland inundated areas were well overlaid with these datasets (99.9% in SSURGO data, 67.9% in NWI data, and 87.3;% in LiDAR-derived depressions). However, the hydrologic degradation of playa wetlands was not reflected in these datasets. In SSURGO data, only 13.3% of hydric soil footprint areas were inundated and...
thumbnail
The Central Platte River Image Library is an extensive dataset of historic 1860's surveys by the Government Land Office and aerial photographs from 1938-2012. All datasets are either public domain property of the U.S. Government or published by the Rainwater Basin Joint Venture (RWBJV) with permission from the respective owner (specifically the Platte River Recovery Implementation Program or Central Platte Natural Resources District). The Central Platte River region of Nebraska extends from approximately Jeffery Reservoir (Western Extent) to Columbus (Eastern Extent). The library was completed May 2014 - Sept 2016 by the Rainwater Basin Joint Venture.
thumbnail
The Central Platte River Image Library is an extensive dataset of historic 1860's surveys by the Government Land Office and aerial photographs from 1938-2012. All datasets are either public domain property of the U.S. Government or published by the Rainwater Basin Joint Venture (RWBJV) with permission from the respective owner (specifically the Platte River Recovery Implementation Program or Central Platte Natural Resources District). The Central Platte River region of Nebraska extends from approximately Jeffery Reservoir (Western Extent) to Columbus (Eastern Extent). The library was completed May 2014 - Sept 2016 by the Rainwater Basin Joint Venture.
thumbnail
Landscape intactness has been defined as a quantifiable estimate of naturalness measured on a gradient of anthropogenic influence and based on available spatial data. We developed a multiscale index of landscape intactness for use as a broad-scale indicator of resource condition 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 calculate landscape intactness we combined the terrestrial development index (TDI) summarized at two scales (using a 2.5- and a...


map background search result map search result map Central Platte River Image Library - 2010 Summer Western United States Road Density Raster Western United States Percent of Sagebrush-dominated Ecological Systems within a 5km Radius Raster Central Platte River Image Library - 1951 Landscape Intactness Index for the Western United States Bankfull polygon coverage of Lower Missouri River Precipitation (Mean: Annual) - 2070-2100 - RCP8.5 - Min Temperature (Mean: Annual) - 1980-2010 Precipitation (Mean: July - Sep) - 2070-2100 - RCP8.5 - Min Temperature (Mean: Apr - June) - 2070-2100 - RCP4.5 - Mean Temperature (Mean: Dec - Mar) - 2020-2050 - RCP4.5 - Max Temperature (Mean: Dec - Mar) - 2020-2050 - RCP8.5 - Max Examining Playa Wetland Inundation Conditions for National Wetland Inventory, Soil Survey Geographic Database, and LiDAR Data Central Platte River Image Library - 1951 Central Platte River Image Library - 2010 Summer Examining Playa Wetland Inundation Conditions for National Wetland Inventory, Soil Survey Geographic Database, and LiDAR Data Bankfull polygon coverage of Lower Missouri River Western United States Road Density Raster Western United States Percent of Sagebrush-dominated Ecological Systems within a 5km Radius Raster Landscape Intactness Index for the Western United States Precipitation (Mean: Annual) - 2070-2100 - RCP8.5 - Min Temperature (Mean: Annual) - 1980-2010 Precipitation (Mean: July - Sep) - 2070-2100 - RCP8.5 - Min Temperature (Mean: Apr - June) - 2070-2100 - RCP4.5 - Mean Temperature (Mean: Dec - Mar) - 2020-2050 - RCP4.5 - Max Temperature (Mean: Dec - Mar) - 2020-2050 - RCP8.5 - Max