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Data from: Evaluating plant biodiversity measurements and exotic species detection in National Resources Inventory Sampling protocols using examples from the Northern Great Plains of the USA

    The use of the standardized Whitaker plot method allows the authors to combine plant biodiversity and soil data from the northern Great Plains with other databases worldwide for larger-scale meta-analyses. The multiscale technique also enables comparison of vegetation dynamics at multiple scales.

    Data on Pregnancy rates, calf weaning weights, and sale prices on the University of Nevada Agricultural Experiment Station’s Gund Ranch from 2008-2020

      The University of Nevada Agricultural Experiment Station’s Gund Ranch near Austin, Nevada is approximately 100,000 acres with grazing by 325 cow-calf pairs. Cows are mostly Angus (80%) and Hereford (20%). Bulls are Angus X Hereford. Calves are mostly Angus with some black baldies. Cattle graze a Bureau of Land Management (BLM) grazing permit from April through July. Calving starts about mid-April. Branding is planned for 90-100 days after birth with bull calves castrated as this time. Privately-owned meadows are grazed July-September with weaning starting on September 15. Cows are grazed on BLM low elevation shrublands and weaned calves are kept in meadows with supplemental hay feeding on the Gund Ranch from October 1st through January 1st. The calves not kept for replacements are gathered and weighed for a total herd weight and shipped approximately the 1st of November. The larger end of the steers and heifers typically range from 475-490 pounds. Around 100 head are loaded onto a semi to achieve a full truckload of 48,000-50,0000 pounds. The smaller end of the steers and heifers are shipped on a second semi load. Weights are decreased with a 2% shrink calculation. In Nevada, there are only two sale barns, so many ranches receive more money by selling semi loads shipped to grazinglands of buyers’ choice. Calves are primarily sold on the internet go through Roundup Cattle Company. In years with drought conditions, calves may not reach the 48,000-50,000 weight limit for a second truck. Thus, the smaller calves can be marketed through a local sale barn at a one of their special calf sales.

      Data from: Vegetation index-based partitioning of evapotranspiration is deficient in grazed systems

        The dataset includes 30 minutes values of partitioned evaporation (E) and transpiration (T), T:ET ratios, and other ancillary datasets for three ET partitioning methods viz. Flux Variance Similarity (FVS) method, Transpiration Estimation Algorithm (TEA), and Underlying Water Use Efficiency (uWUE) method for the three wheat sites. The dataset also contains remote sensing-derived Enhanced Vegetation Index (EVI) data for each site.

        Data from: Vegetation index-based partitioning of evapotranspiration is deficient in grazed systems

          The dataset includes 30 minutes values of partitioned evaporation (E) and transpiration (T), T:ET ratios, and other ancillary datasets for three ET partitioning methods viz. Flux Variance Similarity (FVS) method, Transpiration Estimation Algorithm (TEA), and Underlying Water Use Efficiency (uWUE) method for the three wheat sites. The dataset also contains remote sensing-derived Enhanced Vegetation Index (EVI) data for each site.

          Data from: Chapter 2- Livestock and Grazed Lands Emissions. U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2018

            The primary greenhouse gas (GHG) sources for agriculture are nitrous oxide (N2O) emissions from cropped and grazed soils, methane (CH4) emissions from ruminant livestock production and rice cultivation, and CH4 and N2O emissions from managed livestock waste. This dataset contains tabulated data from the figures and tables presented in Chapter 2, Livestock and Grazed Lands Emissions, of the report. This chapter covers carbon dioxide, methane, and nitrous oxide emissions and removals due to enteric fermentation, animal waste management, and land use for confined and grazed animals.

            Data from: Chapter 1, Introduction. U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2018

              The primary greenhouse gas (GHG) sources for agriculture are nitrous oxide (N2O) emissions from cropped and grazed soils, methane (CH4) emissions from ruminant livestock production and rice cultivation, and CH4 and N2O emissions from managed livestock waste. This dataset contains tabulated data from the figures and tables presented in Chapter 1, Introduction, of the report. Data are presented for Cropland Soils (N2O), Enteric Fermentation (CH4), Managed Livestock Waste (CH4 + N2O), Grazed Lands (CH4 + N2O), Rice Cultivation + Residue Burning (CH4 + N2O), Energy Use, Forests, Harvested Wood, Urban Trees, and Agricultural Soils.

              Data from: Runoff Water Quantity and Quality Data from Native Tallgrass Prairie and Crop-livestock Systems in Oklahoma between 1977 and 1999

                Historic data from the Water Resources and Erosion (WRE) watersheds at Grazinglands Research Laboratory (GRL), USDA-ARS, El Reno, OK. The WRE watersheds are eight 1.6 ha experimental watersheds established and instrumented in 1976 to measure precipitation and surface runoff quantity and quality. Data was collected from 1977 through 1999 and includes precipitation, runoff, sediment loads, water quality (N, P, suspended sediments), and land management data.

                National Resources Inventory

                  The 2017 National Resources Inventory (NRI) conducted by the U.S. Department of Agriculture's Natural Resources Conservation Service (NRCS) provides updated information on the status, condition, and trends of land, soil, water, and related resources on the Nation's non-Federal lands. Non-Federal lands include privately owned lands, tribal and trust lands, and lands controlled by State and local governments.

                  NAL Geodata

                    The United States Department of Agriculture National Agricultural Library Geospatial Data catalog contains geographic location-based agricultural research data, imagery, research location context, and more. Users can search records representing a variety of datasets, maps and graphics, aerial and phenocam images, and other services.