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NRCS Regional Conservation Partnership Program - Prairie Grasslands Region

    One of the most threatened ecosystems in North America, native prairie and grasslands contained within the Prairie Grasslands Region are essential habitat for a number of wild game and threatened species, including the lesser prairie chicken and sage grouse. The region also encompasses the Red River Basin of the North and the Ogallala Aquifer—areas that are facing critical conservation needs on working lands from frequent flooding and ponding (in the north) to prolonged drought and aquifer decline (in the Ogallala). This dataset includes a printer-friendly CCA map and shapefiles for GIS.

    NRCS Regional Conservation Partnership Program - Mississippi River Basin

      The Mississippi River is North America’s largest river, flowing over 2,300 miles through America’s heartland to the Gulf of Mexico. The watershed not only provides drinking water, food, industry, and recreation for millions of people, it also hosts a globally significant migratory flyway and home for over 325 bird species. This dataset includes a printer-friendly CCA map and shapefiles for GIS.

      NRCS Regional Conservation Partnership Program - Great Lakes Region

        America’s Great Lakes — Superior, Michigan, Huron, Erie and Ontario — hold 21 percent of the world’s surface fresh water and host habitat for a variety of fish and wildlife species of concern. They provide drinking water for more than 40 million people and economic benefits from fishing and recreation. The Great Lakes Region is also a major agricultural area, with more than 55 million acres of land under production. This dataset includes a printer-friendly CCA map and shapefiles for GIS.

        Data from: Underestimation of N2O emissions in a comparison of the DayCent, DNDC, and EPIC 1 models

          Process-based models are increasingly used to study mass and energy fluxes from agro-ecosystems, including nitrous oxide (N2O) emissions from agricultural fields. This data set is the output of three process-based models – DayCent, DNDC, and EPIC – which were used to simulate fluxes of N2O from dairy farm soils. The individual models' output and the ensemble mean output were evaluated against field observations from two agricultural research stations in Arlington, WI and Marshfield, WI. These sites utilize cropping systems and nitrogen fertilizer management strategies common to Midwest dairy farms.

          NUOnet (Nutrient Use and Outcome Network) database

            The Nutrient Uptake and Outcomes (NUOnet) database will be able to help establish baselines on nutrient use efficiencies; processes contributing to nutrient losses; and processes contributing to optimal crop yield, nutritional and organoleptic quality. This national database could be used to calculate many different environmental indicators from a comprehensive understanding of nutrient stocks and flows.

            Data from: Gas emissions from dairy barnyards

              To assess the magnitude of greenhouse gas (GHG) fluxes, nutrient runoff and leaching from dairy barnyards and to characterize factors controlling these fluxes, nine barnyards were built at the U.S. Dairy Forage Research Center Farm in Prairie du Sac, WI (latitude 43.33N, longitude 89.71W). The barnyards were designed to simulate outdoor cattle-holding areas on commercial dairy farms in Wisconsin. Each barnyard was approximately 7m x 7m; areas of barnyards 1-9 were 51.91, 47.29, 50.97, 46.32, 45.64, 46.30, 48.93, 48.78, 46.73 square meters, respectively. Factors investigated included three different surface materials (bark, sand, soil) and timing of cattle corralling. Each barnyard included a gravity drainage system that allowed leachate to be pumped out and analyzed. Each soil-covered barnyard also included a system to intercept runoff at the perimeter and drain to a pumping port, similar to the leachate systems.

              Low-Disturbance Manure Incorporation

                The LDMI experiment (Low-Disturbance Manure Incorporation) was designed to evaluate nutrient losses with conventional and improved liquid dairy manure management practices in a corn silage (*Zea mays*) / rye cover-crop (*Secale cereale*) system. The improved manure management treatments were designed to incorporate manure while maintaining crop residue for erosion control. Field observations included greenhouse gas (GHG) fluxes from soil, soil nutrient concentrations, crop growth and harvest biomass and nutrient content, as well as monitoring of soil physical and chemical properties. Observations from LDMI have been used for parameterization and validation of computer simulation models of GHG emissions from dairy farms (Gaillard et al., submitted). The LDMI experiment was performed as part of the Dairy CAP.

                Feedstock Readiness Level (FSRL) evaluation: Triticum aestivum (wheat straw), Alcohol-to-Jet, Central East, May 2017

                  Feedstock readiness level evaluations are performed for a specific feedstock-conversion process combination and for a particular region. FSRL evaluations complement evaluations of Fuel Readiness Level (FRL) and environmental progress. The data from this evaluation, compiled in May 2017, assesses the maturity of *Triticum aestivum* (wheat straw), as a feedstock for the Alcohol-to-Jet conversion process in the United States Central East region.

                  Measured Annual Nutrient loads from AGricultural Environments (MANAGE) database

                    The MANAGE (Measured Annual Nutrient loads from AGricultural Environments) database was developed to be a readily-accessible, easily-queried database of site characteristic and field-scale nutrient export data. Initial funding for MANAGE was provided by USDA-ARS to support the USDA Conservation Effects Assessment Project (CEAP) and the Texas State Soil and Water Conservation Board as part of their mission to understand and mitigate agricultural impacts on water quality. MANAGE contains data from a vast majority of published peer-reviewed N and P export studies on homogeneous cultivated, pasture/range, and forested land uses in the US under natural rainfall-runoff conditions, as well as artificially drained agricultural land. Thus MANAGE facilitates expanded spatial analyses and improved understanding of regional differences, management practice effectiveness, and impacts of land use conversions and management techniques, and it provides valuable data for modeling and decision-making related to agricultural runoff.