U.S. flag

An official website of the United States government

Data and code from: Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for management

    This dataset includes code and data to recreate analysis from the manuscript "Nauman, T.W., Munson, S.M., Dhital, S, Webb, N.P., Duniway, M.C. Synergistic soil, land use, and climate influences on wind erosion on the Colorado Plateau: Implications for managemen". In prep for STOTEN. This includes R statistical code, aeolian monitoring data and associated soil, land use, and climate explanatory data for each site, and a raster map showing areas modeled to have more sediment transport.

    Data from: Conservation Practices Induce Tradeoffs in Soil Function: Observations from the Northern Great Plains

      Near-surface (0-5 cm) measurements of soil physical, chemical, and biological properties over a 3-yr period for contrasting long-term experimental treatments at the USDA-ARS Northern Great Plains Research Laboratory were conducted to quantify soil property responses to crop diversity/intensity, cover crops, and livestock integration under controlled experimental conditions, and land use (dryland cropping, native grassland, untilled pasture) on working farms and ranches, all on a common soil type in southcentral North Dakota, USA.

      Dynamic Soil Properties for Soil Health projects-v2

        This version-2 expands and updates the first dataset from the Dynamic Soil Properties for Soil Health (DSP4SH) initiative. The dataset represents the data gathered, processed, and curated using scientifically based approaches to evaluate dynamic soil properties as soil health metrics. This dataset comprises of raw data collected from assessment of dynamic soil properties that may change due to agricultural land management.

        Dynamic Soil Properties for Soil Health projects

          This dataset represents the first dataset from the Dynamic Soil Properties for Soil Health (DSP4SH) initiative. The dataset represents the data gathered, processed, and curated using scientifically based approaches to evaluate dynamic soil properties as soil health metrics. This dataset comprises of raw data collected from assessment of dynamic soil properties that may change due to agricultural land management.

          LTAR Upper Mississippi River Basin - Morris - Swan Lake Research Farm Phenocam

          NAL Geospatial Catalog
            The PhenoCam network is collecting color and near infrared images year-round using cameras in fixed positions on agricultural lands including a site located on the Swan Lake Research Farm. The network effort was initiated in 2015 at this long-term, plot-scale research site. The camera at the research farm on focused a plot-scale, replicated research study that was established in 1997 to assess the long-term impacts of various tillage management options on soil organic carbon

            Alternative Biomass Production Study for Resilient Economic Agricultural Practices in Morris, Minnesota

              The Tillage Study was established in 1997 to assess the effect of a variety of tillage intensities on soil C. The initial eight treatments included no-tillage, moldboard + disk tillage, chisel tillage, and fall and spring residue management, with or without strip-tillage and strip-tillage + subsoiling (Archer and Reicosky, 2009). In 2004, treatments were reduced to no-tillage, moldboard tillage, and fall and spring residue management without strip-tillage, but all had an early or late planting date. The last comprehensive set of soil samples were collected in 2006.

              Transforming Drainage Research Data (USDA-NIFA Award No. 2015-68007-23193)

                This dataset contains research data compiled by the “Managing Water for Increased Resiliency of Drained Agricultural Landscapes” project a.k.a. Transforming Drainage (https://transformingdrainage.org). These data began in 1996 and include plot- and field-level measurements for 39 experiments across the Midwest and North Carolina. Practices studied include controlled drainage, drainage water recycling, and saturated buffers. In total, 219 variables are reported and span 207 site-years for tile drainage, 154 for nitrate-N load, 181 for water quality, 92 for water table, and 201 for crop yield.

                Map of Soil Erosion Risk for the Mancos Shale Formation

                  This product used the rangeland hydrology and erosion model (RHEM) to map erosion risks affecting water quality of the Colorado River that originate on the Mancos Shale formation in Utah, Colorado, New Mexico, and Arizona. This high-resolution map of erosion risk developed from RHEM can help to prioritize specific areas for more intensive study and action.

                  Vegetation, rainfall simulation, and overland flow experiments before and after tree removal in woodland-encroached sagebrush steppe: the SageSTEP hydrology study

                    Simulated rainfall and overland-flow experiments are useful for enhancing understanding of surface hydrologic and erosion processes, quantifying runoff and erosion rates, and developing and testing predictive quantitative models. This extensive dataset consists of rainfall simulation and overland flow experimental plot data coupled with associated measures of vegetation, ground cover, and surface soil properties across point to hillslope scales. Data were collected at three woodland-encroached sagebrush (*Artemisia* spp.) rangelands in the Great Basin, USA, under undisturbed/untreated conditions and 1 yr to 9 yr following fire and/or mechanical tree-removal treatments.