Spreadsheet from the paper entitled: Revisiting a Statistical Shortcoming when Fitting the Langmuir Model to Sorption Data by C.H. Bolster, Journal of Environmental Quality, 2008, 37:1986-1992. Spreadsheet has been modified to make a correction to the calculation of E for weighted data. (3/18/2010).
Data from: Development of PLEAD: a database containing event-based runoff P loadings from agricultural fields
The P Loss in runoff Events from Agricultural fields Database (PLEAD) is a compilation of event-based, field-scale dissolved and/or total P loss runoff loadings from agricultural fields collected at various research sites located in the US Heartland and Southern US. The database also includes runoff…
Data from: Agro-environmental consequences of shifting from nitrogen- to phosphorus-based manure management of corn.
This experiment was designed to measure greenhouse gas (GHG) fluxes and related agronomic characteristics of a long-term corn-alfalfa rotational cropping system fertilized with manure (liquid versus semi-composted separated solids) from dairy animals. Different manure-application treatments were sized to fulfill two conditions: (1) an application rate to meet the agronomic soil nitrogen requirement of corn (“N-based” without manure incorporation, more manure), and (2) an application rate to match or to replace the phosphorus removal by silage corn from soils (“P-based” with incorporation, less manure). In addition, treatments tested the effects of liquid vs. composted-solid manure, and the effects of chemical nitrogen fertilizer. The controls consisted of non-manured inorganic N treatments (sidedress applications). These activities were performed during the 2014 and 2015 growing seasons as part of the Dairy Coordinated Agricultural Project, or Dairy CAP, as described below. The data from this experiment give insight into the factors controlling GHG emissions from similar cropping systems, and may be used for model calibration and validation after careful evaluation of the flagged data.
SNAP (Soil Nutrient Assessment Program) is a web-based tool that provides an estimate of plant-available nutrients that the soil naturally provides.
SWIFT (Small Watershed Nutrient Forecasting Tool) is a web-based tool that allows the rapid estimation of sediment and nutrient loads from small watersheds for a given ecoregion in the US.
NLET (National Load Estimating Tool) is a web-based tool for estimating pollutant loads in watersheds across the contiguous United States. This tool helps visualize the effects of land use patterns, cultivated crops, and conservation practices through graphical representation.
The largest estuary in North America, the Chesapeake Bay Watershed covers 64,000 square miles and includes more than 150 rivers and streams that drain into the Bay. More than 300 species of fish, shellfish and crab species and a wide array of other wildlife call the Bay home. With almost 30 percent of area in agricultural production, the region’s over 83,000 farms generate more than $10 billion annually. This dataset includes a printer-friendly CCA map and shapefiles for GIS.
Data from: Effects of conifer treatments on soil nutrient availability and plant composition in sagebrush steppe
Conifer control in sagebrush steppe of the western United States causes various levels of site disturbance influencing vegetation recovery and resource availability. The data set presented in this article include growing season availability of soil micronutrients and levels of total soil carbon, organic matter, and N spanning a six year period following western juniper (Juniperus occidentalis spp. occidentalis) reduction by mechanical cutting and prescribed fire of western juniper woodlands in southeast Oregon. These data can be useful to further evaluate the impacts of conifer woodland reduction to soil resources in sagebrush steppe plant communities.