Eddy Covariance Data from Office of Naval Research Biofuel project on Maui

These data come from three eddy covariance (EC) towers that were installed as part of a project to assess the productivity of sugarcane agricultural systems for biofuel production. These towers were operated from 2011-2013 in Maui, USA. Major observational parameters include net carbon exchange, evapotranspiration, and energy fluxes.

Eddy Covariance tower establishment in Maui

Microbial community structure is affected by cropping sequences and poultry litter under long-term no-tillage

Soil microorganisms play essential roles in soil organic matter dynamics and nutrient cycling in agroecosystems and have been used as soil quality indicators. The response of soil microbial communities to land management is complex and the long-term impacts of cropping systems on soil microbes is largely unknown. Therefore, changes in soil bacterial community composition were assessed in response to cropping sequences and bio-covers at long-term no-tillage sites.

Agroecosystems & Environment

Data from: Soil organic carbon and isotope composition response to topography and erosion in Iowa

The dataset includes topographic information, soil properties, and 137Cs levels collected from a 15 ha cropland under soybean/maize (C3/C4) rotation in June 2002. The cropland is located in the central-western part of the Walnut Creek watershed, Story County, Iowa. 128 sampling locations were collected and three soil samples were obtained using a 3.2 cm-diameter push probe from the 0 to 30 cm soil layer within a 1 m × 1 m quadrat at each sampling location. Deeper soil samples were collected from 30 to 50 cm layers in locations where sediment deposition was observed. The three samples from each sampling location were mixed and analyzed to determine soil properties, SOC content and its carbon (C) isotope composition (C12 to C13 ratio), and 137Cs levels. For landscape topography of each sampling location, topographic metrics were derived from a digital elevation mode using LiDAR (Light Detection and Ranging) data. These data are useful in investigating the fate of eroded SOC in croplands and its responses to landscape topography.

Agroecosystems & Environment

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.

DairyCAP logo

Agricultural Collaborative Research Outcomes System (AgCROS)

This application represents the public facing presence for Greenhouse Gas Reduction through Agricultural Carbon Enhancement Network (GRACEnet) and Resilient Economic Agricultural Practices (REAP). Other projects such as Agricultural Antibiotic Resistance (AgAR), Nutrient Use and Outcome Network (NUOnet), Long-Term Agroecosystem Research (LTAR), and others will be added to this application in the future.

Long-term Agro-ecosystem Research Initiative

Data from: U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2013

The report 'U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2013' serves to estimate U.S. GHG emissions for the agricultural sector, to quantify uncertainty in emission estimates, and to estimate the potential of agriculture to mitigate U.S. GHG emissions. This dataset contains zipped, tabulated data from the figures and tables, and maps of the entire 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. Please refer to the report for full descriptions of and notes on the data.

cover for U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2013

Data from: Chapter 5- Energy Use in Agriculture. U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2013

The report 'U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2013' serves to estimate U.S. GHG emissions for the agricultural sector, to quantify uncertainty in emission estimates, and to estimate the potential of agriculture to mitigate U.S. GHG emissions. This dataset contains tabulated data from the figures and tables presented in Chapter 5, Energy Use in Agriculture, of the report. Data are presented for carbon dioxide emissions from on-farm energy use.

Data from: Chapter 4- Carbon Stocks & Stock Changes in U.S. Forests. U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2013

The report 'U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2013' serves to estimate U.S. GHG emissions for the agricultural sector, to quantify uncertainty in emission estimates, and to estimate the potential of agriculture to mitigate U.S. GHG emissions. This dataset contains tabulated data from the figures and tables presented in Chapter 4, Carbon Stocks & Stock Changes in U.S. Forests, of the report. Data are presented for above and below-ground carbon stocks and stock changes.

Data from: Chapter 3- Cropland Agriculture. U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2013

The report 'U.S. Agriculture and Forestry Greenhouse Gas Inventory: 1990-2013' serves to estimate U.S. GHG emissions for the agricultural sector, to quantify uncertainty in emission estimates, and to estimate the potential of agriculture to mitigate U.S. GHG emissions. This dataset contains tabulated data from the figures and tables presented in Chapter 3, Cropland Agriculture, of the report. Data are presented for Cropland Soils (N2O), Rice Cultivation + Residue Burning (CH4 + N2O), and Agricultural Soil Carbon and Amendments (CO2).