102311 Simulation of Nitrous Oxide Emissions from Maize Fields Using the Precision Nitrogen Management Model.

Poster Number 161-908

See more from this Division: ASA Section: Environmental Quality
See more from this Session: Agricultural Practices to Improve Nitrogen-Use Efficiency and Mitigate Greenhouse Gas Emission Poster (includes student competition)

Monday, November 7, 2016
Phoenix Convention Center North, Exhibit Hall CDE

Rebecca Marjerison, Cornell University, Cornell University-Crop & Soil Sciences, Ithaca, NY, Jeff Melkonian, Crop and Soil Sciences, Cornell University, Ithaca, NY, Shai Sela, Crop and Soil Sciences, Cornell University-Crop & Soil Sciences, Ithaca, NY, John L. Hutson, Flinders University, Adelaide, SA, Australia and Harold van Es, Emerson Hall, Rm. 235, Cornell University, Ithaca, NY
Abstract:
Maize production is the biggest source of N2O emissions from U.S. cropland but there is considerable uncertainty in these emissions estimates. Experiments to measure N2O are expensive and/or labor intensive. Effective models can be validated using measured data and subsequently allow us to predict the impacts of a wider range of management practices and climate on N2O emissions. We have developed the Precision Nitrogen Management (PNM) dynamic simulation model to estimate N leaching and gaseous losses (including total denitrification, N2O emissions from nitrification and denitrification, and ammonia volatilization) from the root zone, above-ground biomass production, and crop N uptake in maize production systems. The calibrated model was tested by comparing simulated N2O emissions to emissions data from multi-year studies representing a range of N management practices, soils and climate. Following model validation, simulations were run over many years to explore the role of land management on N2O emissions

See more from this Division: ASA Section: Environmental Quality
See more from this Session: Agricultural Practices to Improve Nitrogen-Use Efficiency and Mitigate Greenhouse Gas Emission Poster (includes student competition)