240-12 Evaluation of a Microbial Denitrification Model in the Environmental Policy Integrated Climate Model.

Poster Number 245

See more from this Division: ASA Section: Climatology & Modeling
See more from this Session: General Agroclimatology and Agronomic Modeling: II
Tuesday, November 4, 2014
Long Beach Convention Center, Exhibit Hall ABC
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Curtis D Jones, University of Maryland, Washington, DC, R Cesar Izaurralde, University of Maryland, University of Maryland, College Park, MD, William McGill, 3333 University Way, University of Northern British Columbia, Prince George, BC, Canada, David Manowitz, Pacific Northwest National Laboratory, College Park, MD and G Philip Robertson, 3700 E Gull Lake Dr, Michigan State University, Hickory Corners, MI
Poster Presentation
  • EPIC tri societies updated.pdf (1.1 MB)
  • Nitrous oxide (N2O) is a potent greenhouse gas for which agriculture is the dominant source of global anthropogenic emissions. Agricultural N2O emissions are strongly influenced by nitrogen management practices such as the timing, rate, type, and placement of nitrogen fertilizer applications as well as tillage, irrigation, drainage, and crop rotation. Due to the complexity of these systems, models can be useful tools for understanding and predicting site-specific responses to different management practices, as well as scaling up production to quantify emissions impacts at regional, national, or global scales. To this end, a new denitrification model was recently added to the Environmental Policy Integrated Climate (EPIC) model. The added model takes advantage of existing soil water and soil carbon and nitrogen cycling routines in EPIC to implement a microbial based denitrification model. The model was evaluated using data from the main cropping system experiment at the Kellogg Biological Station Long Term Ecological Research Site (42°24’ N, 85°24’ W) in southwestern Michigan. The experiment used for model evaluation has been under a conventionally managed no-till corn (Zea mays)-soybean (Glycine max)-winter wheat (Triticum aestivum) rotation since the experiment was established in 1989. The model was evaluated against field measured N2O surface fluxes, soil moisture dynamics, soil nitrogen dynamics, soil carbon dynamics, and crop yield, providing a long-term and holistic evaluation of a model for a complex and interactive system.
    See more from this Division: ASA Section: Climatology & Modeling
    See more from this Session: General Agroclimatology and Agronomic Modeling: II