Effects of soil dry-wet cycles and nitrogen fertilization on soil nitrous oxide emission: Simulation using the DNDC model

The major source of atmospheric nitrous oxide (N2O) is from croplands. A rapid pulse response of soil N2O emission to precipitation (PPT) is often reported, especially after a drought period. However, how precipitation pattern (i.e. frequency) and intensity, and nitrogen (N) fertilization would interactively influence soil N2O emission has not been well investigated. In this modeling study, we took advantage of a validated biogeochemical model (DNDC) in a cornfield and simulated soil N2O emission under manipulated precipitation treatments and three levels (Low, medium and high) of N application rate. The PPT treatments included precipitation pattern (from very frequent, to medium, and rare dry-wet cycles without changes in total annual precipitation) and intensity (from ambient, to -50%, +50%, and +100% ambient precipitation without changes in precipitation pattern). Results showed that both precipitation pattern and intensity, as well as nitrogen application rate had significant influences on the pulse responses and annual soil N2O emission. Very frequent dry-wet cycles tended to increase soil N2O emission while long drought-wet cycles had lower soil N2O emission, but the timing of N fertilization and precipitation also played an important role in the magnitude of pulse response and annual budget of N2O emission. As expected, soil N2O emission was higher under the high N application and lower under the low N application rate. Double precipitation (+100%) had the highest soil N2O emission, but showed no significant differences with +50% and ambient precipitation. The drought (-50%) treatment significantly reduced soil N2O emission. Annual soil N2O emission could be described as N2O=-6.7436+0.1098N+0.0049PPT, R2=0.86. Our results demonstrate that not only the intensity and pattern of precipitation greatly influence soil N2O emission, but also the timing of rainfall and N fertilization may play an important role in soil N2O pulse responses and annual N2O emission in cornfields. These modeling approaches inform our future work to deploy automated gas flux systems to validate and monitor these rapid N2O responses in the field.