Abstract. Soil moisture strongly affects the balance between nitrification, denitrification
and N2O reduction and therefore the nitrogen (N) efficiency and N
losses in agricultural systems. In rice systems, there is a need to improve
alternative water management practices, which are designed to save water and
reduce methane emissions but may increase N2O and decrease nitrogen
use efficiency. In a field experiment with three water management treatments,
we measured N2O
isotope ratios of emitted and pore air N2O
(δ15N, δ18O and site preference, SP) over the
course of 6 weeks in the early rice growing season. Isotope ratio
measurements were coupled with simultaneous measurements of pore water
NO3-, NH4+, dissolved organic carbon (DOC), water-filled pore space (WFPS) and soil redox potential (Eh) at three soil depths.
We then used the relationship between SP × δ18O-N2O and
SP × δ15N-N2O in simple two end-member
mixing models to evaluate the contribution of nitrification, denitrification
and fungal denitrification to total N2O emissions and to estimate
N2O reduction rates. N2O emissions were higher in a
dry-seeded + alternate wetting and drying (DS-AWD) treatment relative to
water-seeded + alternate wetting and drying (WS-AWD) and
water-seeded + conventional flooding (WS-FLD) treatments. In the DS-AWD
treatment the highest emissions were associated with a high contribution from
denitrification and a decrease in N2O reduction, while in the WS
treatments, the highest emissions occurred when contributions from
denitrification/nitrifier denitrification and nitrification/fungal
denitrification were more equal. Modeled denitrification rates appeared to be
tightly linked to nitrification and NO3- availability in all
treatments; thus, water management affected the rate of denitrification and
N2O reduction by controlling the substrate availability for each
process (NO3- and N2O), likely through changes in
mineralization and nitrification rates. Our model estimates of mean
N2O reduction rates match well those observed in 15N
fertilizer labeling studies in rice systems and show promise for the use of
dual isotope ratio mixing models to estimate N2 losses.