Abstract. Efforts to develop effective climate mitigation
strategies for agriculture require methods to estimate nitrous oxide
(N2O) emissions from soil. Process-based biogeochemical models have
been often used for field- and large-scale estimates, while the sensitivity
and uncertainty of model applications to incubation experiments are less
investigated. In this study, a process-oriented model (CoupModel) was used
to simulate N2O and CO2 fluxes and soil mineral nitrogen (N)
contents in a short-term (43 d) factorial incubation experiment (16
treatments). A global sensitivity analysis (GSA) approach, “Morris
screening”, was applied to quantify parameter sensitivity. The GSA
suggested that a higher number of sensitive parameters was associated with
N2O flux estimates and that inter-treatment variations in parameter
sensitivities were distinguished by soil moisture levels or NO3- content and residue types. Important parameters regarding N2O flux
estimates were linked to the decomposability of soil organic matter (e.g.,
organic C pool sizes) and the denitrification process (e.g., Michaelis
constant and denitrifier respiratory rates). After calibration, the model
better captured temporal variations and magnitude of gas fluxes and mineral
N in unamended soils than in residue-amended soils. Low-magnitude daily and
cumulative N2O fluxes were well simulated with mean errors (MEs) close
to zero, but the model tended to underestimate N2O fluxes, as observed
daily values increased by over 0.1 g N m−2 d−1, in which the major
mismatch was due to limited success of the model to describe the high
emissions during the first few days after crop residue addition. A larger
uncertainty was also seen in the magnitude of pulse emissions by the
posterior simulations. We also evaluated ancillary variables regarding N
cycling, which indicated that more frequent measurements and additional
types of observed data such as soil oxygen content and the microbial sources
of emitted N2O are required to further evaluate model performance and
biases. The major challenges for calibration were associated with high
sensitivities of denitrification parameters to initial soil abiotic
conditions and the instantaneous residue amendment. Model structure
uncertainties and improved modeling practices in the context of incubation
experiments were discussed.