『Abstract
Nitrous oxide (N2O), one of the primary
green house gases (GHG), is an important contributor to the radiative
forcing and chemistry of the atmosphere. Nitrous oxide emissions
from soil are mainly due to denitrification. In this paper, we
test sub-modules in the APSIM and DAYCENT models to simulate denitrification.
The models were tested by comparison of predicted and measured
N2O emission from an incubation experiment
using 8.2 L soil cores. The N gas sub-modules in DAYCENT were
based on the leaky pipe metaphor, that is, total N gas emissions
are proportional to N cycling and gas diffusivity in the soil
determines the relative amounts of N gas species emitted. The
same approach was added to APSIM to enable simulation of N2O emission. The soil monoliths were irrigated
three times during a two-week period and set on tension tables
to control the suction at the base of each core. The results show
that APSIM underestimates denitrification, whereas DAYCENT better
predicted N2O emission from denitrification.
In contrast, prediction of CO2 emissions
were better from APSIM than DAYCENT. Modification to the temperature
response for denitrification in APSIM improved the simulation
significantly. The use of multiple soil layers in the simulations
improved predictions, especially at low soil moisture content.
Under these conditions, the layered approach better captures the
impact of soil moisture distribution. Reducing the time step to
hourly improve the prediction of N2O peaks
and the daily total emissions, but there were still temporal mismatches
between simulated and observed values. The denitrification algorithms
in DAYCENT, combined with APSIM simulated CO2,
together with an hourly time step and a layered approach, produced
the best results. These results highlight the need for improvement
to the APSIM denitrification sub-model/
Keywords: nitrous oxide emission; APSIM; DAYCENT; Decomposition;
CO2 flux』
1. Introduction
2. Material and methods
2.1. The incubation experiment
2.2. Modelling of nitrification and denitrification in APSIM
2.3. Modelling of nitrification, denitrification and N2O
emission in DAYCENT
2.4. Simulation of N2O emission in the incubation
experiment using DAYCENT and APSIM
2.5. Calculation of NO3-N movement and drainage
at the bottom of the cores
3. Results
3.1. Soil moisture and drainage
3.2. NO3 and NH4 concentration
in soil solution
3.3. Soil heterotrophic respiration
3.4. Nitrous oxide emissions from denitrification
3.5. Layered simulations on gas emissions
3.6. Simulations with hourly and daily time steps
4. Discussion
5. Conclusion
Acknowledgement
References