Cs. Li et al., Comparing a process-based agro-ecosystem model to the IPCC methodology fordeveloping a national inventory of N2O emissions from arable lands in China, NUTR CYCL A, 60(1-3), 2001, pp. 159-175
Nations are now obligated to assess their greenhouse gas emissions under th
e protocols of Article 4 of the United Nations Framework Convention on Clim
ate Change. The IPCC has developed `spreadsheet-format' methodologies for c
ountries to estimate national greenhouse gas emissions by economic sector.
Each activity has a magnitude and emission rate and their product is summed
over all included activities to generate a national total (IPCC, 1997). Fo
r N2O emissions from cropland soils, field studies have shown that there ar
e important factors that influence N2O emissions at specific field sites th
at are not considered in the IPCC methodology. We used DNDC, a process-orie
nted agroecosystem model, to develop an unofficial national inventory of di
rect N2O emissions from cropland in China. We assembled county-scale data o
n soil properties, daily weather, crop areas, N-fertilizer use, livestock p
opulations (for manure inputs to cropland), and agricultural management for
the 2500 counties in mainland China. Total 1990 cropland area was 0.95 mil
lion km(2). Total N-fertilizer use in China in 1990 was 16.6 Tg N. The aver
age fertilization rate was 175 kg N ha(-1) cropland. One-year simulations w
ith DNDC were run for each crop type in each county to generate estimates o
f direct N2O emissions from soils. National totals were the sum of results
for all crop simulations across all counties. Baseline simulations estimate
d that total N2O emission from arable land in China in 1990 was 0.31 Tg N2O
-N yr(-)1(.) We also ran simulations with zero N-fertilizer input; the diff
erence between the zero-fertilizer and the baseline run is an estimate of f
ertilizer-induced N2O emissions. The fertilizer-induced emission was 0.13 T
g N2O-N yr(-1,) about 0.8% of total N-fertilizer use (lower than the mean b
ut within the IPCC range of 1.25 +/-1.0%). We compared these results to our
estimates of county-scale IPCC methodology emissions. Total emissions were
similar but geographical patterns were quite different.