Comparison of three modeling approaches for simulating denitrification and nitrous oxide emissions from loam-textured arable soils

被引:72
作者
Li, Y
Chen, DL
Zhang, YM
Edis, R
Ding, H
机构
[1] Univ Melbourne, Fac Land & Food Resources, Sch Resource Management, Melbourne, Vic, Australia
[2] Chinese Acad Sci, Inst Genet & Dev Biol, Shijiazhuang 050021, Peoples R China
[3] Fujian Acad Agr Sci, Ctr Biol & Environm Res, Fujian 350003, Peoples R China
关键词
D O I
10.1029/2004GB002392
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
[1] Soil denitrification fluxes and nitrous oxide (N2O) emissions from the soil surface simulated by a Water and Nitrogen Management Model (WNMM), with three different gas modules, are compared to measurement data sets from two irrigated wheat-maize systems at two locations in the North China Plain (NCP) ( 2 years of measurement at the Luancheng site and 1 year of measurement at the Fengqiu site). The three gas modules are the WNMM gas module, the DAYCENT gas module, and the DNDC gas module. The term gas module used in this paper refers to the model component which simulates N2O emission from the processes of soil nitrification and denitrification. Soil water, temperature, organic matter decomposition, other nitrogen (N) transformations, such as mineralization and immobilization, and crop growth are simulated by the WNMM platform. For the 2-year data set from Luancheng, the three gas modules generate similar soil mineral N dynamics in the 0 - 20 cm topsoil. The daily time step, simply structured WNMM gas module consistently performs the best among the three gas modules for predicting soil denitrification fluxes (R-2 = 0.28, n = 39, p = 0.0006) and N2O emissions (R-2 = 0.45, n = 36, p < 0.0001). Up to 73, 43, and 22% of total N2O emissions are nitrification-induced as simulated by the DNDC, DAYCENT, and WNMM gas modules respectively, in this well-drained loam soil during the 2-year simulation. When applied to the 1-year data set at the Fengqiu site, the WNMM gas module consistently performs better in estimating N2O emissions (R-2 = 0.54, n = 35, p < 0.0001) compared to the other two modules. Simulations using the DNDC and DAYCENT gas modules explain over 40% of the temporal variation of N2O emission from the soil. Further testing on different soils and different agroecosystems is needed to confirm the superior performance of the WNMM gas module observed in this simulation study.
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页码:1 / 15
页数:19
相关论文
共 52 条
[1]  
[Anonymous], ASA SPECIAL PUBLICAT
[2]  
[Anonymous], 1995, Climate Change 1994
[3]  
ARNOLD JG, 1993, CONTINUOUS TIME GRID
[4]   Gaseous nitrogen losses from urea applied to maize on a calcareous fluvo-aquic soil in the North China Plain [J].
Cai, G ;
Chen, D ;
White, RE ;
Fan, XH ;
Pacholski, A ;
Zhu, ZL ;
Ding, H .
AUSTRALIAN JOURNAL OF SOIL RESEARCH, 2002, 40 (05) :737-748
[5]  
CHEN D, 1996, SOIL SCI RAISING PRO, V2, P41
[6]   Predicting N2O emissions from agricultural land through related soil parameters [J].
Conen, F ;
Dobbie, KE ;
Smith, KA .
GLOBAL CHANGE BIOLOGY, 2000, 6 (04) :417-426
[7]  
CRUTZEN P J, 1977, Ambio, V6, P112
[9]  
Davidson E. A., 1991, Microbial production and consumption of greenhouse gases: methane, nitrogen oxides, and halomethanes., P219
[10]  
DAWES WR, 1993, 9318 CSIRO DIV WAT R