Modeling greenhouse gas emissions from rice-based production systems: Sensitivity and upscaling
文献类型：期刊论文
| 作者 | Li, CS; Mosier, A; Wassmann, R; Cai, ZC; Zheng, XH; Huang, Y; Tsuruta, H; Boonjawat, J; Lantin, R |
| 刊名 | GLOBAL BIOGEOCHEMICAL CYCLES
 |
| 出版日期 | 2004-03-25 |
| 卷号 | 18期号:1页码:19 |
| ISSN号 | 0886-6236 |
| DOI | 10.1029/2003GB002045 |
| 通讯作者 | Li, CS(changsheng.li@unh.edu) |
| 英文摘要 | [1] A biogeochemical model, Denitrification-Decomposition ( DNDC), was modified to enhance its capacity of predicting greenhouse gas (GHG) emissions from paddy rice ecosystems. The major modifications focused on simulations of anaerobic biogeochemistry and rice growth as well as parameterization of paddy rice management. The new model was tested for its sensitivities to management alternatives and variations in natural conditions including weather and soil properties. The test results indicated that ( 1) varying management practices could substantially affect carbon dioxide (CO2), methane (CH4), or nitrous oxide (N2O) emissions from rice paddies; (2) soil properties affected the impacts of management alternatives on GHG emissions; and ( 3) the most sensitive management practices or soil factors varied for different GHGs. For estimating GHG emissions under certain management conditions at regional scale, the spatial heterogeneity of soil properties (e.g., texture, SOC content, pH) are the major source of uncertainty. An approach, the most sensitive factor (MSF) method, was developed for DNDC to bring the uncertainty under control. According to the approach, DNDC was run twice for each grid cell with the maximum and minimum values of the most sensitive soil factors commonly observed in the grid cell. The simulated two fluxes formed a range, which was wide enough to include the "real'' flux from the grid cell with a high probability. This approach was verified against a traditional statistical approach, the Monte Carlo analysis, for three selected counties or provinces in China, Thailand, and United States. Comparison between the results from the two methods indicated that 61-99% of the Monte Carlo-produced GHG fluxes were located within the MSA-produced flux ranges. The result implies that the MSF method is feasible and reliable to quantify the uncertainties produced in the upscaling processes. Equipped with the MSF method, DNDC modeled emissions of CO2, CH4, and N2O from all of the rice paddies in China with two different water management practices, i.e., continuous flooding and midseason drainage, which were the dominant practices before 1980 and in 2000, respectively. The modeled results indicated that total CH4 flux from the simulated 30 million ha of Chinese rice fields ranged from 6.4 to 12.0 Tg CH4-C per year under the continuous flooding conditions. With the midseason drainage scenario, the national CH4 flux from rice agriculture reduced to 1.7 - 7.9 Tg CH4-C. It implied that the water management change in China reduced CH4 fluxes by 4.2 - 4.7 Tg CH4-C per year. Shifting the water management from continuous flooding to midseason drainage increased N2O fluxes by 0.13 - 0.20 Tg N2O-N/yr, although CO2 fluxes were only slightly altered. Since N2O possesses a radiative forcing more than 10 times higher than CH4, the increase in N2O offset about 65% of the benefit gained by the decrease in CH4 emissions. |
| 收录类别 | SCI |
| WOS关键词 | NITROUS-OXIDE EMISSIONS ; METHANE EMISSION ; WATER MANAGEMENT ; N2O EMISSIONS ; WETLAND RICE ; NORTHERN-HEMISPHERE ; ATMOSPHERIC METHANE ; DRAMATIC DECREASE ; CROPPING SYSTEMS ; ORGANIC-CARBON |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Meteorology & Atmospheric Sciences |
| WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000220621700001 |
| 出版者 | AMER GEOPHYSICAL UNION |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2559305 |
| 专题 | 南京土壤研究所 |
| 通讯作者 | Li, CS |
| 作者单位 | 1.Univ New Hampshire, Inst Study Earth Oceans & Space, Durham, NH 03824 USA 2.Chulalongkorn Univ, SE Asia START Reg Ctr, Bangkok 10330, Thailand 3.Chinese Acad Sci, Inst Soil Sci, Nanjing, Peoples R China 4.Nanjing Univ Agr, Coll Agr Environm, Nanjing, Peoples R China 5.Int Rice Res Inst, Manila 1099, Philippines 6.USDA ARS, Ft Collins, CO 80526 USA 7.Natl Inst Agr Enviornm Sci, Tsukuba, Ibaraki, Japan 8.Forschungszentrum Karlsruhe, Inst Meteorol & Climate Res, D-82467 Garmisch Partenkirchen, Germany 9.Chinese Acad Sci, Inst Atmospher Phys, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, CS,Mosier, A,Wassmann, R,et al. Modeling greenhouse gas emissions from rice-based production systems: Sensitivity and upscaling[J]. GLOBAL BIOGEOCHEMICAL CYCLES,2004,18(1):19. |
| APA | Li, CS.,Mosier, A.,Wassmann, R.,Cai, ZC.,Zheng, XH.,...&Lantin, R.(2004).Modeling greenhouse gas emissions from rice-based production systems: Sensitivity and upscaling.GLOBAL BIOGEOCHEMICAL CYCLES,18(1),19. |
| MLA | Li, CS,et al."Modeling greenhouse gas emissions from rice-based production systems: Sensitivity and upscaling".GLOBAL BIOGEOCHEMICAL CYCLES 18.1(2004):19. |
入库方式： iSwitch采集
来源：南京土壤研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。