Modeling Carbon Dynamics in Paddy Soils in Jiangsu Province of China with Soil Databases Differing in Spatial Resolution  

作　　者：XU Sheng-Xiang SHI Xue-Zheng ZHAO Yong-Cun YU Dong-Sheng WANG Shi-Hang ZHANG Li-Ming C. S. LI TAN Man-Zhi 

机构地区：[1]State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008 （China） [2]Graduate University of Chinese Academy of Sciences, Beijing 100049 （China） [3]College of Environmental and Resource Sciences, Fujian Agriculture and Forestry University, Fujian 350002 （China） [4]Institute for the Study of Earth, Oceans and Space, Complex Systems Research Center, University of New Hampshire, Durham, NH03824 （USA）

出　　处：《Pedosphere》2011年第6期696-705,共10页土壤圈（英文版）

基　　金：Supported by the Knowledge Innovation Program of Chinese Academy of Sciences(Nos.KZCX2-YW-Q1-07 and KZCX2-YW-Q1-15);the National Basic Research Program(973 Program)of China(No.2010CB950702);the Strategic Priority Research Program of Chinese Academy of Sciences(No.XDA05050509)

摘　　要：A number of process-based models have been developed for quantifying carbon(C)sequestration in agro-ecosystems.The DeNitrification-DeComposition(DNDC)model was used to simulate and quantify long-term(1980-2008)soil organic carbon(SOC)dynamics in the important rice-producing province,Jiangsu,China.Changes in SOC storages were estimated from two soil databases differing in spatial resolution:a county database consisting of 68 polygons and a soil patch-based database of 701 polygons for all 3.7 Mha of rice fields in Jiangsu.The simulated SOC storage with the coarse resolution county database ranged between 131.0-320.6 Tg C in 1980 and 170.3-305.1 Tg C in 2008,respectively,while that estimated with the fine resolution database was 201.6 and 216.2 Tg C in 1980 and 2008,respectively.The results modeled with the soil databases differing in spatial resolution indicated that using the soil input data with higher resolution substantially increased the accuracy of the modeled results;and when lacking detailed soil datasets,the DNDC model,parameterized with the most sensitive factor(MSF) method to cope with attribute uncertainty,could still produce acceptable results although with deviations of up to 60% for the case study reported in this paper.A number of process-based models have been developed for quantifying carbon （C） sequestration in agro-ecosystems. The DeNitrification-DeComposition （DNDC） model was used to simulate and quantify long-term （1980-2008） soil organic carbon （SOC） dynamics in the important rice-producing province, Jiangsu, China. Changes in SOC storages were estimated from two soil databases differing in spatial resolution： a county database consisting of 68 polygons and a soil patch-based database of 701 polygons for all 3.7 Mha of rice fields in Jiangsu. The simulated SOC storage with the coarse resolution county database ranged between 131.0-320.6 Tg C in 1980 and 170.3-305.1 Tg C in 2008, respectively, while that estimated with the fine resolution database was 201.6 and 216.2 Tg C in 1980 and 2008, respectively. The results modeled with the soil databases differing in spatial resolution indicated that using the soil input data with higher resolution substantially increased the accuracy of the modeled results; and when lacking detailed soil datasets, the DNDC model, parameterized with the most sensitive factor （MSF） method to cope with attribute uncertainty, could still produce acceptable results although with deviations of up to 60% for the case study reported in this paper.

关 键 词：1：1 000000 soil map C sequestration rate DeNitrification-DeComposition （DNDC） greenhouse gas soil organic carbon （SOC） 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置] S159.2[自动化与计算机技术—控制科学与工程]