Dynamics of Soil Organic Carbon Under Uncertain Climate Change and Elevated Atmospheric CO_2

作     者：LIN Zhong-Bing ZHANG Ren-Duo 

作者机构：Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation TechnologySchool of Environmental Science and EngineeringSun Yat-sen UniversityGuangzhou 510275(China) 

出 版 物：《Pedosphere》 (土壤圈（英文版）)

年 卷 期：2012年第22卷第4期

页      面：489-496页

核心收录：

学科分类：09[农学] 0903[农学-农业资源与环境] 090301[农学-土壤学] 

基　　金：Supported by the National Natural Science Foundation of China(Nos.51039007 and 51179212) the Fundamental Research Funds for the Central Universities 

主　　题：atmospheric carbon dioxide climate warming soil carbon pools soil erosion stochastic modelling 

摘      要：Climate change and elevated atmospheric CO2 should affect the dynamics of soil organic carbon （SOC）. SOC dynamics under uncertain patterns of climate warming and elevated atmospheric CO2 as well as with different soil erosion extents at Nelson Farm during 1998-100 were simulated using stochastic modelling. Results based on numerous simulations showed that SOC decreased with elevated atmospheric temperature but increased with atmospheric CO2 concentration. Therefore, there was a counteract effect on SOC dynamics between climate warming and elevated CO2. For different soil erosion extents, warming 1℃ and elevated atmospheric CO2 resulted in SOC increase at least 15%, while warming 5 ℃ and elevated CO2 resulted in SOC decrease more than 29%. SOC predictions with uncertainty assessment were conducted for different scenarios of soil erosion, climate change, and elevated CO2. Statistically, SOC decreased linearly with the probability. SOC also decreased with time and the degree of soil erosion. For example, in 2100 with a probability of 50%, SOC was 1 617, 1 167, and 892 g m^-2, respectively, for no, minimum, and maximum soil erosion. Under climate warming 5 ℃ and elevated CO2, the soil carbon pools became a carbon source to the atmosphere （P 〉 95%）. The results suggested that stochastic modelling could be a useful tool to predict future SOC dynamics under uncertain climate change and elevated CO2.