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镉在超富集植物滇苦菜叶子中细胞耐受性,镉的积累和分配研究
作者姓名:HU Peng-Jie  GAN Yuan-Yuan  TANG Ye-Tao  ZHANG Quan-Fang  JIANG Dan  YAO Nan  QIU Rong-Liang
作者单位:School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275 (China);School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275 (China);School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275 (China);Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Guangzhou 510275 (China);School of Life Sciences, Sun Yat-sen University, Guangzhou 510275 (China);Instrumental Analysis and Research Center, Sun Yat-sen University, Guangzhou 510275 (China);School of Life Sciences, Sun Yat-sen University, Guangzhou 510275 (China);School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275 (China)
基金项目:Supported by the National Natural Science Foundation of China(Nos.51039007 and 51179212);the Fundamental Research Funds for the Central Universities
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 1998-2100 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 C and elevated atmospheric CO2 resulted in SOC increase at least 15%, while warming 5 C 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 C 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 .

关 键 词:atmospheric  carbon  dioxide  climate  warming  soil  carbon  pools  soil  erosion  stochastic  modelling
收稿时间:8 March 2012

Cellular tolerance, accumulation and distribution of cadmium in leaves of hyperaccumulator Picris divaricata
HU Peng-Jie,GAN Yuan-Yuan,TANG Ye-Tao,ZHANG Quan-Fang,JIANG Dan,YAO Nan,QIU Rong-Liang.Cellular tolerance, accumulation and distribution of cadmium in leaves of hyperaccumulator Picris divaricata[J].Pedosphere,2012,22(4):497-507.
Authors:HU Peng-Jie  GAN Yuan-Yuan  TANG Ye-Tao  ZHANG Quan-Fang  JIANG Dan  YAO Nan and QIU Rong-Liang
Institution:Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou 510275 (China);Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou 510275 (China)
Abstract: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--2100 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 °C and elevated atmospheric CO2 resulted in SOC increase at least 15%, while warming 5 °C 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 were 1 617, 1 167, and 892 g m-2, respectively, for no, minimum, and maximum soil erosion. Under climate warming 5 °C 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.
Keywords:atmospheric carbon dioxide  climate warming  soil carbon pools  soil erosion  stochastic modelling
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