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首页> 外文会议>International Conference on Regional Carbon Budgets; 20060816-18; Beijing(CN) >Relation of soil organic carbon to climate and site variables in China
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Relation of soil organic carbon to climate and site variables in China

机译：中国土壤有机碳与气候和场地变量的关系

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With a total of 886 data sets obtained from the 2nd National Soil Survey of China that was completed in early 1980s, the relation of soil organic carbon (SOC) concentration to climate and site variables (soil order, texture, altitude, acidity/alkalinity and land use) in zonal soils of China was investigated. Correlation analysis indicates that surface SOC concentration is in general negatively correlated with annual mean temperature (7) and positively correlated with annual mean precipitation (P) and altitude (H). SOC concentration was also generally correlated significantly with the selected site variables (soil order, texture, altitude, acidity/alkalinity and land use) and the correlation was stronger in un-cultivated soils than in cultivated soils. A further investigation suggested that multiple regression models with different combination of T, P and H could explain 41.5%-56.2% of the variability in surface SOC concentration for different geographical regions, while the driving variables are different. Variables of T and P determined surface SOM concentration in northern, northeastern and northwestern China. In eastern and southern China, variables of P and H are key factors regulating surface SOC concentration. Surface SOC concentration in southwestern China is determined by a linear combination of T, P and H. The ANOVA factorial model estimated that the contribution of site variables to the variation of SOC concentration was 24.7% in cultivated soils, 48.5% in un-cultivated soils.
机译：从1980年代初完成的第二次全国土壤调查中获得了886个数据集，土壤有机碳（SOC）浓度与气候和站点变量（土壤阶，质地，海拔，酸度/碱度和土地利用）。相关分析表明，地表SOC浓度通常与年平均温度（7）负相关，与年平均降水量（P）和海拔高度（H）正相关。 SOC浓度通常也与选定的场所变量（土壤顺序，质地，海拔，酸度/碱度和土地利用）显着相关，并且在未耕种土壤中其相关性强于在耕种土壤中。进一步的研究表明，具有不同T，P和H组合的多元回归模型可以解释不同地理区域的表面SOC浓度变化的41.5％-56.2％，而驱动变量则不同。 T和P的变量决定了中国北方，东北和西北的表面SOM浓度。在中国东部和南部，P和H的变量是调节表面SOC浓度的关键因素。通过T，P和H的线性组合确定中国西南地区的表面SOC浓度。ANOVA因子模型估计，耕地土壤位点变量对SOC浓度变化的贡献为24.7％，未耕种土壤为48.5％。 。

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