Yang Ren-Min, Zhang Gan-Lin, Yang Fei, Zhi Jun-Jun, Yang Fan, Liu Feng, Zhao Yu-Guo, Li De-Cheng
State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.
University of the Chinese Academy of Sciences, Beijing 100049, China.
Sci Rep. 2016 Feb 24;6:21842. doi: 10.1038/srep21842.
There is a need for accurate estimate of soil organic carbon (SOC) stocks for understanding the role of alpine soils in the global carbon cycle. We tested a method for mapping digitally the continuous distribution of the SOC stock in three dimensions in the northeast of the Tibetan Plateau. The approach integrated the spatial distribution of the mattic epipedon which is a special surface horizon widespread and rich in organic matter in Tibetan grasslands. Prediction models resulted in high prediction accuracy. An average SOC stock in the mattic epipedon was estimated to be 4.99 kg m(-2) in a mean depth of 14 cm. The amounts of SOC in the mattic epipedon, the upper 30 cm and 50 cm accounted for about 21%, 80% and 89%, respectively, of the total SOC stock in the upper 1 m depth. Compared with previous estimates, our approach resulted in more reliable predictions. The mattic epipedon was proven to be an important factor for modelling the realistic distribution of the SOC stock in Tibetan grasslands. Vegetation-related covariates have the most important influence on the distribution of the mattic epipedon and the SOC stock in the alpine grassland soils of northeast Tibetan Plateau.
为了解高山土壤在全球碳循环中的作用,需要准确估算土壤有机碳(SOC)储量。我们测试了一种用于在青藏高原东北部三维数字绘制SOC储量连续分布的方法。该方法整合了毡状表层的空间分布,毡状表层是青藏高原草原广泛分布且富含有机质的特殊表层。预测模型具有较高的预测精度。毡状表层的平均SOC储量在平均深度14厘米时估计为4.99千克/平方米。毡状表层、上部30厘米和50厘米的SOC含量分别约占上部1米深度总SOC储量的21%、80%和89%。与先前的估计相比,我们的方法得出了更可靠的预测结果。毡状表层被证明是模拟青藏高原草原SOC储量实际分布的重要因素。与植被相关的协变量对青藏高原东北部高寒草原土壤中毡状表层和SOC储量的分布影响最为重要。