Jian-Bing Wei, Du-Ning Xiao, Xing-Yi Zhang, Xiu-Zhen Li, Xiao-Yu Li
Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China.
Environ Monit Assess. 2006 Oct;121(1-3):597-613. doi: 10.1007/s10661-005-9158-5. Epub 2006 Jun 13.
A total of 292 soil samples were taken from surface soil (0-20 cm) of a typical small watershed-Tongshuang in the black soil region of Heilongjiang province, northeast China in June 2005 for examining the concentration of soil organic carbon (SOC). Spatial variability of SOC in relation to topography and land use was evaluated using classical statistics, geostatistics and geographic information system (GIS) analyses. The objective of this study was to provide a scientific basis for land management targeting at improving soil quality in this region. Classical statistical analysis results indicated that the variability of SOC was moderate (C (V) = 0.30). Slope position and land use types were discriminating factors for its spatial variability. Geostatistics analyses showed that SOC had a strong spatial autocorrelation, which was mainly induced by structural factors. Mean concentration of SOC in surface soil was 2.27% in this watershed, which was a very low level in the northern black soil region of northeast China. In this small watershed, present soil and water conservation measures played an important role in controlling soil loss. But SOC's restoration was unsatisfactory. Nearly three-quarters of the area had worrisome productivity. How to improve SOC concentration targeting at soil fertility is a pressing need in the future.
2005年6月,在中国东北黑龙江省黑土区一个典型的小流域——通双,从表层土壤(0 - 20厘米)采集了共计292个土壤样本,用于检测土壤有机碳(SOC)浓度。利用经典统计学、地统计学和地理信息系统(GIS)分析评估了SOC与地形和土地利用相关的空间变异性。本研究的目的是为该地区以改善土壤质量为目标的土地管理提供科学依据。经典统计分析结果表明,SOC的变异性为中等(变异系数C(V)=0.30)。坡位和土地利用类型是其空间变异性的区分因素。地统计学分析表明,SOC具有很强的空间自相关性,这主要由结构因素引起。该流域表层土壤中SOC的平均浓度为2.27%,在中国东北北部黑土区处于非常低的水平。在这个小流域,目前的水土保持措施在控制土壤流失方面发挥了重要作用。但SOC的恢复情况并不理想。近四分之三的区域生产力令人担忧。未来迫切需要针对土壤肥力提高SOC浓度。