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作 者:王秋兵[1] 段迎秋[1] 魏忠义[1] 韩春兰[1] 孔令苏[1] 窦立珠[1]
机构地区:[1]沈阳农业大学土地与环境学院,辽宁沈阳110161
出 处:《土壤通报》2009年第2期252-257,共6页Chinese Journal of Soil Science
基 金:国家自然科学基金项目(40235054);辽宁省自然科学基金项目(2040520)资助
摘 要:利用地统计学和地理信息系统(GIS)相结合的方法研究了沈阳市城区土壤(0~10cm)有机碳(总有机碳、颗粒态有机碳、易氧化态碳和碳黑)含量的空间变异性特征,绘制了有机碳含量的空间分布图。结果表明:土壤有机碳各项指标均符合偏态分布,经过对数转换后符合正态分布,变异函数的最佳理论模型都为线性模型,总有机碳、颗粒态有机碳、易氧化态有机碳和碳黑都具有强烈的空间变异性(C0与C0+C的比值分别为98.1%、100%、97.1%、99.0%),空间自相关距离分别为16.861km、21.805km,15.010km,18.735km。其中颗粒态碳表现出纯块金效应,不具有空间相关性。土壤有机碳空间变异性主要是由随机性因素(人类活动等)引起。所得结果可为城郊土壤的合理利用以及保护城市环境提供依据。Geostatistics combined with Geographical Information System (GIS) was applied to reveal the spatial varibility of organic carbon inclucling total organic carbon, particulate carbon, readily oxidizable organic carbon and black carbon in the top soil (0-10cm) in Shenyang City, and the spatial distribution maps were drawn up. The results showed that the indicators of soil organic carbon were in line with skewed distribution, after the logarithm transform conformed to the normal distribution. The theoretical semivariogram models of total organic carbon, particulate carbon, readily oxidizable organic carbon and black carbon were best described with a liner model, and it was found that spatial variabilities of all soil organic carbon indicators were significant (The ratios of nugget to sill of those availables were 98.1%,100%,97.1%,99.0%). And the spatial autocorrelation distances for them were 16.861km, 21.805 km, 15.010km and 18.735km, respectively. Particulate carbon displayed the pure block gold effect and non-spatial correlation. The spatial variability of soil organic carbon mainly was caused by the randomness (human activities, etc). The results could provide the basis for the reasonable use of urban soilt.
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