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中国沙漠 ›› 2010, Vol. 30 ›› Issue (2): 319-325.

• 生物土壤与生态 • 上一篇    下一篇

古尔班通古特沙漠南缘主要土壤化学特征的空间异质性

杨海峰1,2, 钱亦兵1*, 蒋 超1,2, 赵锐锋1,2   

  1. 1.中国科学院 新疆生态与地理研究所, 新疆 乌鲁木齐 830011; 2.中国科学院 研究生院, 北京 100049
  • 收稿日期:2009-09-07 修回日期:2009-11-25 出版日期:2010-03-20 发布日期:2010-03-20

Spatial Heterogeneity of Soil Chemical Properties in the South Gurbantonggut Desert

YANG Hai-feng1,2, QIAN Yi-bing1, JIANG Chao1,2, ZHAO Rui-feng1,2   

  1. 1.Xinjiang Institute of Ecology and Geography, Chinese Academy of Science, Urumqi 830011, China; 2.Graduate School of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2009-09-07 Revised:2009-11-25 Online:2010-03-20 Published:2010-03-20

摘要: 运用半方差分析和Kriging插值研究了古尔班通古特沙漠南缘典型沙垄至垄间地浅层土壤(0~30 cm)pH值、电导率、有机质及全N含量的空间变异特征。结果表明,土壤pH值、有机质及全N含量服从正态分布,电导率符合对数正态分布。半方差分析结果显示,土壤pH值、电导率符合球状模型,而有机质、全N含量符合高斯模型。除全N具有中等空间相关性外,其余的都具有强空间相关性。用Kriging插值法对未测点的参数含量进行最优估计,绘制含量分布图,从而更直观地反映研究区土壤参数空间变异特征。

关键词: 土壤理化性状, 空间变异, 半方差分析, Kringing, 古尔班通古特沙漠

Abstract: Using semivariogram analysis and the Kriging method, the paper studied the spatial variability characteristics of topsoil pH and conductivity, organic matter and total nitrogen in 0~30 cm shallow layer of two typical longitudinal dunes and thier interdunes in the south Gurbantonggut Desert. The results indicated that the top soil pH values, organic matter and total nitrogen contents accord with a normal distribution, the others accord with a lognormal distribution. Semivariogram analysis shows that topsoil pH and conductivity are best described by spherical model, and topsoil organic matter and total nitrogen contents well accord with the Gaussian model. Expect for total nitrogen content which is moderately spatial-correlative, the other soil parameters are strongly spatial-correlative. The Kriging method was applied to estimate the unmeasured points and then the isoline maps were obtained. In this way, the spatial variability of soil parameters could intuitively be reflected.

Key words: soil physical-chemical properties, spatial variability, semivariogram analysis, Kriging Interpolation, the Gurbantonggut Desert

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