22 December 2003 Spatial variability of soils in vegetation zone of Fukang oasis
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Abstract
Soil samples collected from vegetation zone of Fukang oasis in South Junggar Basin were analyzed. The soil samples were air-dried and their PH values, electrical conductivity and total salts were analyzed in the laboratory. Soil samples were weighted and mixed with distilled water by a ratio of 1:5 after stirred and settled over night. Moisture content of soil was measured by the dry-method, PH value was measured by SM-10 digital acidity-meter, and electrical conductivity was measured by weight-method. The PH value, electrical conductivity and total salts of soil were measured from 0-10cm, 10-30cm and 30-50cm vertically. The study uses SAS software to analyze the statistical characteristic of the moisture content, electrical conductivity and total salts of the soil samples. The results show that soil properties are inhomogeneous. From the surface to below 50cm, moisture content and electrical conductivity increase successively, the change of PH value is not significant. The soil is alkalescence. In most circumstances, the data of moisture content, PH value and electrical conductivity are normally distributed. But, in the procession, soil properties influenced by systematic variance of soil properties deviated for normal distribution with various degrees. Soil moisture content, PH value and electrical conductivity do not satisfy simple linear relation at the vegetation zone of Fukang oasis. Using the method of trend surface analysis, the polynomial relation of variances (P<0.01) was obtained and found that moisture content is higher related with electrical conductivity at different depths, but the correlation between moisture content and PH value, and the correlation between PH value and electrical conductivity change with different environment factors.
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Guanghui Lu, Qingdong Shi, Xiaoling Pan, Weiqing Li, Xiwu Zhan, Shunli Chang, "Spatial variability of soils in vegetation zone of Fukang oasis", Proc. SPIE 5153, Ecosystems' Dynamics, Agricultural Remote Sensing and Modeling, and Site-Specific Agriculture, (22 December 2003); doi: 10.1117/12.511846; https://doi.org/10.1117/12.511846
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