| A case study of spatial heterogeneity of soil moisture in the Loess Plateau, western China： A geostatistical approach |
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| 作者单位： | BI Huaxing(College of Soil and Water Conservation,Beijing Forestry University,Beijing 100083,China;Key Laboratory of Soil and Water Conservation and Desertification Combating,Ministry of Education,Beijing 100083,China;Ji-xian National Ecological Station of China,Beijing,100083,China);LI Xiaoyin,LIU Xin,GUO Mengxia,LI Jun(College of Soil and Water Conservation,Beijing Forestry University,Beijing 100083,China)
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| 基金项目： | Chinese National Scientific and Technology Program，National Fundamental Research Project，Beijing Municipal Education Commission |
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| 摘 要： | Soil moisture distribution shows highly variation both spatially and temporally. This study assesses the spatial heterogeneity of soil moisture on a hill-slope scale in the Loess Plateau in West China by using a geostatistical approach. Soil moisture was measured by time-domain reflectometry （TDR） in 313 samples. Two kinds of sampling scales were used （2 × 2 m and 20 ×20 m） at two soil layers （0-30 cm and 30-60 cm）. The general characteristics of soil moisture were analyzed by a classical statistics method, and the spatial heterogeneity of soil moisture was analyzed using a geostatistical approach. The results showed that the spherical model is the best-fit model to simulate soil moisture on the experimental hill-slope. The parameters of this model indicated that the spatial dependence of soil moisture in the selected hill-slope was moderate. Even the 2 × 2 m sampling scale was too coarse to show the detailed spatial variances of soil moisture in this area. The dependent distance increased from 27.4 m to 494.16 m as the sampling scale became coarse （from 2× 2 m to 20 ×20 m）. A map of soil moisture was generated by using original soil moisture data and interpolated values determined by the Kriging method. The average soil moisture （area weighted） in the different layers of soil was calculated on the basis of this map （10.94% for the 0-30 cm soil layer, 11.88% for the 30-60 cm soil layer）. This average soil moisture is lower than the corresponding average effective soil moisture, which suggests that the soil moisture is not sufficient to support vegetation in this area.
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| 关 键 词： | 土壤水分分布 空间异质性 地质统计方法 黄土高原 西部地区 地统计学方法 土壤水分利用 土壤含水量 |
A case study of spatial heterogeneity of soil moisture in the Loess Plateau,western China:A geostatistical approach |
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| Authors: | BI Huaxing LI Xiaoyin LIU Xin GUO Mengxia LI Jun Prof College of Soil Water Conservation Beijing Forestry University Beijing China Key Laboratory of Soil Water Conservation Desertification Combating Ministry of Education China Researcher Ji-xian National Ecological Station of China China Graduate student |
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| Institution: | [1]Prof., College of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China [2]Key Laboratory of Soil and Water Conservation and Desertification Combating, Ministry of Education, Beijing 100083, China [3]Researcher, Ji-xian National Ecological Station of China, Beijing 100083, China [4]Graduate student, College of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China |
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| Abstract: | Soil moisture distribution shows highly variation both spatially and temporally.This study assesses the spatial heterogeneity of soil moisture on a hill-slope scale in the Loess Plateau in West China by using a geostatistical approach.Soil moisture was measured by time-domain reflectometry (TDR) in 313 samples.Two kinds of sampling scales were used (2 × 2 m and 20 × 20m) at two soil layers (0-30 cm and 30-450 cm).The general characteristics of soil moisture were analyzed by a classical statistics method,and the spatial heterogeneity of soil moisture was analyzed using a geostatistical approach.The results showed that the spherical model is the best-fit model to simulate soil moisture on the experimental hill-slope.The parameters of this model indicated that the spatial dependence of soil moisture in the selected hill-slope was moderate.Even the 2 × 2 m sampling scale was too coarse to show the detailed spatial variances of soil moisture in this area.The dependent distance increased from 27.4 m to 494.16 m as the sampling scale became coarse (from 2 ×2 m to 20 × 20 m).A map of soil moisture was generated by using original soil moisture data and interpolated values determined by the Kriging method.The average soil moisture (area weighted) in the different layers of soil was calculated on the basis of this map (10.94% for the 0-30 cm soil layer,11.88% for the 30-60 em soil layer).This average soil moisture is lower than the corresponding average effective soil moisture,which suggests that the soil moisture is not sufficient to support vegetation in this area. |
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| Keywords: | Spatial heterogeneity Soil moisture Geostatisties Loess Plateau of China |
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