姚月锋, 何成新, 曾丹娟, 周翠鸣, 莫凌, 黄玉清, 徐广平. 漓江流域表层土壤水分物理性质空间异质性[J]. 水科学进展, 2016, 27(5): 696-704. DOI: 10.14042/j.cnki.32.1309.2016.05.007
引用本文: 姚月锋, 何成新, 曾丹娟, 周翠鸣, 莫凌, 黄玉清, 徐广平. 漓江流域表层土壤水分物理性质空间异质性[J]. 水科学进展, 2016, 27(5): 696-704. DOI: 10.14042/j.cnki.32.1309.2016.05.007
YAO Yuefeng, HE Chengxin, ZENG Danjuan, ZHOU Cuiming, MO Ling, HUANG Yuqing, XU Guangping. Spatial patterns of surface soil moisture and hydro-physical properties in Lijiang River watershed[J]. Advances in Water Science, 2016, 27(5): 696-704. DOI: 10.14042/j.cnki.32.1309.2016.05.007
Citation: YAO Yuefeng, HE Chengxin, ZENG Danjuan, ZHOU Cuiming, MO Ling, HUANG Yuqing, XU Guangping. Spatial patterns of surface soil moisture and hydro-physical properties in Lijiang River watershed[J]. Advances in Water Science, 2016, 27(5): 696-704. DOI: 10.14042/j.cnki.32.1309.2016.05.007

漓江流域表层土壤水分物理性质空间异质性

Spatial patterns of surface soil moisture and hydro-physical properties in Lijiang River watershed

  • 摘要: 为了解漓江流域土壤水分空间变化特征及其影响因素,基于2'经纬网格,采用地统计学方法对该流域表层(0~10 cm)土壤水分物理性质的空间变异进行分析。结果表明:从空间结构比上,漓江流域表层土壤含水量、容重、最大和最小持水量均具有高度的空间自相关性(各指标空间结构比均大于0.87),且其空间分布趋势基本一致,由流域上游向中下游逐渐变化。土地利用对流域表层土壤水分物理性质及其空间变异具有显著影响。受时间尺度和土地利用类型等因素的影响,漓江流域表层土壤含水量相比其他土壤水分物理性质,其空间异质性由随机引起的空间变异增加,空间自相关减小,为0.87;而土壤容重最大,为0.92。相关结果对于漓江流域土壤水分动态模拟与预测研究具有一定参考价值。

     

    Abstract: Spatial heterogeneity is a basic characteristic of soil moisture and hydro-physical properties. We applied geostatistical approach to assess the spatial patterns of soil moisture and hydro-physical properties to identify the distribution and variability of surface soil (0-10 cm) moisture, bulk density, and maximum and minimum water capacity and their relationships with land use changes. The surface soil moisture, soil bulk density, and maximum and minimum water capacity displayed a strong spatial autocorrelation (spatial autocorrelation coefficient >0.87). These parameters showed similar spatial distribution patterns, changing gradually from the upperstream to middle and downstream watershed. Land use changes had a significant impact on the quantities and horizontal distribution patterns of surface soil moisture and hydro-physical properties. With respect to temporal factors, land use change and random distribution of sampling effects, the spatial autocorrelation of surface soil moisture was controlled more by random factors than autocorrelation factors. This resulted in its spatial autocorrelation to be less than other surface soil hydro-physical properties. This information would be useful in spatio-temporal soil moisture modeling and prediction and vegetation rehabilitation of degraded ecosystems in Lijiang River watershed.

     

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