中文摘要：

2011年8—10月采用嵌套的网格化方法布点,利用土壤时域反射仪连续测定了小兴安岭阔叶红松混交林不同大小林隙内不同深度的土壤水分,并根据地统计学原理与方法分析其空间异质性.结果表明：研究区中林隙的土壤含水量最丰富,其次是大林隙和小林隙;大林隙空间样点的土壤水分极差最大,其次是中林隙和小林隙;大、中、小林隙各深度土壤含水量的块金值分别为0.001～0.404、0.001～0.273、0.001～0.261.随机部分引起的土壤水分异质性和系统总的空间异质性程度依次为大林隙〉中林隙〉小林隙.中林隙土壤水分的空间分布格局最复杂,大林隙土壤水分格局变异的空间依赖性最强;中林隙高等级土壤水分斑块（土壤含水量为50%～60%）占据的面积最大,其次是大林隙,小林隙没有最高等级斑块的分布.对于相同月份、相同深度的土壤含水量,小林隙等级分布最简单,大林隙和中林隙则相对复杂;土壤含水量最大值随着林隙的增大而增大.

英文摘要：

In August-October 2011, the soil water content （SWC） at different depths in different sized gaps in Pinus koraiensis-dominated broad-leaved mixed forest of Xiaoxing＇ an Mountains, Northeast China was continuously measured by grid nesting method and time domain reflectometry （ TDR）, and the spatial heterogeneity of the SWC was analyzed by the principles and approaches of geostatistics. The SWC was most abundant in medium gap, followed by in large gap and in small gap whereas the maximum difference of SWC was the biggest in large gap, followed by in medium gap, and in small gap. The variation range of the nugget of SWC at different depths in the large, medium, and small gaps was 0.001-0. 404, 0.001-0. 273, and 0.001-0. 261, respectively. The SWC heterogeneity resulted from random part and the total system SWC spatial heterogeneity were decreased in the order of large gap 〉 medium gap 〉 small gap. The spatial distribution pattern of SWC was most complicated in medium gap, while the spatial dependence in the variation of the SWC pattern was the strongest in large gap. High-grade patches （SWC was 50% -60% ） occupied the largest area in medium gap, followed by in large gap, and there was no high-grade patch in small gap. As for the SWC at same depths and in same months, its grade distribution was most sim- ple in small gap, but relatively complicated in large and medium gaps. The maximum value of SWC increased with increasing gap size.