利用地统计学方法，依据时滞分类标准对大兴安岭呼中林区地表死可燃物进行了对比研究.结果表明：一级地表死可燃物表现为强烈的空间自相关性，占总地表死可燃物载荷量的55.54%，平均载荷量为762.35 g·m-2，其载荷量的决定因素是林分因子和立地年龄；二、三级地表死可燃物的平均载荷量之和为610.26 g·m-2，具有较弱的空间自相关性，其载荷量的决定因素为干扰历史.地表死可燃物类型和数量影响因素的复杂性和空间异质性是造成插值精度不高的主要原因，但采用实地调查数据，并结合地统计学方法，可快速准确地计算出地表死可燃物载荷量的空间分布格局，可间接为林业管理提供依据.
By using geostatistics and based on timelag classification standard, a comparative study was made on the land surface dead combustible fuels in Huzhong forest area in Great Xing’an Mountains. The results indicated that the first level land surface dead combustible fuel, i.e., 1 h timelag dead fuel, presented stronger spatial auto-correlation, with an average of 762.35 g·m-2 and contributing to 55.54% of the total load. Its determining factors were species composition and stand age. The second and third levels land surface dead combustible fuel, i.e., 10 h and 100 h time-lag dead fuels, had a sum of 610.26 g·m-2, and presented weaker spatial auto-correlation than 1 h timelag dead fuel. Their determining factor was the disturbance history of forest stand. The complexity and heterogeneity of the factors determining the quality and quantity of forest land surface dead combustible fuels were the main reasons for the relatively inaccurate interpolation. However, the utilization of field survey data coupled with geo-statistics could easily and accurately interpolate the spatial pattern of forest land surface dead combustible fuel loads, and indirectly provide a practical basis for forest management.