Spatial heterogeneity of fuel moisture content determines the spread rate and direction of a forest fire. Research on the spatial heterogeneity of the moisture content of dead fuel of Larix gmelinii Rupr. showed that: (1) fuel moisture content in litter layer < semi-humus layer < humus layer, and the coefficient of variation decreased with sampling depth; (2) the sill value of the semi-humus layer was highest, the humus layer moderate, the litter layer the smallest, overall, the spatial heterogeneity of the semi-humus layer was the highest. The humus layer in the slant direction and three layers in a vertical direction showed strong spatial correlation with the lowest nugget coefficient of 0.0968; (3) the fuel moisture content of the humus layer showed strong spatial anisotropy; and, (4) estimating the total moisture content of the sampling site by stimulated sampling reasonable control of the sampling interval, and increasing the sampling intensity can reduce the error. When the sampling intensity is increased to more than 16 and the sampling interval 3 m, the standard error is < 15%. The spatial heterogeneity of fuel moisture content is best revealed by increasing sampling density, sampling in different fire seasons, and in different slope directions and positions. The results can provide a scientific basis for forest fire prediction and prevention.

燃料水分含量的空间异质性决定了森林火灾的蔓延速度和方向。落叶松死燃料水分的空间异质性研究。鲁普 结果表明：（1）凋落物层＜半腐殖质层＜腐殖质层中的燃料含水量，变异系数随采样深度的减小而减小；（2）半腐殖质层的基石值最高，腐殖质层适中，垫层最小，总体而言，半腐殖质层的空间异质性最高。腐殖质层在倾斜方向上和垂直方向上的三层显示出强烈的空间相关性，最低的熔核系数为0.0968。（3）腐殖质层的燃料水分含量具有较强的空间各向异性；（4）通过合理控制采样间隔，通过激励采样来估计采样点的总水分含量，增加采样强度可以减少误差。当采样强度增加到16以上且采样间隔为3 m时，标准误差<15％。燃料水分含量的空间异质性最好通过增加采样密度，在不同火季，不同坡度方向和位置进行采样来揭示。研究结果可为森林火灾的预测和预防提供科学依据。