大娄山典型林分腐殖质载量及其影响因素  

Humus Load of Typical Forest Stands in Dalou Mountain and Its Influencing Factors

作　　者：彭徐剑 张运林 Peng Xujian;Zhang Yunlin(Nanjing Police College,Nanjing 210023,P.R.China;Guizhou Education University)

机构地区：[1]南京警察学院,南京210023 [2]贵州师范学院

出　　处：《东北林业大学学报》2024年第1期74-77,97,共5页Journal of Northeast Forestry University

基　　金：国家自然科学基金项目(32201563);贵州省科技厅奖励补助项目(2023GZJB002);贵州省科技支撑计划项目(黔科合支撑[2022]249);贵州省高等学校智慧林业创新团队(黔教技[2023]75号);贵州师范学院校级博士课题研究成果(2021BS020)。

摘　　要：腐殖质作为森林可燃物的重要组成部分,主要影响林火向下垂直燃烧和地下火,腐殖质载量的大小对林火发生的一系列火行为具有重要影响。以大娄山典型林分为研究对象,通过野外测定林分腐殖质载量和林分特征,分析腐殖质载量与林分因子、地形因子的关系,并建立典型林分腐殖质预测载量模型。结果表明:(1)不同林分腐殖质载量具有显著差异(P<0.05),马尾松林、柏木林、软阔林、阔叶混交林不同标准地内的腐殖质载量呈显著差异(P<0.05),杉木林、灌木林在不同标准地间没有显著差异;(2)不同林分腐殖质载量的影响因子不同,主要包括腐殖质平均厚度、郁闭度、平均胸径、坡度、海拔等;(3)柏木林分腐殖质载量预测模型的误差最小、精度最高,决定系数(R^(2))为0.415,均方根误差为3.127 t·hm^(-2),相对误差为47.749%,平均误差为2.565 t·hm^(-2)。Humus,as an important component of forest combustibles,mainly affects the vertical downward combustion of forest fires and underground fires.The load of humus has a significant impact on the series of fire behaviors occurring in forest fires.Taking the typical forest stand of Dalou Mountain as the research object,the load and characteristics of humus in the forest stand were measured in the field,and the relationship between the load of humus and forest factors and terrain factors was analyzed.A predictive model for the load of humus in the typical forest stand was established.The results showed that:(1)There were significant differences in the load of humus among different forest stands(P<0.05).The load of humus in different standard plots of Pinus massoniana,Cupressus funebris,soft broad-leaved forest,and broad-leaved mixed forest showed significant differences(P<0.05),while there was no significant difference between different standard plots of Cunninghamia lanceolata and shrub.(2)The influencing factors of the load of humus in different forest stands were different,mainly including the average thickness of humus,canopy density,average diameter at breast height,slope,and elevation.(3)The predictive model for the load of humus in C.funebris forest had the smallest error and the highest accuracy,with a coefficient of determination(R^(2))of 0.415,root mean square error of 3.127 t·hm^(-2),relative error of 47.749%,and average error of 2.565 t·hm^(-2).

关 键 词：腐殖质 载量 预测模型 林分特征 

分 类 号：S718[农业科学—林学]