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赣南地区森林地表死可燃物载量与环境因子的关系
引用本文:巫清芸,吴志伟,Robert E. Keane,林世滔,李顺,单延龙.赣南地区森林地表死可燃物载量与环境因子的关系[J].应用生态学报,2022,33(6):1539-1546.
作者姓名:巫清芸  吴志伟  Robert E. Keane  林世滔  李顺  单延龙
作者单位:1.江西师范大学鄱阳湖湿地与流域研究教育部重点实验室, 南昌 330022;2.江西省自然灾害监测预警与评估重点实验室, 南昌 330022;3.江西师范大学地理与环境学院, 南昌 330022;4.Missoula Fire Sciences Laboratory,Missoula 5980;5.江西环境工程职业学院, 江西赣州 341000;6.北华大学, 吉林吉林 132013
基金项目:国家重点研发计划项目(2018YFE0207800)资助。
摘    要:森林可燃物载量分布格局是植被与地形等环境因子之间相互作用的结果。本研究通过野外实测赣南地区主要7种森林类型地表死可燃物载量数据,依据时滞可燃物分类标准,构建了地表可燃物载量与地形、植被等环境因子间的结构方程模型,并分析了各因子的影响路径及其直接、间接和总效应。结果表明: 7种不同森林类型中,1、10和100 h时滞可燃物载量均是针阔混交林内最高,毛竹林内最低。对1 h时滞载量影响最大的变量依次为:坡度(影响系数为0.40)>树冠高度(0.07)>树种(-0.03)>郁闭度(0.01);对10 h时滞载量影响最大的变量依次为:胸径(0.15)>树种(-0.09)>坡向(-0.08)>郁闭度(-0.06);对100 h时滞载量影响最大的变量依次为:坡向(0.25)>胸径(0.19)>郁闭度(-0.08)>树种(0.02);对可燃物总载量影响最大的变量依次为:坡度(0.22)>树种(-0.04)、郁闭度(-0.04)>树冠高度(-0.01)。

关 键 词:地表死可燃物载量  结构方程模型  路径系数  赣南地区  
收稿时间:2021-08-11

Relationship between surface dead fuel loadings and environmental factors in southern Jiangxi,China
WU Qing-yun,WU Zhi-wei,Robert E. Keane,LIN Shi-tao,LI Shun,SHAN Yan-long.Relationship between surface dead fuel loadings and environmental factors in southern Jiangxi,China[J].Chinese Journal of Applied Ecology,2022,33(6):1539-1546.
Authors:WU Qing-yun  WU Zhi-wei  Robert E Keane  LIN Shi-tao  LI Shun  SHAN Yan-long
Abstract:The distribution pattern of forest fuel loading is driven by the interaction of environmental factors, such as terrain and vegetation. Based on field sampling data of surface dead fuels of seven main forest types in southern Jiangxi Province, and according to the classification standard of different time-lags, we constructed structural equation models to explore the relationship between surface fuel loadings and environmental factors such as terrain and vegetation etc. We analyzed the influence path of each factor and its direct, indirect, and total influence. The results showed that the coniferous and broad-leaved mixed forest had the highest loadings and the Phyllostachys heterocycla pure forest had the lowest loadings for all the 1, 10, and 100 h time-lag fuels. The influencing coefficient of environmental factors for 1 h time-lag fuels were ranked as: slope (0.40) > crown height (0.07) > tree species (-0.03) > canopy closure (0.01). For the 10 h time-lag fuels, the environmental factors were ranked as: diameter at breast height (0.15) >tree species (-0.09) > aspect (-0.08) > canopy closure (-0.06). For the 100 h time-lag fuels, the environmental factors were ranked as: aspect (0.25) > diameter at breast height (0.19) > canopy closure (-0.08) > tree species (0.02). The influencing coefficient of environmental factors for the total fuels were ranked as: slope (0.22) > tree species (-0.04), canopy closure (-0.04) > crown height (-0.01).
Keywords:surface dead fuel loading  structural equation model  path coefficient  southern Jiangxi  
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