文章摘要
黄运荣,徐婷婷,施凯泽,卢腾飞,李 泽,郎晓雪,罗 胤,冷鸿天.香格里拉市高山松林碳密度与环境因子的关系研究[J].林业调查规划,2024,49(1):108-114
香格里拉市高山松林碳密度与环境因子的关系研究
Relationship between Pinus densata Carbon Density and Environment Factors in Shangri-La
  
DOI:
中文关键词: 高山松林  碳密度  环境因子  DCA分析法  香格里拉市
英文关键词: Pinus densata forest  carbon density  environment factor  PCA analysis method  Shangri-La
基金项目:
作者单位
黄运荣 云南省林业调查规划院云南 昆明 650051 
徐婷婷 云南省林业调查规划院云南 昆明 650051 
施凯泽 云南省林业调查规划院云南 昆明 650051 
卢腾飞 云南省林业调查规划院云南 昆明 650051 
李 泽 云南省林业调查规划院云南 昆明 650051 
郎晓雪 云南省林业调查规划院云南 昆明 650051 
罗 胤 云南省林业调查规划院云南 昆明 650051 
冷鸿天 云南省林业调查规划院云南 昆明 650051 
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中文摘要:
      以香格里拉市高山松林为研究对象,依据前期构建的高山松单木碳储量模型,结合森林资源二类调查数据推算高山松林的碳密度,利用除趋势对应分析方法探讨高山松林碳密度与各环境因子之间的关系。结果表明,在林分因素中,平均树高对高山松林碳密度的影响最大;在地形因素中,坡度对高山松林碳密度的影响最大;在温度因素中,最热月均温和最冷月均温差对高山松林的碳密度影响最大;在降水因素中,最干季降水和最冷季降水对高山松林碳密度的影响最大。环境因子的综合作用对高山松林碳密度影响的综合分析表明,DCA的第一排序轴与高山松林的碳密度相关性最大,可以很好地解释环境因子的综合作用对高山松林碳密度产生的影响,在26个环境因子中,有20个环境因子与DCA第一排序轴有极显著的相关性,其中,林分因子的相关性系数较大,说明高山松林的碳密度主要受林分因子共同作用的影响。
英文摘要:
      Taking the Pinus densata forest in Shangri-La as research object, based on the previously constructed Pinus densata carbon stock estimation, carbon density was calculated by using forest resource inventory data,and the relationship between Pinus densata carbon density and the various environment factors was studied by DCA analysis method. The study results showed that in stand factors, the influence of average tree height to Pinus densata forest carbon density was the largest; in topography factors, the influence of slope was the largest; in temperature factors, the average temperature difference between the hottest and coldest months was the largest; in precipitation factors, the influence of precipitation of driest quarter and coldest quarter was the largest. The analysis for the comprehensive effect of environmental factors on Pinus densata forest carbon density showed that the first axis of DCA and Pinus densata forest carbon density had the largest correlation, which could well explained the comprehensive effect of environmental factors on the carbon density, and in 26 environmental factors, 20 environment factors with the first axis of DCA had the extremely significant correlation, among which the correlation coefficient of stand factors was larger, which could explain stand factors were the main influencing factors of Pinus densata forest carbon density.
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