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北京松山油松林地表可燃物负荷量的影响因素

艾也博1,寸应得1,范雅倩2,程瑞义2,刘艳红1*   

  1. (1北京林业大学森林资源与生态系统过程北京市重点实验室, 北京 100083; 2北京松山国家级自然保护区管理处, 北京 102115)
  • 出版日期:2018-09-10 发布日期:2018-09-10

Factors affecting surface fuel load of Pinus tabuliformis forest in Songshan, Beijing. 

AI Ye-bo1, CUN Ying-de1, FAN Ya-qian2, CHENG Rui-yi2, LIU Yan-hong1*   

  1. (1The Key Laboratory for Silviculture and Conversation of Ministry of Education, Beijing Forestry University, Beijing 100083, China; 2Beijing Songshan National Nature Reserve Management Office, Beijing 102115, China).
  • Online:2018-09-10 Published:2018-09-10

摘要: 森林地表可燃物是引起森林火灾的重要因素,研究森林地表可燃物负荷量的影响因子可以为森林可燃物管理提供科学依据。本文对北京松山自然保护区油松林地表可燃物负荷量与地形、林分和地被物因子进行相关性分析和逐步回归分析,通过方差分解计算3类影响因子对可燃物负荷量变化的贡献率。结果表明:(1)地表总可燃物负荷量与草本盖度呈显著负相关。地表活可燃物负荷量与海拔和灌木盖度呈显著正相关,与草本盖度呈显著负相关。地表死可燃物负荷量分别与郁闭度、林分密度和平均树高呈显著正相关,与海拔呈极显著负相关;(2)多元线性回归分析表明,用海拔、郁闭度和灌木盖度3个因子可较好地估算地表活可燃物负荷量;地表死可燃物负荷量可用海拔和郁闭度2个因子进行较好估算。(3)对地表活可燃物负荷量的解释力中,地被物因子>林分因子>地形因子,地被物因子与地形因子的交互作用贡献率最显著,与林分因子的交互作用贡献率次之。对地表死可燃物负荷量的解释力中,林分因子>地形因子>地被物因子,林分因子和地形因子的交互贡献率显著,与地被物因子的交互贡献率次之。不同类别地表可燃物的影响因子不同,在进行可燃物管理、森林防火和林分调控的过程中需有针对性。

关键词: 农田重金属污染, 玉米, Cd, 间作修复, 籽粒苋

Abstract: Forest surface fuel is an important causing factor for forest fire. Understanding the impact factors of forest surface fuel load can provide scientific basis for forest combustible management. In this study, we conducted correlation analysis and stepwise regression analysis between surface fuel load and topographical, forest stand and ground cover factors ofPinus tabuliformis forest in Beijing Songshan National Nature Reserve. The contribution of those three types of factors to the changes of fuel load was calculated. Results showed that: (1) The total amount of surface fuel load had a significant relationship with the herb coverage. The live surface fuel load was significantly positively correlated with altitude and shrub coverage, but negatively correlated with herb coverage. The dead surface fuel load was significantly positively correlated with canopy density, stand density, and average tree height, but negatively correlated with altitude. (2) Results of multivariable linear regression analysis showed that altitude, canopy coverage, and shrub coverage were the most significant factors affecting the live surface fuel load. The dead surface fuel load was most closely related to altitude and canopy density. (3) Among the explanatory factors of live surface fuel load, the contribution rate was in order of ground cover factor>stand factor> topographical factor, with the interaction of ground cover factor and topographical factor being the most significant, followed by interaction of ground cover factor and stand factors. For the dead surface fuel load, the contribution rate was in order of stand factor> topographical factor> ground cover factor, with the interaction of stand factor and topographical factor being significant, followed by the interaction of stand factor and ground cover factor. Affecting factors depended on the types of surface fuel. Therefore, it is necessary to differentiate affecting factors in surface fuel management, forest fire prevention, and stand regulation.

Key words: heavy metal pollution in farmland, Cd, Amaranthus hypochondriacus., maize, intercropping remediation