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不同造林密度下杉木人工林的生物量与分配特征

Biomass and its distribution characteristics of Cunninghamia lanceolata plantations with different afforestation densities

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【作者】 谢建文

【Author】 XIE Jianwen;Xiqin Experimental Forest Farm, Fujian Agriculture and Forestry University;

【机构】 福建农林大学西芹教学林场

【摘要】 [目的]探究不同造林密度杉木人工林林分生物量差异及其分配特征。[方法]以不同造林密度(1 800、3 000、4 500株·hm-2)12年生杉木人工林为研究对象,通过生物量收获法分析林分不同组分生物量及其分配特征。[结果]随着造林密度的增大,杉木人工林平均树高及平均枝下高呈逐渐上升趋势,而胸径则呈下降趋势。杉木树干、树皮及宿留枯死枝叶、不同径级树根、凋落物层生物量均随着造林密度的增大呈上升趋势,而林下植被层生物量则呈下降趋势。高密度林分有利于杉木树干、树皮、宿留枯死枝叶、粗根及凋落物层生物量的分配;低密度林分则有利于枝叶、大根、细根及林下植被层生物量的分配。[结论]在一定密度范围内,杉木人工林林分生物量随着造林密度的增大而逐渐提高。

【Abstract】 [Purpose] To analyze the differences of biomass and its distribution characteristics of Cunninghamia lanceolata plantations with different afforestation densities. [Method] 12-year-old C.lanceolata plantations with three afforestation densities(1 800, 3 000, or 4 500 plants·hm-2) were studied, and biomass harvesting method was used to analyze the biomass yield of different components and its distribution characteristics. [Result] With the increase of afforestation density, the average tree height and the average under branch height of C.lanceolata plantations showed a gradual upward trend, while the DBH diameter showed a downward trend. The biomass of fir trunks, bark, withered dead branches and leaves, roots of different diameters, and litter layer increased with the increase of afforestation density increased, but the under forest biomass showed a downward trend. In C.lanceolata plantation forests, high-density forest subdivision was beneficial to the distribution of biomass of trunk, bark, dead branches and leaves, coarse roots and litter layer, while lower density forest subdivision was conductive to the distribution of biomass of branches, leaves, large and fine roots and under-forest vegetation layer. [Conclusion] In a certain density range, the biomass of C.lanceolata forest is gradually increased with the increase of afforestation density.

【基金】 国家重点研发计划项目(2016YFD0600301)资助
  • 【文献出处】 亚热带农业研究 ,Subtropical Agriculture Research , 编辑部邮箱 ,2020年02期
  • 【分类号】S791.27
  • 【被引频次】17
  • 【下载频次】185
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