当前位置: 首页 > 文章 > 思茅松天然林林分空间结构分析 西南林业大学学报(自然科学) 2020 (3) 122-130
Position: Home > Articles > Spatial Structure Analysis of Pinus kesiya var. langbianensis Natural Forest Journal of Southwest Forestry University(Natural Sciences) 2020 (3) 122-130

思茅松天然林林分空间结构分析

作  者:
徐美玲;农明川;欧光龙
单  位:
西南地区生物多样性保育国家林业局重点实验室
关键词:
角尺度;混交度;大小比数;多元分布;思茅松;天然林
摘  要:
以普洱市墨江县思茅松天然林为研究对象,在样地数据调查基础上,利用角尺度、混交度和大小比数,建立3个空间结构参数的多元分布,全面分析其空间结构特征。结果表明:思茅松天然林中各树种类型以思茅松为优势树种,伴生一定数量的硬阔类和软阔类树种,且具有丰富的下层木;思茅松天然林林分整体呈均匀分布并趋于随机分布,混交良好介于强度混交和极强度混交之间,为典型的混交林,林分整体趋于中庸,处于亚优势与中庸状态之间;从结构参数多元分布来看,无论3个空间结构参数间如何组合,思茅松天然林内各树种类型林木在不同结构组合下多呈随机分布或混交良好。
译  名:
Spatial Structure Analysis of Pinus kesiya var. langbianensis Natural Forest
作  者:
Xu Meiling;Nong Mingchuan;Ou Guanglong;Key Laboratory of State Forestry Administration on Biodiversity Conservation in Southwest China,Southwest Forestry University;
关键词:
angle index;;mingling;;neighborhood comparison;;multivariate distribution;;Pinus kesiya var. langbianensis;;natural forest
摘  要:
Taking Pinus kesiya var. langbianensis natural forest in Mojiang County, Pu' er City, Yunnan Province as the research object. Based on the investigation of sample plot data, the spatial structure characteristics of P. kesiya var. langbianensis natural forest analyzed by using 3 spatial structure parameters of angle index,mingling and neighborhood comparison, and establish a multivariate distribution of them. The results showed that in the natural forest of P. kesiya var. langbianensis, P. kesiya var. langbianensis is the dominant species, accompanied by hardwood broad-leaved species and softwood broad-leaved species in the upper layer, and held abundant small other trees in the understory. In the natural forest of P. kesiya var. langbianensis, its spatial distribution is the even distribution and near to the random distribution. In addition, the mingling is between intensive-mingling and extremely intensive-mingling species. It is a typical mixed forest. The DBH neighborhood comparison is between subdominant to middlebrow status. From the multivariate distribution of structural parameters, we see no matter how the 3 structure parameters were combined, all the tree species in the natural forest of P. kesiya var.langbianensis, most were randomly distributed or well mixed under different structural combinations.

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