白云山自然保护区植物群落多样性分布格局研究

Study on the Distribution Pattern of Plant Community Diversity in Baiyun Mountain Nature Reserve

根据白云山自然保护区6个植物群落的样地调查资料,为研究白云山自然保护区植物群落物种多样性的空间分布格局,采用DCCA (detrended canonical correspondence analysis)排序法,从丰富度指数、物种多样性指数、均匀度指数、优势度指数等方面的关系进行了分析。结果表明:在调查样地区域内,乔木层多样性平均指数较低,为1.344,灌木层植物多样性平均指数为3.054,草本植物的多样性指数为2.753,高于乔木层的指数。乔木层丰富度平均指数较低,为2.734,灌木层植物丰富度平均指数为6.447,草本植物的丰富度指数为5.467。通过重要值分析得出华山松的各种指数均高于锐齿槲栎,华山松在调查的群落里占更大优势,更加适应样地内的生长环境,地带性植被总体上表现为向锐齿槲栎(Quercus aliena var. acuteserrata Maxim.)、华山松(Pinus armandii Franch.)林的方向更新。此外,乔木优势树种较为单一,可适当引入当地的其他树种,丰富样地内的物种丰富度,使林分组成更加健全。

According to Baiyun Mountain Nature Reserve, six plots of plant community survey data for the study of Baiyun Mountain Nature Reserve of plant species diversity spatial distribution pattern, using DCCA (detrended canonical correspondence analysis) sort, from the species richness index, relationships between species diversity index, evenness index, dominance index and other aspects were analyzed. Research suggests in the sample plots, the average tree layer diversity index was lower, which was 1.344, the average diversity index of shrub layer was 3.054, and the diversity index of herbaceous plants was 2.753, which was higher than that of QiaoMuceng. The average richness index of the tree layer was low, which was 2.734, and the average index of shrub layer was 6.447, and the richness index of herb was 5.467. Through the analysis of the important values, various index of Huashan pine is higher than the Quercus aliena var. acuteserrata, Huashan pine in the investigation of the community has a greater advantage, more adapted to the growth environment of the sample plots, zone of vegetation on the whole performance for updates to the direction of the Sharptooth oak (Quercus aliena var. acuteserrata Maxim.) Huashan pine (Pinus armandii Franch.). In addition, the dominant tree species is single, other tree species can appropriately be introduced into the local area, so that the species richness of the samples can be enriched, and the composition of the forest will be more perfect.