青城山森林群落的数量分类

Numerical Classification of Forest Community on Qingcheng Mountain

以森林植被样地中乔木层树种的重要值为指标,采用群落相似系数分类法、最近邻体法、组平均法对青城前山森林植被样地进行数量分类.3种分类法的结果表明,所调查的11个森林植被的样地分为2个植被亚型5个群系.常绿阔叶林中的各个群系基本处于稳定阶段,仅有个别样地受到人类的轻度干扰,一些阳生性的落叶成分侵入群落内,群落表现出明显的次生性质,但是,目前落叶成分在群落中缺乏更新幼苗,若加强森林管理,群落将会恢复其原生状态;杉木群系主要分布在人为影响较大的常绿阔叶林的林缘地带,由于许多常绿树种已进入群落的最高层造成遮荫,杉木在林内生长状况不良,群落最终将演替为常绿阔叶林.

A series of methods including the tabular comparison of similarity coefficient, the nearest neighbor method and the groupaverage method of hierarchical agglomerative classification are used to deal with the forest communities on Qingcheng Mountain. From the results of the classification, the 11 forest plots on the Qingcheng Mountain are divided into two vegetation subtypes and five formations according to the important value in the tree layer. The most formations of evergreen broadleaved forests are in a stable stage, except a few indicated secondary characters, because deciduous trees have intruded communities under man's slight interference. If the management is strengthened, these forests will restore to the former state. Cunninghamia lanceolata forests are principally distributed the border districts of evergreen broadleaved forests that have been disturbed by human being. The trees of Cunninghamia lanceolata don't grow very well because many evergreen trees form shade, for this reason, the warm conifer forests of the region will turn to evergreen broadleaved forests.