中文摘要：

根据60个森林群落样方数据,采用双向指示种分析（TWINSPAN）和冗余分析（RDA）方法,对芦芽山自然保护区的森林群落进行分类和排序。结果表明：（1）TWINSPAN将该区的森林群落分为9个类型;（2）RDA排序结果较好地反映出群落分布格局与环境梯度的关系。青林各群落类型在第一轴有明显分异,而第一轴主要反映了海拔和坡位的梯度,因此青林的群落分布格局主要受海拔和坡位的影响,从而导致植被类型的垂直分布。（3）环境因子的蒙特卡罗随机置换检验结果表明只有海拔、坡位和土壤pH对群落分布具有显著影响（P〈0.05）,坡度、坡向和凋落物层厚度的共线性作用较大。方差分解结果表明海拔、坡位和土壤pH的独立解释量依次减小,海拔、坡位是影响青林分布的关键环境因子。

英文摘要：

According to the 60 quadrats data,Picea wilsonii forests in the Luya Mountain Nature Reserve were investigated by using two-way indicator species analysis（ TWINSPAN） and redundancy analysis（ RDA）. The results showed that（1）60 quadrats were classified into 9 groups,representing 9 types of plant communities.（2） The results of RDA ordination clearly reflected the relationships between the distribution pattern of communities and environmental gradients. The distribution pattern of communities was obvious in the first axis gradient,mainly representing elevation and slope position gradients,which resulting in vertical distribution pattern of P. wilsonii forests in this reserve.（3） The statistical significance of the effect of each variable was tested by a Monte Carlo permutation test,and only elevation,slope position and soil pH were significantly related to the species data at the 5% level,indicating that there were significant collinearity effects among aspect of slope,slope and litter layer thickness. Variation partitioning showed that the independent effects of elevation,slope position and soil pH decreased successively,and elevation,slope position were the main environmental factors affecting the distribution of P. wilsonii forests.