Classification, ordination and diversity pattern of typical forest communities in Taibai Mountain Nature Reserve

Quantitative classification of typical forest communities in the Taibai Mountain Nature Reserve through multivariate regression trees (MRT), using canonical correspondence analysis (CCA, canonical correspondence analysis) to sort, and analyze the overall diversity of forest communities obtained by classification The research shows: (1) MRT classification was carried out on 30 sample plots, and after cross-validation, the typical forest communities in Taibai Mountain Nature Reserve can be divided into 6 categories. (2) CCA ranking reveals the habitat distribution range of the communities and reflects Based on the relationship between the forest communities of Taibai Mountain and environmental factors, the study shows that the four variables of altitude, slope, litter thickness, and disturbance have a significant impact on the community distribution in this study area. (3) Three types of forest communities located in the middle altitude area The diversity index is relatively high, while the overall diversity in