Our study aimed to determine the relationship between the environment factors and these variation patterns.Also,we examined the difference of variation patterns between forest community and understory herb layer only.The canonical correspondence analysis (CCA) was used for testing the relationship between 9 environment factors and species composition data.A correlation test was determined the relationship between environment factors and species α diversity.Redundancy analysis (RDA) was used to analyze the importance of environment factors on plant functional traits.We also tested the Pearson correlation coefficient of community α diversity and functional traits between forest community and understory herb layer.We found that:1) 9 environment factors had a poor power to explain the change of both forest community and understory herb layer.However,the axis 1 of CCA could distinguish the altitude range of each plot in both modes.2) Along the elevation,the ShannonWiener index of forest community at first increased and then decreased while the ShannonWiener index of understory herb layer decreased monotonously.3)The ShannonWiener index of both community and herb layer was independence to slope and woody species layer cover degree(WCD).The axis 1 of RDA which related to altitude could explain 71.2% of total trait variation for forest community and 54.7% for understory herb layer.The variation pattern of plant max height value (H_max) of forest community and herb layer was different.