Figures (4)  Tables (2)
    • Figure 1. 

      Distribution of sampling plots along the elevation gradient in Daiyun Mountain.

    • Figure 2. 

      Community species composition with the increase of elevation changes. The elevation changes refer to the vertical difference in height between two paired elevations.

    • Figure 3. 

      Community beta diversity and its components in Daiyun Mountain. (a) Displays the beta diversity (βsor), species turnover (βsim), and species nestedness (βsne) using presence-absence data. (b) Presents the Bray-Curtis distance (dBC), balanced variation (dBC-bal), and abundance gradient (dBC-gra) using abundance data.

    • Figure 4. 

      Community beta diversity and its components changed with the increase of elevation change. (a) Presence-absence data. (b) Abundance data.

    • PlotsAbundanceSpecies richnessDominant species
      (importance value)
      DYS900 68233Cyclobalanopsis glauca (34.816)
      DYS100050935Cunninghamia lanceolata (34.672)
      DYS110043231C. lanceolata (33.510)
      DYS120033339C. lanceolata (17.609); Machilus thunbergii (14.473)
      DYS130080932Eurya rubiginosa var. attenuata (16.141); Pinus taiwanensis (15.129)
      DYS14001,00731P. taiwanensis (27.780)
      DYS150086425P. taiwanensis (32.591)
      DYS16001,29024P. taiwanensis (31.874)

      Table 1. 

      Community structure and species composition of wood plant community in Daiyun Mountain.

    • DatasetResponsible
      variable
      ModelR2p
      Presence-absenceβsor~AT+SLOP0.5600.006
      AT0.9230.002
      SLOP0.6010.097
      βsim~AT+SLOP0.5650.005
      AT0.8830.008
      SLOP0.6570.066
      βsne~AT+SLOP0.1780.950
      AT0.2800.417
      SLOP0.9160.001
      AbundancedBC~AT+SLOP0.6470.002
      AT0.8840.005
      SLOP0.7820.017
      dBC-bal~AT+SLOP0.6690.004
      AT0.8380.010
      SLOP0.6020.106
      dBC-gra~AT+SLOP0.2280.872
      AT0.1430.690
      SLOP0.8600.009
      AT and SLOP are air temperature and slope, respectively.

      Table 2. 

      dbRDA analysis based on presence-absence data and abundance data.