Welcome to Chinese Journal of Ecology! Today is Share:

cje ›› 2010, Vol. 29 ›› Issue (08): 1526-1532.

• Articles • Previous Articles     Next Articles

Quantitative classification and ordination of low-altitudinal tropical forests in Bawangling, Hainan Island.

LIU Wan-de1,DING Yi2,ZANG Run-guo2,SU Jian-rong,YANG Min3,CAI Du-lei3,LI Ru-cai3,CHEN Shao-wei3   

  1. 1Research Institute of Resource Insect, the Chinese Academy of Forestry, Kunming 650224, China|2Key Laboratory of Forest Ecology and Environment, the State Forestry Administration, Institute of Forest Ecology, Environment and Protection, the Chinese Academy of Forestry, Beijing 100091, China|3HainanBawangling National Nature Reserve, Changjiang 572722, Hainan, China
  • Online:2010-08-06 Published:2010-08-06

Abstract: In order to understand the community types of low-altitudinal tropical forests in Bawangling of Hainan Island, a field investigation was conducted at 21 sampling plots, and the quantitative classification and ordination on the community types were made by using two-way indicator species analysis (TWINSPAN), principal components analysis (PCA), and detrended correspondence analysis (DCA). Based on TWINSPAN, the forest communities in Bawangling were classified into 3 types, i.e., tropical lowland rainforest (plots 9-12), transformed monsoon rainforest (plots 1-8), and tropical monsoon rainforest (plots 13-21). Same results were obtained by PCA and DCA ordination, which basically reflected the relationships between forest communities and environmental factors. Tropical lowland rainforest was positively correlated with altitude and litter depth, tropical monsoon rainforest was positively correlated with slope and the coverage of exposed rock surface, while transformed monsoon rainforest had somewhat different correlations with environmental factors. The results of DCA ordination also indicated that transformed monsoon rainforest was a transitional community type between tropical lowland rainforest and tropical monsoon rainforest.

Key words: Hydrological scale, Scaling