Species Diversity and Structure of Dominant Species Populations of Cunninghamia lanceolata Plantation at Chebaling in Northern Guangdong
Based on the data of 1 hectare permanent sample plot, the age structure and height structure of dominant broadleaved species populations,and species diversity within Cunninghamia lanceolata plantation at Chebaling National Nature Reserve of Guangdong were analyzed, so as to explore the natural succession process of the community. Results showed that there were 62 plant species with diameter of breast height more than one centimeter and the total individual number was 3740. The C. lanceolata accounted for 57.03%, and its important value was 50.51, while the total important value of other seven broadleaved species was 29.72. The Gleason index, Simpson index, Shannon-Wiener index, and Pielou evenness index of C. lanceolata forest arbor layer was 6.732, 0.655, 1.884, and 0.456, respectively. Among the dominant broadleaved species population, the Alniphyllum fortunei population was typical declined population,and the Liquidambar formosana population was stable to declined population, while the populations of Loropetalum chinense, Camellia oleifera, and Diospyros kaki var. silvestris were basically stable, and the populations of Schima superba and Machilus chinensis showed increasing types. They had own characteristics of height structure for different plant populations, but only the population of Cunninghamia lanceolata was similar to the whole forest in the height structure above 10 m. After 30 years natural succession, the important value of Cunninghamia lanceolata was still greater than 50, and the coniferous forest of the community had not changed, which belongs to the early stage of succession to the zonal vegetation of evergreen broadleaved forest. Although there appeared dominant broad-leaved tree species, such as Alniphyllum fortunei, Liquidambar formosana, Loropetalum chinense, etc, they did not reach the level of Cunninghamia lanceolata to constructive species in the community.
NETL
NSTL
万方数据
维普
