Natural Regeneration of Quercus aliena var.acuteserrata Forests in Huoditang Based on the Grey Relational Analysis Method
The natural regeneration of Quercus aliena var. Acuteserrata forests was studied by surveying the sample plots in Huoditang forest areas, and the main environmental factors of regeneration were analyzed by grey relational analysis method. The results are reported as follows. (1) Regeneration seedlings were growing well, with a maximum renewal density of 8 812 plants per hm2 in Q. Aliena var. Acuteserrata mixed Pinus tabulae formis forest, the midlle renewal density of 5 960 plants per hm2 in pure Q. Aliena var. Acuteserrata forest and a minimum renewal density of 5 750 plants per hm2 in Q. Aliena var. Acuteserrata mixed Swida macrophylla forest. (2) Regeneration of Q. Aliena var. Acuteserrata which was the dominant tree species was better than other tree species, with a maximum renewal density of 2 500 plants per hm2, and the frequency of Q. Aliena var. Acuteserrata was 62%. (3) Relational grade sequence of environmental factors which affected forest regeneration were in the order of stand density > conifer number > altitude > soil bulk density > canopy density > gradient > arbor trees coverage > non-capillary porosity > total porosity > soil thickness > shrub and grass coverage. The artificial controllable factors, such as stand density and conifers number could promote the natural regeneration within a certain scope, and canopy density in 70% - 75% could remain a bigger renewal density. Therefore, the natural regeneration of Q. Aliena var. Acuteserrata may be promoted by adjusting these controllable factors.
Quercus aliena var. Acuteserrataregenerationenvironmental factorsgrey relational analysis method
国家科技期刊平台
NSTL
万方数据
维普
