Abstract: Detrended correspendence analysis (DCA)and two way indicator species analysis (TWlNSPAN) are adopted for ordination and classification of montane coniferous forests in warm-temperate region. Two methods gave similar results. The data from 120 meteorological station in the warm temperate region of China are sued to get the multiple regression for estimating the climatic information of various coniferous forests using longitude, latitude and altitude as predictors. Platycladus orientalis forest and Pinus tebulaeformis forests in the low mountains are forests those can tolerante drier habitat. Actually, Pinus tabulaeformis widespreads from low to mid-montane belts, this kind of Pinus can constitutes different mixed forests with other coniferous and broadleaved trees. Pinus armandii forest adapts warm and moist site. The subalpine forests dominated by Larix principis-rupprechtii, Picea meyeri, P. wilsonii occur in the cold and moist habitat. The environmental interpretation of coniferous forests are mentioned.