摘要
对暖温带山地针叶林采用无倾向对应分析(DCA)和二元指示种分析(TWINSPAN)进行排序和数量分类。二种方法的分析结果相似。根据暖温带森林地区120个气象站数据,得出多元回归方程,并根据每个样地所在地的经度、纬度和海拔高度,获得各类植物群落气候因子的信息。低山侧柏(Platycladus orientalis)林和油松(Pinus tabulaeformis)林是喜暖耐旱的植物群落。实质上油松林分布很广,亦能耐寒,并可与多种乔木形成混交林。华山松(pi-nus armandii)林需要温暖湿润的生境,多见于纬度较低的中山地带。亚高山带主要是华北落叶松(Larix princiois-rupprechtii),白扦(picea meyeri)青扦(picea wilsonii)占优势的针叶林,它们有纯林,亦有混交林,对上述植物群落给以环境解释。
Detrended correspendence analysis (DCA) and two way indicator species analysis (TWINSPAN) 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 Ch-
ina are sued to get the multiple regression for estimating the climatic informa-
tion of various coniferous forests using longitude, latitude and altitude as pre-
dictors. Platycladus orientalis forest and Pinus tabulaeformis forests in the low
mountains are forests those can tolerante drier habitat. Actually, Pinus tabula-
eformis 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 domi-
riated by Lartx principis-rupprechtti, Picea meyeri, P. wilsonii occur in the co-
ld and moist habitat. The environmental interpretation of coniferous forests are
mentioned.
基金
中国科学院植物研究所植被数量生态学实验室的基金项目
关键词
暖温带
针叶林
排序
数量分类
Coniferous forest
Ordination
Numerical classification
Environmental interpretation
Warm-temperate region
