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福建南平安曹下老龄杉木群落生态特征
引用本文:何宗明,陈光水,谢锦升,游水生,杨玉盛.福建南平安曹下老龄杉木群落生态特征[J].福建地理,2007(1).
作者姓名:何宗明  陈光水  谢锦升  游水生  杨玉盛
作者单位:福建农林大学林学院 福州350002(何宗明,游水生),福建师范大学地理科学学院 福州350007(陈光水,谢锦升,杨玉盛)
基金项目:福建省教育厅科学基金资助项目(K02051)
摘    要:通过2 400 m2样地调查,研究福建南平溪后安曹下76年生杉木丰产林群落山坡和山洼部位的植物区系组成、群落外貌、多样性指数等群落生态特征,结果表明:老龄杉木群落物种组成丰富,共有维管束植物71科,119属,168种;蕨类植物种类比例大;种子植物属的分布区类型以泛热带成分占的比例最高(山坡和山洼部分分别为27.59%和34.55%),热带性分布成分占优势(山坡和山洼部分分别为70.11%和74.55%),体现了群落的中亚热带性质;各层次的多样性表现为:灌木层(包括幼苗幼树)>草本层>乔木层;坡位因子对老龄杉木群落生态特征产生一定的影响.

关 键 词:老龄杉木  群落特征  区系分析

Ecological Features of an Old-growth Chinese Fir Community at Ancaoxia in Nanping of Fujian Province
HE Zong-ming,CHEN Guang-shui,XIE Jin-sheng,YOU Shui-sheng,YANG Yu-sheng.Ecological Features of an Old-growth Chinese Fir Community at Ancaoxia in Nanping of Fujian Province[J].Fujian Geography,2007(1).
Authors:HE Zong-ming  CHEN Guang-shui  XIE Jin-sheng  YOU Shui-sheng  YANG Yu-sheng
Institution:HE Zong-ming1,CHEN Guang-shui2,XIE Jin-sheng2,YOU Shui-sheng1,YANG Yu-sheng2
Abstract:The ecological features of a 76-year-old Chinese fir community,such as floristic composition,community appearance,and plant species diversity were studied.The sample plots were located at Ancaoxia,Nanping,Fujian Province,with an area of 2 400 m2.The results showed that the community had plentiful flora belonging to 71 families,119 genera and 168 species,and with a high percentage of fern species.Pantropic had the highest proportion among different areal types of genus of spermatophyte in the community(27.59% in the hillside and 34.55% in the low-land).The dominant areal types of genus of spermatophyte in the community were tropical components(70.11% in the hillside and 74.55% in the low-land),reflecting the middle subtropical characteristics of the community.The order of Shannon-Wiener species diversity index was shrub layer(including tree seedlings and saplings)>herb layer>tree layer.Environmental factor of slope position had some impacts on the ecological features of the old-growth Chinese fir community.
Keywords:Old-growth Chinese fir  community features  flora analysis
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