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应用生态学报 ›› 1997, Vol. 8 ›› Issue (s1): 8-19.

• 研究论文 • 上一篇    下一篇

西双版纳勐养自然保护区植被的分布与生态特征

欧晓昆, 金振洲, 彭明春, 方波, 房俊民   

  1. 云南大学生态学与地植物学研究所, 昆明650091
  • 收稿日期:1997-05-09 修回日期:1997-08-28 出版日期:1997-12-25 发布日期:1997-12-25
  • 基金资助:

    加拿大国际发展研究中心(IDRC);云南省科委资助项目(948011)

Distribution of vegetations in Mengyang Nature Reserve of Xishuangbanna and their ecological characteristics

Ou Xiaokun, Jin Zhenzhou, Peng Mingchun, Fang Bo, Fang Junmin   

  1. Institute of Ecology and Geobotany, Yunnan University, Kunming 650091
  • Received:1997-05-09 Revised:1997-08-28 Online:1997-12-25 Published:1997-12-25

摘要: 对西双版纳勐养自然保护区植被的类型进行了划分,包括人工和自然群落,共有7个大类、15个群系、24个群落类型分布.对每个类型的主要组成种类、生态特征和分布现状进行了初步研究.利用地理信息系统软件制取植被图并获得了各种植被类型的分布面积和分布格局特征,这一地区亚热带季风常绿阔叶林的分布面积和所占比例最大,达总面积的41.26%;而热带雨林面积不超过总面积的10%.依据地形、海拔、气候和现状植被分布的规律,在获得景观类型图的基础上,得到了可以反映这一地区在完全自然条件下植被可能分布的状况的还原植被图,为保护区的发展和植被的恢复提供了理论依据。

关键词: 西双版纳, 热带, 自然保护区, 植被类型, 生态特性, 地理信息系统, 机理模型, 物种分布模型, 海洋物种, 统计模型, 模型验证

Abstract: Apreliminary study on the species composition, ecological characteristics and present distribution of vegetations in Mengyang area, the largest part of Xishuangbanna Nature Reserve, shows that there are 7 vegetation types, 15 formations, 24 community types in this area.The vegetation map was made by using GISsoftware (ARC/INFO), and the area and distribution pattern of each community was obtained.The subtropical monsoon evergreen broad leaved forest occupies the largest part, with an area of 41.26% of the whole, and the tropical rain forest occupies less than 10% of the whole area.According to the topography, altitude, climate characters and present distribution of the vegetation,and based on the landscape type map, an original vegetation map under natural conditions was obtained,which could provid a theory for the vegetation restoration, especially for the tropical rain forest and its habitat, and for the development of the Nature Reserve.

Key words: Xishuangbanna, Tropical area, Nature reserve, Vegetation type, Ecological characteristics, Geographical Information System, species distribution model, statistical model, marine species, model evaluation, mechanism model