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西双版纳20公顷样地热带森林植被数量分类与排序

张容1,董廷发1,邓晓保2,刘俊雁1,2*   

  1. (1西南野生动植物资源保护教育部重点实验室, 西华师范大学生命科学学院, 四川南充 637009;2中国科学院西双版纳热带植物园热带森林生态学重点实验室, 云南勐腊 666303)
  • 出版日期:2018-02-10 发布日期:2018-02-10

Vegetation numerical classification and ordination of a 20hectare tropical forest plot in Xishuangbanna, Southwest Yunnan.

ZHANG Rong1, DONG Ting-fa1, DENG Xiao-bao2, LIU Jun-yan1,2*   

  1. (1Key Laboratory of Southwest China Wildlife Resources Conservation, Ministry of Education, and College of Life Sciences, China West Normal University, Nanchong 637009,Sichuan, China; 2Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla 666303, Yunnan, China).
     
  • Online:2018-02-10 Published:2018-02-10

摘要:

为了区分热带森林的群落特征并了解其群落特征与地形因子之间的相互关系,以西双版纳20 hm2森林动态监测样地为研究对象,对样地内500个森林群落样方采用Cluster聚类分析方法进行分类和采用除趋势对应分析(DCA)、典范对应分析(CCA)方法进行排序。结果表明:(1)西双版纳热带森林动态监测样地森林群落分为2个类型:热带季节雨林和热带山地常绿阔叶林;(2)植被类型的划分与CCA排序的结果相吻合,CCA排序轴第一、二轴呈现了海拔和凹凸度的梯度变化,并且两者总体上可以对83.9%的植被分布格局进行解释,表明海拔和凹凸度因子对该地区植被类型的分布起着决定性作用;(3)对优势物种的DCA和CCA排序表明不同物种对地形的要求存在差异,其分布格局同样主要受海拔和凹凸度的影响;(4)聚类分析与DCA和CCA排序的结果,同时表明了该地区森林植被的垂直分布格局。此方法可有效解释植被分布格局与地形之间的内在联系,为热带森林的管理和保护提供科学依据。
 

关键词: 胞外酶活性, 增温, 土壤深度

Abstract:

To distinguish the vegetation types of tropical forest and understand the relationship between the community characteristics and topographical factors, we investigated the vegetation characteristics and topographical factors of 500 quadrats in a 20 hm2 forest dynamics plot (FDP) in Xishuangbanna. Cluster analysis was used for community classification. The detrended correspondence analysis (DCA) and canonical correspondence analysis (CCA) were used toassign ordination of the forest communities. The results showed that: (1) The forest communities were classified into two types: tropical seasonal rain forest and tropical montane evergreen broad leaved forest; (2) The result from CCA ordination of 500 quadrats was consistent with that from cluster analysis, and CCA axis 1 and axis 2 showed the change of elevation and convexity gradient, which explained 83.9% of vegetation distribution pattern, indicating that the elevation and convexity factors played a crucial role in driving the distribution of vegetation types in the FDP; (3) DCA and CCA of dominant species showed that adaptation of plant species to thetopography was different and the distribution pattern of those species were mainly affected byelevation and convexity; (4) The results of cluster analysis, DCA and CCA unequivocallyindicated the existence of vertical distribution pattern of forest vegetation in the FDP. Therefore, the inherent relationship between vegetation distribution and topography could be uncovered by the combination of both methods, thus shedding new light for the management and conservation of tropical forests.
 

Key words: soil depth, warming, extracellular enzyme activities