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曾文豪,石慰,唐一思,郑维艳,曹坤芳.广西地区喀斯特与非喀斯特山地森林树木物种多样性及系统发育结构比较.生态学报,2018,38(24):8708~8716 本文二维码信息
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广西地区喀斯特与非喀斯特山地森林树木物种多样性及系统发育结构比较
Comparison of the species diversity and phylogenetic structure of tree communities in karst and non-karst mountains in Guangxi
投稿时间:2018-08-02  修订日期:2018-10-12
DOI: 10.5846/stxb201808021643
关键词喀斯特  非喀斯特  物种多样性  群落构建  系统发育结构
Key Wordskarst  non-karst  species diversity  community assembly  phylogenetic structure
基金项目国家重点研发计划子课题(2016YFC0502101-04);广西重点研发计划项目(桂科AB16380254);广西"八桂学者"人才项目(2016A32)
作者单位E-mail
曾文豪 广西大学林学院, 广西森林生态与保育重点实验室, 南宁 530004
广西大学, 亚热带农业生物资源保护与利用国家重点实验室, 南宁 530004 
 
石慰 广西大学林学院, 广西森林生态与保育重点实验室, 南宁 530004
广西大学, 亚热带农业生物资源保护与利用国家重点实验室, 南宁 530004 
 
唐一思 广西大学林学院, 广西森林生态与保育重点实验室, 南宁 530004
广西大学, 亚热带农业生物资源保护与利用国家重点实验室, 南宁 530004 
 
郑维艳 广西大学林学院, 广西森林生态与保育重点实验室, 南宁 530004
广西大学, 亚热带农业生物资源保护与利用国家重点实验室, 南宁 530004 
 
曹坤芳 广西大学林学院, 广西森林生态与保育重点实验室, 南宁 530004
广西大学, 亚热带农业生物资源保护与利用国家重点实验室, 南宁 530004 
kunfangcao@gxu.edu.cn 
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摘要:
以广西地区植被调查集资料总共365个群落样方(样方面积在300-1000 m2,50%左右为400 m2)为基础,将样方分为海拔≤1000 m喀斯特和非喀斯特森林以及海拔 > 1000 m的非喀斯特森林三类生境,探讨这3种生境森林物种丰富度和群落系统发育结构差异及其与年均温的关系。结果表明,海拔≤1000 m非喀斯特森林含有4种以上的科比海拔 > 1000 m非喀斯特森林多24科,比喀斯特森林多18科,其中樟科、壳斗科、山茶科、杜鹃花科等都是两种非喀斯特森林生境的重要组成科;大戟科为喀斯特森林含有种数最多的科,其中出现在非喀斯特森林的山茶科和杜鹃花科等没有在喀斯特森林出现。森林物种多样性及系统发育指数与年均温不相关或相关不强;海拔≤1000 m的喀斯特与非喀斯特森林的Gleason物种多样性指数没有显著差异,而海拔 > 1000 m的非喀斯特森林的Gleason指数比另外两种生境显著高。海拔≤1000 m非喀斯特森林系统发育多样性PD指数比中山地带的非喀斯特生境的森林高。喀斯特森林和海拔 > 1000 m非喀斯特的绝大部分样地以及海拔≤1000 m的非喀斯特大部分样地都表现出系统发育结构聚集,推测生境过滤在广西地区喀斯特和非喀斯特森林群落构建中发挥着主要作用。但是喀斯特和海拔 > 1000 m的非喀斯特两种生境森林群落发生系统发育发散的比例都比海拔≤1000 m的非喀斯特森林低,揭示生境过滤在这两个生境更为明显。
Abstract:
We compiled data of 365 tree community plots from the literature, which were sampled across Guangxi and varied in plot area from 400 to 1000 m2(with 50% of plots 400 m2), and characterized the species diversity and community phylogenetic diversity (PD) and structure, and their relationship with the mean annual temperature (MAT) of the sampling location in three types of forest habitats:non-karst with an elevation of ≤ 1000 m, non-karst with an elevation of > 1000 m, and karst with an elevation of ≤ 1000 m. We found that in comparison of the number of the families with more than 4 species in the forests, the non-karst forests with an elevation of ≤ 1000 m contained 24 more families than non-karst forests with an elevation of < 1000 m, and 18 more families than karst forests. Lauraceae, Fagaceae, Theaceae, and Ericaceae are important and common families of non-karst forests at both low and high elevations. Euphorbiaceae was the family that contains the largest number of species in karst forests. Theaceae and Ericaceae that appeared in the non-karst forests were absent in karst forests. The species diversity and phylogenetic structure index of the tree communities in the three habitats were not significantly associated with the MAT. Gleason's diversity indices of karst and non-karst forests with an elevation of ≤ 1000 m were not significantly different, but significantly lower that of non-karst forests with an elevation of > 1000 m. The PD of the non-karst forests with elevations ≤ 1000 m was higher than that of the non-karst forests with elevations of either > 1000 m, indicating the former is favourable for hosting the more distant-related species. The phylogenetic net relatedness index (NRI) and the nearest taxon index (NTI) revealed that most of the forest plots in the three habitats showed phylogenetic clustering, and a small proportion of plots displayed phylogenetic overdispersion or randomness. These suggest that habitat filtration plays a major role in the community assembly of karst and non-karst forests in Guangxi. The proportions of plots with phylogenetic overdispersion in the karst forests and non-karst forests with an elevation of > 1000 m were lower that in the non-karst forests with an elevation of ≤ 1000 m, revealing that environmental filtration was stronger in these two habitats.
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