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古田山10种主要森林群落类型的α和β多样性格局及影响因素
引用本文:翁昌露,张田田,巫东豪,陈声文,金毅,任海保,于明坚,罗媛媛.古田山10种主要森林群落类型的α和β多样性格局及影响因素[J].生物多样性,2019,27(1):33.
作者姓名:翁昌露  张田田  巫东豪  陈声文  金毅  任海保  于明坚  罗媛媛
作者单位:1 中国计量大学生命科学学院, 杭州 310018
2 浙江大学生命科学学院, 杭州 310058
3 钱江源国家公园生态资源保护中心, 浙江开化 324300
4 中国科学院植物研究所植被与环境变化国家重点实验室, 北京 100093
基金项目:浙江省科技计划(2015C02016);科技部基础性工作专项专题(2015FY210200-17);国家自然科学基金(31361123001)
摘    要:古田山国家级自然保护区地处中亚热带, 地形复杂, 森林群落类型丰富。我们在保护区内10种主要森林群落类型中网格化布置并调查了79个20 m × 20 m样地, 分析了不同群落类型内及相互间的α (Shannon-Wiener指数)、β (Horn-Morisita相异性指数)多样性分布格局及其影响因素。结果表明: (1) α多样性主要受到群落类型、海拔和坡向的影响。α多样性在不同群落类型间差异显著, 并且随海拔升高、坡向从南到北, α多样性增大。(2) β多样性主要受到群落类型和海拔的影响, 受空间距离的影响不显著。不同群落类型间的β多样性显著大于同一群落类型内部, 并且随海拔升高β多样性增大。总体而言, 群落类型和海拔是古田山森林群落α和β多样性的主要影响因子, 表明生境过滤等机制对该区域的森林物种多样性格局起着主要作用。

关 键 词:群落构建  亚热带森林  α多样性    β多样性    海拔  坡向  森林群落类型  
收稿时间:2018-06-20

Drivers and patterns of α- and β-diversity in ten main forest community types in Gutianshan,eastern China
Weng Changlu,Zhang Tiantian,Wu Donghao,Chen Shengwen,Jin Yi,Ren Haibao,Yu Mingjian,Luo Yuanyuan.Drivers and patterns of α- and β-diversity in ten main forest community types in Gutianshan,eastern China[J].Biodiversity Science,2019,27(1):33.
Authors:Weng Changlu  Zhang Tiantian  Wu Donghao  Chen Shengwen  Jin Yi  Ren Haibao  Yu Mingjian  Luo Yuanyuan
Institution:1 College of Life Sciences,China Jiliang University, Hangzhou 310018
2 College of Life Sciences, Zhejiang University, Hangzhou 310058
3 Center of Ecology and Resources, Qianjiangyuan National Park, Kaihua, Zhejiang 324300
4 State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093
Abstract:Located in the subtropical zone of China, Gutianshan National Nature Reserve (GNNR) contains a variety of forest community types and is rugged in terrain. Here, we established 79 forest plots, each 20 m × 20 m in area, within the ten main community types of GNNR. Based on this, we analyzed the α- (Shannon- Wiener index) and β- (Horn-Morisita dissimilarity index) diversity patterns of and between these community types and their underlying driving factors. We found that: (1) Community type, elevation and aspect were the most important determinants of α-diversity. α-diversity showed significant differences between community types, and increased with elevation and northness. (2) Community type and elevation, but not spatial distance significantly affected β-diversity. β-diversity between community types was higher than within community type, and β-diversity also increased with increasing elevation. These results show that community type and elevation are the main influencing factors of the α- and β-diversity patterns in GNNR forests, and further suggest the importance of drivers, such as habitat filtering, on the assembly of GNNR forests.
Keywords:community assembly  subtropical forests  α diversity    β diversity    elevation  aspect  community type  
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