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
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  • 英文篇名:Drivers and patterns of α-and β-diversity in ten main forest community types in Gutianshan, eastern China
  • 作者:翁昌露 ; 张田田 ; 巫东豪 ; 陈声文 ; 金毅 ; 任海保 ; 于明坚 ; 罗媛
  • 英文作者:Changlu Weng;Tiantian Zhang;Donghao Wu;Shengwen Chen;Yi Jin;Haibao Ren;Mingjian Yu;Yuanyuan Luo;College of Life Sciences,China Jiliang University;College of Life Sciences, Zhejiang University;Center of Ecology and Resources,Qianjiangyuan National Park;State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences;
  • 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
  • 英文关键词:community assembly;;subtropical forests;;α diversity;;β diversity;;elevation;;aspect;;community type
  • 中文刊名:SWDY
  • 英文刊名:Biodiversity Science
  • 机构:中国计量大学生命科学学院;浙江大学生命科学学院;钱江源国家公园生态资源保护中心;中国科学院植物研究所植被与环境变化国家重点实验室;
  • 出版日期:2019-01-15
  • 出版单位:生物多样性
  • 年:2019
  • 期:v.27
  • 基金: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)
  • 语种:中文;
  • 页:SWDY201901005
  • 页数:9
  • CN:01
  • ISSN:11-3247/Q
  • 分类号:37-45
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。
        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-(ShannonWiener 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.
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