基于系统发育的燕山东麓植物群落的构建机制  

Community Assembly Rules of the East of Yanshan Mountain Based on Phylogeny

作　　者：唐丽丽 陈国平[1] 冯小梅[2] 赵铁建[2] 石福臣[1] 

机构地区：[1]南开大学生命科学学院,天津300071 [2]天津八仙山国家级自然保护区管理局,天津301900

出　　处：《植物研究》2017年第6期807-815,共9页Bulletin of Botanical Research

基　　金：国家科技部基础性工作专项(2011FY110300);天津市野生资源植物调查项目(20120024002)资助~~

摘　　要：群落构建机制对解释植物物种共存、多样性的维持与发展至关重要。本文以燕山山脉东麓的植物群落为研究对象,野外调查了374个植物样方(20 m×30 m)。通过多元回归树、植物群落亲缘关系指数、高斯核函数密度估计等研究,重点探究了植物群落构建的机制。研究结果表明,燕山东麓的植物群落可划分为以荆条(Vitex negundo var.heterophylla)、槲栎(Quercus aliena)、蒙古栎(Quercus mongolica)、栓皮栎(Quercus variabilis)和白蜡树(Fraxinus chinensis)为优势的5个群系。植物最大树高这一功能性状表现出了较强的系统发育信号,此区域植物功能性状保守性较强。荆条灌丛、槲栎、蒙古栎群系的群落构建过程以环境过滤为主导,栓皮栎群系的群落构建过程以负密度制约为主导,白蜡树群落的构建机制有由环境过滤向负密度制约过渡的趋势。另外,本文引用高斯核密度分布估计对亲缘关系指数的分布进行估计,直观、真实地反映了亲缘关系指数的个体值及整体趋势,为探讨群落构建的生态位机制和中性理论间的争论提供更直接的证据。Analysis of community assembly rules plays a crucial role in understanding species coexistence and the maintenance of biodiversity of the community. We conducted field investigations and statistical analysis on 374 plant plots（20 m x 30 m） in the east of Yanshan Mountain, and used Multiple Regression Tree（MRT）, phylogenetic index and Gaussian kernel density estimation （Gaussian KDE） on data collected from study sites to explore its community assembly rules. The whole community could be divided into five formations, including Vitex negundo var. heterophylla, Quercus aliena, Q. mongolica, Q. variabilis and Fraxinus chinensis. Among these forms, environmental filtering mainly influenced the community assembly process in V. negundo var. heterophylla, Q. aliena and Q. mongolica, competition controlled the speciation in Q. variabilis, while in F. chinensis, the pattern had been changing from environmental filtering to competition. In addition, Gaussian KDE was introduced to illustrate net relatedness index（NRI） and nearest taxon index（NTI） values, providing a new intuitive perspective to explore the argument between niche-assembly and neutral processes.

关 键 词：燕山东麓 多元回归树(MRT) 系统发育 高斯核密度估计(Gaussian KDE) 群落构建机制 

分 类 号：S718.54[农业科学—林学]