桂西南蚬木群落乔木层优势种的种间关联性分析

【目的】分析桂西南蚬木群落优势种群的种间关联性,揭示其种群间的共生关系,为桂西南喀斯特退化生态系统的植被恢复提供理论支持。【方法】基于样方调查,采用方差分析、X2检验、Pearson相关系数和Spearman秩相关系数检验,测定桂西南喀斯特山地蚬木群落乔木层优势种的总体关联性、种间联结和种间相关性,并结合PCA（Principal components analysis,主成分分析）排序进行生态种组划分。【结果】蚬木群落优势种群的总体关联性呈不显著正关联（P〉0.05）,种群间联结性较弱;X2检验有51种对呈正关联,50种对呈负关联,4种对无关联,正负关联种对数比值为1.02;Pearson相...

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Bibliographic Details
Published in南方农业学报 Vol. 47; no. 2; pp. 256 - 262
Main Author 申文辉 李志辉 欧芷阳 何琴飞 谭长强 彭玉华 谭一波
Format Journal Article
LanguageChinese
Published 中南林业科技大学,长沙410004 2016
广西林业科学研究院,南宁530002%中南林业科技大学,长沙,410004%广西林业科学研究院,南宁,530002
Subjects
喀斯特山区
数量分析
桂西南
生态种组
种间关系
蚬木群落
桂西南
数量分析
种间关系
喀斯特山区
Southwest Guangxi
E.hsienmu community
karst mountains
生态种组
quantitative analysis
interspecific association
ecospecies group
蚬木群落
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Summary:【目的】分析桂西南蚬木群落优势种群的种间关联性,揭示其种群间的共生关系,为桂西南喀斯特退化生态系统的植被恢复提供理论支持。【方法】基于样方调查,采用方差分析、X2检验、Pearson相关系数和Spearman秩相关系数检验,测定桂西南喀斯特山地蚬木群落乔木层优势种的总体关联性、种间联结和种间相关性,并结合PCA（Principal components analysis,主成分分析）排序进行生态种组划分。【结果】蚬木群落优势种群的总体关联性呈不显著正关联（P〉0.05）,种群间联结性较弱;X2检验有51种对呈正关联,50种对呈负关联,4种对无关联,正负关联种对数比值为1.02;Pearson相关系数及Spearman秩相关系数呈负相关的种对数分别占68.60%和62.70%,正、负相关种对数比值分别为0.46和0.58,表现为负关联趋势;15个优势种划分为5个生态种组,组内物种间关系多数呈正相关。【结论】桂西南蚬木群落乔木层优势种的种间联结较松散,物种分布格局相对独立,其优势种可划分为5个生态种组,组内物种对相同生境具有趋同适应性,组间物种具有不同的生态要求。
Bibliography:45-1381/S
E.hsienmu community; interspecific association; ecospecies group; quantitative analysis; karst mountains; Southwest Guangxi
SHEN Wen-hui,LI Zhi-hui,OU Zhi-yang,HE Qin-fei,TAN Zhang-qiang,PENG Yu-hua,TAN Yi-bo （1Central South University of Forestry ＆ Technology, Changsha 410004, China; 2Guangxi Forestry Research Institute, Nanning 530002, China）
Objective】The present experiment was conducted to investigate interspecific association between dominant species in Excentrodendron hsienm community and reveal interspecies symbiotic relationships, in order to provide theoretical basis for vegetation restoration of degraded karst ecosystem in Southwest Guangxi. 【Method 】Based on the quadrat survey, the overall correlation, interspecific association and correlation coefficients among 15 dominant species in tree layer were determined through variance analysis, X2-test, Pearson＇s correlation coefficient and Spearman＇s rank correlation coefficient test. And the dominant species were classified into different ecospec
ISSN:2095-1191
DOI:10.3969/j:issn.2095-1191.2016.02.256