南京林业大学学报（自然科学版）2016，Vol.40Issue(2)：107-112,6.DOI:10.3969/j.issn.1000-2006.2016.02.018
苏南丘陵山区典型次生森林群落的点格局分析
Point pattern analyses on typical secondary forest communities in the mountainous region of southern Jiangsu Province
摘要
Abstract
To explore spatial structure of secondary forest communities at different succession series in the hilly area of northern subtropical China, we set up 36 sampling plots in the Lishui Foresty Farm, Jiangsu Province, and conducted detailed field investigations on the woody plants in these plots. We distinguished four typical community types using ca⁃nonical correlation analysis ( CCA) across our study plots, and then used point pattern analysis to characterize the spatial distribution patterns of the main tree species for these community types. Our results suggested that in the study ar⁃ea typical forest communities were represented as Pinus massoniana-Quercus acutissima community, Ilex chinensis-P. massoniana community, Q. acutissima - Q. variabilis community and Cunninghamia lanceolata - Vernicia fordii community. Soil conditions appeared to be the primary factor resulting in the difference of community composition. Most dominant tree species in the study communities showed uniform patterns on the scale of >3 m, suggesting that intraspe⁃cific competition underlies such pattern formation. Interspecific spatial association often manifested neutral patterns, ex⁃cept for those species such as Q. acutissima and Q. variabilis, which presented significant negative correlations. Interspe⁃cific competition due to similar functional traits of these tree species was a likely driving mechanism of such association. Our study could provide a useful reference to effective management of secondary forests in northern subtropical China.关键词
次生林/群落演替/空间格局/种间关联/北亚热带Key words
secondary forest/community structure succession/spatial pattern/inter specific association/northern subtropics分类
农业科技引用本文复制引用
薛岑,刘茂松,康昕,郑阿宝,侯嫦英,关庆伟,徐驰..苏南丘陵山区典型次生森林群落的点格局分析[J].南京林业大学学报（自然科学版）,2016,40(2):107-112,6.基金项目
江苏省林业三新工程项目（lysx［2012］21）；国家自然科学基金项目 （）
