文献类型：期刊文献

英文题名：The bivariate distribution characteristics of spatial structure in natural Korean pine broad-leaved forest

作者：Li, Yuanfa[1] Hui, Gangying[1] Zhao, Zhonghua[1] Hu, Yanbo[1]

第一作者：Li, Yuanfa

通信作者：Hui, GY[1]

机构：[1]Chinese Acad Forestry, State Key Lab Tree Genet & Breeding, Res Inst Forestry, Beijing 100091, Peoples R China

年份：2012

卷号：23

期号：6

起止页码：1180-1190

外文期刊名：JOURNAL OF VEGETATION SCIENCE

收录：;Scopus(收录号：2-s2.0-84869090032);WOS:【SCI-EXPANDED(收录号:WOS:000310798600018)】；

基金：We are grateful to Tianxi Lin, Xianlong Zhang, Xiangju Wu, Qiuyan Zhang, Xiandong Wu and Haitao Zhang for their invaluable help during this study. We also thank the National Sci-Tech Support Plan of China (2012BAD22B03) for financial support of this research.

语种：英文

外文关键词：Broad-leaved forest; Dominance; Mingling; Uniform angle index

摘要：Aims Spatial structure is important in describing forest stand structure and change. We present a new method for the quantitative analysis of forest spatial structure based on the relationship of nearest neighbour tree groups. Location Six hundred m a.s.l., Dongdapo Natural Reserve, Jiaohe, Jilin Province, China Methods Six plots in three common stand types of natural Korean pine broad-leaved forest in northeast China were used to validate the method. Each plot measured 100x100m, and all trees with DBH =5cm were marked and located using a Total Station. We calculated bivariate distribution of the structural parameters, uniform angle index, mingling and dominance using Winkelmass and Excel software. Results Most trees in the forest were highly mixed by species and randomly distributed. Individuals with high DBH values were typically surrounded by other species; trees within stochastic distribution patterns were usually surrounded by different species; and medium-sized trees were randomly distributed. Conclusions The bivariate distribution of structural parameters can provide more direct and useful information about the heterogeneity of spatial structure than can univariate distributions or other conventional stand descriptors. This could be helpful for selective thinning in continuous cover forest management and in modelling and restoring forests.