文献类型：期刊文献

英文题名：Spatial structural characteristics of three hardwood species in Korean pine broad-leaved forest-Validating the bivariate distribution of structural parameters from the point of tree population

作者：Li, Yuanfa[1] Hui, Gangying[2] Zhao, Zhonghua[2] Hu, Yanbo[2] Ye, Shaoming[1]

第一作者：Li, Yuanfa

通信作者：Ye, SM[1]

机构：[1]Guangxi Univ, Coll Forestry, Nanning 530004, Guangxi Provinc, Peoples R China;[2]Chinese Acad Forestry, State Forestry Adm, Res Inst Forestry, Key Lab Tree & Breeding & Cultivat, Beijing 100091, Peoples R China

年份：2014

卷号：314

起止页码：17-25

外文期刊名：FOREST ECOLOGY AND MANAGEMENT

收录：;EI(收录号：20135217138736);Scopus(收录号：2-s2.0-84890763792);WOS:【SCI-EXPANDED(收录号:WOS:000331851100003)】；

基金：We thank Tianxi Lin, Xianlong Zhang, Xiangju Wu, Qiuyan Zhang, Xiandong Wu, and Haitao Zhang for their cooperation with our field survey. This paper was financially supported by the National Sci-Tech Support Plan of China (2012BAD22B03).

语种：英文

外文关键词：Amur lilac; Bivariate distribution; China ash; Manchurian walnut; Population structure; Structural parameter

摘要：Many indices can be used to describe the structural characteristics of tree populations at the forest stand scale. However, each of these indices can only express the whole or unilateral structure, i.e., none can simultaneously provide two or more aspects of the structural attributes of a tree population. The purpose of this study is to validate the bivariate distribution of structural parameters a spatial structure analysis method based on the relationships between nearest-neighbor tree groups and to display its ability of analyzing tree population. Three common associated tree species, China ash (Fraxinus mandshurica Rupr.), Manchurian walnut (Juglans mandshurica Maxim.), and Amur lilac (Syringa amurensis Rupr.), in a mixed forest of China ash-Manchurian walnut were used as an example to validate the method. This type of mixed forest is one of the most common Korean pine broad-leaved forests in northeast China. Each population and resident individuals within different size classes were analyzed in detail. Our results demonstrate that the new method not only effectively reflects the similarities and differences among the three populations from two aspects, but also well represents the structural differentiation among trees within a species. The method provides much more structural information than most traditional methods, which may be helpful to further our understanding of population structure and to discover and protect biodiversity in the future. (C) 2013 Elsevier B.V. All rights reserved.