文献类型：期刊文献

英文题名：Quantifying the Variability of Internode Allometry within and between Trees for Pinus tabulaeformis Carr. Using a Multilevel Nonlinear Mixed-Effect Model

作者：Diao, Jun[1,2] Lei, Xiangdong[1] Wang, Jingcai[2] Lu, Jun[1] Guo, Hong[1] Fu, Liyong[1] Shen, Chenchen[1] Ma, Wu[1] Shen, Jianbo[1]

第一作者：Diao, Jun

通信作者：Lei, XD[1]

机构：[1]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]State Forestry Adm, East China Forest Inventory & Planning Inst, Hangzhou 310019, Zhejiang, Peoples R China

年份：2014

卷号：5

期号：11

起止页码：2825-2845

外文期刊名：FORESTS

收录：;EI(收录号：20150400456851);Scopus(收录号：2-s2.0-84921517273);WOS:【SCI-EXPANDED(收录号:WOS:000345531000013)】；

基金：This study was supported by the Natural Science Foundation of China (Grant No. 30872022, 31100474). We thank Wei Xiang from Beijing Forestry University for helpful discussion on modelling. We acknowledge the three anonymous referees for their constructive comments and suggestions, which improved the manuscript.

语种：英文

外文关键词：internode allometry; mixed-effect models; Pinus tabulaeformis Carr.; variance of random effects

摘要：Allometric models of internodes are an important component of Functional-Structural Plant Models (FSPMs), which represent the shape of internodes in tree architecture and help our understanding of resource allocation in organisms. Constant allometry is always assumed in these models. In this paper, multilevel nonlinear mixed-effect models were used to characterize the variability of internode allometry, describing the relationship between the last internode length and biomass of Pinus tabulaeformis Carr. trees within the GreenLab framework. We demonstrated that there is significant variability in allometric relationships at the tree and different-order branch levels, and the variability decreases among levels from trees to first-order branches and, subsequently, to second-order branches. The variability was partially explained by the random effects of site characteristics, stand age, density, and topological position of the internode. Tree-and branch-level-specific allometric models are recommended because they produce unbiased and accurate internode length estimates. The model and method developed in this study are useful for understanding and describing the structure and functioning of trees.