文献类型：期刊文献

英文题名：Estimating Biomass partitioning in Mytilaria laosensis Using Additive Models

作者：Qin, Guoming[1] Li, Rongsheng[1] Zou, Wentao[1] Yu, Niu[1] Yang, Jinchang[1] Yin, Guangtian[1] Wang, Zhihai[1] Chen, Zhaoli[1]

第一作者：Qin, Guoming

通信作者：Li, RS[1]

机构：[1]Chinese Acad Forestry, Res Inst Trop Forestry, Guangzhou 510520, Peoples R China

年份：2020

卷号：137

期号：2

起止页码：85-107

外文期刊名：AUSTRIAN JOURNAL OF FOREST SCIENCE

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000543799400002)】；

基金：This research is funded by Forestry Scientific and Technological Innovation Funds of Guangdong Province (2019KJCX004). The authors thank Haikun Wu for help with data collection. We also would like to thank Xuemei Yan and Weijun He for their help in data analysis and Chunsheng Wang for his comments on this article. Sincere thanks to the reviewers for their useful suggestions on earlier drafts of this paper.

语种：英文

外文关键词：allometric model; biomass allocation; SUR; Southeast China

摘要：If the additivity of the biomass allometric equation is not taken into account, it can result in erroneous estimation of forest biomass. The aim of this study was to evaluate biomass allocation patterns within separate tree parts, and to develop additive allometric equations for Mytilaria laosensis in southeast China. For this study, 42 destructive sampled trees were used to develop allometric equations for total biomass. We estimated biomass allocation by calculating the biomass fraction of each component (stem, branches, roots and leaves). We examined the relationships between each biomass fraction and diameter at breast height, tree height and crown diameter as independent variables. The seemingly unrelated regressions method was used to fit the biomass into additive allometric equations. The stem had the largest proportion of biomass (70.44%), followed by roots (20.35%), and branches (7.17%), with the smallest proportion of biomass being in the leaves (2.04%). Stem, leaf, and branch biomass ratios increased with diameter at breast height, while a reverse trend was found for belowground biomass ratios. The additive biomass models showed a good model fit explaining 94-98% of variance. This study contributes to species-specific allometric equations and the knowledge of crown, aboveground, and total biomass, which is lacking for most subtropical forests. The allometric biomass model constructed in our study can be used to estimate the biomass and carbon pool of Mytilaria laosensis plantations in Southeast China.