文献类型：期刊文献

英文题名：Construction of compatible and additive individual-tree biomass models for Pinus tabulaeformis in China

作者：Zeng, WeiSheng[1] Zhang, LianJin[2] Chen, XinYun[1] Cheng, ZhiChu[1] Ma, KeXi[3] Li, ZhiHua[3]

第一作者：Zeng, WeiSheng

通信作者：Zeng, WS[1]

机构：[1]State Forestry Adm, Acad Forest Inventory & Planning, Beijing 100714, Peoples R China;[2]Chinese Acad Forestry, Forestry Expt Ctr North China, Beijing 102300, Peoples R China;[3]State Forestry Adm, North Western Forest Inventory & Planning Inst, Xian 710048, Peoples R China

年份：2017

卷号：47

期号：4

起止页码：467-475

外文期刊名：CANADIAN JOURNAL OF FOREST RESEARCH

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000398915400006)】；

基金：The authors acknowledge the National Biomass Modeling Program in Continuous Forest Inventory (NBMP-CFI), which was funded by the State Forestry Administration of China, for providing measured biomass data for Chinese pine. The authors also thank the Forestry Departments of related provinces for their efforts in sample collection. This paper was financially supported by the Natural Science Foundation of China (Grants nos. 31270697 and 31370634) and the Fundamental Research Funds for the Central Non-profit Research Institution of CAF (Grant no. CAFYBB2014QA035). We also thank all of the reviewers and Editors for reading the manuscript and providing very useful comments.

语种：英文

外文关键词：aboveground biomass; belowground biomass; biomass conversion factor; root-to-shoot ratio; Pinus tabulaeformis

摘要：Current biomass models for Chinese pine (Pinus tabulaeformis Carr.) fail to accurately estimate biomass in large geographic regions because they were usually based on limited sample trees on local sites, incompatible with stem volume, and not additive among components and total biomass. This study was based on mensuration data of individual-tree biomass from large samples of Chinese pine. The purpose was to construct compatible and additive biomass models using the nonlinear error-in-variable simultaneous equations and dummy variable modeling approach. This approach could ensure compatibility of an aboveground biomass model with a biomass conversion factor (BCF) and a stem volume model and compatibility of a belowground biomass model with a root-to-shoot ratio (RSR) model. Also, stem, branch, and foliage biomass models were additive to the aboveground biomass model. Results showed that mean prediction errors (MPEs) of the developed one-and two-variable aboveground biomass models were less than 4% and MPEs of the three-component (stem, branch, and foliage) and belowground biomass models were less than 10%. Furthermore, the effects of main climate variables on above-and below-ground biomass were analyzed. Aboveground biomass was related to mean annual temperature (MAT), while belowground biomass had no significant relationship with either MAT or mean annual precipitation (MAP). The developed models provide a good basis for estimating biomass of Chinese pine forests.