文献类型：期刊文献

英文题名：Modeling Crown Biomass for Four Pine Species in China

作者：Zou, Wen-Tao[1] Zeng, Wei-Sheng[2] Zhang, Lian-Jin[3] Zeng, Ming[4]

第一作者：Zou, Wen-Tao

通信作者：Zeng, WS[1]

机构：[1]Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100101, Peoples R China;[2]State Forestry Adm, Acad Forest Inventory & Planning, Beijing 100714, Peoples R China;[3]Chinese Acad Forestry, Forestry Expt Ctr North China, Beijing 102300, Peoples R China;[4]Hangzhou Dianzi Univ, Res Inst Management Sci & Informat Engn, Hangzhou 310018, Peoples R China

年份：2015

卷号：6

期号：2

起止页码：433-449

外文期刊名：FORESTS

收录：;EI(收录号：20150900586702);Scopus(收录号：2-s2.0-84923574119);WOS:【SCI-EXPANDED(收录号:WOS:000350212200011)】；

基金：The authors thank the National Biomass Modeling Program in Continuous Forest Inventory (NBMP-CFI), funded by the State Forestry Administration of China, for providing crown biomass measurement data of 754 sample pine trees: P. massoniana, P. yunnanensis, P. tabulaeformis and P. elliottii. Review comments made by J. H. Meng and other two referees helped to improve the presentation of this paper. The Natural Science Foundation of China (No. 31270697) also supported this study.

语种：英文

外文关键词：Errors - Forestry - Multivariable systems - Nonlinear equations

摘要：To analyze the main variables affecting crown biomass, we measured crown biomass and a number of variables describing tree size, such as stem diameter at breast height (D), tree height (H), crown width (Cw) and crown length (Cl), from 754 sample trees of four pine species in China, specifically, Pinus massoniana, P. yunnanensis, P. tabulaeformis and P. elliottii. In addition, we developed individual tree crown biomass equations and compatible branch and needle biomass equations based on one-, two- and multi-variable models using nonlinear mixed-effects modeling and error-in-variable simultaneous equations. The results showed that: (i) crown biomass was strongly correlated to D and H, and the new combined variables (D-4/H) and (D-2/H) were suitable for modeling two- and multi-variable crown biomass equations, respectively; (ii) the four species were ranked as P. yunnanensis, P. massoniana, P. elliottii and P. tabulaeformis from small to large based on estimates from crown biomass equations, and the crown biomass estimate of P. tabulaeformis was about 60% greater than that of P. yunnanensis; (iii) the ratio of branch to crown biomass increased with increasing D, and the four species were ranked as P. elliottii, P. tabulaeformis, P. massoniana and P. yunnanensis from small to large by the proportion of the branch to crown biomass; (iv) the mean prediction errors (MPE's) of the crown biomass equations for the four species were less than 10%, which could meet precision needs for biomass estimation.