文献类型：期刊文献

英文题名：Height-diameter equations for larch plantations in northern and northeastern China: a comparison of the mixed-effects, quantile regression and generalized additive models

作者：Zang, Hao[1] Lei, Xiangdong[1] Zeng, Weisheng[2]

第一作者：Zang, Hao

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, Acad Forest Inventory & Planning, Beijing 100714, Peoples R China

年份：2016

卷号：89

期号：4

起止页码：434-445

外文期刊名：FORESTRY

收录：;Scopus(收录号：2-s2.0-84984843567);WOS:【SCI-EXPANDED(收录号:WOS:000383899000011)】；

基金：National Natural Science Foundation of China (Grant No 31270679).

语种：英文

摘要：Alternative methods have been used for developing tree basic and generalized height-diameter models, including non-linear least-squares regression, non-linear mixed-effects method, quantile regression (QR) and a generalized additive model (GAM). However, these approaches have not been thoroughly compared. The purpose of this study was to compare these methods applied to tree height-diameter models for larch plantations in northern and northeastern China. The data were obtained from an extensive database curated by the China National Forest Inventory (NFI) that covers a wide distribution and range of stand conditions, including 5684 paired heights and diameters in 342 plots. Random effects at the Province, species and plot levels, and a combination of Province and species into the basic and generalized H-D models were incorporated. This study demonstrated that the mixed-effects basic model provided the best performance for model fitting and validation; QR could represent variable H-D relationships at different quantiles and the GAM was a suitable alternative for flexible modelling of the H-D relationship, especially for generalized H-D model. This finding indicates that the mixed-effects basic model does not require additional variables and is an adequate tool for generating missing height measurements for larch plantations in northern and northeastern China.