Developing a generalized nonlinear mixed-effects biomass model at stand-level under different age conditions for Chinese fir based on LiDAR and ground survey data in southern China

Developing a generalized nonlinear mixed-effects biomass model at stand-level under different age conditions for Chinese fir based on LiDAR and ground survey data in southern China

IntroductionChinese fir (Cunninghamia lanceolata) is a crucial afforestation and timber species in southern China. Accurate estimation of its stand biomass is vital for forest resource assessment, ecological industry development, and ecosystem management. However, traditional biomass prediction meth...

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Bibliographic Details
Main Authors: Xinsheng Zhu, Tianbao Huang, Ziyang Liu, Lang Bai, Yongfeng Yang, Jinsheng Ye, Qiulai Wang, Ram P. Sharma, Liyong Fu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Plant Science
Subjects:
airborne LiDAR
forest biomass
regression modeling
age grouping
dummy variable modeling
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2025.1532138/full
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