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.

Journal: Frontiers in plant science
Published Date: Jan 1, 2025

Abstract

INTRODUCTION: Chinese fir 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 methods often face limitations in terms of accuracy and efficiency, highlighting the need for more robust modeling approaches.

Authors

  • Xinsheng Zhu
    Department of Thoracic Surgery, Shanghai Pulmonary Hospital Tongji University, Shanghai, People's Republic of China.
  • Tianbao Huang
    Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China.
  • Ziyang Liu
    Department of Pharmacy Practice and Science, University of Arizona, Tucson, AZ, USA.
  • Lang Bai
    Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China.
  • Yongfeng Yang
    Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055 China.
  • Jinsheng Ye
    Guangdong Forestry Survey and Planning Institute, Guangzhou, China.
  • Qiulai Wang
    Guangdong Forestry Survey and Planning Institute, Guangzhou, China.
  • Ram P Sharma
    Institute of Forestry, Tribhuvan University, Kathmandu, Nepal.
  • Liyong Fu
    Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, PR China. Electronic address: fuliyong840909@163.com.

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