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首页|期刊导航|森林生态系统(英文版)|Utilizing quantile regressions to predict vertical distribution of branch size in Larix olgensis Henry:Capturing the differentiated responses of varying branch sizes to stand and tree factors

Utilizing quantile regressions to predict vertical distribution of branch size in Larix olgensis Henry:Capturing the differentiated responses of varying branch sizes to stand and tree factors

Zheng Miao Fengri Li Xuehan Zhao Yumeng Jiang Lihu Dong

森林生态系统(英文版)2025,Vol.13Issue(3):454-471,18.
森林生态系统(英文版)2025,Vol.13Issue(3):454-471,18.DOI:10.1016/j.fecs.2025.100300

Utilizing quantile regressions to predict vertical distribution of branch size in Larix olgensis Henry:Capturing the differentiated responses of varying branch sizes to stand and tree factors

Utilizing quantile regressions to predict vertical distribution of branch size in Larix olgensis Henry:Capturing the differentiated responses of varying branch sizes to stand and tree factors

Zheng Miao 1Fengri Li 1Xuehan Zhao 2Yumeng Jiang 2Lihu Dong1

作者信息

  • 1. Department of Forest Management,School of Forestry,Northeast Forestry University,Harbin,150040,Heilongjiang,China||Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education,School of Forestry,Northeast Forestry University,Harbin,150040,Heilongjiang,China
  • 2. Department of Forest Management,School of Forestry,Northeast Forestry University,Harbin,150040,Heilongjiang,China
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摘要

关键词

Branch diameter/Branch length/Quantile regression/Crown structure/Wood quality

Key words

Branch diameter/Branch length/Quantile regression/Crown structure/Wood quality

引用本文复制引用

Zheng Miao,Fengri Li,Xuehan Zhao,Yumeng Jiang,Lihu Dong..Utilizing quantile regressions to predict vertical distribution of branch size in Larix olgensis Henry:Capturing the differentiated responses of varying branch sizes to stand and tree factors[J].森林生态系统(英文版),2025,13(3):454-471,18.

基金项目

This research was financially supported by the Young Scientists Fund of the National Key R&D Program of China(No.2022YFD2201800),the Youth Science Fund Program of National Natural Science Foundation of China(No.32301581),the Joint Funds for Regional Innovation and Development of the National Natural Science Foundation of China(No.U21A20244),the China Postdoctoral Science Foundation(No.2024M750383)and the Heilongjiang Touyan Innovation Team Program(Technology Development Team for High-Efficiency Silviculture of For-est Resources).We extend our heartfelt gratitude to the academic staff and both past and present graduate students of the Department of Forest Management at the School of Forestry,Northeast Forestry University,for their dedicated efforts in collecting field data. (No.2022YFD2201800)

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