Forest and Grassland Resources Research >
Establishing individual tree DBH growth models for ten major tree species or groups in Jilin Province
Received date: 2025-07-10
Revised date: 2025-08-11
Online published: 2026-02-13
To meet the requirements of conducting a pilot study on surveying methods of ancient tree groups in Jilin Province,with the paired data of tree age and diameter at breast height (DBH) of 4,235 sample trees obtained from the 2nd National Census of Ancient and Notable Trees and the National Biomass Survey Surveying and Modeling Program,we developed DBH average growth models for individual trees of ten major tree species or groups (spruce,fir,Korean pine,larch,Mongolian oak,birch,elm,linden,aspen,and walnut) in Jilin Province by using the three common growth functions,involving Richards,Logistic and Gompertz,and the thresholds of DBH for identifying ancient trees of each tree pecie or group were determined.The results showed:1) Among the commonly used growth functions,the Richards function was found to be the most effective for fitting DBH growth models;2) The values of the coefficient of determination (R2) of the DBH growth models for the ten main tree species groups were all above 0.7,and the values of the total relative error(TRE) were within ±3%.The established models may be referred to determine the DBH thresholds of ancient trees and to estimate the age of ancient trees during the 3rd National Census of Ancient and Notable Trees in Jilin Province;and the modeling approach and the method for determining the DBH thresholds of ancient trees can be used as references for other provinces.
Xuexiang WEN , Xiangnan SUN , Weisheng ZENG . Establishing individual tree DBH growth models for ten major tree species or groups in Jilin Province[J]. Forest and Grassland Resources Research, 2025 , 0(4) : 122 -128 . DOI: 10.13466/j.cnki.lczyyj.2025.04.013
| [1] | 李光华. 古树名木鉴定分析[J]. 农业灾害研究, 2022(10):149-151. |
| [2] | 宋馥杉, 张齐兵. 古树名木树龄鉴定及其科研价值研究[J]. 国土绿化, 2018(10):50-51. |
| [3] | 徐万泰, 郭伟红. 古树名木及其后备资源树龄测定研究进展[J]. 农业科学, 2022(11):32-35. |
| [4] | 全国绿化委员会办公室. 关于开展第三次全国古树名木资源普查的通知[R/OL].(2025-07-03)[2025-08-10]. https://25520199.s21i.faiusr.com/61/ABUIABA9GAAgk9H2xAYolOTujwY.pdf. |
| [5] | 张妍. 古树树龄判别回归模型研究[D]. 长沙: 中南林业科技大学, 2019. |
| [6] | 胡云云. 长白山地区天然林林木年龄与胸径的变动关系[J]. 东北林业大学学报, 2009(11):38-42. |
| [7] | 张艳丽, 杨家军. 四川省广安市古树名木树龄估算及空间分布特征[J]. 浙江农林大学学报, 2020(5):841-848. |
| [8] | 袁寒嫣, 潘刚. 拉孜县藏川杨古树树龄与胸围回归模型研究[J]. 高原农业, 2022(4):317-323. |
| [9] | 李智华, 杨小林, 杨雯婧, 等. 巨柏胸径和树龄的关系研究[J]. 高原农业, 2023(3):273-277. |
| [10] | 丁海权, 曹磊, 王婷芳, 等. 扬州市古树名木树龄及形态特征相关关系研究[J]. 安徽农业科学, 2023(6):121-125. |
| [11] | 姜立春, 杜书立. 基于非线性混合模型的东北兴安落叶松树高和直径生长模拟[J]. 林业科学研究, 2012(1):11-16. |
| [12] | 何云松, 陈亚文, 林勇. 重庆市石宝镇马尾松单木生长模型研究[J]. 四川林业科技, 2013, 34(5):56-60. |
| [13] | 刘四海, 曾伟生. 马尾松宏观尺度的单木生长模型研究[J]. 林业资源管理, 2017(2):28-33. |
| [14] | 中华人民共和国国务院. 古树名木保护条例[M]. 北京: 中国法制出版社, 2025. |
| [15] | 曾伟生. 林业中互为自因变量模型拟合方法研究[J]. 林草资源研究, 2024(4):67-72. |
| [16] | 唐守正. 利用对偶回归和结构关系建立林分优势高和平均高模型[J]. 林业科学研究, 1991(增刊):57-62. |
/
| 〈 |
|
〉 |