文献类型：期刊文献

英文题名：A Method for Estimating Tree Age Based on the Tree Trunk Diameter and the Average Radial Growth Rate in Recent Years

作者：Yao, Jianfeng[1,2,3] Yang, Mengmeng[1] Li, Zhuofan[2,3,4] Ha, Denglong[5] Gao, Wenqiang[6] He, Xiao[6] Hu, Xuefan[7] Song, Xinyu[2,3,8]

第一作者：Yao, Jianfeng

通信作者：Song, XY[1];Song, XY[2];Song, XY[3]

机构：[1]Xinyang Normal Univ, Coll Comp & Informat Technol, Xinyang 464000, Peoples R China;[2]Henan Dabieshan Natl Field Observat & Res Stn Fore, Zhengzhou 450046, Peoples R China;[3]Xinyang Acad Ecol Res, Xinyang 464000, Peoples R China;[4]Xinyang Normal Univ, Coll Tourism, Xinyang 464000, Peoples R China;[5]Henan Jigongshan Natl Nat Reserve, Affairs Ctr, Xinyang 464000, Peoples R China;[6]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[7]Beijing Acad Forestry & Landscape Architecture, Beijing Key Lab Greening Plants Breeding, Beijing 100102, Peoples R China;[8]Xinyang Normal Univ, Coll Math & Stat, Xinyang 464000, Peoples R China

年份：2025

卷号：16

期号：11

外文期刊名：FORESTS

收录：;EI(收录号：20254819610097);Scopus(收录号：2-s2.0-105023109350);WOS:【SCI-EXPANDED(收录号:WOS:001624450900001)】；

基金：This research was funded by the Natural Science Foundation of Henan Province (252300423088); the Xinyang Academy of Ecological Research Open Foundation (2023XYQN04); National Key Research and Development Program Project (2022YFD2200501); Research on the multifunctionality and driving factors of oak forest ecosystems in Beijing (YZQN202405); Research on Key Techniques for Quercus Planting (YZZD202407); Postgraduate Education Reform and Quality Improvement Project of Henan Province (YJS2023SZ23).

语种：英文

外文关键词：tree age; radial growth rate; logarithmic model; exponential model; non-destructive

摘要：To improve the accuracy of tree age estimation by accounting for variations in radial growth, this study developed a diameter/age model that incorporates the radial growth rate for seven typical tree species across subtropical to cold temperate regions. For each tree species, six trees-representing dominant, intermediate, and suppressed trees-were selected. A total of 646 disks were collected at 1 m intervals along the stems, starting at 0.3 m height. Disk diameters and tree rings were measured, and the radial growth rate of each disk over the past two years was calculated. For each tree species, two-thirds of the data were randomly selected as the modeling dataset, while the remaining one-third served as the testing dataset. Based on scatter plots, we selected linear models, logarithmic models, and exponential models as candidate models. A logarithmic function best described the diameter/age relationship, while an exponential model best fit the radial growth rate/age relationship. A dual-factor nonlinear model combining both variables achieved the highest estimation accuracy (80.29%), significantly outperforming single-factor models based solely on diameter (50.76%) or growth rate (73.01%). These results demonstrate that integrating radial growth rate substantially enhances the precision of tree age estimation.