文献类型：期刊文献

英文题名：Research on the Main Influencing Factors and Variation Patterns of Basal Area Increment (BAI) of Pinus massoniana

作者：Li, Zhuofan[1,2,3] Zhao, Cancong[4] Lu, Jun[5] Yao, Jianfeng[2,3,4] Li, Yanling[4] Zhou, Mengli[6] Ha, Denglong[7]

第一作者：Li, Zhuofan

通信作者：Yao, JF[1];Yao, JF[2];Yao, JF[3];Lu, J[4]

机构：[1]Xinyang Normal Univ, Coll Tourism, 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 Comp & Informat Technol, Xinyang 464000, Peoples R China;[5]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[6]Henan Agr Univ, Coll Forestry, Zhengzhou 450046, Peoples R China;[7]Henan Jigongshan Natl Nat Reserve, Affairs Ctr, Xinyang 464000, Peoples R China

年份：2025

卷号：17

期号：15

外文期刊名：SUSTAINABILITY

收录：;Scopus(收录号：2-s2.0-105013362182);WOS:【SSCI(收录号:WOS:001549685800001)，SCI-EXPANDED(收录号:WOS:001549685800001)】；

基金：This research was funded by the Natural Science Foundation of Henan Province (232300421167); Xinyang Academy of Ecological Research Open Foundation (2023XYQN04); Xinyang Academy of Ecological Research Open Foundation (2023XYZD02); and Postgraduate Education Reform and Quality Improvement Project of Henan Province (YJS2023SZ23).

语种：英文

外文关键词：Pinus massoniana; variable selection; machine learning; climate change

摘要：Understanding the environmental drivers of radial growth in the Pinus massoniana (lamb.) is essential for improving forest productivity and carbon sequestration in subtropical ecosystems. This study used the basal area increment (BAI) as an indicator of radial growth to investigate the main factors affecting the radial growth rate of P. massoniana and the changes in BAI with these factors. A total of 58 high quality tree ring series were analyzed. Six common methods were used to comprehensively analyze the importance of nine factor variables on the BAI, including tree age, competition index, average temperature, and so on. Generalized additive models (GAMs) were developed to explore the nonlinear relationships between each selected variable and the BAI. The results revealed the following: (1) Age and Competition Index was identified as the primary driving force; (2) BAI increased with Age when tree age was below 69 years; (3) from the overall trend, the BAI of P. massoniana decreased with the increase in the Competition Index. These findings provide a scientific basis for developing management plans for P. massoniana forests.