详细信息
Impacts of climate and competition on the growth of Larix gmelinii in plantation: implications for forest management in temperate regions ( SCI-EXPANDED收录)
文献类型:期刊文献
英文题名:Impacts of climate and competition on the growth of Larix gmelinii in plantation: implications for forest management in temperate regions
作者:Zou, Kailun[1] Wang, Jiemin[2] Lei, Xiangdong[1] Zhang, Lei[2] Chen, Dongsheng[3] Yang, Lu[1] Liu, Xianzhao[1]
第一作者:Zou, Kailun
通信作者:Liu, XZ[1]
机构:[1]Chinese Acad Forestry, Inst Forest Resource Informat Tech, State Key Lab Efficient Prod Forest Resources, Key Lab Forest Management & Growth Modelling,Natl, Beijing 100091, Peoples R China;[2]Guancen Mt Natl Forest Management Bur, Yangjuangou Forest Farm, Xinzhou 036200, Shanxi, Peoples R China;[3]Chinese Acad Forestry, State Key Lab Tree Genet & Breeding, Key Lab Tree Breeding & Cultivat, Res Inst Forestry,State Forestry & Grassland Adm, Beijing 100091, Peoples R China
年份:2026
卷号:145
期号:2
外文期刊名:EUROPEAN JOURNAL OF FOREST RESEARCH
收录:;Scopus(收录号:2-s2.0-105028132858);WOS:【SCI-EXPANDED(收录号:WOS:001666709900004)】;
基金:National Key Research and Development Program of China, 2023YFD220080302, National Natural Science Foundation of China, 32271878.
语种:英文
外文关键词:Basal area increment; Individual tree growth; Competition effect; Climatic and biological interactions; Deep learning model; Selective cutting management
摘要:This study investigates the effects of competition, climate factors, and their interactions on the growth of individual trees in Larix gmelinii plantations, as well as their implications for selective cutting forest management. Using data from the National Forest Resource Continuous Inventory, this study systematically analyzed the effects of climatic, stand, and individual tree-level characteristics on larch growth by applying multiple linear regression, linear mixed-effects models, and deep learning models. The study revealed the complex interactions between climatic and biotic factors, providing a scientific basis and technical support for the development of management strategies aimed at enhancing the growth of large-diameter larch. The results indicated that the annual basal area increment (BAI) was a more accurate indicator of individual tree growth dynamics than the diameter mean annual increment (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${D}_{MAI}$$\end{document}). Climate factors influenced tree growth in a nonlinear manner, exhibiting a threshold effect: generally, the mean coldest month temperature (MCMT) and mean annual precipitation (MAP) were positively correlated with tree growth, whereas the summer mean maximum temperature (SMMT) was negatively correlated. The influence of competition factors outweighed that of climate factors, with low-density stands, trees with larger DBH within plots, and large-diameter trees showing higher growth rates. The study further revealed significant differences in the responses of tree growth to climate factors, depending on stand and tree characteristics. Specifically: (1) Tree growth showed asymmetry in competition-pressure and tree size, with dominant trees exhibiting a marked growth advantage; (2) The resistance of large-diameter trees to climate stress and their response to favorable growing conditions was significantly stronger than those of medium- and small-diameter trees; (3) Higher MCMT promoted tree growth in low- to medium-density stands, but in high-density stands, warming-induced drought stress weakened this positive effect; (4) Trees in low-density stands exhibited better resistance to high temperatures compared to those in high-density stands; (5) The availability of water resources significantly altered competition dynamics, with growth rates in high-density stands exceeding those in medium-density stands when water was abundant. This research provides theoretical support for selective cutting forest management and offers valuable guidance for addressing climate change and optimizing forest management strategies.
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