Investigating the Self-Thinning Rule in Plantation Forests: Analyzing the Relationship Between the Basal Area and Height Growth in Southern China

IF 2.3 2区 生物学 Q2 ECOLOGY Ecology and Evolution Pub Date : 2025-03-06 DOI:10.1002/ece3.71034
Shisheng Long, Xuefeng He, Siqi Zeng, Huashun Xiao
{"title":"Investigating the Self-Thinning Rule in Plantation Forests: Analyzing the Relationship Between the Basal Area and Height Growth in Southern China","authors":"Shisheng Long,&nbsp;Xuefeng He,&nbsp;Siqi Zeng,&nbsp;Huashun Xiao","doi":"10.1002/ece3.71034","DOIUrl":null,"url":null,"abstract":"<p>The self-thinning rule in forest stands is fundamental to the development of density management strategies, as it determines the maximum stand density achievable for a given tree size. Accurate modeling of the maximum density line is crucial, but selecting representative data points for this purpose remains a challenge. Using 18 years of data from five <i>Cunninghamia lanceolata</i> plantations with varying initial planting densities, this study investigated whether relationships between mean tree basal area (<i>g</i>) and height (<i>H</i>) can reveal forest developmental stages and identify when stands begin self-thinning and reach maximum density. Our results showed a significant linear relationship (<i>p</i> &lt; 0.05) between <i>g</i> and <i>H</i> after self-thinning was established, supporting the presence of self-regulatory growth mechanisms. These findings enabled the development of a novel sample selection method for constructing more accurate maximum density line models, outperforming traditional methods that rely on arbitrary thresholds. Additionally, we derived formulas to describe total stand basal area (<i>G</i><sub>1.0</sub>) during different growth stages, revealing positive correlations with mean height during early growth and negative correlations with mean diameter during self-thinning. This research advances the understanding of self-thinning dynamics and provides practical tools for improving density management in plantation forestry.</p>","PeriodicalId":11467,"journal":{"name":"Ecology and Evolution","volume":"15 3","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ece3.71034","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecology and Evolution","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ece3.71034","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

The self-thinning rule in forest stands is fundamental to the development of density management strategies, as it determines the maximum stand density achievable for a given tree size. Accurate modeling of the maximum density line is crucial, but selecting representative data points for this purpose remains a challenge. Using 18 years of data from five Cunninghamia lanceolata plantations with varying initial planting densities, this study investigated whether relationships between mean tree basal area (g) and height (H) can reveal forest developmental stages and identify when stands begin self-thinning and reach maximum density. Our results showed a significant linear relationship (p < 0.05) between g and H after self-thinning was established, supporting the presence of self-regulatory growth mechanisms. These findings enabled the development of a novel sample selection method for constructing more accurate maximum density line models, outperforming traditional methods that rely on arbitrary thresholds. Additionally, we derived formulas to describe total stand basal area (G1.0) during different growth stages, revealing positive correlations with mean height during early growth and negative correlations with mean diameter during self-thinning. This research advances the understanding of self-thinning dynamics and provides practical tools for improving density management in plantation forestry.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人工林自疏规律的研究——南方人工林基材面积与高程的关系分析
林分的自疏规则是发展密度管理战略的基础,因为它决定了给定树木大小所能达到的最大林分密度。最大密度线的精确建模是至关重要的,但是为这个目的选择有代表性的数据点仍然是一个挑战。利用5个不同初始密度杉木人工林18年的数据,研究了平均树基面积(g)和树高(H)之间的关系是否能揭示森林发育阶段,并识别林分开始自疏和达到最大密度的时间。我们的研究结果显示,自疏化建立后g和H之间存在显著的线性关系(p < 0.05),支持存在自我调节生长机制。这些发现有助于开发一种新的样本选择方法,用于构建更精确的最大密度线模型,优于依赖任意阈值的传统方法。此外,我们还推导出不同生长阶段林分基面积(G1.0)与生长初期平均高度呈正相关,与自疏期平均直径负相关的计算公式。本研究促进了对人工林自疏动态的认识,为改善人工林密度管理提供了实用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
4.40
自引率
3.80%
发文量
1027
审稿时长
3-6 weeks
期刊介绍: Ecology and Evolution is the peer reviewed journal for rapid dissemination of research in all areas of ecology, evolution and conservation science. The journal gives priority to quality research reports, theoretical or empirical, that develop our understanding of organisms and their diversity, interactions between them, and the natural environment. Ecology and Evolution gives prompt and equal consideration to papers reporting theoretical, experimental, applied and descriptive work in terrestrial and aquatic environments. The journal will consider submissions across taxa in areas including but not limited to micro and macro ecological and evolutionary processes, characteristics of and interactions between individuals, populations, communities and the environment, physiological responses to environmental change, population genetics and phylogenetics, relatedness and kin selection, life histories, systematics and taxonomy, conservation genetics, extinction, speciation, adaption, behaviour, biodiversity, species abundance, macroecology, population and ecosystem dynamics, and conservation policy.
期刊最新文献
Application of Exon Primed Intron Crossing Markers to Cross-Amplify Oreochromis Species in Eastern Africa. Aleuritopteris hainanensis (Pteridaceae), a New Species From Hainan, China. Orangutan: An R Package for Analyzing and Visualizing Phenotypic Data in the Context of Species Descriptions and Population Comparisons. Correction to "A Barcoding-Based Scat-Analysis Assessment of Eurasian Otter Lutra lutra Diet on Kinmen Island". Correction to "Aseasonal Migration of a Northern Bottlenose Whale Provides Support for the Skin Molt Migration Hypothesis".
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1