Comparison and analysis of self-thinning models based on diameter-based maximum size-density relationships

IF 3.7 2区 农林科学 Q1 FORESTRY Forest Ecology and Management Pub Date : 2024-11-20 DOI:10.1016/j.foreco.2024.122374
Daesung Lee , Jouni Siipilehto , Jari Hynynen
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Abstract

Identifying self-thinning phase is one of the key issues to deal with stand density management and simulate the growth and yield in a forest stand. This study was conducted to figure out the carrying capacity of silver birch plantations and provide the self-thinning zone for practicability. The analyzed data were the stand-wise observations from the experimental plots of silver birch plantations in southern and central Finland, which were established and measured between 1977 and 2020. Models for the diameter-based maximum size-density relationship (MSDR) were fitted only to the censored data after classifying the stand observations undergoing self-thinning phase. The applied diameter-based MSDR in this study were Reineke’s self-thinning rule (STR), competition-density (C-D) rule, and Nilson’s stand sparsity index (SSI). Model fitting was executed using linear quantile mixed-effect model for Reineke’s STR and Nilson’s SSI and nonlinear mixed-effect model for the C-D rule. For practical purpose, a lower boundary of the self-thinning zone based on the developed MSDR was analyzed using the concept of relative density (RD) according to the ratio of stem number (N) to maximum stem number (Nmax) at quadratic mean diameter (DQ). Linear quantile mixed models were fitted well with the 0.99 level for Reineke’s STR and with the 0.01 level for Nilson’s SSI to find the MSDR between DQ and N. Among the fitting methods for the C-D rule, the three-parameter method performed better than the four-parameter method or the method with Reineke’s slope of −1.605. The fitted slope of Reineke’s STR in this study was −1.5848, which was close to the original slope from Reineke’s. Our results from the developed models and the observations undergoing self-thinning phase implied that the slope of MSDR is not always invariant. Moreover, a different slope for MSDR was suggested by initial planting density and the stand development stage; a self-thinning phase occurred earlier with lower initial planting density, which meant a steeper slope. When the lower boundary of the self-thinning zone was analyzed applying RD to the MSDR models, the results suggested that RD 0.7 for Reineke’s STR at DQ ≤ 18.65 cm and RD 0.8 for Nilson’s SSI at DQ ≥ 18.65 cm provided adequate level for self-thinning phase. It is considered in this study that the diameter-based MSDR measures were analyzed and examined adequately, and the practical self-thinning zone was provided using RD for silver birch plantations.
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基于直径最大尺寸密度关系的自稀化模型比较与分析
确定自伐阶段是处理林分密度管理以及模拟林分生长和产量的关键问题之一。本研究旨在找出银桦树林的承载能力,并提供切实可行的自稀疏区。分析数据来自芬兰南部和中部银桦树种植实验地块的林分观测数据,这些数据是在 1977 年至 2020 年期间建立和测量的。在对处于自稀疏阶段的林分观测数据进行分类后,基于直径的最大尺寸-密度关系(MSDR)模型仅适用于删减数据。本研究采用的基于直径的最大尺寸-密度关系模型包括莱内克的自稀疏规则(STR)、竞争-密度规则(C-D)和尼尔森的林分稀疏指数(SSI)。对 Reineke 的 STR 和 Nilson 的 SSI 采用线性量子混合效应模型进行模型拟合,对 C-D 规则采用非线性混合效应模型进行模型拟合。为实用起见,使用相对密度(RD)的概念,根据二次平均直径(DQ)下的茎数(N)与最大茎数(Nmax)之比,分析了基于所开发的 MSDR 的自稀疏区下限。在C-D规则的拟合方法中,三参数法比四参数法或Reineke斜率为-1.605的方法表现更好。本研究中 Reineke's STR 的拟合斜率为-1.5848,接近 Reineke's 的原始斜率。我们从所建立的模型和自稀化阶段的观测结果中得出的结论表明,MSDR 的斜率并不总是不变的。此外,初始种植密度和林分发展阶段也会导致 MSDR 的斜率不同;初始种植密度越低,自稀疏阶段发生得越早,这意味着斜率越大。将 RD 应用于 MSDR 模型对自稀疏区的下边界进行分析,结果表明,DQ ≤ 18.65 cm 时 Reineke's STR 的 RD 为 0.7,DQ ≥ 18.65 cm 时 Nilson's SSI 的 RD 为 0.8,为自稀疏阶段提供了足够的水平。本研究认为,对基于直径的 MSDR 测量进行了充分的分析和研究,并使用 RD 为银桦种植提供了实用的自稀疏区。
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来源期刊
Forest Ecology and Management
Forest Ecology and Management 农林科学-林学
CiteScore
7.50
自引率
10.80%
发文量
665
审稿时长
39 days
期刊介绍: Forest Ecology and Management publishes scientific articles linking forest ecology with forest management, focusing on the application of biological, ecological and social knowledge to the management and conservation of plantations and natural forests. The scope of the journal includes all forest ecosystems of the world. A peer-review process ensures the quality and international interest of the manuscripts accepted for publication. The journal encourages communication between scientists in disparate fields who share a common interest in ecology and forest management, bridging the gap between research workers and forest managers. We encourage submission of papers that will have the strongest interest and value to the Journal''s international readership. Some key features of papers with strong interest include: 1. Clear connections between the ecology and management of forests; 2. Novel ideas or approaches to important challenges in forest ecology and management; 3. Studies that address a population of interest beyond the scale of single research sites, Three key points in the design of forest experiments, Forest Ecology and Management 255 (2008) 2022-2023); 4. Review Articles on timely, important topics. Authors are welcome to contact one of the editors to discuss the suitability of a potential review manuscript. The Journal encourages proposals for special issues examining important areas of forest ecology and management. Potential guest editors should contact any of the Editors to begin discussions about topics, potential papers, and other details.
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