[Construction of biomass models for understory shrubs and tree saplings in Fenglin County, Heilongjiang Province, China.]

Q3 Environmental Science
Ze-Lin Li, Wei-Wei Jia, Yang Zhao, Shan Jiang
{"title":"[Construction of biomass models for understory shrubs and tree saplings in Fenglin County, Heilongjiang Province, China.]","authors":"Ze-Lin Li, Wei-Wei Jia, Yang Zhao, Shan Jiang","doi":"10.13287/j.1001-9332.202504.004","DOIUrl":null,"url":null,"abstract":"<p><p>Shrubs and tree saplings are important components of understory in natural forests, possessing rich species diversity and broad ecological adaptability. They play a key role in soil moisture retention, water conservation, and wind and sand prevention. However, current research has mostly focused on the interactions between the tree layer and understory, with less attention on the growth dynamics, biomass renewal, and environmental adaptability of understory. Based on data of 18 shrub species and sapling of six tree species from the understory of Fenglin County in Heilongjiang Province, along with climate data from the sampling sites, we introduced two dummy variables, stand density and age class, to construct a biomass model for understory shrubs and tree saplings. The results showed that incorporating climate factors (mean annual temperature and mean annual precipitation) into the base model to construct a climate-sensitive biomass model significantly improved the model's fitting accuracy. The coefficient of determination (<i>R</i><sup>2</sup>) increased from 0.732 in the base model to 0.741, with an improvement of 6.8%. Based on the climate-sensitive biomass model, single dummy variables for age class and a dual dummy variable model combining stand density and age class were introduced. The dual dummy variable model showed the best fit, with an <i>R</i><sup>2</sup> of 0.840, being significantly higher than the single dummy variable model (<i>R</i><sup>2</sup>=0.787) and the climate-sensitive biomass model (<i>R</i><sup>2</sup>=0.741). The model constructed based on the climate-sensitive biomass model and incorporating dual dummy variables for stand density and age class, could effectively reflect the biomass variations of shrubs and tree saplings under different age classes and stand densities. It would provide a basis for forest ecological management and the scientific estimation of biomass, with significant practical value.</p>","PeriodicalId":35942,"journal":{"name":"应用生态学报","volume":"36 4","pages":"1053-1061"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"应用生态学报","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.13287/j.1001-9332.202504.004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Environmental Science","Score":null,"Total":0}
引用次数: 0

Abstract

Shrubs and tree saplings are important components of understory in natural forests, possessing rich species diversity and broad ecological adaptability. They play a key role in soil moisture retention, water conservation, and wind and sand prevention. However, current research has mostly focused on the interactions between the tree layer and understory, with less attention on the growth dynamics, biomass renewal, and environmental adaptability of understory. Based on data of 18 shrub species and sapling of six tree species from the understory of Fenglin County in Heilongjiang Province, along with climate data from the sampling sites, we introduced two dummy variables, stand density and age class, to construct a biomass model for understory shrubs and tree saplings. The results showed that incorporating climate factors (mean annual temperature and mean annual precipitation) into the base model to construct a climate-sensitive biomass model significantly improved the model's fitting accuracy. The coefficient of determination (R2) increased from 0.732 in the base model to 0.741, with an improvement of 6.8%. Based on the climate-sensitive biomass model, single dummy variables for age class and a dual dummy variable model combining stand density and age class were introduced. The dual dummy variable model showed the best fit, with an R2 of 0.840, being significantly higher than the single dummy variable model (R2=0.787) and the climate-sensitive biomass model (R2=0.741). The model constructed based on the climate-sensitive biomass model and incorporating dual dummy variables for stand density and age class, could effectively reflect the biomass variations of shrubs and tree saplings under different age classes and stand densities. It would provide a basis for forest ecological management and the scientific estimation of biomass, with significant practical value.

[黑龙江丰林县林下灌木和树苗生物量模型的构建]
灌木和树苗是天然林林下植被的重要组成部分,具有丰富的物种多样性和广泛的生态适应性。它们在土壤保墒、保水、防风防沙等方面发挥着关键作用。然而,目前的研究主要集中在林分层与林下植被的相互作用上,对林下植被的生长动态、生物量更新和环境适应性的研究较少。基于黑龙江省丰林县林下18种灌木和6种树苗的数据,结合采样点的气候数据,引入林分密度和林龄两个虚拟变量,构建了林下灌木和树苗的生物量模型。结果表明,将气候因子(年平均温度和年平均降水)纳入基础模型,构建气候敏感的生物量模型,显著提高了模型的拟合精度。决定系数(R2)由基础模型的0.732提高到0.741,提高了6.8%。在气候敏感生物量模型的基础上,引入了林分年龄的单虚拟变量和林分密度与林分年龄相结合的双虚拟变量模型。双虚拟变量模型拟合效果最佳,R2为0.840,显著高于单虚拟变量模型(R2=0.787)和气候敏感生物量模型(R2=0.741)。在气候敏感生物量模型的基础上,引入林分密度和林分等级双重虚拟变量,能有效反映不同林分等级和林分密度下灌木和乔木的生物量变化。为森林生态管理和生物量的科学估算提供依据,具有重要的实用价值。
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 求助全文
来源期刊
应用生态学报
应用生态学报 Environmental Science-Ecology
CiteScore
2.50
自引率
0.00%
发文量
11393
期刊介绍:
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信