Species-specific and generalized allometric biomass models for eight Fagaceae species in the understory of evergreen broadleaved forests in subtropical China
{"title":"Species-specific and generalized allometric biomass models for eight Fagaceae species in the understory of evergreen broadleaved forests in subtropical China","authors":"Shengwang Meng","doi":"10.1007/s11676-024-01718-6","DOIUrl":null,"url":null,"abstract":"<p>Quantifying the biomass of saplings in the regeneration component is critical for understanding biogeochemical processes of forest ecosystems. However, accurate allometric equations have yet to be developed in sufficient detail. To develop species-specific and generalized allometric equations, 154 saplings of eight <i>Fagaceae</i> tree species in subtropical China’s evergreen broadleaved forests were collected. Three dendrometric variables, root collar diameter (<i>d</i>), height (<i>h</i>), and crown area (<i>ca</i>) were applied in the model by the weighted nonlinear seemingly unrelated regression method. Using only <i>d</i> as an input variable, the species-specific and generalized allometric equations estimated the aboveground biomass reasonably, with <span>\\({R}_{adj}^{2}\\)</span> values generally > 0.85. Adding <i>h</i> and/or <i>ca</i> improved the fitting of some biomass components to a certain extent. Generalized equations showed a relatively large coefficient of variation but comparable bias to species-specific equations. Only in the absence of species-specific equations at a given location are generalized equations for mixed species recommended. The developed regression equations can be used to accurately calculate the aboveground biomass of understory <i>Fagaceae</i> regeneration trees in China’s subtropical evergreen broadleaved forests.</p>","PeriodicalId":15830,"journal":{"name":"Journal of Forestry Research","volume":"47 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Forestry Research","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1007/s11676-024-01718-6","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0
Abstract
Quantifying the biomass of saplings in the regeneration component is critical for understanding biogeochemical processes of forest ecosystems. However, accurate allometric equations have yet to be developed in sufficient detail. To develop species-specific and generalized allometric equations, 154 saplings of eight Fagaceae tree species in subtropical China’s evergreen broadleaved forests were collected. Three dendrometric variables, root collar diameter (d), height (h), and crown area (ca) were applied in the model by the weighted nonlinear seemingly unrelated regression method. Using only d as an input variable, the species-specific and generalized allometric equations estimated the aboveground biomass reasonably, with \({R}_{adj}^{2}\) values generally > 0.85. Adding h and/or ca improved the fitting of some biomass components to a certain extent. Generalized equations showed a relatively large coefficient of variation but comparable bias to species-specific equations. Only in the absence of species-specific equations at a given location are generalized equations for mixed species recommended. The developed regression equations can be used to accurately calculate the aboveground biomass of understory Fagaceae regeneration trees in China’s subtropical evergreen broadleaved forests.
量化再生部分的树苗生物量对于了解森林生态系统的生物地球化学过程至关重要。然而,精确的异速生长方程尚未得到足够详细的研究。为了建立物种特异性和通用的异速方程,研究人员在中国亚热带常绿阔叶林中采集了 8 个椑科树种的 154 株树苗。通过加权非线性似非相关回归法,将根领直径(d)、高度(h)和树冠面积(ca)这三个树形变量应用于模型中。仅使用 d 作为输入变量,物种特异性和广义异速方程对地上生物量的估计比较合理,\({R}_{adj}^{2}\) 值一般为 0.85。添加 h 和/或 ca 在一定程度上改善了某些生物量成分的拟合。广义方程的变异系数相对较大,但偏差与物种特异性方程相当。只有在特定地点没有物种特异性方程的情况下,才建议使用混合物种的广义方程。所建立的回归方程可用于准确计算中国亚热带常绿阔叶林下层法桐再生树的地上生物量。
期刊介绍:
The Journal of Forestry Research (JFR), founded in 1990, is a peer-reviewed quarterly journal in English. JFR has rapidly emerged as an international journal published by Northeast Forestry University and Ecological Society of China in collaboration with Springer Verlag. The journal publishes scientific articles related to forestry for a broad range of international scientists, forest managers and practitioners.The scope of the journal covers the following five thematic categories and 20 subjects:
Basic Science of Forestry,
Forest biometrics,
Forest soils,
Forest hydrology,
Tree physiology,
Forest biomass, carbon, and bioenergy,
Forest biotechnology and molecular biology,
Forest Ecology,
Forest ecology,
Forest ecological services,
Restoration ecology,
Forest adaptation to climate change,
Wildlife ecology and management,
Silviculture and Forest Management,
Forest genetics and tree breeding,
Silviculture,
Forest RS, GIS, and modeling,
Forest management,
Forest Protection,
Forest entomology and pathology,
Forest fire,
Forest resources conservation,
Forest health monitoring and assessment,
Wood Science and Technology,
Wood Science and Technology.