Allometric equations for biomass and carbon pool estimation in short rotation Pinus radiata stands of the Western Cape, South Africa

IF 2.6 2区 农林科学 Q1 FORESTRY European Journal of Forest Research Pub Date : 2024-09-10 DOI:10.1007/s10342-024-01730-9
Louis Otto Pienaar, Rafael Calama, Jorge Olivar, Camilla Wellstein, Hans Pretzsch, Ben du Toit
{"title":"Allometric equations for biomass and carbon pool estimation in short rotation Pinus radiata stands of the Western Cape, South Africa","authors":"Louis Otto Pienaar, Rafael Calama, Jorge Olivar, Camilla Wellstein, Hans Pretzsch, Ben du Toit","doi":"10.1007/s10342-024-01730-9","DOIUrl":null,"url":null,"abstract":"<p>The quantification of tree growth and carbon storage over time is an important task for sustainable forest management and carbon sequestration projects. For the South African short-rotation <i>Pinus radiata</i> (D. Don) forests, this knowledge is lacking. We developed allometric equations and compared the estimated weights to previously published biomass studies and we used Dirichlet Regression (DR) modelling to ensure additivity of the component proportions. The biomass components and their contribution to carbon storage depend strongly on forest structure and mean tree size but also on-site conditions and tree architecture. Our first two hypotheses were that the (1) best model for stemwood (SW), bark and total mass will include the combined variable DBH<sup>2</sup>H and (2) that the DR will yield statistically similar estimates for all components when compared to the best models. Our third hypothesis was that allometric equations developed for sites with high resource availability (e.g. wet, fertile sites) will yield biased estimates when extrapolated to sites with lower levels of resource availability (drier and/or infertile sites). The results indicated that DBH<sup>2</sup>H was the best variable to describe SW, bark and total mass and the DR yield similar estimates for all component proportions when compared to the best models. There were strong similarities in the SW and total mass of independent test sites in comparison to the SW and total mass of this study but greater variability in the bark, needle and branch mass. This can be associated to site and seasonal differences as well as variability in tree architecture brought about by different silvicultural operations on individual sites. Previously developed equations by other authors for sites with high resource availability overpredicted the SW and total mass of the models developed in this study. Our set of additive component equations performed well even when applied to sites of similar productivity over a climate gradient. The presented new equations bridge the gap in knowledge where allometric equations for short rotation Radiata pine stands are lacking.</p>","PeriodicalId":11996,"journal":{"name":"European Journal of Forest Research","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Forest Research","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1007/s10342-024-01730-9","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

The quantification of tree growth and carbon storage over time is an important task for sustainable forest management and carbon sequestration projects. For the South African short-rotation Pinus radiata (D. Don) forests, this knowledge is lacking. We developed allometric equations and compared the estimated weights to previously published biomass studies and we used Dirichlet Regression (DR) modelling to ensure additivity of the component proportions. The biomass components and their contribution to carbon storage depend strongly on forest structure and mean tree size but also on-site conditions and tree architecture. Our first two hypotheses were that the (1) best model for stemwood (SW), bark and total mass will include the combined variable DBH2H and (2) that the DR will yield statistically similar estimates for all components when compared to the best models. Our third hypothesis was that allometric equations developed for sites with high resource availability (e.g. wet, fertile sites) will yield biased estimates when extrapolated to sites with lower levels of resource availability (drier and/or infertile sites). The results indicated that DBH2H was the best variable to describe SW, bark and total mass and the DR yield similar estimates for all component proportions when compared to the best models. There were strong similarities in the SW and total mass of independent test sites in comparison to the SW and total mass of this study but greater variability in the bark, needle and branch mass. This can be associated to site and seasonal differences as well as variability in tree architecture brought about by different silvicultural operations on individual sites. Previously developed equations by other authors for sites with high resource availability overpredicted the SW and total mass of the models developed in this study. Our set of additive component equations performed well even when applied to sites of similar productivity over a climate gradient. The presented new equations bridge the gap in knowledge where allometric equations for short rotation Radiata pine stands are lacking.

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
用于估算南非西开普省短轮伐期黑松林生物量和碳库的异速方程
对于可持续森林管理和碳封存项目而言,对树木生长和碳储存量进行量化是一项重要任务。对于南非的短轮伐 Pinus radiata (D. Don) 森林来说,这方面的知识还很缺乏。我们开发了异速方程,并将估算的权重与之前公布的生物量研究结果进行了比较,我们还使用了迪里希勒回归(DR)建模,以确保各组分比例的相加性。生物量成分及其对碳储存的贡献在很大程度上取决于森林结构和树木平均大小,同时也取决于现场条件和树木结构。我们的前两个假设是:(1) 干材(SW)、树皮和总质量的最佳模型将包括组合变量 DBH2H;(2) 与最佳模型相比,DR 将对所有成分产生统计上相似的估计值。我们的第三个假设是,为资源可用性高的地点(如潮湿、肥沃的地点)开发的异速方程在推断资源可用性较低的地点(较干燥和/或贫瘠的地点)时,会产生有偏差的估计值。结果表明,DBH2H 是描述 SW、树皮和总质量的最佳变量,与最佳模型相比,DR 对所有成分比例的估计值相似。与本研究的西南部和总质量相比,独立试验地点的西南部和总质量非常相似,但树皮、针叶和树枝质量的变异性更大。这可能与地点和季节差异以及个别地点不同造林作业造成的树木结构差异有关。其他作者以前针对资源可用性高的地点开发的方程对本研究中开发的模型的西南部和总质量预测过高。即使应用于气候梯度上生产力相似的地点,我们的这套加法成分方程也表现良好。所提出的新方程弥补了短轮伐雷达塔松异速生长方程缺乏的知识空白。
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
5.10
自引率
3.60%
发文量
77
审稿时长
6-16 weeks
期刊介绍: The European Journal of Forest Research focuses on publishing innovative results of empirical or model-oriented studies which contribute to the development of broad principles underlying forest ecosystems, their functions and services. Papers which exclusively report methods, models, techniques or case studies are beyond the scope of the journal, while papers on studies at the molecular or cellular level will be considered where they address the relevance of their results to the understanding of ecosystem structure and function. Papers relating to forest operations and forest engineering will be considered if they are tailored within a forest ecosystem context.
期刊最新文献
Allometric equations for biomass and carbon pool estimation in short rotation Pinus radiata stands of the Western Cape, South Africa Effect of bedrock, tree size and time on growth and climate sensitivity of Norway spruce in the High Tatras Pure and mixed Scots pine forests showed divergent responses to climate variation and increased intrinsic water use efficiency across a European-wide climate gradient Preliminary validation of automated production analysis of feller buncher operations: integration of onboard computer data with LiDAR inventory Variability in fine root decomposition after forest thinning: effects of harvest intensity and root size
×
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:481959085
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