基于地面激光扫描的超多样性次生林材积估算方法

IF 0.6 4区 农林科学 Q4 FORESTRY
Aguida Beatriz Travaglia Viana, C. M. M. E. Torres, Cibele Humel do Amaral, E. I. Fernandes Filho, C. P. B. Soares, F. C. Santana, L. B. Timo, S. J. S. S. D. Rocha
{"title":"基于地面激光扫描的超多样性次生林材积估算方法","authors":"Aguida Beatriz Travaglia Viana, C. M. M. E. Torres, Cibele Humel do Amaral, E. I. Fernandes Filho, C. P. B. Soares, F. C. Santana, L. B. Timo, S. J. S. S. D. Rocha","doi":"10.1590/1806-908820220000021","DOIUrl":null,"url":null,"abstract":"ABSTRACT High accuracy in timber volume estimation in tropical forests is required to support sustainable management. Terrestrial laser scanners (TLS) can provide high-quality estimates from tree structural variables. We compared stem variable estimations obtained by TLS and traditional methods at tree level and adjusted volume equations using data of a secondary seasonal semideciduous forest (Atlantic Forest). We also discuss the feasibility of TLS in hyperdiverse and secondary forest fragments. Traditional measurements (Method I) and TLS-based measurements (Method II) were performed on 29 trees belonging to 10 species. Volume equations based on the Schumacher and Hall (SH) and Spurr models were generated. DBH (diameter at breast height) was equal for both methods. Total height (TH) was overestimated by Method II, and commercial height (CH) showed a low correlation between the two methods. The adjusted volumetric equations were different for both methods, and those based on the SH volume model showed the best fit. Our results lead us to infer that in hyperdiverse secondary forests, tree structural variables should be obtained via TLS. However, attention should be given to the occlusion of target trees by the regenerating understory and to height estimates, which can be biased by the crown characteristics of the dominant species.","PeriodicalId":21214,"journal":{"name":"Revista Arvore","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"TIMBER VOLUME ESTIMATION BY USING TERRESTRIAL LASER SCANNING: METHOD IN HYPERDIVERSE SECONDARY FORESTS\",\"authors\":\"Aguida Beatriz Travaglia Viana, C. M. M. E. Torres, Cibele Humel do Amaral, E. I. Fernandes Filho, C. P. B. Soares, F. C. Santana, L. B. Timo, S. J. S. S. D. Rocha\",\"doi\":\"10.1590/1806-908820220000021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT High accuracy in timber volume estimation in tropical forests is required to support sustainable management. Terrestrial laser scanners (TLS) can provide high-quality estimates from tree structural variables. We compared stem variable estimations obtained by TLS and traditional methods at tree level and adjusted volume equations using data of a secondary seasonal semideciduous forest (Atlantic Forest). We also discuss the feasibility of TLS in hyperdiverse and secondary forest fragments. Traditional measurements (Method I) and TLS-based measurements (Method II) were performed on 29 trees belonging to 10 species. Volume equations based on the Schumacher and Hall (SH) and Spurr models were generated. DBH (diameter at breast height) was equal for both methods. Total height (TH) was overestimated by Method II, and commercial height (CH) showed a low correlation between the two methods. The adjusted volumetric equations were different for both methods, and those based on the SH volume model showed the best fit. Our results lead us to infer that in hyperdiverse secondary forests, tree structural variables should be obtained via TLS. However, attention should be given to the occlusion of target trees by the regenerating understory and to height estimates, which can be biased by the crown characteristics of the dominant species.\",\"PeriodicalId\":21214,\"journal\":{\"name\":\"Revista Arvore\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista Arvore\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1590/1806-908820220000021\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Arvore","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1590/1806-908820220000021","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0

摘要

热带森林的木材体积估算需要高精度,以支持可持续管理。地面激光扫描仪(TLS)可以从树结构变量中提供高质量的估计。利用大西洋森林次生季节性半落叶林的数据,比较了基于TLS和传统方法在树水平上的茎变量估计,并对调整后的体积方程进行了比较。我们还讨论了TLS在高多样性和次生林破碎片中的可行性。采用传统测量方法(方法一)和基于tls的测量方法(方法二)对10种29棵乔木进行了测量。建立了基于舒马赫和霍尔(SH)模型和Spurr模型的体积方程。两种方法的胸径相同。总高度(TH)被方法II高估,商业高度(CH)两种方法之间的相关性较低。两种方法调整后的体积方程不同,基于SH体积模型的体积方程拟合效果最好。我们的结果表明,在高多样性次生林中,树木结构变量应该通过TLS获得。然而,应注意更新的林下植被对目标树的遮挡和高度估计,这可能受到优势种树冠特征的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TIMBER VOLUME ESTIMATION BY USING TERRESTRIAL LASER SCANNING: METHOD IN HYPERDIVERSE SECONDARY FORESTS
ABSTRACT High accuracy in timber volume estimation in tropical forests is required to support sustainable management. Terrestrial laser scanners (TLS) can provide high-quality estimates from tree structural variables. We compared stem variable estimations obtained by TLS and traditional methods at tree level and adjusted volume equations using data of a secondary seasonal semideciduous forest (Atlantic Forest). We also discuss the feasibility of TLS in hyperdiverse and secondary forest fragments. Traditional measurements (Method I) and TLS-based measurements (Method II) were performed on 29 trees belonging to 10 species. Volume equations based on the Schumacher and Hall (SH) and Spurr models were generated. DBH (diameter at breast height) was equal for both methods. Total height (TH) was overestimated by Method II, and commercial height (CH) showed a low correlation between the two methods. The adjusted volumetric equations were different for both methods, and those based on the SH volume model showed the best fit. Our results lead us to infer that in hyperdiverse secondary forests, tree structural variables should be obtained via TLS. However, attention should be given to the occlusion of target trees by the regenerating understory and to height estimates, which can be biased by the crown characteristics of the dominant species.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Revista Arvore
Revista Arvore FORESTRY-
CiteScore
1.00
自引率
0.00%
发文量
32
审稿时长
4-8 weeks
期刊介绍: A Revista Árvore é um veículo de comunicação científica da Sociedade de Investigações Florestais – SIF. O jornal é de acesso gratuito, revisado por pares, que publica bimestralmente trabalhos científicos originais no campo da Ciência Florestal. As áreas temáticas para publicação são: Ambiência e Conservação da Natureza, Manejo Florestal, Silvicultura e Tecnologia da Madeira e Utilização de Produtos Florestais. A política editorial visa manter alta conduta ética em relação à publicação e aos seus funcionários, rigor na qualidade dos artigos científicos, seleção de revisores qualificados, respeito profissional aos autores e processo de tomada de decisão imparcial. A Revista Árvore publica artigos apenas em inglês. Artigos de revisão podem ser publicados se houver uma discussão relevante resumindo o estado da arte sobre o assunto. A revisão estrita da literatura não é aceita.
×
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