Use of destructive and non-destructive methodologies to estimate stem biomass accumulation and carbon stock in an eucalyptus forest
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/55271 |
Resumo: | Predicting wood biomass and carbon stock contents in planted forests can vary due to limitations associated with the measurement of parameters. Therefore, reducing possible errors generated over biomass and carbon stock quantification is an important step in obtaining reliable data. The study aimed to compare the use of destructive and non-destructive methodologies for predicting biomass and carbon stock in a planted Eucalyptus forest. Scaling was performed on 21 trees and 3 methodologies for carbon stock estimation were compared. For methodology 1, a control sample was harvested, sectioned, weighted in the field, and the carbon stock calculated based on these data. Methodology 2 was also destructive, as trees were harvested, scaled and the carbon stock predicted based on these data. Methodology 3 was non-destructive, as trees were scaled upright with the aid of equipment and the predicted carbon stock was based on these data. Biomass and carbon stock were compared by Test F and no statistical difference was observed. The data were separated according to diametric classes and compared by the Kolmogorov-Smirnov test, and again no significant difference was observed. Furthermore, three equations were generated based on the Schumacher & Hall model and compared by the identity test model and no differences between the methodologies were observed. Thus, both nondestructive and destructive methodologies herein evaluated were effective and showed equal results to the control sample. Moreover, the use of the non-destructive methodology reduces time and cost destined to predicting biomass and carbon stock. |
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Use of destructive and non-destructive methodologies to estimate stem biomass accumulation and carbon stock in an eucalyptus forestUso de metodologias destrutivas e não destrutiva para estimar acúmulo de biomassa no tronco e estoque de carbono em uma floresta de eucaliptoBasic wood densityForest plantationStem volumeDensidade básica da madeiraFlorestas plantadasVolume do troncoPredicting wood biomass and carbon stock contents in planted forests can vary due to limitations associated with the measurement of parameters. Therefore, reducing possible errors generated over biomass and carbon stock quantification is an important step in obtaining reliable data. The study aimed to compare the use of destructive and non-destructive methodologies for predicting biomass and carbon stock in a planted Eucalyptus forest. Scaling was performed on 21 trees and 3 methodologies for carbon stock estimation were compared. For methodology 1, a control sample was harvested, sectioned, weighted in the field, and the carbon stock calculated based on these data. Methodology 2 was also destructive, as trees were harvested, scaled and the carbon stock predicted based on these data. Methodology 3 was non-destructive, as trees were scaled upright with the aid of equipment and the predicted carbon stock was based on these data. Biomass and carbon stock were compared by Test F and no statistical difference was observed. The data were separated according to diametric classes and compared by the Kolmogorov-Smirnov test, and again no significant difference was observed. Furthermore, three equations were generated based on the Schumacher & Hall model and compared by the identity test model and no differences between the methodologies were observed. Thus, both nondestructive and destructive methodologies herein evaluated were effective and showed equal results to the control sample. Moreover, the use of the non-destructive methodology reduces time and cost destined to predicting biomass and carbon stock.A previsão de biomassa de madeira e estoque de carbono em florestas plantadas pode variar devido a limitações associadas à medição de parâmetros. Portanto, reduzir possíveis erros gerados na quantificação de biomassa e estoque de carbono é um passo importante na obtenção de dados confiáveis. O objetivo do estudo foi comparar o uso de metodologias destrutivas e não destrutivas para a previsão de biomassa e estoque de carbono em uma floresta plantada de eucalipto. As análises foram realizadas em 21 árvores e 3 metodologias para estimativa de estoque de carbono foram comparadas. Para a metodologia 1, uma amostra controle foi colhida, seccionada, pesada em campo e o estoque de carbono calculado com base nesses dados. A metodologia 2 também foi destrutiva, pois as árvores foram cortadas, cubadas e o estoque de carbono previsto com base nesses dados. A metodologia 3 foi não destrutiva, pois as árvores foram cubadas com auxílio de um equipamento e o estoque de carbono estimado foi baseado nesses dados. A biomassa e o estoque de carbono foram comparados pelo Teste F e nenhuma diferença estatística foi observada. Os dados foram separados de acordo com as classes diamétricas e comparados pelo teste de Kolmogorov-Smirnov, e novamente não foi observada diferença significativa. Além disso, três equações foram geradas com base no modelo de Schumacher & Hall e comparadas pelo modelo de teste de identidade e não foram observadas diferenças entre as metodologias. Assim, tanto as metodologias não destrutivas quanto as destrutivas aqui avaliadas foram eficazes e apresentaram resultados iguais à amostra controle. Além disso, o uso da metodologia não destrutiva reduz o tempo e o custo destinados à previsão de biomassa e estoque de carbono.Sociedade de Investigações Florestais (SIF)2022-10-06T16:50:08Z2022-10-06T16:50:08Z2022-03-16info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSCHETTINI, B. L. S. et al. Use of destructive and non-destructive methodologies to estimate stem biomass accumulation and carbon stock in an eucalyptus forest. Revista Árvore, Viçosa, MG, v. 46, p. 1-9, 2022. DOI: 10.1590/1806-908820220000011.http://repositorio.ufla.br/jspui/handle/1/55271Revista Árvorereponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessSchettini, Bruno Leão SaidJacovine, Laércio Antônio GonçalvesTorres, Carlos Moreira Miquelino EletoCarneiro, Angélica de Cássia OliveiraCastro, Renato Vinícius OliveiraVillanova, Paulo HenriqueRocha, Samuel José Silva Soares daRufino, Maria Paula Miranda XavierOliveira Neto, Silvio Nolasco deMorais Júnior, Vicente Toledo Machado deeng2022-10-06T16:50:08Zoai:localhost:1/55271Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2022-10-06T16:50:08Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Use of destructive and non-destructive methodologies to estimate stem biomass accumulation and carbon stock in an eucalyptus forest Uso de metodologias destrutivas e não destrutiva para estimar acúmulo de biomassa no tronco e estoque de carbono em uma floresta de eucalipto |
title |
Use of destructive and non-destructive methodologies to estimate stem biomass accumulation and carbon stock in an eucalyptus forest |
spellingShingle |
Use of destructive and non-destructive methodologies to estimate stem biomass accumulation and carbon stock in an eucalyptus forest Schettini, Bruno Leão Said Basic wood density Forest plantation Stem volume Densidade básica da madeira Florestas plantadas Volume do tronco |
title_short |
Use of destructive and non-destructive methodologies to estimate stem biomass accumulation and carbon stock in an eucalyptus forest |
title_full |
Use of destructive and non-destructive methodologies to estimate stem biomass accumulation and carbon stock in an eucalyptus forest |
title_fullStr |
Use of destructive and non-destructive methodologies to estimate stem biomass accumulation and carbon stock in an eucalyptus forest |
title_full_unstemmed |
Use of destructive and non-destructive methodologies to estimate stem biomass accumulation and carbon stock in an eucalyptus forest |
title_sort |
Use of destructive and non-destructive methodologies to estimate stem biomass accumulation and carbon stock in an eucalyptus forest |
author |
Schettini, Bruno Leão Said |
author_facet |
Schettini, Bruno Leão Said Jacovine, Laércio Antônio Gonçalves Torres, Carlos Moreira Miquelino Eleto Carneiro, Angélica de Cássia Oliveira Castro, Renato Vinícius Oliveira Villanova, Paulo Henrique Rocha, Samuel José Silva Soares da Rufino, Maria Paula Miranda Xavier Oliveira Neto, Silvio Nolasco de Morais Júnior, Vicente Toledo Machado de |
author_role |
author |
author2 |
Jacovine, Laércio Antônio Gonçalves Torres, Carlos Moreira Miquelino Eleto Carneiro, Angélica de Cássia Oliveira Castro, Renato Vinícius Oliveira Villanova, Paulo Henrique Rocha, Samuel José Silva Soares da Rufino, Maria Paula Miranda Xavier Oliveira Neto, Silvio Nolasco de Morais Júnior, Vicente Toledo Machado de |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Schettini, Bruno Leão Said Jacovine, Laércio Antônio Gonçalves Torres, Carlos Moreira Miquelino Eleto Carneiro, Angélica de Cássia Oliveira Castro, Renato Vinícius Oliveira Villanova, Paulo Henrique Rocha, Samuel José Silva Soares da Rufino, Maria Paula Miranda Xavier Oliveira Neto, Silvio Nolasco de Morais Júnior, Vicente Toledo Machado de |
dc.subject.por.fl_str_mv |
Basic wood density Forest plantation Stem volume Densidade básica da madeira Florestas plantadas Volume do tronco |
topic |
Basic wood density Forest plantation Stem volume Densidade básica da madeira Florestas plantadas Volume do tronco |
description |
Predicting wood biomass and carbon stock contents in planted forests can vary due to limitations associated with the measurement of parameters. Therefore, reducing possible errors generated over biomass and carbon stock quantification is an important step in obtaining reliable data. The study aimed to compare the use of destructive and non-destructive methodologies for predicting biomass and carbon stock in a planted Eucalyptus forest. Scaling was performed on 21 trees and 3 methodologies for carbon stock estimation were compared. For methodology 1, a control sample was harvested, sectioned, weighted in the field, and the carbon stock calculated based on these data. Methodology 2 was also destructive, as trees were harvested, scaled and the carbon stock predicted based on these data. Methodology 3 was non-destructive, as trees were scaled upright with the aid of equipment and the predicted carbon stock was based on these data. Biomass and carbon stock were compared by Test F and no statistical difference was observed. The data were separated according to diametric classes and compared by the Kolmogorov-Smirnov test, and again no significant difference was observed. Furthermore, three equations were generated based on the Schumacher & Hall model and compared by the identity test model and no differences between the methodologies were observed. Thus, both nondestructive and destructive methodologies herein evaluated were effective and showed equal results to the control sample. Moreover, the use of the non-destructive methodology reduces time and cost destined to predicting biomass and carbon stock. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-10-06T16:50:08Z 2022-10-06T16:50:08Z 2022-03-16 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
SCHETTINI, B. L. S. et al. Use of destructive and non-destructive methodologies to estimate stem biomass accumulation and carbon stock in an eucalyptus forest. Revista Árvore, Viçosa, MG, v. 46, p. 1-9, 2022. DOI: 10.1590/1806-908820220000011. http://repositorio.ufla.br/jspui/handle/1/55271 |
identifier_str_mv |
SCHETTINI, B. L. S. et al. Use of destructive and non-destructive methodologies to estimate stem biomass accumulation and carbon stock in an eucalyptus forest. Revista Árvore, Viçosa, MG, v. 46, p. 1-9, 2022. DOI: 10.1590/1806-908820220000011. |
url |
http://repositorio.ufla.br/jspui/handle/1/55271 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Sociedade de Investigações Florestais (SIF) |
publisher.none.fl_str_mv |
Sociedade de Investigações Florestais (SIF) |
dc.source.none.fl_str_mv |
Revista Árvore reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1807835210918658048 |