Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/55271
Título: Use of destructive and non-destructive methodologies to estimate stem biomass accumulation and carbon stock in an eucalyptus forest
Título(s) alternativo(s): Uso de metodologias destrutivas e não destrutiva para estimar acúmulo de biomassa no tronco e estoque de carbono em uma floresta de eucalipto
Palavras-chave: Basic wood density
Forest plantation
Stem volume
Densidade básica da madeira
Florestas plantadas
Volume do tronco
Data do documento: 16-Mar-2022
Editor: Sociedade de Investigações Florestais (SIF)
Citação: 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.
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.
URI: http://repositorio.ufla.br/jspui/handle/1/55271
Aparece nas coleções:DCF - Artigos publicados em periódicos



Este item está licenciada sob uma Licença Creative Commons Creative Commons