Individual carbon estimation for Araucaria angustifolia

Forests are important carbon sinks that contribute to climate change mitigation. Quantifying the carbon stock is critical for measuring such mitigation potential. Araucaria angustifolia (Bert.) O. Ktze. Araucariaceae is a key forest species in southern Brazil, due to its ecological and economic impo...

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Detalhes bibliográficos
Autores: Sanquetta, Carlos Roberto, Dalla Corte, Ana Paula, Mognon, Francelo, Maas, Greyce Charllyne Benedet, Rodrigues, Aurélio Lourenço
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:Brasil
Recursos:Universidade Federal de Goiás (UFG)
Repositorio:Pesquisa Agropecuária Tropical (Online)
Idioma:portugués
OAI Identifier:oai:ojs.revistas.ufg.br:article/22358
Acesso em linha:https://revistas.ufg.br/pat/article/view/22358
Access Level:acceso abierto
Palavra-chave:Araucaria angustifolia (Bert.) O. Ktze. Araucariaceae
biomass expansion factor
root-to-shoot ratio.
fator de expansão de biomassa
razão de raízes.
Descrição
Resumo:Forests are important carbon sinks that contribute to climate change mitigation. Quantifying the carbon stock is critical for measuring such mitigation potential. Araucaria angustifolia (Bert.) O. Ktze. Araucariaceae is a key forest species in southern Brazil, due to its ecological and economic importance. This study aimed at comparing two procedures for estimating individual carbon stock (C) of A. angustifolia, in pure stands established in the southern Paraná State, Brazil. Individual carbon stocks were determined for thirty trees, as well as correlations between C, dendometric variables, Biomass Expansion Factor (BEF) and Root-to-Shoot Ratio (R). Regression equations of C, concerning Diameter Breast Height (DBH) and total height (H), were adjusted and compared to trunk volume (V) estimates combined with BEF and R. DBH and H showed high correlation to C, what did not happen to tree age, BEF and R. The regression equations of C, concerning DBH and H, adjusted well to the data set, providing reliable estimates. The same happened to the volume equations combined with expansion factors, which also provided statistically acceptable estimates. No difference was observed between the two procedures tested, being both reliable for estimating the individual carbon stock.