Allometric relationships of stand level carbon stocks to basal area, tree height and wood density of nine tree species in Bangladesh

• Published in: Global ecology and conservation Vol. 22; p. e01025
• Main Authors: Khan, Md. Nabiul Islam, Islam, Md. Rafikul, Rahman, Atikur, Azad, Md. Salim, Mollick, Abdus Subhan, Kamruzzaman, Md, Sadath, Md. Nazmus, Feroz, S.M., Rakkibu, Md. Golam, Knohl, Alexander
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2020; Elsevier
• Subjects: Aboveground biomass; allometry; Bangladesh; Belowground biomass; biomass; carbon; climate change; deforestation; forestry; forests; prediction; reducing emissions from deforestation and forest degradation; spatial data; stand basal area; Stand variables; Three-variable allometric model; tree height; trees; Wood density; Bangladesh; Wood density; Stand variables; Three-variable allometric model; Belowground biomass; Aboveground biomass
• ISSN: 2351-9894; 2351-9894
• DOI: 10.1016/j.gecco.2020.e01025

Forest carbon stocks can be estimated using some easily measureable stand variables, such as basal area, mean or maximum tree height and wood density. Estimation of stand level carbon stocks per unit area of forests or woodlands is of great importance for forestry related mitigation options of futur...