Basic densities as a parameter for estimating the amount of carbon removal by forests and their variation

Basic densities as a parameter for estimating the amount of carbon removal by forests and their variation

Dec. 2007 | FUJIWARA Takeshi 1)*, YAMASHITA Kana 1), KURODA Katsushi 1)
This study measured the basic density of wood from 10 softwood species (572 trees) and 50 hardwood species (440 trees) to estimate carbon removal by forests, following the guidelines of the Kyoto Protocol and Marrakesh Accord. The average basic densities and their 95% confidence limits were calculated for each species, and variations within species and between plots were analyzed. Most species showed low uncertainty (up to 5%) and no significant regional differences. However, some species, such as Larix kaempferi, Picea jezoensis, and Picea glehnii, exhibited significant plot differences, while others like Chamaecyparis obtusa and Abies sachalinensis did not. Stand age and tree age showed no significant correlation with basic density, suggesting that younger stands (younger than 20 years) did not differ from older stands. These findings indicate that using basic density as a parameter for estimating carbon removal by forests does not require district-specific or age-class values for most species. The study also suggests that further analysis may be needed for species like Thuja plicata var. hondae, which showed a significant correlation between stand age and basic density. Overall, the results support the use of species-specific basic density values for carbon accounting purposes.This study measured the basic density of wood from 10 softwood species (572 trees) and 50 hardwood species (440 trees) to estimate carbon removal by forests, following the guidelines of the Kyoto Protocol and Marrakesh Accord. The average basic densities and their 95% confidence limits were calculated for each species, and variations within species and between plots were analyzed. Most species showed low uncertainty (up to 5%) and no significant regional differences. However, some species, such as Larix kaempferi, Picea jezoensis, and Picea glehnii, exhibited significant plot differences, while others like Chamaecyparis obtusa and Abies sachalinensis did not. Stand age and tree age showed no significant correlation with basic density, suggesting that younger stands (younger than 20 years) did not differ from older stands. These findings indicate that using basic density as a parameter for estimating carbon removal by forests does not require district-specific or age-class values for most species. The study also suggests that further analysis may be needed for species like Thuja plicata var. hondae, which showed a significant correlation between stand age and basic density. Overall, the results support the use of species-specific basic density values for carbon accounting purposes.
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