Abstract
Abstract The ability of bamboo to store carbon in its biomass varies depending on species, site conditions, and management practices. In Nepal, bamboo is widely distributed outside forest areas, often with little or no management, making it essential to develop biomass models to quantify its carbon stock potential in such settings. Therefore, this study aims to develop species-specific aboveground biomass models for Bambusa teres Buch.-Ham. ex Munro and Bambusa tulda Roxb. in non-forest areas of Nepal. A total of 104 culms (54 B. teres , 50 B. tulda ) were sampled; diameter at breast height (DBH) and height ranged 4.0–9.4 cm and 8.3–22.4 cm in B. teres , 4.3–10.5 cm and 7.0–20.7 cm in B. tulda . Various regression models (linear, power, and exponential) were tested using DBH and height as independent variables and biomass components (foliage, branch, culm, and total aboveground biomass) as dependent variables. Due to the small sample size, the leave-one-out cross-validation method was used for model validation. Our findings indicate that B. tulda had significantly higher mean DBH, foliage, and branch biomass than B. teres . The power model incorporating both DBH and height (M9) performed best (adj. R 2 > 0.80) for predicting culm biomass and total aboveground biomass in both species. However, none of the models accurately predicted foliage biomass and branch biomass (adj. R 2 < 0.55), suggesting that allometric models may not be suitable for these components. This study aids in quantifying bamboo carbon and establishing a database for studied species, facilitating Nepal’s entry into the carbon credit market. We recommend development of species- and age-specific allometric models for other bamboo species along with belowground biomass models to enhance bamboo carbon quantification in non-forest settings in Nepal.
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Claims 4
Claim · model-written summary
B. tulda had significantly higher mean DBH, foliage biomass, and branch biomass than B. teres.
- Taxon
- B. tulda
Bambusa tuldae0 - Outcome
- mean DBH, foliage, and branch biomasse0
- Direction
- highere0
- Comparator
- B. terese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Bambusa teres and Bambusa tulda”
e0“B. tulda had significantly higher mean DBH, foliage, and branch biomass than B. teres”
Claim · model-written summary
The M9 power model using DBH and height best predicted culm and total aboveground biomass in both species.
- Taxon
- Bambusa teres and Bambusa tuldaBambusa tulda
Bambusa terest0 - Outcome
- predicting culm biomass and total aboveground biomasse0
- Direction
- beste0
- Value
- adj. R 2 > 0.80e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Bambusa teres and Bambusa tulda”
e0“The power model incorporating both DBH and height (M9) performed best (adj. R 2 > 0.80) for predicting culm biomass and total aboveground biomass in both species”
Claim · model-written summary
None of the models accurately predicted foliage or branch biomass.
- Taxon
- Bambusa teres and Bambusa tuldaBambusa tuldaBambusa terest0
- Outcome
- predicted foliage biomass and branch biomasse0
- Value
- adj. R 2 < 0.55e0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“Bambusa teres and Bambusa tulda”
e0“none of the models accurately predicted foliage biomass and branch biomass (adj. R 2 < 0.55)”
Claim · model-written summary
The authors recommend species- and age-specific and belowground biomass models for other bamboo species.
- Outcome
- development of species- and age-specific allometric models for other bamboo species along with belowground biomass modelse0
Verbatim
t0“Bambusa teres and Bambusa tulda”
e0“We recommend development of species- and age-specific allometric models for other bamboo species along with belowground biomass models”