Allometric model for estimating above- and belowground biomass of Gigantochloa apus (Schult.f.) Kurz ex Munro
2025
Elham Sumarga | Devi N. Choesin | Johanson Eleazar | Otniel Binsar Triagung | Tati Suryati Syamsudin | Atmawi Darwis | Yayat Hidayat
Indonesia's commitment to reducing greenhouse gas emissions hinges largely on its forestry sector through the “FOLU Net Sink 2030” programme that aims to create a net carbon sink by 2030. Bamboo forests, widely distributed across rural areas in Indonesia, offer significant potential to contribute to this target. We focused on developing models to estimate the carbon stored in both aboveground and belowground biomass of the bamboo Gigantochloa apus. An allometric model for aboveground biomass (AGB) was created by analyzing the relationship between bamboo stand biomass and diameter at breast height (DBH). To obtain biomass data, 30 bamboo stands were felled and their dry weight measured. Belowground biomass (BGB) was estimated using two methods: an allometric model and the root-to-shoot ratio. The model linked bamboo clump basal area to its belowground biomass, determined by removing and weighing sample clump roots. The ratio was calculated by comparing AGB and BGB. We found that a power model provided the best prediction of AGB in Gigantochloa apus, as evidenced by an R² value of 0.94. Basal area of bamboo clumps proved to be a strong predictor for BGB estimation, resulting in a high accuracy model with an R2 of 0.92. The mean root-to-shoot ratio of Gigantochloa apus biomass was 0.62, indicating that this bamboo invests more in its aboveground structures compared to its root system. Our research provides a valuable tool for accurately and efficiently assessing carbon storage in bamboo forests, supporting Indonesia's efforts to mitigate climate change.
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