Work

Uncovering Biodiversity and Carbon Stock Potential in the Raghunandan Hill Reserve Forest of Bangladesh

Year: 2025

Type: article

Abstract: Understanding tree species composition, regeneration status, and biomass carbon storage is crucial for evaluating the sustainability of forest ecosystems under increasing anthropogenic pressure. This study assessed these parameters in Raghunandan Hill Reserve Forest (RHRF) to support evidence‐based decision‐making, sustainable management, and carbon budgeting. The field activity was conducted during November–December 2024 in Shahapur and Shaltila beats of RHRF using 60 randomly selected plots. Tree composition was assessed using 20 m × 20 m quadrats, and the regeneration was evaluated using 5 m × 5 m subplots. Trees with a diameter at breast height (DBH) ≥ 5 cm were recorded and analyzed for density, frequency, dominance, and Importance Value Index (IVI). Aboveground biomass (AGB) was estimated by Brown’s allometric model, and carbon stock was estimated by standard conversion factors through adding 15% of belowground biomass (BGB) following MacDicken’s approach. The study recorded 45 tree species under 22 families. The highest RDe (13.52%) and relative frequency (10.67%) were found for Tectona grandis , while Artocarpus chama dominated in relative dominance (25.51%) and IVI (38.63 of 300). However, the highest basal area is possessed by Ficus benghalensis (30 m 2 /ha). Regeneration is dominated by Shorea robusta and Syzygium cumini and comprises 26 tree species (19 indigenous and 7 exotics, including 4 invasive). Artocarpus chama showed the highest biomass (121.07 tons/ha) and carbon stock (60.54 tons/ha). These findings underscore the ecological significance of RHRF for conserving native species, along with its potential in carbon accounting initiatives. Furthermore, the findings provide evidence for local forest management and REDD+ initiatives and contribute to international monitoring platforms such as Global Forest Watch and FAO’s Forest Resource Assessment (FRA).

Source: International Journal of Forestry Research

DOI: 10.1155/ijfr/8929647