Estimation of aboveground carbon stock on stands vegetation, especially in community forests in Indonesia has become an urgent issue in the effort to calculate, monitor, manage, and evaluate carbon stocks. The study aims to test the accuracy of the estimated model of aboveground carbon stocks, to ascertain the total carbon stock, and to map the spatial distribution of carbon stocks on stands vegetation in Lemo Nakai community forest lying on 3°25’59,588” - 3 27’57,982” alt. and 102°19’25,108” - 102°22’23,416” long., covering 1,053. 53 ha.   The study was conducted from February to June, 2022 at Baturaja Village, North Bengkulu District. Forest structures grouped classified in four classes; dense, medium, sparse, and no forest stand using stratified sampling plots (20 m x 20 m each) systematically spread out at studied forest area. Above-ground biomass and carbon stock of the forest stand was estimated using allometric models. Spatial data collected from Landsat 8 OLI (operational land imager) were used to produce land-use maps of the Lemo Nakai community forest to estimate the total carbon stock, obtained from the United State Geological Survey (USGS). The result showed that the dense-, medium-, and sparse forest structure covered about 600.30 ha, 393.48 ha, and 48.24 ha, respectively. Above-ground biomass of the Lemo Nakai community forest was estimated at the dense-, medium-, and sparse structure were, respectively 390 tons ha^-1, 279 tons ha^-1, and 16 tons ha^-1 with carbon stock at 179.40 tons ha^-1, 128.34 tons ha^-1, and 7.36 tons ha^-1, respectively. Furthermore, estimated CO2eq absorption at the dense-, medium-, and sparse forest structure were, respectively 657.80 tons ha^-1, 470.58 tons ha^-1, and 26.98 tons ha^-1.

Keywords: Aboveground biomass, carbon stock, community forest, spatial analysis