Estimation of aboveground carbon stock using the 8 operation land imagery in Lemo Nakai community forest, Indonesia

Abstract

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 structure grouped classified into three classes; dense, medium and sparse stand using stratified sampling plots systematically spread out at the forest studied forest area. Above-ground biomass and carbon stock of the forest stand were 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, 2021). The result showed that the dense-, medium-, and sparse forest structure covered about 753,69 ha, 3232,41ha, and 32,49 ha, respectively. Above-ground biomass of the Lemo Nakai community forest was estimated at the dense-, medium-, and sparse structures were, respectively 389.74 tons ha-1, 278.88 tons ha-1, and 149.28 tons ha-1 with carbon stock at 179.40 tons ha-1, 128.29 tons ha-1, and 68.67 tons ha-1, respectively. Furthermore, estimated CO2eq absorption at the dense-, medium-, and sparse forest structure, respectively 657.80 tons ha-1, 470.58 tons ha-1, and 26.98 tons ha-1.