An assessment of high carbon stock and high conservation value approaches in Mandor Nature Reserve Based on Geospatial

Abstract Indonesia controls around 75%-80% of the world’s carbon stocks, so the amount of carbon stocks must be utilized as optimally as possible. This study aims to 1) obtain data on carbon stock potential and 2) create a spatial distribution of carbon in the Mandor Nature Reserve area of West Kalimantan which can later be designated as a high conservation value (HCV) area using a geospatial-based high carbon stock approach. The method used was secondary data analysis and field checking. The data collected were Sentinel 2A acquisitions in 2021 and 2023, Digital Elevation Model (DEM), and land cover in 2021-2023. Data analysis in this study used SNAP and ArcGIS. The results of carbon stock analysis on various land uses obtained an average of 3001.72876 tons/ha. The largest carbon stock is found in Secondary Swamp Forest, at 77,212.5119 tons/ha, with potential emissions of 386,062.5594 tons/ha. In Secondary Dryland Forest, Secondary Swamp Forest, and Shrubs, the total is 420,393.7891 USD. Overall, the CO2 value of land use in the study area was 526,996.2879 USD. By utilizing geospatial technology, efforts to estimate high carbon stocks on the surface become easier and faster. The results of estimating high carbon stocks in forest land cover in the study area are high. This condition can be used as a reference to be oriented towards the management of high carbon stocks and high conservation value and become an important basis for determining the price of CO2, for domestic and global carbon commercial markets.