KPHP Unit XIII Muaro Jambi as the forest management unit at site level has the potential as a large enough carbon sink. Given the area that reaches 107,839 hectares and has a type of peat soil, it is necessary to analyze carbon stocks in this forest area. Estimation of carbon stocks above ground level with non-destructive methods can be carried out using remote sensing technology by connecting the results of measurements in the field. Calculation of carbon stocks was calculated from biomass measurement in the field using allometric equations. The variables measured in this study were biomass stocks in sapling, pole, and tree stages. The data taken include data on diameter at breast height (DBH). The results showed that number of carbon stocks in 2022 in the sample plot based on the vegetation index (NDVI) class in KPHP Unit XIII Muaro Jambi from field measurements as follows: for sparse/low-density class, the average biomass is 23.27 tons/ha, the medium density class is 25.70 tons/ha. The last NDVI class, for the high-density class, the biomass stock is 74.62 tons/ha. Average biomass for all classes is 123.59 tons/ha and average of carbon content is 61.80 tons/ha.
CITATION STYLE
Achmad, E., & Muryunika, R. (2023). Above-ground carbon stock estimation based on vegetation index classes of succession burnt peatland forest area in Jambi Province. In IOP Conference Series: Earth and Environmental Science (Vol. 1192). Institute of Physics. https://doi.org/10.1088/1755-1315/1192/1/012051
Mendeley helps you to discover research relevant for your work.