The model of mangrove above ground biomass in Panai Hilir, Indonesia Samsuri*, Pasaribu SN, Zaitunah A, Dalimunthe A, Ahmad AG, Yunasfi, Sulistioadi
Universitas Sumatera Utara
Abstract
Mangrove forests are one of the forests with high carbon stores in the tropics. Recently, the availability of data and information regarding carbon storage,especially the biomass content of mangrove trees, which is still limited. One technique that can be used to calculate biomass is the use of remote sensing technology using satellite imagery and the application of transformation to the vegetationindex. This study aims to make the best model equations for estimating above ground biomass, create a map of the potential distribution of surface biomass, and compare the estimated above biomass values in 2002 and 2022 at the research location.This study used a systematic sampling method with a random start, with a total of 70 plots. Biomass calculations are carried out using allometric equations. Modelinguses the dependent variable (biomass) and the independent variable (vegetation index). Vegetation index used are NDVI, GNDVI, and TDVI. The results of this study obtained that the chosen equation model was the GNDVI (Green Normalized Difference Vegetation Index) linear equation model y = 11, 479x - 2,5569 with a R2 of 0,404. The average distribution of the above biomass of mangrove vegetation at research sites in 2002 was 109,66 tons/ha with the highest distribution of biomass being 200,48 tons/ha. The average above ground biomass of mangrove vegetation at the research location in 2022 is 98,28 tonnes/ha, with the highest biomass distribution of 213,10 tonnes/ha. In calculations using the selected model and index, in 2002, a total estimated average biomass of 495,21 tons/ha was obtained, and in 2022, a total estimated average biomass was obtained at 405,52 tons/ha, with a difference of 89,69 tons/ha.
