Assessment of Above-Ground Biomass and Carbon Sequestration Potential in the Moist Temperate Forests of Abbottabad District. A Geospatial Modeling Approach Using Satellite Imagery and Forest Inventory Data

Abstract

Forest plays a vital role in regulating carbon and oxygen in ecosystem. Study aims to map the above-ground biomass (AGB), carbon pool, and carbon sequestration potential of the Abbottabad Forest area, while also analyzing the impact of climate indicators on carbon stock through sensitivity analysis. Using remote sensing techniques and geospatial analysis, we quantified the biomass and carbon content in different forest strata. The results indicate significant variations in AGB, ranging from 93.35 to 265.02 t/ha, with a mean of 178.6 t/ha, and corresponding above-ground carbon (AGC) values ranging from 43.87 to 124.56 t/ha, averaging 83.94 t/ha. Total carbon sequestration potential was also evaluated, showing a mean of 105.76 t/ha and a maximum of 156.94 t/ha, while the total CO2 equivalent sequestration ranged from 202.32 to 574.41 t/ha. Additionally, the sensitivity analysis identified regions within the forest that are more susceptible to climatic changes, with some areas demonstrating high sensitivity to fluctuations in temperature and precipitation. Land use and land cover (LULC) changes were assessed, revealing significant shifts over study period, including a decrease in agricultural (-13.3%) and bare land (-0.5%) areas, and an increase in forest cover (9%). The urban and water bodies also showed slight expansions. The findings underscore the importance of targeted climate adaptation strategies to enhance carbon sequestration and improve forest resilience. Study concludes that by integrating biomass mapping with sensitivity analysis of climatic parameters, this research presents a comprehensive approach to understanding the interplay between forest dynamics and climate change, which is essential for informed decision-making and policy formulation. Study recommends to expand the application of geospatial modeling across other forest types in Pakistan to develop a comprehensive carbon inventory. Additionally, integrating these findings into local and national climate policies can enhance carbon sequestration and forest conservation efforts.