Carbon sequestration by producers constitutes a vital ecological function executed by ecosystems to mitigate global warming due to burgeoning sustained anthropogenic activities with the release of greenhouse gases (carbon dioxide, methane, carbon monoxide, etc.). The Current study evaluates carbon dynamics in forest ecosystems through the InVest model with the temporal land use analyses using remote sensing data from 1973 to 2021 in the Chikamagaluru district of Karnataka. The land use dynamics are assessed using temporal remote sensing data through a machine learning-based supervised Random Forest algorithm, which shows a decline in forest cover of 28.98%, an increase in agricultural area by 5.31%, and horticulture by 42.52% in the last five decades which has led to the depletion of carbon stock by 30683.81 Gg. Land use changes have a long-term effect on climatic variables, leading to changes in local temperature, annual rainfall, and number of rainy days in the study area.

Keywords: Landscape dynamics, Carbon sequestration, Climate Change, InVEST,