Disturbance dynamics reorganize the spatial persistence of forest carbon under climate warming

This dataset contains processed geospatial layers used to evaluate forest carbon stability under climate change scenarios in Gyeongsangnam-do, Republic of Korea. The dataset includes forest carbon stability indices and composite disturbance risk layers derived from multiple disturbance factors. These data support the spatial analysis presented in the associated manuscript.