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Fig. 2 | Carbon Balance and Management

Fig. 2

From: Application of integrated Korean forest growth dynamics model to meet NDC target by considering forest management scenarios and budget

Fig. 2

Schematic workflow of the KO-G-Dynamic model processes. Current information on the forest physiognomy was based on the Korean National Forest Inventory, map of forest type, topography, and social data. Subsequently, the site index and stand density were estimated using the stand age and dominant tree information. Then, the mean stand diameter at breast height could be estimated. The stand volume and C stock were estimated using the mean diameter at breast height, tree height, and stand density. To predict future forest physiognomy, the diameter at breast height and stand density were derived using a climatic change scenario (CC), and stand volume, C stock, and CO2 sequestration were calculated. The forest management decision-making algorithm assumes that the stand volume, applied with silvicultural interventions, is converted to wood and logging residues. It is assumed that harvested forest areas are reforested with the appropriate tree species to address climate change

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