Next Article in Journal
Wood Species Differentiation: A Comparative Study of Direct Analysis in Real-Time and Chromatography Mass Spectrometry
Previous Article in Journal
Prediction of Color Change in Heat-Treated Wood Based on Improved Zebra Algorithm Optimized Deep Hybrid Kernel Extreme Learning Machine Model (IZOA-DHKELM)
Previous Article in Special Issue
Land Use/Change and Local Population Movements in Stone Pine Forests: A Case Study of Western Türkiye
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

A Study on the Prediction of Long-Term Carbon Absorption by Applying the Renewal Scenario of Forest in Korea

1
Division of Forest Management Research, National Institute of Forest Science, Seoul 02455, Republic of Korea
2
Program in Circular Economy Environmental System, Inha University, Incheon 22212, Republic of Korea
3
CREIDD Research Center on Environmental Studies & Sustainability, UR InSyTE (Interdisciplinary Research on Society-Technology-Environment Interactions), University of Technology of Troyes, 10300 Troyes, France
4
Department of Environmental Engineering, Inha University, Incheon 22212, Republic of Korea
5
Institute of Ecology and Environmental Sciences-Paris (iEESParis), Community Diversity & Ecosystem Functioning (DCFE), Sorbonne Université, 75006 Paris, France
*
Authors to whom correspondence should be addressed.
Forests 2025, 16(2), 254; https://doi.org/10.3390/f16020254
Submission received: 3 January 2025 / Revised: 23 January 2025 / Accepted: 25 January 2025 / Published: 29 January 2025
(This article belongs to the Special Issue Forest Management: Planning, Decision Making and Implementation)

Abstract

As global warming has emerged as an essential global solution, the role of carbon neutrality is required to respond to rapidly changing environmental policies. Forests are an important means for achieving carbon neutrality as they act as a key carbon sink, and, among them, forest management called afforestation is emerging as a decisive factor. However, although various studies are being conducted to enhance carbon absorption capacity, there are not many long-term research cases on afforestation. In this study, the cumulative carbon absorption for a total of 90 years from 1 January 2020 to 31 December 2100 was set as the baseline. Various changes were made according to the cyclical trend of the species and age classes planted nationwide, and various results were derived through the regeneration scenario. As a result of the study, the difference between the maximum value and the baseline CO2 absorption was approximately 130 million t CO2 when compared with the 90-year cumulative value. When converted into an annual unit, it increased by more than 14 million t CO2. Based on the highest figures, compared with statistics from the Ministry of Environment’s Greenhouse Gas Information Center, it was confirmed that the forest absorption source, which was offset by 6.26 percent in 2019, could be changed by up to 8.74 percent. When analyzing the maximum figures from this study, depending on the method of afforestation, the greenhouse gases emitted by approximately 9.32 million passenger cars per year could be offset. In conclusion, among the carbon neutrality tasks that must be addressed at the national level, it is very important to establish long-term direction decisions and detailed plans for the forest sector, which is the core of carbon sinks, and a strategic approach is essential. Based on this study, it is expected that a more systematic direction can be presented for planning and implementing future afforestation.
Keywords: CO2 uptake; forest management; natural species; regeneration scenarios CO2 uptake; forest management; natural species; regeneration scenarios

Share and Cite

MDPI and ACS Style

Kwon, S.; Chang, Y.-S.; Kim, J.; Hwang, Y.W.; Lata, J.-C. A Study on the Prediction of Long-Term Carbon Absorption by Applying the Renewal Scenario of Forest in Korea. Forests 2025, 16, 254. https://doi.org/10.3390/f16020254

AMA Style

Kwon S, Chang Y-S, Kim J, Hwang YW, Lata J-C. A Study on the Prediction of Long-Term Carbon Absorption by Applying the Renewal Scenario of Forest in Korea. Forests. 2025; 16(2):254. https://doi.org/10.3390/f16020254

Chicago/Turabian Style

Kwon, Soongil, Yoon-Seong Chang, Junbeum Kim, Yong Woo Hwang, and Jean-Christophe Lata. 2025. "A Study on the Prediction of Long-Term Carbon Absorption by Applying the Renewal Scenario of Forest in Korea" Forests 16, no. 2: 254. https://doi.org/10.3390/f16020254

APA Style

Kwon, S., Chang, Y.-S., Kim, J., Hwang, Y. W., & Lata, J.-C. (2025). A Study on the Prediction of Long-Term Carbon Absorption by Applying the Renewal Scenario of Forest in Korea. Forests, 16(2), 254. https://doi.org/10.3390/f16020254

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop