Carbon and Nitrogen Turnover Times of South Korean Forests Estimated via Data-Model Fusion
- Authors
- Kim, Hyung-Sub; Luo, Yiqi; Noulekoun, Florent; Noh, Nam Jin; Lee, Jongyeol; Son, Yowhan
- Issue Date
- Oct-2021
- Publisher
- AMER GEOPHYSICAL UNION
- Citation
- JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, v.126, no.10
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
- Volume
- 126
- Number
- 10
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/136207
- DOI
- 10.1029/2021JG006368
- ISSN
- 2169-8953
- Abstract
- Biogeochemical models use estimates of carbon (C) and nitrogen (N) turnover times for the future projection of global forest C and N stocks, but unexplained variation in the C and N turnover times is causing considerable uncertainty. This study aimed to estimate C and N turnover times of South Korean forests and explain their variation with forest type, temperature, precipitation, stand age, and ecosystem C:N ratio. We used the balance method and data-model fusion to estimate the C and N turnover times. Data-model fusion was used to integrate the National Forest Inventory data (2011-2020) with a biogeochemical model, Forest Biomass and Dead organic matter Carbon and Nitrogen (FBD-CAN). The N turnover time (376-499 years) was similar to 45 times longer than the C turnover time (9-10 years). Forest type had no substantial effects on the C and N turnover times. However, the C and N turnover times were positively correlated with stand age and ecosystem C:N ratio, and negatively correlated with temperature. Overall, ecosystem C:N ratio, stand age, temperature, and precipitation explained 45%, 15%, 12%, and 3%, respectively, of the total variation of the C and N turnover times. These results contribute to the understanding and prediction of forest C and N changes in a changing world and highlight the importance of considering C:N ratio for reliable estimation of the C and N turnover times.
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Collections - College of Life Sciences and Biotechnology > Division of Environmental Science and Ecological Engineering > 1. Journal Articles
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