Carbon and Nitrogen Turnover Times of South Korean Forests Estimated via Data-Model Fusion
DC Field | Value | Language |
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dc.contributor.author | Kim, Hyung-Sub | - |
dc.contributor.author | Luo, Yiqi | - |
dc.contributor.author | Noulekoun, Florent | - |
dc.contributor.author | Noh, Nam Jin | - |
dc.contributor.author | Lee, Jongyeol | - |
dc.contributor.author | Son, Yowhan | - |
dc.date.accessioned | 2022-02-18T09:40:48Z | - |
dc.date.available | 2022-02-18T09:40:48Z | - |
dc.date.created | 2022-02-08 | - |
dc.date.issued | 2021-10 | - |
dc.identifier.issn | 2169-8953 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/136207 | - |
dc.description.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. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | AMER GEOPHYSICAL UNION | - |
dc.subject | MEAN RESIDENCE TIME | - |
dc.subject | LEAF LIFE-SPAN | - |
dc.subject | EXTREME PRECIPITATION REGIMES | - |
dc.subject | LITTER DECOMPOSITION | - |
dc.subject | DATA ASSIMILATION | - |
dc.subject | SOIL RESPIRATION | - |
dc.subject | ORGANIC-CARBON | - |
dc.subject | AGE-SEQUENCE | - |
dc.subject | CLIMATE | - |
dc.subject | TEMPERATURE | - |
dc.title | Carbon and Nitrogen Turnover Times of South Korean Forests Estimated via Data-Model Fusion | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Son, Yowhan | - |
dc.identifier.doi | 10.1029/2021JG006368 | - |
dc.identifier.scopusid | 2-s2.0-85114726886 | - |
dc.identifier.wosid | 000711969900026 | - |
dc.identifier.bibliographicCitation | JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, v.126, no.10 | - |
dc.relation.isPartOf | JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES | - |
dc.citation.title | JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES | - |
dc.citation.volume | 126 | - |
dc.citation.number | 10 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalResearchArea | Geology | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalWebOfScienceCategory | Geosciences, Multidisciplinary | - |
dc.subject.keywordPlus | AGE-SEQUENCE | - |
dc.subject.keywordPlus | CLIMATE | - |
dc.subject.keywordPlus | DATA ASSIMILATION | - |
dc.subject.keywordPlus | EXTREME PRECIPITATION REGIMES | - |
dc.subject.keywordPlus | LEAF LIFE-SPAN | - |
dc.subject.keywordPlus | LITTER DECOMPOSITION | - |
dc.subject.keywordPlus | MEAN RESIDENCE TIME | - |
dc.subject.keywordPlus | ORGANIC-CARBON | - |
dc.subject.keywordPlus | SOIL RESPIRATION | - |
dc.subject.keywordPlus | TEMPERATURE | - |
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