中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Modeling the carbon dynamics of ecosystem in a typical permafrost area

文献类型:期刊论文

作者Wang, Yusheng4; Yu, Deyong3,4; Li, Jingwen2; Huang, Ting1
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2024-07-15
卷号934页码:15
关键词Carbon stocks Permafrost Driving factors Community Land Model
ISSN号0048-9697
DOI10.1016/j.scitotenv.2024.173204
产权排序3
英文摘要Climate change poses mounting threats to fragile alpine ecosystem worldwide. Quantifying changes in carbon stocks in response to the shifting climate was important for developing climate change mitigation and adaptation strategies. This study utilized a process-based land model (Community Land Model 5.0) to analyze spatiotemporal variations in vegetation carbon stock (VCS) and soil organic carbon stock (SOCS) across a typical permafrost area - Qinghai Province, China, from 2000 to 2018. Multiple potential factors influencing carbon stocks dynamics were analyzed, including climate, vegetation, soil hydrothermal status, and soil properties. The results indicated that provincial vegetation carbon storage was 0.22 PgC (0.32 kg/m2) and soil organic carbon pool was 9.12 PgC (13.03 kg/m2). VCS showed a mild increase while SOCS exhibited fluctuating uptrends during this period. Higher carbon stocks were observed in forest (21.74 kg/m2) and alpine meadow (18.08 kg/m2) compared to alpine steppes (9.63 kg/m2). Over 90 % of the carbon was stored in the 0-30 cm topsoil layer. The contribution rates of soil carbon in the 30-60 cm and 60-100 cm soil layers were significantly small, despite increasing stocks across all depths. Solar radiation, temperature, and NDVI emerged as primary influential factors for overall carbon stocks, exhibiting noticeable spatial variability. For SOCS at different depths, the normalized differential vegetation index (NDVI) was the foremost predictor of landscape-level carbon distributions, which explained 52.8 % of SOCS variability in shallow layers (0-30 cm) but dropped to just 12.97 % at the depth of 30-60 cm. However, the dominance of NDVI diminished along the soil depth gradients, superseded by radiation and precipitation. Additionally, with an increase in soil depth, the influence of inherent soil properties also increased. This simulation provided crucial insights for landscape-scale carbon responses to climate change, and offered valuable reference for other climate change-sensitive areas in terms of ecosystem carbon management.
WOS关键词SOIL ORGANIC-CARBON ; COMMUNITY LAND MODEL ; TERRESTRIAL ECOSYSTEMS ; TIBETAN PLATEAU ; TEMPERATURE SENSITIVITY ; ALPINE GRASSLANDS ; TURNOVER TIMES ; CLIMATE-CHANGE ; MATTER ; VEGETATION
资助项目Programs of Science and Technology Department of Qinghai Province[2024-ZJ-919] ; Programs of Science and Technology Department of Qinghai Province[2021-SF-A7-1] ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP)[2019QZKK1001]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001298387000001
出版者ELSEVIER
资助机构Programs of Science and Technology Department of Qinghai Province ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP)
源URL[http://ir.igsnrr.ac.cn/handle/311030/208789]  
专题中国科学院地理科学与资源研究所
通讯作者Yu, Deyong
作者单位1.Beijing Sch, Beijing 101117, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Qinghai Normal Univ, Key Lab Tibetan Plateau Land Surface Proc & Ecol C, Minist Educ, Xining 810016, Peoples R China
4.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol E, Beijing 100875, Peoples R China
推荐引用方式
GB/T 7714
Wang, Yusheng,Yu, Deyong,Li, Jingwen,et al. Modeling the carbon dynamics of ecosystem in a typical permafrost area[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2024,934:15.
APA Wang, Yusheng,Yu, Deyong,Li, Jingwen,&Huang, Ting.(2024).Modeling the carbon dynamics of ecosystem in a typical permafrost area.SCIENCE OF THE TOTAL ENVIRONMENT,934,15.
MLA Wang, Yusheng,et al."Modeling the carbon dynamics of ecosystem in a typical permafrost area".SCIENCE OF THE TOTAL ENVIRONMENT 934(2024):15.

入库方式: OAI收割

来源:地理科学与资源研究所

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