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    • Modeling the Carbon Dynamics of Ecosystem in a Typical Permafrost Area

    Yusheng Wang,Deyong Yu,Jingwen Li,Ting Huang

    SCIENCE OF THE TOTAL ENVIRONMENT（2024）

    State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE)

    Cited 1|Views13
    Abstract
    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 However, the dominance of NDVI diminished along the soil depth gradients, superseded by radiation and precipitation.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.
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    Carbon stocks,Permafrost,Driving factors,Community Land Model
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    【要点】：本研究利用过程基陆地模型（Community Land Model 5.0）分析了气候变化对青海省典型冻土区域植被碳储量（VCS）和土壤有机碳储量（SOCS）的影响，揭示了碳储量动态变化的主要影响因素。
    

    【方法】：通过模拟分析2000年至2018年间青海省冻土区域的植被和土壤碳储量动态，并结合气候、植被、土壤水热状况及土壤特性等多因素进行分析。
    

    【实验】：研究使用了Community Land Model 5.0模型，数据集包括青海省冻土区域的植被和土壤碳储量，结果显示植被碳储存量为0.22 PgC（0.32 kg/m²），土壤有机碳储量为9.12 PgC（13.03 kg/m²），且碳储存的主要影响因素为太阳辐射、温度和归一化植被指数（NDVI）。