Environmental Controls on Multi-Scale Dynamics of Net Carbon Dioxide Exchange From an Alpine Peatland on the Eastern Qinghai-Tibet Plateau.

Environmental Controls on Multi-Scale Dynamics of Net Carbon Dioxide Exchange From an Alpine Peatland on the Eastern Qinghai-Tibet Plateau.
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青藏高原东部高山泥炭地二氧化碳净交换多尺度动态的环境控制

DOI:
10.3389/fpls.2021.791343
复制
发表时间:
2021
影响因子:
5.6
通讯作者:
Chi J
Chi J
中科院分区:
生物学2区
文献类型:
--
作者:
Yao H;Peng H;Hong B;Guo Q;Ding H;Hong Y;Zhu Y;Cai C;Chi J

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泥炭地具有巨大的碳储存能力,在全球碳循环中发挥着重要作用。然而,在气候变化的情况下,泥炭地生态系统中储存的碳的未来仍不清楚。本研究基于涡度协方差技术,研究了青藏高原东部若尔盖泥炭地红源泥炭地的净生态系统CO2交换(NEE)及其控制因素。结果表明,红源高山泥炭地是一个CO2汇,2014年和2015年的年NEE分别为-226.61和-185.35 g C m–2。而2014年和2015年非生长季NEE分别为53.35和75.08 g C m–2,表明非生长季碳排放不容忽视。观测期间NEE日变化明显,CO2吸收最大值出现在12:30(北京时间,UTC+8)。 2014年和2015年非生长季的Q10值显着高于生长季,这表明非生长季的CO2通量比生长季的CO2通量对变暖更加敏感。我们使用小波分析研究了生长季节期间 NEE 的多尺度时间变化。在日常时间尺度上,光合有效辐射是 NEE 的主要驱动因素。 NEE 的季节变化主要由土壤温度驱动。降水量对NEE年变化的影响更大。降水事件次数的增加与年碳吸收量的增加有关。这项研究强调需要连续涡度协方差测量和时间序列分析方法,以加深我们对 NEE 的时间变化以及 NEE 与环境因素之间的多尺度相关性的理解。
Peatlands are characterized by their large carbon storage capacity and play an essential role in the global carbon cycle. However, the future of the carbon stored in peatland ecosystems under a changing climate remains unclear. In this study, based on the eddy covariance technique, we investigated the net ecosystem CO2 exchange (NEE) and its controlling factors of the Hongyuan peatland, which is a part of the Ruoergai peatland on the eastern Qinghai-Tibet Plateau (QTP). Our results show that the Hongyuan alpine peatland was a CO2 sink with an annual NEE of −226.61 and −185.35 g C m–2 in 2014 and 2015, respectively. While, the non-growing season NEE was 53.35 and 75.08 g C m–2 in 2014 and 2015, suggesting that non-growing seasons carbon emissions should not be neglected. Clear diurnal variation in NEE was observed during the observation period, with the maximum CO2 uptake appearing at 12:30 (Beijing time, UTC+8). The Q10 value of the non-growing season in 2014 and 2015 was significantly higher than that in the growing season, which suggested that the CO2 flux in the non-growing season was more sensitive to warming than that in the growing season. We investigated the multi-scale temporal variations in NEE during the growing season using wavelet analysis. On daily timescales, photosynthetically active radiation was the primary driver of NEE. Seasonal variation in NEE was mainly driven by soil temperature. The amount of precipitation was more responsible for annual variation of NEE. The increasing number of precipitation event was associated with increasing annual carbon uptake. This study highlights the need for continuous eddy covariance measurements and time series analysis approaches to deepen our understanding of the temporal variability in NEE and multi-scale correlation between NEE and environmental factors.
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