Abstracts
Ecosystem carbon balance might be affected by the variability of seasonal distribution of precipitation under global climate change. Using the eddy covariance (EC) technique, long-term observations of ecosystem net CO2 exchange (NEE) were acquired over Lijiang alpine meadow in the southeastern Tibetan Plateau from January 2014 to August 2019. During the wet season (from June to October), Lijiang meadow functioned as a carbon sink (− 37.6 ± 22.5 g C m−2 month−1), while in dry season, the meadow varied between a weak carbon source and sink with an average monthly NEE of − 3.9 ± 11.9 g C m−2 month−1. Monthly CO2 fluxes were mainly controlled by air temperature and soil water content. A large annual variation of CO2 uptake was observed. The annual NEE was − 140.3 g C m−2 year−1 in 2014 while − 247.0 g C m−2 year−1 in 2016. Correspondingly, the precipitation in wet season accounted 90% of annual precipitation in 2014 and 74% of that in 2016 despite the annual precipitation was larger than 1200 mm in both years. More precipitation in dry season can lead to longer period of net CO2 uptake, while more precipitation concentrated in wet season depressed the meadow’s light response through the decrease of the magnitude of light-saturated net CO2 exchange (NEEsat) at the onset and the end of growing season.
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Acknowledgements
This study was supported by the National Natural Science Foundation of China (Grant No. 41975017, 91937301, 41775018, and 41905010) and the Second Tibetan Plateau Scientific Expedition and Research (STEP) program (Grant No. 2019QZKK0105). We are grateful to Dr. Wenjuan Sun from Institute of Botany, Chinese Academy of Sciences for her support in the analysis of soil properties. We also greatly appreciate Mr. Hua Lin and Mr. Youen Guo from Lijiang Meteorological Bureau for their help in the maintenance of the measurement instruments.
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Zheng, Y., Liu, H., Du, Q. et al. Effects of precipitation seasonal distribution on net ecosystem CO2 exchange over an alpine meadow in the southeastern Tibetan Plateau. Int J Biometeorol 66, 1561–1573 (2022). https://doi.org/10.1007/s00484-022-02300-7
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DOI: https://doi.org/10.1007/s00484-022-02300-7