Unveiling evapotranspiration patterns and energy balance in a subalpine forest of the Qinghai–Tibet Plateau: observations and analysis from an eddy covariance system

Niu Zhu1,2,3, Jinniu Wang1,3(), Dongliang Luo4, Xufeng Wang3, Cheng Shen1,3, Ning Wu1, Ning Zhang1,2,3, Binghui Tian1,2,3, Aihong Gai2

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Journal of Forestry Research ›› 2024, Vol. 35 ›› Issue (1) : 53. DOI: 10.1007/s11676-024-01708-8

Unveiling evapotranspiration patterns and energy balance in a subalpine forest of the Qinghai–Tibet Plateau: observations and analysis from an eddy covariance system

  • Niu Zhu1,2,3, Jinniu Wang1,3(), Dongliang Luo4, Xufeng Wang3, Cheng Shen1,3, Ning Wu1, Ning Zhang1,2,3, Binghui Tian1,2,3, Aihong Gai2
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Abstract

Evapotranspiration is an important parameter used to characterize the water cycle of ecosystems. To understand the properties of the evapotranspiration and energy balance of a subalpine forest in the southeastern Qinghai–Tibet Plateau, an open-path eddy covariance system was set up to monitor the forest from November 2020 to October 2021 in a core area of the Three Parallel Rivers in the Qinghai–Tibet Plateau. The results show that the evapotranspiration peaked daily, the maximum occurring between 11:00 and 15:00. Environmental factors had significant effects on evapotranspiration, among them, net radiation the greatest (R2 = 0.487), and relative humidity the least (R2 = 0.001). The energy flux varied considerably in different seasons and sensible heat flux accounted for the main part of turbulent energy. The energy balance ratio in the dormant season was less than that in the growing season, and there is an energy imbalance at the site on an annual time scale.

Keywords

Evapotranspiration / Energy balance / Subalpine forest / Three Parallel Rivers region / Southeast Qinghai–Tibet Plateau

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Niu Zhu, Jinniu Wang, Dongliang Luo, Xufeng Wang, Cheng Shen, Ning Wu, Ning Zhang, Binghui Tian, Aihong Gai. Unveiling evapotranspiration patterns and energy balance in a subalpine forest of the Qinghai–Tibet Plateau: observations and analysis from an eddy covariance system. Journal of Forestry Research, 2024, 35(1): 53 https://doi.org/10.1007/s11676-024-01708-8

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