The Hydrothermal Regulation of Methane Flux in China’s Largest Semi-Fixed Desert

Based on eddy covariance data collected during March to June 2021 in the Gurbantunggut Desert, this study analyzed desert methane (CH4) flux dynamics. Results show the following: (1) The desert functions as a weak methane sink from March to June in the growing season, with its CH4 flux showing a U-shaped diurnal variation pattern. The absorption peak occurred in June, reaching −79.1 mg·m−2·month−1. (2) Diurnally, CH4 flux correlated negatively with soil temperature (Tsoil), vapor pressure deficit, and photosynthetically active radiation (rTsoil = −0.58, rVPD = −0.49, rPAR = −0.49), positively with soil water content (SWC) and relative humidity (RH) (rRH = 0.53, rSWC = 0.28). (3) Fixed-effects regression isolated individual and interactive effects of SWC and Tsoil, yielding the model: CH4 = −0.002 − 0.017SWC − 0.00004Tsoil − 0.002(SWC × Tsoil). The model highlights CH4 flux sensitivity to hydrothermal factors and underscores the importance of their interaction for accurate flux estimation and understanding arid zone carbon cycle-climate feedbacks.

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Publication Details

Journal
Land
Published
2026-06-17
DOI
https://doi.org/10.3390/land15061070
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

The Hydrothermal Regulation of Methane Flux in China’s Largest Semi-Fixed Desert

Hajigul Sayit, JS Gao, Ali Mamtimin, Yue Wang et al.
Land
Atmospheric and Environmental Gas Dynamics
article

The Hydrothermal Regulation of Methane Flux in China’s Largest Semi-Fixed Desert

Hajigul Sayit, JS Gao, Ali Mamtimin, Yue Wang, Yonghui Wang, Haotong Liu, Meiqi Song, Adila Adurhman
article en

Abstract

Based on eddy covariance data collected during March to June 2021 in the Gurbantunggut Desert, this study analyzed desert methane (CH4) flux dynamics. Results show the following: (1) The desert functions as a weak methane sink from March to June in the growing season, with its CH4 flux showing a U-shaped diurnal variation pattern. The absorption peak occurred in June, reaching −79.1 mg·m−2·month−1. (2) Diurnally, CH4 flux correlated negatively with soil temperature (Tsoil), vapor pressure deficit, and photosynthetically active radiation (rTsoil = −0.58, rVPD = −0.49, rPAR = −0.49), positively with soil water content (SWC) and relative humidity (RH) (rRH = 0.53, rSWC = 0.28). (3) Fixed-effects regression isolated individual and interactive effects of SWC and Tsoil, yielding the model: CH4 = −0.002 − 0.017SWC − 0.00004Tsoil − 0.002(SWC × Tsoil). The model highlights CH4 flux sensitivity to hydrothermal factors and underscores the importance of their interaction for accurate flux estimation and understanding arid zone carbon cycle-climate feedbacks.

LandVol. 15(6)
Jiangnan University (CN), Xinjiang Normal University (CN), China Meteorological Administration (CN), Inner Mongolia Autonomous Region Meteorological Bureau (CN), Xinjiang Entry-Exit Inspection and Quarantine Bureau (CN)
National Natural Science Foundation of China, China Meteorological Administration, Chinese Academy of Meteorological Sciences
Climate action
Openalex Percentile: Top 8%
Atmospheric and Environmental Gas Dynamics
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