Abstract
With the objective to characterize CO2 dynamics from soil to streams, and to identify relevant influential factors along with temporal evolution patterns, this study established a high-frequency CO2 concentration monitoring transect with four measuring points in a stream and adjacent soil located in the upper reach of the Hailiutu River Basin in Yulin city, Shannxi province. With the spectrum and wavelet analysis, strong diurnal signals with periods of 0.5 and 1d frequencies are identified based on the CO2 concentration time series, indicating that the diurnal stream metabolism plays a key role in regulating in-stream CO2 dynamics. Additionally, variations in hydrological events, i.e. precipitation in the catchment, may lead to prominent changes in CO2 evasion, which has a significant impact on the carbon cycling between stream and soil. Bivariate wavelet coherence analysis reveals that temperature and soil water content directly control stream and soil CO2 dynamics, and confirms that soil-stored CO2 is the main source of the stream CO2 evasion. Further, the results indicate that groundwater is an important pathway for carbon transport from soil to streams.
Translated title of the contribution | Variation characteristics and correlation of soil and stream carbon dioxide concentrations in a headwater catchment |
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Original language | Chinese (Traditional) |
Pages (from-to) | 6667-6676 |
Number of pages | 10 |
Journal | Zhongguo Huanjing Kexue/China Environmental Science |
Volume | 43 |
Issue number | 12 |
Publication status | Published - 15 May 2023 |
Keywords
- carbon cycle
- carbon dioxide
- coherence
- groundwater
- headwater streams
- soil
- spectrum analysis
- wavelet analysis