Environmental Dynamics and Global Climate Change, volume 15, issue 4, pages 276-288

Methane and carbon dioxide fluxes correlation according to automatic chamber observations at the Mukhrino bog ridge and hollow complex

Egor Dyukarev 1, 2, 3
Elena E Veretennikova 4
A F Sabrekov 5
Artem A. Kulik 2
Evgeny A. Zarov 2
4
 
Институт мониторинга климатических и экологических систем СО РАН, Сибирский государственный медицинский университет
Publication typeJournal Article
Publication date2024-12-31
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ISSN25419307, 22184422
Abstract

Aim: The paper presents the results of the study of the dynamics of methane and carbon dioxide fluxes for the ridge-hollow oligotrophic bog complex in the middle taiga subzone of Western Siberia. Correlations between carbon dioxide and methane fluxes were revealed and the influence of meteorological parameters on greenhouse gas fluxes was estimated. Methods: Greenhouse gas fluxes were measured using the KASM8 chamber automatic monitoring system with eight transparent chambers and LI-COR LI-7810 gas analyser to analyze CO₂, CH₄ and H₂O concentrations. Results: The mean values of CO2 and CH4 fluxes for the study period were obtained; differences in the functioning of the ridge and the hollow are shown: median values of CO2 fluxes indicate a greater uptake on the ridge (-74.4 mgCO2/m2/h) than on the hollow (-52.7 mgCO2/m2/h); methane fluxes on the ridge (0.08 mgCH4/m2/h) are on average 20 times lower than on the hollow (2.76 mgCH4/m2/h). Correlation of greenhouse gas fluxes with environmental factors were revealed: the highest correlations were found with the intensity of incoming solar (r = -0.84 ÷ -0.91) and photosynthetically active radiation (r = -0.85 ÷ -0.92), air temperature (r = -0.51 ÷ -0.63) and relative air humidity (r = +0.56 ÷ +0.62) and wind speed (r = +0.39 ÷ +0.50). Conclusions: Correlations between specific greenhouse gas fluxes were estimated based on spatial and temporal flux variability data. Correlations between greenhouse gas fluxes are different at night and daytime, which is directly related to external factors and principles of ecosystem functioning.

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