KASM-8: a Russian automated chamber system for high-frequency monitoring of greenhouse gas fluxes
A.A. Kulik1,2, S.A. Kurakov1, A.A. Sat1, E.A. Dyukarev1,2
1Institute of Monitoring of Climatic and Ecological Systems of the Siberian Branch of the Russian Academy of Sciences, Tomsk, Russia
2Federal State Educational Institution of Higher Professional Education "Ugra State University", Hanty-Mansijsk, Russia
Keywords: greenhouse gases, carbon balance, bog, carbon polygon, ridge-hollow complex, chamber measurements, Mukhrino, Vasyuganye, KASM-8
Abstract
The development of domestic greenhouse gas monitoring solutions is crucial for Russia, addressing needs in both import substitution and assessment of the carbon balance of its vast wetland ecosystems. This paper presents the Russian automated chamber system KASM-8 for long-term high-frequency measurement of carbon dioxide (CO2) and methane (CH4) fluxes. The design features of the system are described, as well as measurement and data processing technique, which includes automated outlier filtering and error estimation. Field testing was conducted in 2023-2024 at the “Mukhrino" carbon supersite (Khanty-Mansi Autonomous Okrug-Yugra) and the “Vasyuganye" research station (Tomsk Oblast) in ridge-hollow complexes of ombrotrophic bogs. The resulted data series (192 measurements per day) revealed fundamental differences in carbon exchange between microlandscape elements: in KhMAO-Yugra, hollows acted as a net CO2 sink (mean NEE ranged from -0.19 to -0.28 mmol × m-2 × s-1), whereas ridges were a net source (mean NEE was 0.17 mmol × m-2 × s-1). At the “Vasyuganye" station, hollows demonstrated lower CO2 uptake capacity, and ridges exhibited higher emission fluxes. The data also revealed pronounced daily and seasonal dynamics and interannual variability. The results confirm the operational reliability of the KASM-8 complex and can be used for assessing the carbon balance with allowance for spatial heterogeneity of bog microlandscapes in climate projects and for creating long-term monitoring systems.
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