This presentation focuses on the alpine peatland "le Viote" (46.01 N, 11.04 E, 1560 m asl), located at the centre of a plateau in the Mt. Bondone area, in the eastern Italian Alps (Figure), where the fluxes of methane (CH4) and carbon dioxide (CO2) between the peatland ecosystem and the atmosphere have been measured by chamber technique since summer 2024. The objectives of the current research activities are to analyse the spatial and temporal variability of both GHGs with special attention to CH4 fluxes, considering the response to climatic drivers, the influence of peatland vegetation community types, hydrology and natural and anthropogenic disturbances history. These activities build on 10+ years of CO2 fluxes monitoring by eddy covariance and a more limited dataset of CH4 fluxes, providing a temporal background for detecting flux magnitude changes.
Rubriante, L.; Gianelle, D.; Papale, D.; Belelli Marchesini, L. (2024). Monitoring of GHGs flux dynamics at the "Viote" mountain peatland (Eastern Alps, Italy) under climate change pressure. In: Peatlands and Ecosystem Functions, Freising (Germany), 18-21 September 2024. handle: https://hdl.handle.net/10449/88283
Monitoring of GHGs flux dynamics at the "Viote" mountain peatland (Eastern Alps, Italy) under climate change pressure
Rubriante, L.
Primo
;Gianelle, D.;Belelli Marchesini, L.Ultimo
2024-01-01
Abstract
This presentation focuses on the alpine peatland "le Viote" (46.01 N, 11.04 E, 1560 m asl), located at the centre of a plateau in the Mt. Bondone area, in the eastern Italian Alps (Figure), where the fluxes of methane (CH4) and carbon dioxide (CO2) between the peatland ecosystem and the atmosphere have been measured by chamber technique since summer 2024. The objectives of the current research activities are to analyse the spatial and temporal variability of both GHGs with special attention to CH4 fluxes, considering the response to climatic drivers, the influence of peatland vegetation community types, hydrology and natural and anthropogenic disturbances history. These activities build on 10+ years of CO2 fluxes monitoring by eddy covariance and a more limited dataset of CH4 fluxes, providing a temporal background for detecting flux magnitude changes.File | Dimensione | Formato | |
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