Assessing methane emissions for northern peatlands in ORCHIDEE-PEAT revision 7020
Type
Journal article
Language
English
Date issued
2022
Author
Salmon, Elodie
Jégou, Fabrice
Guenet, Bertrand
Jourdain, Line
Qiu, Chunjing
Bastrikov, Vladislav
Guimbaud, Christophe
Zhu, Dan
Ciais, Philippe
Peylin, Philippe
Gogo, Sébastien
Laggoun-Défarge, Fatima
Aurela, Mika
Bret-Harte, M. Syndonia
Chen, Jiquan
Chu, Housen
Edgar, Colin W.
Euskirchen, Eugenie S.
Flanagan, Lawrence B.
Fortuniak, Krzysztof
Holl, David
Klatt, Janina
Kolle, Olaf
Kowalska, Natalia
Kutzbach, Lars
Lohila, Annalea
Merbold, Lutz
Pawlak, Włodzimierz
Sachs, Torsten
Faculty
Wydział Inżynierii Środowiska i Inżynierii Mechanicznej
Journal
Geoscientific Model Development
ISSN
1991-959X
Volume
15
Number
7
Pages from-to
2813-2838
Abstract (EN)
In the global methane budget, the largest natural source is attributed to wetlands, which encompass all ecosystems composed of waterlogged or inundated ground, capable of methane production. Among them, northern peatlands that store large amounts of soil organic carbon have been functioning, since the end of the last glaciation period, as long-term sources of methane (CH4) and are one of the most significant methane sources among wetlands. To reduce uncertainty of quantifying methane flux in the global methane budget, it is of significance to understand the underlying processes for methane production and fluxes in northern peatlands. A methane model that features methane production and transport by plants, ebullition process and diffusion in soil, oxidation to CO2, and CH4 fluxes to the atmosphere has been embedded in the ORCHIDEE-PEAT land surface model that includes an explicit representation of northern peatlands. ORCHIDEE-PCH4 was calibrated and evaluated on 14 peatland sites distributed on both the Eurasian and American continents in the northern boreal and temperate regions. Data assimilation approaches were employed to optimized parameters at each site and at all sites simultaneously. Results show that methanogenesis is sensitive to temperature and substrate availability over the top 75 cm of soil depth. Methane emissions estimated using single site optimization (SSO) of model parameters are underestimated by 9 g CH4 m−2 yr−1 on average (i.e., 50 % higher than the site average of yearly methane emissions). While using the multi-site optimization (MSO), methane emissions are overestimated by 5 g CH4 m−2 yr−1 on average across all investigated sites (i.e., 37 % lower than the site average of yearly methane emissions).
License
CC-BY - Attribution
Open access date
April 6, 2022