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The effects of peat thickness and water table depth on CO$_2$ and N$_2$O emissions from agricultural peatlands – a process-based modelling approach

Kajasilta, Henri ; Gerin, Stephanie; Niiranen, Milla; Lapikivi, Miika; Läpikivi, Miika; Liimatainen, Maarit; Kraus, David ORCID iD icon 1; Vekuri, Henriikka; Korkiakoski, Mika; Kulmala, Liisa; Liski, Jari
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)

Abstract:

Peatlands are critical carbon (C) reservoirs, storing over a fifth of the global soil organic C stock. However, some peatlands are drained and cultivated for agricultural use, which makes them a significant source of greenhouse gas (GHG) emissions. Managing water table depth (WTD) is considered a key operation for mitigating GHG emissions in cultivated peatlands. Modelling the impacts of water management would be a cost-efficient way of studying its large-scale effects, both in the present and in the future. Here, we used the process-based model LandscapeDNDC (LDNDC) to assess the relationships between WTD, peat layer thickness and the GHG exchange. We simulated a boreal agricultural peatland (NorPeat, Finland), which was cultivated with silage grass and barley during the study years 2019–2022. The site was monitored with an eddy covariance (EC) tower, and divided into six drainage blocks with distinct peat profiles, each equipped with sensors for continuous water table measurements. The model performance was evaluated on a daily and seasonal level using EC measurements of carbon dioxide (CO$_2$), nitrous oxide (N$_2$O) and water fluxes for the study years, alongside with satellite retrievals of the leaf area index and three-year data from block-specific dark chamber flux measurements of CO$_2$ and N$_2$O. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000193720
Veröffentlicht am 01.06.2026
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung (IMK)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 1726-4170, 1726-4189
KITopen-ID: 1000193720
Erschienen in Biogeosciences
Verlag Copernicus Publications
Band 23
Heft 10
Seiten 3567–3590
Vorab online veröffentlicht am 22.05.2026
Nachgewiesen in Scopus
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