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Degradation legacy and current water levels as predictors of carbon emissions from two fen sites.

Authors :
Emsens, Willem-Jan
Verbruggen, Erik
Shenk, Peter
Liczner, Yvonne
van Roie, Martijn
van Diggelen, Rudy
Source :
Mires & Peat; 2021, Issue 27, p1-15, 15p
Publication Year :
2021

Abstract

Drainage-induced shifts in physicochemical peat properties are irreversible on a decadal time span. We investigated whether carbon emissions from fen peat can be estimated using two proxies: current water levels and peat properties (as affected by drainage history, i.e. degradation legacy). We collected bare peat monoliths from a long-term drained and an undrained fen. In a crossed design, half of the monoliths was kept wet and the other half was drained. Highest carbon dioxide (CO<subscript>2</subscript>) emissions came from the originally undrained peat under low water levels (607 mmol m<superscript>-2</superscript> d<superscript>-1</superscript>). Overall, CO<subscript>2</subscript> emissions were primarily determined by drainage history, with 141 % higher emissions from the originally undrained peat. In addition, low current water levels correlated with 42 % higher emissions. Highest methane (CH4) emissions were measured in the originally undrained peat under high water levels (123 mmol m<superscript>-2</superscript> d<superscript>-1</superscript>). Overall, CH4 emissions were primarily determined by current water levels, with 430 % higher emissions under high water levels. In addition, the originally undrained peat had 180 % higher emissions. The lower C efflux from originally drained peat correlated with lower concentrations of methanogens and of easily-degradable carbon substrate (cellulose). We conclude that substrate limitation in long-term drained fens ensures low baseline carbon emissions, which provides opportunities for renewed carbon sequestration by rewetting. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1819754X
Issue :
27
Database :
Supplemental Index
Journal :
Mires & Peat
Publication Type :
Academic Journal
Accession number :
153348311
Full Text :
https://doi.org/10.19189/MaP.2020.SNPG.StA.2149