Volume 27 (2021) Article 14
Degradation legacy and current water levels as predictors of carbon emissions from two fen sites
by W.-J. Emsens, E. Verbruggen, P. Shenk, Y. Liczner, M. van Roie, R. van Diggelen
Published online: 21.05.2021
Summary
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 (CO2) emissions came from the originally undrained peat under low water levels (607 mmol m-2 d-1). Overall, CO2 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-2 d-1). 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.
Citation
Emsens, W.-J., Verbruggen, E., Shenk, P., Liczner, Y., van Roie, M., van Diggelen, R. (2021) Degradation legacy and current water levels as predictors of carbon emissions from two fen sites. Mires and Peat, 27, 14, 15pp. (Online: http://www.mires-and-peat.net/pages/volumes/map27/map2714.php); doi:
10.19189/MaP.2020.SNPG.StA.2149
Reviewers
IMCG and IPS
acknowledge the work of the reviewers. |