
Impact of hydrological variations on modeling of peatland CO 2 fluxes: Results from the North American Carbon Program site synthesis
Author(s) -
Sulman Benjamin N.,
Desai Ankur R.,
Schroeder Nicole M.,
Ricciuto Dan,
Barr Alan,
Richardson Andrew D.,
Flanagan Lawrence B.,
Lafleur Peter M.,
Tian Hanqin,
Chen Guangsheng,
Grant Robert F.,
Poulter Benjamin,
Verbeeck Hans,
Ciais Philippe,
Ringeval Bruno,
Baker Ian T.,
Schaefer Kevin,
Luo Yiqi,
Weng Ensheng
Publication year - 2012
Publication title -
journal of geophysical research: biogeosciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2011jg001862
Subject(s) - eddy covariance , bog , environmental science , peat , ecosystem respiration , water table , wetland , hydrology (agriculture) , carbon cycle , ecosystem , sphagnum , atmospheric sciences , ombrotrophic , ecology , groundwater , geology , biology , geotechnical engineering
Northern peatlands are likely to be important in future carbon cycle‐climate feedbacks due to their large carbon pools and vulnerability to hydrological change. Use of non‐peatland‐specific models could lead to bias in modeling studies of peatland‐rich regions. Here, seven ecosystem models were used to simulate CO 2 fluxes at three wetland sites in Canada and the northern United States, including two nutrient‐rich fens and one nutrient‐poor, sphagnum ‐dominated bog, over periods between 1999 and 2007. Models consistently overestimated mean annual gross ecosystem production (GEP) and ecosystem respiration (ER) at all three sites. Monthly flux residuals (simulated – observed) were correlated with measured water table for GEP and ER at the two fen sites, but were not consistently correlated with water table at the bog site. Models that inhibited soil respiration under saturated conditions had less mean bias than models that did not. Modeled diurnal cycles agreed well with eddy covariance measurements at fen sites, but overestimated fluxes at the bog site. Eddy covariance GEP and ER at fens were higher during dry periods than during wet periods, while models predicted either the opposite relationship or no significant difference. At the bog site, eddy covariance GEP did not depend on water table, while simulated GEP was higher during wet periods. Carbon cycle modeling in peatland‐rich regions could be improved by incorporating wetland‐specific hydrology and by inhibiting GEP and ER under saturated conditions. Bogs and fens likely require distinct plant and soil parameterizations in ecosystem models due to differences in nutrients, peat properties, and plant communities.