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dc.contributor.author Sulman, Benjamin N.
dc.contributor.author Desai, Ankur R.
dc.contributor.author Schroeder, Nicole M.
dc.contributor.author Ricciuto, Daniel M.
dc.contributor.author Barr, Alan G.
dc.contributor.author Richardson, Andrew D.
dc.contributor.author Flanagan, Larry B.
dc.contributor.author Lafleur, Peter M.
dc.contributor.author Tian, Hanqin
dc.contributor.author Chen, Guangsheng
dc.contributor.author Grant, Robert F.
dc.contributor.author Poulter, Benjamin
dc.contributor.author Verbeeck, Hans
dc.contributor.author Ciais, Philippe
dc.contributor.author Ringeval, Bruno
dc.contributor.author Baker, Ian T.
dc.contributor.author Schaefer, Kevin
dc.contributor.author Luo, Yiqi
dc.contributor.author Wong, Ensheng
dc.date.accessioned 2019-08-27T19:34:23Z
dc.date.available 2019-08-27T19:34:23Z
dc.date.issued 2012
dc.identifier.citation Sulman, B. N., Desai, A. R., Schroeder, N. M., Ricciuto, D., Barr, A., Richardson, A. D.,...Weng, E. (2012). Impact of hydrological variations on modeling of peatland CO2 fluxes: Results from the North American Carbon Program site synthesis. Journal of Geophysical Research (Biogeosciences), 117, G01031. doi:10.1029/2011JG001862, 2012 en_US
dc.identifier.uri https://hdl.handle.net/10133/5524
dc.description Sherpa Romeo green journal. Permission to archive final published version en_US
dc.description.abstract 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 CO2 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. en_US
dc.language.iso en_US en_US
dc.publisher American Geophysical Union en_US
dc.subject CO2 fluxes en_US
dc.subject North American Carbon Program en_US
dc.subject Ecosystem models en_US
dc.subject Eddy covariance en_US
dc.subject Hydrology en_US
dc.subject Peatlands en_US
dc.subject.lcsh Bog ecology
dc.subject.lcsh Fen ecology
dc.subject.lcsh Peatland ecology
dc.subject.lcsh Evapotranspiration
dc.title Impact of hydrological variations on modeling of peatland CO2 fluxes: results from the North American Carbon Program site synthesis en_US
dc.type Article en_US
dc.publisher.faculty Arts and Science en_US
dc.publisher.department Department of Biological Sciences en_US
dc.description.peer-review Yes en_US
dc.publisher.institution University of Wisconsin-Madison en_US
dc.publisher.institution Oak Ridge National Laboratory en_US
dc.publisher.institution Environment Canada en_US
dc.publisher.institution Harvard University en_US
dc.publisher.institution University of Lethbridge en_US
dc.publisher.institution Trent University en_US
dc.publisher.institution Auburn University en_US
dc.publisher.institution University of Alberta en_US
dc.publisher.institution Swiss Federal Research Institute en_US
dc.publisher.institution Laboratoire des Sciences du Climat et de l'Environment en_US
dc.publisher.institution Ghent University en_US
dc.publisher.institution Colorado State University en_US
dc.publisher.institution University of Colorado at Boulder en_US
dc.publisher.institution University of Oklahoma en_US
dc.publisher.url https://dx.doi.org/10.1029/2011JG001862


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