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Ueyama M, Knox SH, Delwiche KB, Bansal S, Riley WJ, Baldocchi D, Hirano T, McNicol G, Schafer K, Windham-Myers L, Poulter B, Jackson RB, Chang KY, Chen J, Chu H, Desai AR, Gogo S, Iwata H, Kang M, Mammarella I, Peichl M, Sonnentag O, Tuittila ES, Ryu Y, Euskirchen ES, Göckede M, Jacotot A, Nilsson MB, Sachs T. Modeled production, oxidation, and transport processes of wetland methane emissions in temperate, boreal, and Arctic regions. Glob Chang Biol 2023; 29:2313-2334. [PMID: 36630533 DOI: 10.1111/gcb.16594] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 12/14/2022] [Indexed: 05/28/2023]
Abstract
Wetlands are the largest natural source of methane (CH4 ) to the atmosphere. The eddy covariance method provides robust measurements of net ecosystem exchange of CH4 , but interpreting its spatiotemporal variations is challenging due to the co-occurrence of CH4 production, oxidation, and transport dynamics. Here, we estimate these three processes using a data-model fusion approach across 25 wetlands in temperate, boreal, and Arctic regions. Our data-constrained model-iPEACE-reasonably reproduced CH4 emissions at 19 of the 25 sites with normalized root mean square error of 0.59, correlation coefficient of 0.82, and normalized standard deviation of 0.87. Among the three processes, CH4 production appeared to be the most important process, followed by oxidation in explaining inter-site variations in CH4 emissions. Based on a sensitivity analysis, CH4 emissions were generally more sensitive to decreased water table than to increased gross primary productivity or soil temperature. For periods with leaf area index (LAI) of ≥20% of its annual peak, plant-mediated transport appeared to be the major pathway for CH4 transport. Contributions from ebullition and diffusion were relatively high during low LAI (<20%) periods. The lag time between CH4 production and CH4 emissions tended to be short in fen sites (3 ± 2 days) and long in bog sites (13 ± 10 days). Based on a principal component analysis, we found that parameters for CH4 production, plant-mediated transport, and diffusion through water explained 77% of the variance in the parameters across the 19 sites, highlighting the importance of these parameters for predicting wetland CH4 emissions across biomes. These processes and associated parameters for CH4 emissions among and within the wetlands provide useful insights for interpreting observed net CH4 fluxes, estimating sensitivities to biophysical variables, and modeling global CH4 fluxes.
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Grants
- JPMXD1420318865 Arctic Challenge for Sustainability II
- 1936752 Arctic Observatory Program of the National Science Foundation
- 1503912 Arctic Observatory Program of the National Science Foundation
- 1107892 Arctic Observatory Program of the National Science Foundation
- NSF DEB-1026415 Bonanza Creek Long-Term Ecological Research Program funded by the National Science Foundation
- DEB-1636476 Bonanza Creek Long-Term Ecological Research Program funded by the National Science Foundation
- California Department of Water Resources, CA Fish and Wildlife
- Canada Research Chairs, Canada Foundation for Innovation Leaders Opportunity Fund
- 3119871 ICOS-Finland
- 20K21849 JSPS KAKENHI
- 2022003640002 Ministry of Environment of Korea
- Natural Sciences and Engineering Research Council Discovery Grant Programs
- NSF LTREB 2011276 NSF Long-Term Research in Environmental Biology Program
- Reducing Uncertainties in Biogeochemical Interactions through Synthesis and Computation (RUBISCO) Scientific Focus Area, Office of Biological and Environmental Research of the U.S. Department of Energy Office of Science
- PJ014892022022 Rural Development Administration
- SNO Tourbières, CNRS-INSU
- DE-AC02-05CH11231 U.S. Department of Energy
- U.S. Geological Survey, Ecosystems Mission Area, Land Change Science Program
- 7544821 US DOE Ameriflux
- Order 224 US Geological Survey, Research Work
- VH-NG-821 Helmholtz Association of German Research Centres
- 341348 Academy of Finland project N-PERM
- 101056921 Horizon Europe project GreenFeedBack
- U.S. Geological Survey, John Wesley Powell Center for Analysis and Synthesis
- U.S. Geological Survey, Water Mission Area, Earth Systems Processes Division
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Affiliation(s)
- Masahito Ueyama
- Graduate School of Agriculture, Osaka Metropolitan University, Sakai, Japan
| | - Sara H Knox
- Department of Geography, The University of British Columbia, Vancouver, Canada
| | - Kyle B Delwiche
- Department of Environmental Science, Policy & Management, UC Berkeley, Berkeley, California, USA
| | - Sheel Bansal
- U.S. Geological Survey, Northern Prairie Wildlife Research Center, Jamestown, North Dakota, USA
| | - William J Riley
- Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Dennis Baldocchi
- Department of Environmental Science, Policy & Management, UC Berkeley, Berkeley, California, USA
| | - Takashi Hirano
- Research Faculty of Agriculture, Hokkaido University, Sapporo, Japan
| | - Gavin McNicol
- Department of Earth and Environmental Sciences, University of Illinois Chicago, Chicago, Illinois, USA
| | - Karina Schafer
- Department of Earth and Env Science, Rutgers University Newark, Newark, New Jersey, USA
| | | | - Benjamin Poulter
- NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, Maryland, USA
| | - Robert B Jackson
- Department of Earth System Science, Stanford University, Stanford, California, USA
| | - Kuang-Yu Chang
- Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Jiquen Chen
- Department of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, Michigan, USA
| | - Housen Chu
- Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA
| | - Ankur R Desai
- Dept of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Sébastien Gogo
- ECOBIO (Écosystèmes, Biodiversité, Évolution), Université Rennes 1, CNRS UMR 6553, Rennes, France
| | - Hiroki Iwata
- Department of Environmental Science, Faculty of Science, Shinshu University, Matsumoto, Japan
| | - Minseok Kang
- National Center for Agro Meteorology, Seoul, South Korea
| | - Ivan Mammarella
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
| | - Matthias Peichl
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - Oliver Sonnentag
- Université de Montréal, Département de géographie, Université de Montréal, Montréal, Quebec, Canada
| | | | - Youngryel Ryu
- Department of Landscape Architecture and Rural Systems Engineering, Seoul National University, Seoul, South Korea
| | - Eugénie S Euskirchen
- University of Alaska Fairbanks, Institute of Arctic Biology, Fairbanks, Alaska, USA
| | - Mathias Göckede
- Max Planck Institute for Biogeochemistry, Department of Biogeochemical Signals, Jena, Germany
| | | | - Mats B Nilsson
- Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden
| | - Torsten Sachs
- GFZ German Research Centre for Geosciences, Telegrafenberg, Potsdam, Germany
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