Articles | Volume 12, issue 21
https://doi.org/10.5194/bg-12-6259-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-12-6259-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
02 Nov 2015
Research article |
| 02 Nov 2015
Model estimates of climate controls on pan-Arctic wetland methane emissions
Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, USA
T. J. Bohn
CORRESPONDING AUTHOR
School of Earth and Space Exploration, Arizona State University, Tempe, AZ, USA
D. P. Lettenmaier
Department of Geography, University of California, Los Angeles, CA, USA
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Cited
21 citations as recorded by crossref.
- Scaling waterbody carbon dioxide and methane fluxes in the arctic using an integrated terrestrial-aquatic approach S. Ludwig et al. https://doi.org/10.1088/1748-9326/acd467
- The impact of permafrost on carbon dioxide and methane fluxes in Siberia: A meta-analysis O. Masyagina & O. Menyailo https://doi.org/10.1016/j.envres.2019.109096
- Year-round simulated methane emissions from a permafrost ecosystem in Northeast Siberia K. Castro-Morales et al. https://doi.org/10.5194/bg-15-2691-2018
- Using Machine Learning to Predict Inland Aquatic CO2 and CH4 Concentrations and the Effects of Wildfires in the Yukon‐Kuskokwim Delta, Alaska S. Ludwig et al. https://doi.org/10.1029/2021GB007146
- Recent increases in annual, seasonal, and extreme methane fluxes driven by changes in climate and vegetation in boreal and temperate wetland ecosystems S. Feron et al. https://doi.org/10.1111/gcb.17131
- Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations O. Peltola et al. https://doi.org/10.5194/essd-11-1263-2019
- Methane Content and Emission in the Permafrost Landscapes of Western Yamal, Russian Arctic G. Oblogov et al. https://doi.org/10.3390/geosciences10100412
- Methane emissions from Arctic landscapes during 2000–2015: an analysis with land and lake biogeochemistry models X. Liu & Q. Zhuang https://doi.org/10.5194/bg-20-1181-2023
- Progress in space-borne studies of permafrost for climate science: Towards a multi-ECV approach A. Trofaier et al. https://doi.org/10.1016/j.rse.2017.05.021
- Estimating methane emissions in the Arctic nations using surface observations from 2008 to 2019 S. Wittig et al. https://doi.org/10.5194/acp-23-6457-2023
- Unique genes carried by abundant species enhance CH4 emissions during the growing season at the Tibetan Plateau Y. Liang et al. https://doi.org/10.1007/s42832-023-0202-6
- Variability in the sensitivity among model simulations of permafrost and carbon dynamics in the permafrost region between 1960 and 2009 A. McGuire et al. https://doi.org/10.1002/2016GB005405
- Satellite Constraints on the Latitudinal Distribution and Temperature Sensitivity of Wetland Methane Emissions S. Ma et al. https://doi.org/10.1029/2021AV000408
- Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties Z. Zhang et al. https://doi.org/10.5194/bg-13-1387-2016
- Assessing methane emissions for northern peatlands in ORCHIDEE-PEAT revision 7020 E. Salmon et al. https://doi.org/10.5194/gmd-15-2813-2022
- Permafrost response to vegetation greenness variation in the Arctic tundra through positive feedback in surface air temperature and snow cover Z. Wang et al. https://doi.org/10.1088/1748-9326/ab0839
- Interaction between Soil Moisture and Air Temperature in the Mississippi River Basin C. Tang & D. Chen https://doi.org/10.4236/jwarp.2017.910073
- Review of methane emission source tracing methods in oilfield regions Y. Liu et al. https://doi.org/10.1016/j.jgsce.2025.205708
- Measurement of the 13C isotopic signature of methane emissions from northern European wetlands R. Fisher et al. https://doi.org/10.1002/2016GB005504
- Methane emission from pan-Arctic natural wetlands estimated using a process-based model, 1901–2016 A. Ito https://doi.org/10.1016/j.polar.2018.12.001
- Upscaling Wetland Methane Emissions From the FLUXNET‐CH4 Eddy Covariance Network (UpCH4 v1.0): Model Development, Network Assessment, and Budget Comparison G. McNicol et al. https://doi.org/10.1029/2023AV000956
21 citations as recorded by crossref.
- Scaling waterbody carbon dioxide and methane fluxes in the arctic using an integrated terrestrial-aquatic approach S. Ludwig et al. https://doi.org/10.1088/1748-9326/acd467
- The impact of permafrost on carbon dioxide and methane fluxes in Siberia: A meta-analysis O. Masyagina & O. Menyailo https://doi.org/10.1016/j.envres.2019.109096
- Year-round simulated methane emissions from a permafrost ecosystem in Northeast Siberia K. Castro-Morales et al. https://doi.org/10.5194/bg-15-2691-2018
- Using Machine Learning to Predict Inland Aquatic CO2 and CH4 Concentrations and the Effects of Wildfires in the Yukon‐Kuskokwim Delta, Alaska S. Ludwig et al. https://doi.org/10.1029/2021GB007146
- Recent increases in annual, seasonal, and extreme methane fluxes driven by changes in climate and vegetation in boreal and temperate wetland ecosystems S. Feron et al. https://doi.org/10.1111/gcb.17131
- Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations O. Peltola et al. https://doi.org/10.5194/essd-11-1263-2019
- Methane Content and Emission in the Permafrost Landscapes of Western Yamal, Russian Arctic G. Oblogov et al. https://doi.org/10.3390/geosciences10100412
- Methane emissions from Arctic landscapes during 2000–2015: an analysis with land and lake biogeochemistry models X. Liu & Q. Zhuang https://doi.org/10.5194/bg-20-1181-2023
- Progress in space-borne studies of permafrost for climate science: Towards a multi-ECV approach A. Trofaier et al. https://doi.org/10.1016/j.rse.2017.05.021
- Estimating methane emissions in the Arctic nations using surface observations from 2008 to 2019 S. Wittig et al. https://doi.org/10.5194/acp-23-6457-2023
- Unique genes carried by abundant species enhance CH4 emissions during the growing season at the Tibetan Plateau Y. Liang et al. https://doi.org/10.1007/s42832-023-0202-6
- Variability in the sensitivity among model simulations of permafrost and carbon dynamics in the permafrost region between 1960 and 2009 A. McGuire et al. https://doi.org/10.1002/2016GB005405
- Satellite Constraints on the Latitudinal Distribution and Temperature Sensitivity of Wetland Methane Emissions S. Ma et al. https://doi.org/10.1029/2021AV000408
- Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties Z. Zhang et al. https://doi.org/10.5194/bg-13-1387-2016
- Assessing methane emissions for northern peatlands in ORCHIDEE-PEAT revision 7020 E. Salmon et al. https://doi.org/10.5194/gmd-15-2813-2022
- Permafrost response to vegetation greenness variation in the Arctic tundra through positive feedback in surface air temperature and snow cover Z. Wang et al. https://doi.org/10.1088/1748-9326/ab0839
- Interaction between Soil Moisture and Air Temperature in the Mississippi River Basin C. Tang & D. Chen https://doi.org/10.4236/jwarp.2017.910073
- Review of methane emission source tracing methods in oilfield regions Y. Liu et al. https://doi.org/10.1016/j.jgsce.2025.205708
- Measurement of the 13C isotopic signature of methane emissions from northern European wetlands R. Fisher et al. https://doi.org/10.1002/2016GB005504
- Methane emission from pan-Arctic natural wetlands estimated using a process-based model, 1901–2016 A. Ito https://doi.org/10.1016/j.polar.2018.12.001
- Upscaling Wetland Methane Emissions From the FLUXNET‐CH4 Eddy Covariance Network (UpCH4 v1.0): Model Development, Network Assessment, and Budget Comparison G. McNicol et al. https://doi.org/10.1029/2023AV000956
Saved (final revised paper)
Latest update: 14 Nov 2026
Short summary
We used a process-based model to investigate the sensitivities of pan-Arctic wetland methane emissions to climate factors, as a function of climate. Over the period 1960-2006, temperature was the dominant driver of trends in emissions. Wetlands north of 60N were temperature-limited, and wetlands south of 60N latitude were water-limited. Projected future warming will cause water-limited wetlands to expand northward over the next century, lessening the role of temperature in the future.
We used a process-based model to investigate the sensitivities of pan-Arctic wetland methane...
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