Abstract
Methane emissions from the boreal-Arctic region are likely to increase due to warming and permafrost thaw, but the magnitude of increase is unconstrained. Here we show that distinguishing several wetland and lake classes improves our understanding of current and future methane emissions. Our estimate of net annual methane emission (1988–2019) was 34 (95% CI: 25–43) Tg CH4 yr−1, dominated by five wetland (26 Tg CH4 yr−1) and seven lake (5.7 Tg CH4 yr−1) classes. Our estimate was lower than previous estimates due to explicit characterization of low methane-emitting wetland and lake classes, for example, permafrost bogs, bogs, large lakes and glacial lakes. To reduce uncertainty further, improved wetland maps and further measurements of wetland winter emissions and lake ebullition are needed. Methane emissions were estimated to increase by ~31% under a moderate warming scenario (SSP2-4.5 by 2100), driven primarily by warming rather than permafrost thaw.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$32.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to the full article PDF.
USD 39.95
Prices may be subject to local taxes which are calculated during checkout



Similar content being viewed by others
Data availability
Gridded maps of annual methane emissions from the boreal-Arctic region produced from this study are available at https://doi.org/10.5281/zenodo.14991411 (ref. 58). The BAWLD-CH4 flux dataset is available for download from the Arctic Data Center via https://doi.org/10.18739/A27H1DN5S (ref. 59). The companion BAWLD land-cover spatial dataset is also available at the Arctic Data Center via https://doi.org/10.18739/A2C824F9X (ref. 60). UpCH4 emissions and WAD2m wetland products are available via DOE ORNL DAAC (UpCH4, https://doi.org/10.3334/ORNLDAAC/2253; ref. 61) and Zenodo (WAD2M, https://doi.org/10.5281/zenodo.5553187; ref. 62). Emissions products from Peltola and colleagues47 (RF-PEATMAP, RF-GLWD) are available from https://doi.org/10.5281/zenodo.2560163 (ref. 63). CarbonTracker CT-CH4-2023 results are provided by NOAA GML via https://gml.noaa.gov/ccgg/carbontracker-ch4/. The GCP-BU product is available on reasonable request from Z.Z. (yuisheng@gmail.com). CMIP6 future temperature scenarios can be downloaded from https://www.worldclim.org/. Background political boundaries used in maps are from ref. 64.
Code availability
Code to calculate annual emissions can be found at https://doi.org/10.5281/zenodo.15636336 (ref. 65) and https://github.com/kenziekuhn4/bawldCH4_scaling (ref. 66).
References
Zhang, Z. et al. Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M). Earth Syst. Sci. Data 13, 2001–2023 (2021).
Feng, M., Sexton, J. O., Channan, S. & Townshend, J. R. A global, high-resolution (30-m) inland water body dataset for 2000: first results of a topographic–spectral classification algorithm. Int. J. Digital Earth 9, 113–133 (2016).
Saunois, M. et al. The global methane budget 2000–2017. Earth Syst. Sci. Data 12, 1561–1623 (2020).
Svensson, B. H., Veum, A. K. & Kjelvik, S. in Fennoscandian Tundra Ecosystems: Part 1 Plants and Microorganisms (ed. Wielgolaski, F. E.) 279–286 (Springer, 1975).
Kuhn, M. et al. BAWLD-CH 4: a comprehensive dataset of methane fluxes from boreal and Arctic ecosystems. Earth Syst. Sci. Data 13, 5151–5189 (2021).
Thornton, B. F., Wik, M. & Crill, P. M. Double‐counting challenges the accuracy of high‐latitude methane inventories. Geophys. Res. Lett. 43, 12,569–12,577 (2016).
McNicol, G. et al. Upscaling wetland methane emissions from the FLUXNET‐CH4 eddy covariance network (UpCH4 v1.0): model development, network assessment, and budget comparison. AGU Adv. 4, e2023AV000956 (2023).
Watts, J. D., Kimball, J. S., Bartsch, A. & McDonald, K. C. Surface water inundation in the boreal-Arctic: potential impacts on regional methane emissions. Environ. Res. Lett. 9, 075001 (2014).
Johnson, M. S., Matthews, E., Du, J., Genovese, V. & Bastviken, D. Methane emission from global lakes: new spatiotemporal data and observation-driven modeling of methane dynamics indicates lower emissions. J. Geophys. Res. Biogeosci. 127, e2022JG006793 (2022).
Walter Anthony, K. M. et al. Estimating methane emissions from northern lakes using ice-bubble surveys. Limnol. Oceanogr. Methods 8, 592–609 (2010).
Oh, Y. et al. CarbonTracker CH4 2023 (NOAA Global Monitoring Laboratory, 2023); https://doi.org/10.25925/40JT-QD67
Thompson, R. L. et al. Methane fluxes in the high northern latitudes for 2005–2013 estimated using a Bayesian atmospheric inversion. Atmos. Chem. Phys. 17, 3553–3572 (2017).
Webb, E. E. et al. Permafrost thaw drives surface water decline across lake-rich regions of the Arctic. Nat. Clim. Change 12, 841–846 (2022).
Turetsky, M. R. et al. Carbon release through abrupt permafrost thaw. Nat. Geosci. 13, 138–143 (2020).
Olefeldt, D. et al. The Boreal-Arctic Wetland and Lake Dataset (BAWLD). Earth Syst. Sci. Data 13, 5127–5149 (2021).
Treat, C. C., Bloom, A. A. & Marushchak, M. E. Nongrowing season methane emissions: a significant component of annual emissions across northern ecosystems. Glob. Chang. Biol. 24, 3331–3343 (2018).
Sieczko, A. K. et al. Diel variability of methane emissions from lakes. Proc. Natl Acad. Sci. USA 117, 21488–21494 (2020).
Wik, M., Varner, R. K., Anthony, K. W., MacIntyre, S. & Bastviken, D. Climate-sensitive northern lakes and ponds are critical components of methane release. Nat. Geosci. 9, 99–105 (2016).
Vonk, J. E. et al. High biolability of ancient permafrost carbon upon thaw. Geophys. Res. Lett. 40, 2689–2693 (2013).
Walter Anthony, K. et al. 21st-Century modeled permafrost carbon emissions accelerated by abrupt thaw beneath lakes. Nat. Commun. 9, 3262 (2018).
Bartsch, A. et al. Circumarctic land cover diversity considering wetness gradients. Hydrol. Earth Syst. Sci. 28, 2421–2481 (2024).
Kyzivat, E. D. & Smith, L. C. Contemporary and historical detection of small lakes using super resolution Landsat imagery: promise and peril. GISci. Remote Sens. https://doi.org/10.1080/15481603.2023.2207288 (2023).
Rocher-Ros, G. et al. Global methane emissions from rivers and streams. Nature 621, 530–535 (2023).
Voigt, C. et al. Arctic soil methane sink increases with drier conditions and higher ecosystem respiration. Nat. Clim. Change 13, 1095–1104 (2023).
Lee, J. et al. Soil organic carbon is a key determinant of CH4 sink in global forest soils. Nat. Commun. 14, 3110 (2023).
Matthews, E., Johnson, M. S., Genovese, V., Du, J. & Bastviken, D. Methane emission from high latitude lakes: methane-centric lake classification and satellite-driven annual cycle of emissions. Sci. Rep. 10, 12465 (2020).
Chasmer, L. & Hopkinson, C. Threshold loss of discontinuous permafrost and landscape evolution. Glob. Chang. Biol. 23, 2672–2686 (2017).
Mamet, S. D., Chun, K. P., Kershaw, G. G. L., Loranty, M. M. & Peter Kershaw, G. Recent increases in permafrost thaw rates and areal loss of palsas in the western Northwest Territories, Canada: non-linear palsa degradation. Permafr. Periglac. Process. 28, 619–633 (2017).
Borge, A. F., Westermann, S., Solheim, I. & Etzelmüller, B. Strong degradation of palsas and peat plateaus in northern Norway during the last 60 years. Cryosphere 11, 1–16 (2017).
Bao, T., Jia, G. & Xu, X. Weakening greenhouse gas sink of pristine wetlands under warming. Nat. Clim. Change 13, 462–469 (2023).
Dorrepaal, E., Aerts, R., Cornelissen, J. H. C., Callaghan, T. V. & Van Logtestijn, R. S. P. Summer warming and increased winter snow cover affect Sphagnum fuscum growth, structure and production in a sub‐Arctic bog. Glob. Chang. Biol. 10, 93–104 (2004).
Norby, R. J., Childs, J., Hanson, P. J. & Warren, J. M. Rapid loss of an ecosystem engineer: Sphagnum decline in an experimentally warmed bog. Ecol. Evol. 9, 12571–12585 (2019).
Lupascu, M. et al. High Arctic wetting reduces permafrost carbon feedbacks to climate warming. Nat. Clim. Change 4, 51–55 (2014).
de Vrese, P. et al. Sensitivity of Arctic CH4 emissions to landscape wetness diminished by atmospheric feedbacks. Nat. Clim. Change 13, 832–839 (2023).
Zhang, Z. et al. Emerging role of wetland methane emissions in driving 21st century climate change. Proc. Natl. Acad. Sci. USA 114, 9647–9652 (2017).
Yuan, K. et al. Arctic–boreal wetland methane emissions modulated by warming and vegetation activity. Nat. Clim. Change 14, 282–288 (2024).
Bartsch, A. et al. Circumarctic land-cover diversity considering wetness gradients. EGUsphere 2023, 2421–2481 (2023).
Oh, Y. et al. Reduced net methane emissions due to microbial methane oxidation in a warmer Arctic. Nat. Clim. Chang. 10, 317–321 (2020).
Bates, D., Mächler, M., Bolker, B. & Walker, S. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67, 1–48 (2015).
Fick, S. E. & Hijmans, R. J. WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37, 4302–4315 (2017).
Olefeldt, D., Turetsky, M. R., Crill, P. M. & McGuire, A. D. Environmental and physical controls on northern terrestrial methane emissions across permafrost zones. Glob. Change Biol. 19, 589–603 (2013).
Turetsky, M. R. et al. A synthesis of methane emissions from 71 northern, temperate, and subtropical wetlands. Glob. Change Biol. 20, 2183–2197 (2014).
Weyhenmeyer, G. A. et al. Large geographical differences in the sensitivity of ice-covered lakes and rivers in the Northern Hemisphere to temperature changes. Glob. Change Biol. 17, 268–275 (2011).
DelSontro, T., Boutet, L., St-Pierre, A., del Giorgio, P. A. & Prairie, Y. T. Methane ebullition and diffusion from northern ponds and lakes regulated by the interaction between temperature and system productivity. Limnol. Oceanogr. 61, S62–S77 (2016).
Stanley, E. H. et al. GRiMeDB: the global river database of methane concentrations and fluxes. Earth Syst. Sci. Data Discuss. 15, 2879–2926 (2022).
Dieleman, C. M. et al. Wildfire combustion and carbon stocks in the southern Canadian boreal forest: Implications for a warming world. Glob. Chang. Biol. 26, 6062–6079 (2020).
Peltola, O. et al. Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations. Earth Syst. Sci. Data 1263–1289 (2019).
Liu, L. et al. Uncertainty quantification of global net methane emissions from terrestrial ecosystems using a mechanistically based biogeochemistry model. J. Geophys. Res. Biogeosci. 125, e2019JG005428 (2020).
Matthews, E. & Fung, I. Methane emission from natural wetlands: global distribution, area, and environmental characteristics of sources. Global Biogeochem. Cycles 1, 61–86 (1987).
Olefeldt, D. et al. Circumpolar distribution and carbon storage of thermokarst landscapes. Nat. Commun. 7, 13043 (2016).
Quinton, W. L., Hayashi, M. & Chasmer, L. E. Permafrost-thaw-induced land-cover change in the Canadian subarctic: implications for water resources. Hydrol. Process. 25, 152–158 (2011).
Karlsson, J. M., Lyon, S. W. & Destouni, G. Temporal behavior of lake size-distribution in a thawing permafrost landscape in northwestern Siberia. Remote Sensing 6, 621–636 (2014).
Nitze, I. et al. Landsat-based trend analysis of lake dynamics across northern permafrost regions. Remote Sens. 9, 640 (2017).
Olthof, I., Fraser, R. H., van der Sluijs, J. & Travers-Smith, H. Detecting long-term Arctic surface water changes. Nat. Clim. Change 13, 1191–1193 (2023).
Leppiniemi, O., Karjalainen, O., Aalto, J., Luoto, M. & Hjort, J. Environmental spaces for palsas and peat plateaus are disappearing at a circumpolar scale. Cryosphere 17, 3157–3176 (2023).
Liljedahl, A. K. et al. Pan-Arctic ice-wedge degradation in warming permafrost and its influence on tundra hydrology. Nat. Geosci. 9, 312–318 (2016).
Zoltai, S. C. Permafrost distribution in peatlands of west-central Canada during the Holocene warm period 6000 years BP. Geogr. Phys. Quat. 49, 45–54 (1995).
Kuhn, M. et al. Gridded product of methane emissions from Boreal-Arctic wetlands and lakes. Zenodo https://doi.org/10.5281/zenodo.14991411 (2025).
Kuhn, M. et al. BAWLD-CH4: Methane Fluxes from Boreal and Arctic Ecosystems (Arctic Data Centre, 2025); https://doi.org/10.18739/A27H1DN5S
Olefeldt, D. et al. The Fractional Land Cover Estimates from the Boreal–Arctic Wetland and Lake Dataset (BAWLD), 2021 (Arctic Data Center, 2021); https://doi.org/10.18739/A2C824F9X
Global Wetland Methane Emissions derived from FLUXNET and the UpCH4 Model, 2001–2018 (DOE ORNL DAAC, 2024); https://doi.org/10.3334/ORNLDAAC/2253
Zhang, Z. et al. Development of a global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M). Zenodo https://doi.org/10.5281/zenodo.5553187 (2021).
Peltola, O. et al. Dataset for "Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations". Zenodo https://doi.org/10.5281/zenodo.2560163 (2019).
Runfola, D. et al. geoBoundaries: a global database of political administrative boundaries. PLoS One 15, e0231866 (2020).
Kuhn, M. et al. Code for the article 'Current and future methane emissions from boreal-Arctic wetlands and lakes'. Zenodo https://doi.org/10.5281/zenodo.15636336 (2025).
kenziekuhn4/bawldCH4_scaling (GitHub, 2025); https://github.com/kenziekuhn4/bawldCH4_scaling
Acknowledgements
The work was supported by funding from the Natural Sciences and Engineering Research Council Discovery Grant (grant no. RGPIN-2016-04688 to D.O and M.A.K), and the Campus Alberta Innovates Program (D.O. and M.A.K). We also acknowledge funding by the Northern Scientific Training Program, University of Alberta and UAlberta North, Vanier Canada Graduate Scholarship; the W. Garfield Weston Foundation; NSF award nos. 2109429 (M.A.K.) and NNA 2022561 (K.W.A); the TED Audacious Project (K.A.A. and J.D.W.); the ERC (grant no. H2020 725546 to D.B.); Formas (grant no. 2018-01794 to D.B.); the Swedish VR grant nos. 2022-03841 (to D.B.) and 2022-04839 (to G.H.); ESA AMPAC-Net (G.G. and G.H.); the EU Horizon ILLUQ project (grant no. 773421 to G.H.); COMPASS-FME, a multi-institutional project supported by the US Department of Energy, Office of Science, Biological and Environmental Research as part of the Environmental System Science Program (A.M.,E.F.-C); an NSF Biology Integration Institutes Program Award (no. 2022070 to R.K.V.); the DOE Genomic Sciences program (grant no. DE-SC0023456 to R.K.V.); and an NOAA cooperative agreement (grant no. NA22OAR4320151 to L.B. and Y.O.). The Pacific Northwest National Laboratory is operated for the DOE by Battelle Memorial Institute under contract no. DE-AC05-76RL01830 (A.M. and E.F.-C.). The statements, findings, conclusions and recommendations are those of the author(s) and do not necessarily reflect the views of NOAA or the US Department of Commerce.
Author information
Authors and Affiliations
Contributions
M.A.K and D.O. conceived of the work. M.A.K. led the data analysis with contributions from D.O. M.A.K led the interpretation of data with contributions from D.O., K.A.A, D.B., L.B., P.C., T.D., E.F.C., G.G., M.H., G.H., S.M., A.M., A.D.M., Y.O., B.P., C.C.T., M.R.T., R.K.V., K.M.W., J.D.W. and Z.Z. M.A.K wrote the manuscript, and D.O., K.A.A, D.B., L.B., P.C., T.D., E.F.C., G.G., G.H., S.M., A.M., A.D.M., Y.O., B.P., C.C.T., M.R.T., R.K.V., K.M.W., J.D.W. and Z.Z edited it.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Nat. Clim. Chang. thanks the anonymous reviewers for their contribution to the peer review of this work.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data
Extended Data Fig. 1 Modelled current annual (1988–2019) CH4 emissions.
Annual emissions for lakes are shown on panel a, while annual emissions for wetlands are shown on panel b.
Extended Data Fig. 2 Comparisons of net annual wetland emissions across biomes.
RF-PEATMAP and RF-GLWD fluxes & emissions are based on random-forest upscaling of boreal-Arctic eddy covariance data48 (for years 2013 & 2014). The UpCH4 emissions product uses the WAD2M wetland map and a global eddy covariance random forest model (2000-2017)7. GCP-BU is the Global Carbon Project Bottom-Up ensemble model (2000-2017)3, which also uses the WAD2M wetland map. CT-CH4-2023 is NOAA’s CarbonTracker-CH4-2023 inversion model11 (long-term 1997-2021 average; see Methods for model details). Emissions from this study (BAWLD) only include wetland emissions.
Supplementary information
Supplementary Information
Supplementary Figs 1–13 and captions for Supplementary Tables 1–13.
Supplementary Data 1–13
Excel sheet containing Supplementary Tables 1–13, each on an individual sheet.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Kuhn, M., Olefeldt, D., Arndt, K.A. et al. Current and future methane emissions from boreal-Arctic wetlands and lakes. Nat. Clim. Chang. 15, 986–991 (2025). https://doi.org/10.1038/s41558-025-02413-y
Received:
Accepted:
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1038/s41558-025-02413-y
This article is cited by
-
Estimation of methane emissions from inundated areas in northern Eurasia using a process-based model and remotely sensed inundation dynamics data
Progress in Earth and Planetary Science (2025)


