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Simulated methane emissions from Arctic ponds are highly sensitive to warming

  • Zoé Rehder*
  • , Thomas Kleinen
  • , Lars Kutzbach
  • , Victor Stepanenko
  • , Moritz Langer
  • , Victor Brovkin
  • *Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

The Arctic is warming at an above-average rate, and small, shallow waterbodies such as ponds are vulnerable to this warming due to their low thermal inertia compared to larger lakes. While ponds are a relevant landscape-scale source of methane under the current climate, the response of pond methane emissions to warming is uncertain. We employ a new, process-based model for methane emissions from ponds (MeEP) to investigate the methane emission response of polygonal-tundra ponds in northeastern Siberia to warming. MeEP is the first dedicated model of pond methane emissions which differentiates between the three main pond types of the polygonal-tundra, ice-wedge, polygonal-center, and merged polygonal ponds and resolves the three main pathways of methane emissions - diffusion, ebullition, and plant-mediated transport. We perform idealized warming experiments, with increases in the mean annual temperature of 2.5, 5, and 7.5°C on top of a historical simulation. The simulations reveal an approximately linear increase in emissions from ponds of 1.33 CH4 yr-1°C-1m-2 in this temperature range. Under annual temperatures 5°C above present temperatures, pond methane emissions are more than 3 times higher than now. Most of this emission increase is due to the additional substrate provided by the increased net productivity of the vascular plants. Furthermore, plant-mediated transport is the dominating pathway of methane emissions in all simulations. We conclude that vascular plants as a substrate source and efficient methane pathway should be included in future pan-Arctic assessments of pond methane emissions.

Original languageEnglish
Pages (from-to)2837-2855
Number of pages19
JournalBiogeosciences
Volume20
Issue number14
Early online date17 Jul 2023
DOIs
Publication statusPublished - 2023

Bibliographical note

Funding Information:
Thanks to the ICDC (CEN, University of Hamburg) for data support. This work was funded by the German Research Foundation as part of the CLICCS Clusters of Excellence (DFG EXC 2037). This work contributes to the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 951288, Q-Arctic). Thomas Kleinen acknowledges support from the German Federal Ministry of Education and Research (BMBF), Research for Sustainability initiative (FONA), through the project PalMod (grant no. 01LP1921A).

Funding Information:
This research has been supported by the Deutsche Forschungsgemeinschaft (grant no. DFG EXC 2037); the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant no. 951288); and the Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie (grant no. 01LP1921A).The article processing charges for this open-access publication were covered by the Max Planck Society.

Publisher Copyright:
© 2023 Zoé Rehder et al.

Funding

Thanks to the ICDC (CEN, University of Hamburg) for data support. This work was funded by the German Research Foundation as part of the CLICCS Clusters of Excellence (DFG EXC 2037). This work contributes to the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement no. 951288, Q-Arctic). Thomas Kleinen acknowledges support from the German Federal Ministry of Education and Research (BMBF), Research for Sustainability initiative (FONA), through the project PalMod (grant no. 01LP1921A). This research has been supported by the Deutsche Forschungsgemeinschaft (grant no. DFG EXC 2037); the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant no. 951288); and the Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie (grant no. 01LP1921A).The article processing charges for this open-access publication were covered by the Max Planck Society.

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