Simulated methane emissions from Arctic ponds are highly sensitive to warming

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...

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Published in:Biogeosciences
Main Authors: Rehder, Zoé, Kleinen, Thomas, Kutzbach, Lars, Stepanenko, Victor, Langer, Moritz, Brovkin, Victor
Format: Text
Language:English
Published: 2023
Subjects:
Online Access:https://doi.org/10.5194/bg-20-2837-2023
https://bg.copernicus.org/articles/20/2837/2023/
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spelling ftcopernicus:oai:publications.copernicus.org:bg108401 2023-08-15T12:39:53+02:00 Simulated methane emissions from Arctic ponds are highly sensitive to warming Rehder, Zoé Kleinen, Thomas Kutzbach, Lars Stepanenko, Victor Langer, Moritz Brovkin, Victor 2023-07-17 application/pdf https://doi.org/10.5194/bg-20-2837-2023 https://bg.copernicus.org/articles/20/2837/2023/ eng eng doi:10.5194/bg-20-2837-2023 https://bg.copernicus.org/articles/20/2837/2023/ eISSN: 1726-4189 Text 2023 ftcopernicus https://doi.org/10.5194/bg-20-2837-2023 2023-07-24T16:24:18Z 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 g CH 4 yr −1 ∘ C −1 m −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. Text Arctic Tundra Siberia Copernicus Publications: E-Journals Arctic Biogeosciences 20 14 2837 2855
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description 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 g CH 4 yr −1 ∘ C −1 m −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.
format Text
author Rehder, Zoé
Kleinen, Thomas
Kutzbach, Lars
Stepanenko, Victor
Langer, Moritz
Brovkin, Victor
spellingShingle Rehder, Zoé
Kleinen, Thomas
Kutzbach, Lars
Stepanenko, Victor
Langer, Moritz
Brovkin, Victor
Simulated methane emissions from Arctic ponds are highly sensitive to warming
author_facet Rehder, Zoé
Kleinen, Thomas
Kutzbach, Lars
Stepanenko, Victor
Langer, Moritz
Brovkin, Victor
author_sort Rehder, Zoé
title Simulated methane emissions from Arctic ponds are highly sensitive to warming
title_short Simulated methane emissions from Arctic ponds are highly sensitive to warming
title_full Simulated methane emissions from Arctic ponds are highly sensitive to warming
title_fullStr Simulated methane emissions from Arctic ponds are highly sensitive to warming
title_full_unstemmed Simulated methane emissions from Arctic ponds are highly sensitive to warming
title_sort simulated methane emissions from arctic ponds are highly sensitive to warming
publishDate 2023
url https://doi.org/10.5194/bg-20-2837-2023
https://bg.copernicus.org/articles/20/2837/2023/
geographic Arctic
geographic_facet Arctic
genre Arctic
Tundra
Siberia
genre_facet Arctic
Tundra
Siberia
op_source eISSN: 1726-4189
op_relation doi:10.5194/bg-20-2837-2023
https://bg.copernicus.org/articles/20/2837/2023/
op_doi https://doi.org/10.5194/bg-20-2837-2023
container_title Biogeosciences
container_volume 20
container_issue 14
container_start_page 2837
op_container_end_page 2855
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