Simulated methane emissions from Arctic ponds are highly sensitive to warming

We employ a new, process-based model for methane emissions from ponds (MeEP) to investigate the methane-emission response of polygonal-tundra ponds in Northeast Siberia to warming. Small and shallow water bodies such as ponds are vulnerable to warming due to their low thermal inertia compared to lar...

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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-2022-240
https://bg.copernicus.org/preprints/bg-2022-240/
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spelling ftcopernicus:oai:publications.copernicus.org:bgd108401 2023-05-15T14:55:38+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 2023-01-13 application/pdf https://doi.org/10.5194/bg-2022-240 https://bg.copernicus.org/preprints/bg-2022-240/ eng eng doi:10.5194/bg-2022-240 https://bg.copernicus.org/preprints/bg-2022-240/ eISSN: 1726-4189 Text 2023 ftcopernicus https://doi.org/10.5194/bg-2022-240 2023-01-16T17:22:42Z We employ a new, process-based model for methane emissions from ponds (MeEP) to investigate the methane-emission response of polygonal-tundra ponds in Northeast Siberia to warming. Small and shallow water bodies such as ponds are vulnerable to warming due to their low thermal inertia compared to larger lakes, and the Arctic is warming at an above-average rate. While ponds are a relevant landscape-scale source of methane under the current climate, the response of pond methane emissions to warming is uncertain. MeEP differentiates between the three main pond types of the polygonal tundra, ice-wedge, polygonal-center, and merged polygonal ponds. The model resolves the three main pathways of methane emissions – diffusion, ebullition, and plant-mediated transport – at the temporal resolution of one hour, thus capturing daily and seasonal variability of the methane emissions. The model was tuned using chamber measurements resolving the three methane pathways. 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 overall increase of 1.33 g CH 4 year -1 °C -1 per square meter of pond area. Under annual temperatures 5 °C above present temperatures pond methane emissions are more than three 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
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description We employ a new, process-based model for methane emissions from ponds (MeEP) to investigate the methane-emission response of polygonal-tundra ponds in Northeast Siberia to warming. Small and shallow water bodies such as ponds are vulnerable to warming due to their low thermal inertia compared to larger lakes, and the Arctic is warming at an above-average rate. While ponds are a relevant landscape-scale source of methane under the current climate, the response of pond methane emissions to warming is uncertain. MeEP differentiates between the three main pond types of the polygonal tundra, ice-wedge, polygonal-center, and merged polygonal ponds. The model resolves the three main pathways of methane emissions – diffusion, ebullition, and plant-mediated transport – at the temporal resolution of one hour, thus capturing daily and seasonal variability of the methane emissions. The model was tuned using chamber measurements resolving the three methane pathways. 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 overall increase of 1.33 g CH 4 year -1 °C -1 per square meter of pond area. Under annual temperatures 5 °C above present temperatures pond methane emissions are more than three 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-2022-240
https://bg.copernicus.org/preprints/bg-2022-240/
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-2022-240
https://bg.copernicus.org/preprints/bg-2022-240/
op_doi https://doi.org/10.5194/bg-2022-240
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