Identifying drivers behind spatial variability of Methane concentrations in East Siberian ponds

Waterbody methane emissions per area are negatively correlated with the size of the emitting waterbody. Thus, ponds, defined here as having an area smaller than 8 · 10 4 m 2 , contribute out of proportion to the aquatic methane budget compared to the total area they cover and compared to other water...

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Published in:Frontiers in Earth Science
Main Authors: Rehder, Z., Zaplavnova, A., Kutzbach, L.
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Ice
Online Access:http://hdl.handle.net/21.11116/0000-0008-3C15-E
http://hdl.handle.net/21.11116/0000-0008-3C17-C
http://hdl.handle.net/21.11116/0000-0008-3C18-B
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spelling ftpubman:oai:pure.mpg.de:item_3307594 2024-09-09T19:27:59+00:00 Identifying drivers behind spatial variability of Methane concentrations in East Siberian ponds Rehder, Z. Zaplavnova, A. Kutzbach, L. 2021-03-26 application/pdf http://hdl.handle.net/21.11116/0000-0008-3C15-E http://hdl.handle.net/21.11116/0000-0008-3C17-C http://hdl.handle.net/21.11116/0000-0008-3C18-B eng eng info:eu-repo/semantics/altIdentifier/doi/10.3389/feart.2021.617662 http://hdl.handle.net/21.11116/0000-0008-3C15-E http://hdl.handle.net/21.11116/0000-0008-3C17-C http://hdl.handle.net/21.11116/0000-0008-3C18-B info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Frontiers in Earth Science info:eu-repo/semantics/article 2021 ftpubman https://doi.org/10.3389/feart.2021.617662 2024-06-18T14:12:31Z Waterbody methane emissions per area are negatively correlated with the size of the emitting waterbody. Thus, ponds, defined here as having an area smaller than 8 · 10 4 m 2 , contribute out of proportion to the aquatic methane budget compared to the total area they cover and compared to other waterbodies. However, methane concentrations in and methane emissions from ponds show more spatial variability than larger waterbodies. We need to better understand this variability to improve upscaling estimates of freshwater methane emissions. In this regard, the Arctic permafrost landscape is an important region, which, besides carbon-rich soils, features a high pond density and is exposed to above-average climatic warming. We studied 41 polygonal-tundra ponds in the Lena River Delta, northeast Siberia. We collected water samples at different locations and depths in each pond and determined methane concentrations using gas chromatography. Additionally, we collected information on the key properties of the ponds to identify drivers of surface water methane concentrations. The ponds can be categorized into three geomorphological types with distinct differences in drivers of methane concentrations: polygonal-center ponds, ice-wedge ponds and larger merged polygonal ponds. All ponds are supersaturated in methane, but ice-wedge ponds exhibit the highest surface water concentrations. We find that ice-wedge ponds feature a strong stratification due to consistently low bottom temperatures. This causes surface concentrations to mainly depend on wind speed and on the amount of methane that has accumulated in the hypolimnion. In polygonal-center ponds, high methane surface concentrations are mostly determined by a small water depth. Apart from the influence of water depth on mixing speed, water depth controls the overgrown fraction, the fraction of the pond covered by vascular plants. The plants provide labile substrate to the methane-producing microbes. This link can also be seen in merged polygonal ponds, which furthermore show ... Article in Journal/Newspaper Arctic Ice lena river permafrost Tundra wedge* Siberia Max Planck Society: MPG.PuRe Arctic High Pond ENVELOPE(-57.148,-57.148,50.500,50.500) Frontiers in Earth Science 9
institution Open Polar
collection Max Planck Society: MPG.PuRe
op_collection_id ftpubman
language English
description Waterbody methane emissions per area are negatively correlated with the size of the emitting waterbody. Thus, ponds, defined here as having an area smaller than 8 · 10 4 m 2 , contribute out of proportion to the aquatic methane budget compared to the total area they cover and compared to other waterbodies. However, methane concentrations in and methane emissions from ponds show more spatial variability than larger waterbodies. We need to better understand this variability to improve upscaling estimates of freshwater methane emissions. In this regard, the Arctic permafrost landscape is an important region, which, besides carbon-rich soils, features a high pond density and is exposed to above-average climatic warming. We studied 41 polygonal-tundra ponds in the Lena River Delta, northeast Siberia. We collected water samples at different locations and depths in each pond and determined methane concentrations using gas chromatography. Additionally, we collected information on the key properties of the ponds to identify drivers of surface water methane concentrations. The ponds can be categorized into three geomorphological types with distinct differences in drivers of methane concentrations: polygonal-center ponds, ice-wedge ponds and larger merged polygonal ponds. All ponds are supersaturated in methane, but ice-wedge ponds exhibit the highest surface water concentrations. We find that ice-wedge ponds feature a strong stratification due to consistently low bottom temperatures. This causes surface concentrations to mainly depend on wind speed and on the amount of methane that has accumulated in the hypolimnion. In polygonal-center ponds, high methane surface concentrations are mostly determined by a small water depth. Apart from the influence of water depth on mixing speed, water depth controls the overgrown fraction, the fraction of the pond covered by vascular plants. The plants provide labile substrate to the methane-producing microbes. This link can also be seen in merged polygonal ponds, which furthermore show ...
format Article in Journal/Newspaper
author Rehder, Z.
Zaplavnova, A.
Kutzbach, L.
spellingShingle Rehder, Z.
Zaplavnova, A.
Kutzbach, L.
Identifying drivers behind spatial variability of Methane concentrations in East Siberian ponds
author_facet Rehder, Z.
Zaplavnova, A.
Kutzbach, L.
author_sort Rehder, Z.
title Identifying drivers behind spatial variability of Methane concentrations in East Siberian ponds
title_short Identifying drivers behind spatial variability of Methane concentrations in East Siberian ponds
title_full Identifying drivers behind spatial variability of Methane concentrations in East Siberian ponds
title_fullStr Identifying drivers behind spatial variability of Methane concentrations in East Siberian ponds
title_full_unstemmed Identifying drivers behind spatial variability of Methane concentrations in East Siberian ponds
title_sort identifying drivers behind spatial variability of methane concentrations in east siberian ponds
publishDate 2021
url http://hdl.handle.net/21.11116/0000-0008-3C15-E
http://hdl.handle.net/21.11116/0000-0008-3C17-C
http://hdl.handle.net/21.11116/0000-0008-3C18-B
long_lat ENVELOPE(-57.148,-57.148,50.500,50.500)
geographic Arctic
High Pond
geographic_facet Arctic
High Pond
genre Arctic
Ice
lena river
permafrost
Tundra
wedge*
Siberia
genre_facet Arctic
Ice
lena river
permafrost
Tundra
wedge*
Siberia
op_source Frontiers in Earth Science
op_relation info:eu-repo/semantics/altIdentifier/doi/10.3389/feart.2021.617662
http://hdl.handle.net/21.11116/0000-0008-3C15-E
http://hdl.handle.net/21.11116/0000-0008-3C17-C
http://hdl.handle.net/21.11116/0000-0008-3C18-B
op_rights info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3389/feart.2021.617662
container_title Frontiers in Earth Science
container_volume 9
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