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...
Published in: | Frontiers in Earth Science |
---|---|
Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2021
|
Subjects: | |
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 |
id |
ftpubman:oai:pure.mpg.de:item_3307594 |
---|---|
record_format |
openpolar |
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 |
_version_ |
1809897295689285632 |