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 · 104m2, contribute out of proportion to the aquatic methane budget compared to the total area they cover and compared to other waterbodi...

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Published in:Frontiers in Earth Science
Main Authors: Zoé Rehder, Anna Zaplavnova, Lars Kutzbach
Format: Article in Journal/Newspaper
Language:English
Published: Frontiers Media S.A. 2021
Subjects:
Q
Ice
Online Access:https://doi.org/10.3389/feart.2021.617662
https://doaj.org/article/8d586a17af61481bb65dc007ea6f6832
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spelling ftdoajarticles:oai:doaj.org/article:8d586a17af61481bb65dc007ea6f6832 2023-05-15T15:16:17+02:00 Identifying Drivers Behind Spatial Variability of Methane Concentrations in East Siberian Ponds Zoé Rehder Anna Zaplavnova Lars Kutzbach 2021-03-01T00:00:00Z https://doi.org/10.3389/feart.2021.617662 https://doaj.org/article/8d586a17af61481bb65dc007ea6f6832 EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/feart.2021.617662/full https://doaj.org/toc/2296-6463 2296-6463 doi:10.3389/feart.2021.617662 https://doaj.org/article/8d586a17af61481bb65dc007ea6f6832 Frontiers in Earth Science, Vol 9 (2021) ponds methane polygonal tundra permafost spatial variability Lena river delta Science Q article 2021 ftdoajarticles https://doi.org/10.3389/feart.2021.617662 2022-12-31T06:46:18Z 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 · 104m2, 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 the ... Article in Journal/Newspaper Arctic Ice lena river permafrost Tundra wedge* Siberia Directory of Open Access Journals: DOAJ Articles Arctic High Pond ENVELOPE(-57.148,-57.148,50.500,50.500) Frontiers in Earth Science 9
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic ponds
methane
polygonal tundra
permafost
spatial variability
Lena river delta
Science
Q
spellingShingle ponds
methane
polygonal tundra
permafost
spatial variability
Lena river delta
Science
Q
Zoé Rehder
Anna Zaplavnova
Lars Kutzbach
Identifying Drivers Behind Spatial Variability of Methane Concentrations in East Siberian Ponds
topic_facet ponds
methane
polygonal tundra
permafost
spatial variability
Lena river delta
Science
Q
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 · 104m2, 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 the ...
format Article in Journal/Newspaper
author Zoé Rehder
Anna Zaplavnova
Lars Kutzbach
author_facet Zoé Rehder
Anna Zaplavnova
Lars Kutzbach
author_sort Zoé Rehder
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
publisher Frontiers Media S.A.
publishDate 2021
url https://doi.org/10.3389/feart.2021.617662
https://doaj.org/article/8d586a17af61481bb65dc007ea6f6832
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, Vol 9 (2021)
op_relation https://www.frontiersin.org/articles/10.3389/feart.2021.617662/full
https://doaj.org/toc/2296-6463
2296-6463
doi:10.3389/feart.2021.617662
https://doaj.org/article/8d586a17af61481bb65dc007ea6f6832
op_doi https://doi.org/10.3389/feart.2021.617662
container_title Frontiers in Earth Science
container_volume 9
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