Post-drainage vegetation, microtopography and organic matter in Arctic drained lake basins
Abstract Wetlands in Arctic drained lake basins (DLBs) have a high potential for carbon storage in vegetation and peat as well as for elevated greenhouse gas emissions. However, the evolution of vegetation and organic matter is rarely studied in DLBs, making these abundant wetlands especially uncert...
Published in: | Environmental Research Letters |
---|---|
Main Authors: | , , , , , , , , , , , |
Other Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
IOP Publishing
2024
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1088/1748-9326/ad2eeb https://iopscience.iop.org/article/10.1088/1748-9326/ad2eeb https://iopscience.iop.org/article/10.1088/1748-9326/ad2eeb/pdf |
id |
crioppubl:10.1088/1748-9326/ad2eeb |
---|---|
record_format |
openpolar |
spelling |
crioppubl:10.1088/1748-9326/ad2eeb 2024-06-02T08:01:58+00:00 Post-drainage vegetation, microtopography and organic matter in Arctic drained lake basins Wolter, Juliane Jones, Benjamin M Fuchs, Matthias Breen, Amy Bussmann, Ingeborg Koch, Boris Lenz, Josefine Myers-Smith, Isla H Sachs, Torsten Strauss, Jens Nitze, Ingmar Grosse, Guido Deutsche Forschungsgemeinschaft Directorate for Geosciences Office of Polar Programs H2020 European Research Council Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research 2024 http://dx.doi.org/10.1088/1748-9326/ad2eeb https://iopscience.iop.org/article/10.1088/1748-9326/ad2eeb https://iopscience.iop.org/article/10.1088/1748-9326/ad2eeb/pdf unknown IOP Publishing http://creativecommons.org/licenses/by/4.0 https://iopscience.iop.org/info/page/text-and-data-mining Environmental Research Letters volume 19, issue 4, page 045001 ISSN 1748-9326 journal-article 2024 crioppubl https://doi.org/10.1088/1748-9326/ad2eeb 2024-05-07T14:01:13Z Abstract Wetlands in Arctic drained lake basins (DLBs) have a high potential for carbon storage in vegetation and peat as well as for elevated greenhouse gas emissions. However, the evolution of vegetation and organic matter is rarely studied in DLBs, making these abundant wetlands especially uncertain elements of the permafrost carbon budget. We surveyed multiple DLB generations in northern Alaska with the goal to assess vegetation, microtopography, and organic matter in surface sediment and pond water in DLBs and to provide the first high-resolution land cover classification for a DLB system focussing on moisture-related vegetation classes for the Teshekpuk Lake region. We associated sediment properties and methane concentrations along a post-drainage succession gradient with remote sensing-derived land cover classes. Our study distinguished five eco-hydrological classes using statistical clustering of vegetation data, which corresponded to the land cover classes. We identified surface wetness and time since drainage as predictors of vegetation composition. Microtopographic complexity increased after drainage. Organic carbon and nitrogen contents in sediment, and dissolved organic carbon (DOC) and dissolved nitrogen (DN) in ponds were high throughout, indicating high organic matter availability and decomposition. We confirmed wetness as a predictor of sediment methane concentrations. Our findings suggest moderate to high methane concentrations independent of drainage age, with particularly high concentrations beneath submerged patches (up to 200 μ mol l −1 ) and in pond water (up to 22 μ mol l −1 ). In our DLB system, wet and shallow submerged patches with high methane concentrations occupied 54% of the area, and ponds with high DOC, DN and methane occupied another 11%. In conclusion, we demonstrate that DLB wetlands are highly productive regarding organic matter decomposition and methane production. Machine learning-aided land cover classification using high-resolution multispectral satellite imagery provides ... Article in Journal/Newspaper Arctic permafrost Alaska IOP Publishing Arctic Environmental Research Letters 19 4 045001 |
institution |
Open Polar |
collection |
IOP Publishing |
op_collection_id |
crioppubl |
language |
unknown |
description |
Abstract Wetlands in Arctic drained lake basins (DLBs) have a high potential for carbon storage in vegetation and peat as well as for elevated greenhouse gas emissions. However, the evolution of vegetation and organic matter is rarely studied in DLBs, making these abundant wetlands especially uncertain elements of the permafrost carbon budget. We surveyed multiple DLB generations in northern Alaska with the goal to assess vegetation, microtopography, and organic matter in surface sediment and pond water in DLBs and to provide the first high-resolution land cover classification for a DLB system focussing on moisture-related vegetation classes for the Teshekpuk Lake region. We associated sediment properties and methane concentrations along a post-drainage succession gradient with remote sensing-derived land cover classes. Our study distinguished five eco-hydrological classes using statistical clustering of vegetation data, which corresponded to the land cover classes. We identified surface wetness and time since drainage as predictors of vegetation composition. Microtopographic complexity increased after drainage. Organic carbon and nitrogen contents in sediment, and dissolved organic carbon (DOC) and dissolved nitrogen (DN) in ponds were high throughout, indicating high organic matter availability and decomposition. We confirmed wetness as a predictor of sediment methane concentrations. Our findings suggest moderate to high methane concentrations independent of drainage age, with particularly high concentrations beneath submerged patches (up to 200 μ mol l −1 ) and in pond water (up to 22 μ mol l −1 ). In our DLB system, wet and shallow submerged patches with high methane concentrations occupied 54% of the area, and ponds with high DOC, DN and methane occupied another 11%. In conclusion, we demonstrate that DLB wetlands are highly productive regarding organic matter decomposition and methane production. Machine learning-aided land cover classification using high-resolution multispectral satellite imagery provides ... |
author2 |
Deutsche Forschungsgemeinschaft Directorate for Geosciences Office of Polar Programs H2020 European Research Council Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research |
format |
Article in Journal/Newspaper |
author |
Wolter, Juliane Jones, Benjamin M Fuchs, Matthias Breen, Amy Bussmann, Ingeborg Koch, Boris Lenz, Josefine Myers-Smith, Isla H Sachs, Torsten Strauss, Jens Nitze, Ingmar Grosse, Guido |
spellingShingle |
Wolter, Juliane Jones, Benjamin M Fuchs, Matthias Breen, Amy Bussmann, Ingeborg Koch, Boris Lenz, Josefine Myers-Smith, Isla H Sachs, Torsten Strauss, Jens Nitze, Ingmar Grosse, Guido Post-drainage vegetation, microtopography and organic matter in Arctic drained lake basins |
author_facet |
Wolter, Juliane Jones, Benjamin M Fuchs, Matthias Breen, Amy Bussmann, Ingeborg Koch, Boris Lenz, Josefine Myers-Smith, Isla H Sachs, Torsten Strauss, Jens Nitze, Ingmar Grosse, Guido |
author_sort |
Wolter, Juliane |
title |
Post-drainage vegetation, microtopography and organic matter in Arctic drained lake basins |
title_short |
Post-drainage vegetation, microtopography and organic matter in Arctic drained lake basins |
title_full |
Post-drainage vegetation, microtopography and organic matter in Arctic drained lake basins |
title_fullStr |
Post-drainage vegetation, microtopography and organic matter in Arctic drained lake basins |
title_full_unstemmed |
Post-drainage vegetation, microtopography and organic matter in Arctic drained lake basins |
title_sort |
post-drainage vegetation, microtopography and organic matter in arctic drained lake basins |
publisher |
IOP Publishing |
publishDate |
2024 |
url |
http://dx.doi.org/10.1088/1748-9326/ad2eeb https://iopscience.iop.org/article/10.1088/1748-9326/ad2eeb https://iopscience.iop.org/article/10.1088/1748-9326/ad2eeb/pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic permafrost Alaska |
genre_facet |
Arctic permafrost Alaska |
op_source |
Environmental Research Letters volume 19, issue 4, page 045001 ISSN 1748-9326 |
op_rights |
http://creativecommons.org/licenses/by/4.0 https://iopscience.iop.org/info/page/text-and-data-mining |
op_doi |
https://doi.org/10.1088/1748-9326/ad2eeb |
container_title |
Environmental Research Letters |
container_volume |
19 |
container_issue |
4 |
container_start_page |
045001 |
_version_ |
1800746476043763712 |