Scaling waterbody carbon dioxide and methane fluxes in the arctic using an integrated terrestrial-aquatic approach
In the Arctic waterbodies are abundant and rapid thaw of permafrost is destabilizing the carbon cycle and changing hydrology. It is particularly important to quantify and accurately scale aquatic carbon emissions in arctic ecosystems. Recently available high-resolution remote sensing datasets captur...
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ftdoajarticles:oai:doaj.org/article:650292b5767b491a9d8b311525c906f7 2023-09-05T13:16:26+02:00 Scaling waterbody carbon dioxide and methane fluxes in the arctic using an integrated terrestrial-aquatic approach Sarah M Ludwig Susan M Natali John D Schade Margaret Powell Greg Fiske Luke D Schiferl Roisin Commane 2023-01-01T00:00:00Z https://doi.org/10.1088/1748-9326/acd467 https://doaj.org/article/650292b5767b491a9d8b311525c906f7 EN eng IOP Publishing https://doi.org/10.1088/1748-9326/acd467 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/acd467 1748-9326 https://doaj.org/article/650292b5767b491a9d8b311525c906f7 Environmental Research Letters, Vol 18, Iss 6, p 064019 (2023) carbon scaling methane lake arctic Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 article 2023 ftdoajarticles https://doi.org/10.1088/1748-9326/acd467 2023-08-13T00:36:54Z In the Arctic waterbodies are abundant and rapid thaw of permafrost is destabilizing the carbon cycle and changing hydrology. It is particularly important to quantify and accurately scale aquatic carbon emissions in arctic ecosystems. Recently available high-resolution remote sensing datasets capture the physical characteristics of arctic landscapes at unprecedented spatial resolution. We demonstrate how machine learning models can capitalize on these spatial datasets to greatly improve accuracy when scaling waterbody CO _2 and CH _4 fluxes across the YK Delta of south-west AK. We found that waterbody size and contour were strong predictors for aquatic CO _2 emissions, attributing greater than two-thirds of the influence to the scaling model. Small ponds (<0.001 km ^2 ) were hotspots of emissions, contributing fluxes several times their relative area, but were less than 5% of the total carbon budget. Small to medium lakes (0.001–0.1 km ^2 ) contributed the majority of carbon emissions from waterbodies. Waterbody CH _4 emissions were predicted by a combination of wetland landcover and related drivers, as well as watershed hydrology, and waterbody surface reflectance related to chromophoric dissolved organic matter. When compared to our machine learning approach, traditional scaling methods that did not account for relevant landscape characteristics overestimated waterbody CO _2 and CH _4 emissions by 26%–79% and 8%–53% respectively. This study demonstrates the importance of an integrated terrestrial-aquatic approach to improving estimates and uncertainty when scaling C emissions in the arctic. Article in Journal/Newspaper Arctic permafrost Directory of Open Access Journals: DOAJ Articles Arctic Methane Lake ENVELOPE(-114.168,-114.168,62.484,62.484) Environmental Research Letters 18 6 064019 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
carbon scaling methane lake arctic Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 |
spellingShingle |
carbon scaling methane lake arctic Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 Sarah M Ludwig Susan M Natali John D Schade Margaret Powell Greg Fiske Luke D Schiferl Roisin Commane Scaling waterbody carbon dioxide and methane fluxes in the arctic using an integrated terrestrial-aquatic approach |
topic_facet |
carbon scaling methane lake arctic Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 |
description |
In the Arctic waterbodies are abundant and rapid thaw of permafrost is destabilizing the carbon cycle and changing hydrology. It is particularly important to quantify and accurately scale aquatic carbon emissions in arctic ecosystems. Recently available high-resolution remote sensing datasets capture the physical characteristics of arctic landscapes at unprecedented spatial resolution. We demonstrate how machine learning models can capitalize on these spatial datasets to greatly improve accuracy when scaling waterbody CO _2 and CH _4 fluxes across the YK Delta of south-west AK. We found that waterbody size and contour were strong predictors for aquatic CO _2 emissions, attributing greater than two-thirds of the influence to the scaling model. Small ponds (<0.001 km ^2 ) were hotspots of emissions, contributing fluxes several times their relative area, but were less than 5% of the total carbon budget. Small to medium lakes (0.001–0.1 km ^2 ) contributed the majority of carbon emissions from waterbodies. Waterbody CH _4 emissions were predicted by a combination of wetland landcover and related drivers, as well as watershed hydrology, and waterbody surface reflectance related to chromophoric dissolved organic matter. When compared to our machine learning approach, traditional scaling methods that did not account for relevant landscape characteristics overestimated waterbody CO _2 and CH _4 emissions by 26%–79% and 8%–53% respectively. This study demonstrates the importance of an integrated terrestrial-aquatic approach to improving estimates and uncertainty when scaling C emissions in the arctic. |
format |
Article in Journal/Newspaper |
author |
Sarah M Ludwig Susan M Natali John D Schade Margaret Powell Greg Fiske Luke D Schiferl Roisin Commane |
author_facet |
Sarah M Ludwig Susan M Natali John D Schade Margaret Powell Greg Fiske Luke D Schiferl Roisin Commane |
author_sort |
Sarah M Ludwig |
title |
Scaling waterbody carbon dioxide and methane fluxes in the arctic using an integrated terrestrial-aquatic approach |
title_short |
Scaling waterbody carbon dioxide and methane fluxes in the arctic using an integrated terrestrial-aquatic approach |
title_full |
Scaling waterbody carbon dioxide and methane fluxes in the arctic using an integrated terrestrial-aquatic approach |
title_fullStr |
Scaling waterbody carbon dioxide and methane fluxes in the arctic using an integrated terrestrial-aquatic approach |
title_full_unstemmed |
Scaling waterbody carbon dioxide and methane fluxes in the arctic using an integrated terrestrial-aquatic approach |
title_sort |
scaling waterbody carbon dioxide and methane fluxes in the arctic using an integrated terrestrial-aquatic approach |
publisher |
IOP Publishing |
publishDate |
2023 |
url |
https://doi.org/10.1088/1748-9326/acd467 https://doaj.org/article/650292b5767b491a9d8b311525c906f7 |
long_lat |
ENVELOPE(-114.168,-114.168,62.484,62.484) |
geographic |
Arctic Methane Lake |
geographic_facet |
Arctic Methane Lake |
genre |
Arctic permafrost |
genre_facet |
Arctic permafrost |
op_source |
Environmental Research Letters, Vol 18, Iss 6, p 064019 (2023) |
op_relation |
https://doi.org/10.1088/1748-9326/acd467 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/acd467 1748-9326 https://doaj.org/article/650292b5767b491a9d8b311525c906f7 |
op_doi |
https://doi.org/10.1088/1748-9326/acd467 |
container_title |
Environmental Research Letters |
container_volume |
18 |
container_issue |
6 |
container_start_page |
064019 |
_version_ |
1776198021092999168 |