Methane emissions from Arctic landscapes during 2000–2015: an analysis with land and lake biogeochemistry models

Wetlands and freshwater bodies (mainly lakes) are the largest natural sources of the greenhouse gas CH 4 to the atmosphere. Great efforts have been made to quantify these source emissions and their uncertainties. Previous research suggests that there might be significant uncertainties coming from “d...

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Published in:Biogeosciences
Main Authors: Liu, Xiangyu, Zhuang, Qianlai
Format: Text
Language:English
Published: 2023
Subjects:
Online Access:https://doi.org/10.5194/bg-20-1181-2023
https://bg.copernicus.org/articles/20/1181/2023/
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spelling ftcopernicus:oai:publications.copernicus.org:bg107729 2023-05-15T14:49:25+02:00 Methane emissions from Arctic landscapes during 2000–2015: an analysis with land and lake biogeochemistry models Liu, Xiangyu Zhuang, Qianlai 2023-03-27 application/pdf https://doi.org/10.5194/bg-20-1181-2023 https://bg.copernicus.org/articles/20/1181/2023/ eng eng doi:10.5194/bg-20-1181-2023 https://bg.copernicus.org/articles/20/1181/2023/ eISSN: 1726-4189 Text 2023 ftcopernicus https://doi.org/10.5194/bg-20-1181-2023 2023-04-03T16:23:12Z Wetlands and freshwater bodies (mainly lakes) are the largest natural sources of the greenhouse gas CH 4 to the atmosphere. Great efforts have been made to quantify these source emissions and their uncertainties. Previous research suggests that there might be significant uncertainties coming from “double accounting” emissions from freshwater bodies and wetlands. Here we quantify the methane emissions from both land and freshwater bodies in the pan-Arctic with two process-based biogeochemistry models by minimizing the double accounting at the landscape scale. Two non-overlapping dynamic areal change datasets are used to drive the models. We estimate that the total methane emissions from the pan-Arctic are 36.46 ± 1.02 Tg CH 4 yr −1 during 2000–2015, of which wetlands and freshwater bodies are 21.69 ± 0.59 Tg CH 4 yr −1 and 14.76 ± 0.44 Tg CH 4 yr −1 , respectively. Our estimation narrows the difference between previous bottom-up (53.9 Tg CH 4 yr −1 ) and top-down (29 Tg CH 4 yr −1 ) estimates. Our correlation analysis shows that air temperature is the most important driver for methane emissions of inland water systems. Wetland emissions are also significantly affected by vapor pressure, while lake emissions are more influenced by precipitation and landscape areal changes. Sensitivity tests indicate that pan-Arctic lake CH 4 emissions were highly influenced by air temperature but less by lake sediment carbon increase. Text Arctic Copernicus Publications: E-Journals Arctic Arctic Lake ENVELOPE(-130.826,-130.826,57.231,57.231) Narrows The ENVELOPE(-67.167,-67.167,-67.617,-67.617) Biogeosciences 20 6 1181 1193
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Wetlands and freshwater bodies (mainly lakes) are the largest natural sources of the greenhouse gas CH 4 to the atmosphere. Great efforts have been made to quantify these source emissions and their uncertainties. Previous research suggests that there might be significant uncertainties coming from “double accounting” emissions from freshwater bodies and wetlands. Here we quantify the methane emissions from both land and freshwater bodies in the pan-Arctic with two process-based biogeochemistry models by minimizing the double accounting at the landscape scale. Two non-overlapping dynamic areal change datasets are used to drive the models. We estimate that the total methane emissions from the pan-Arctic are 36.46 ± 1.02 Tg CH 4 yr −1 during 2000–2015, of which wetlands and freshwater bodies are 21.69 ± 0.59 Tg CH 4 yr −1 and 14.76 ± 0.44 Tg CH 4 yr −1 , respectively. Our estimation narrows the difference between previous bottom-up (53.9 Tg CH 4 yr −1 ) and top-down (29 Tg CH 4 yr −1 ) estimates. Our correlation analysis shows that air temperature is the most important driver for methane emissions of inland water systems. Wetland emissions are also significantly affected by vapor pressure, while lake emissions are more influenced by precipitation and landscape areal changes. Sensitivity tests indicate that pan-Arctic lake CH 4 emissions were highly influenced by air temperature but less by lake sediment carbon increase.
format Text
author Liu, Xiangyu
Zhuang, Qianlai
spellingShingle Liu, Xiangyu
Zhuang, Qianlai
Methane emissions from Arctic landscapes during 2000–2015: an analysis with land and lake biogeochemistry models
author_facet Liu, Xiangyu
Zhuang, Qianlai
author_sort Liu, Xiangyu
title Methane emissions from Arctic landscapes during 2000–2015: an analysis with land and lake biogeochemistry models
title_short Methane emissions from Arctic landscapes during 2000–2015: an analysis with land and lake biogeochemistry models
title_full Methane emissions from Arctic landscapes during 2000–2015: an analysis with land and lake biogeochemistry models
title_fullStr Methane emissions from Arctic landscapes during 2000–2015: an analysis with land and lake biogeochemistry models
title_full_unstemmed Methane emissions from Arctic landscapes during 2000–2015: an analysis with land and lake biogeochemistry models
title_sort methane emissions from arctic landscapes during 2000–2015: an analysis with land and lake biogeochemistry models
publishDate 2023
url https://doi.org/10.5194/bg-20-1181-2023
https://bg.copernicus.org/articles/20/1181/2023/
long_lat ENVELOPE(-130.826,-130.826,57.231,57.231)
ENVELOPE(-67.167,-67.167,-67.617,-67.617)
geographic Arctic
Arctic Lake
Narrows The
geographic_facet Arctic
Arctic Lake
Narrows The
genre Arctic
genre_facet Arctic
op_source eISSN: 1726-4189
op_relation doi:10.5194/bg-20-1181-2023
https://bg.copernicus.org/articles/20/1181/2023/
op_doi https://doi.org/10.5194/bg-20-1181-2023
container_title Biogeosciences
container_volume 20
container_issue 6
container_start_page 1181
op_container_end_page 1193
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