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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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 |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
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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 |
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20 |
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6 |
container_start_page |
1181 |
op_container_end_page |
1193 |
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1766320460639764480 |