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Methane Emission From Global Lakes: New Spatiotemporal Data and Observation‐Driven Modeling of Methane Dynamics Indicates Lower Emissions
Lakes have been highlighted as one of the largest natural sources of the greenhouse gas methane (CH(4)) to the atmosphere. However, global estimates of lake CH(4) fluxes over the last 20 years exhibit widely different results ranging from 6 to 185 Tg CH(4) yr(−1), which is to a large extent driven b...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540782/ https://www.ncbi.nlm.nih.gov/pubmed/36250198 http://dx.doi.org/10.1029/2022JG006793 |
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author | Johnson, Matthew S. Matthews, Elaine Du, Jinyang Genovese, Vanessa Bastviken, David |
author_facet | Johnson, Matthew S. Matthews, Elaine Du, Jinyang Genovese, Vanessa Bastviken, David |
author_sort | Johnson, Matthew S. |
collection | PubMed |
description | Lakes have been highlighted as one of the largest natural sources of the greenhouse gas methane (CH(4)) to the atmosphere. However, global estimates of lake CH(4) fluxes over the last 20 years exhibit widely different results ranging from 6 to 185 Tg CH(4) yr(−1), which is to a large extent driven by differences in lake areas and thaw season lengths used. This has generated uncertainty regarding both lake fluxes and the global CH(4) budget. This study constrains global lake water CH(4) emissions by using new information on lake area and distribution and CH(4) fluxes distinguished by major emission pathways; ecoclimatic lake type; satellite‐derived ice‐free emission period length; and diel‐ and temperature‐related seasonal flux corrections. We produced gridded data sets at 0.25° latitude × 0.25° longitude spatial resolution, representing daily emission estimates over a full annual climatological cycle, appropriate for use in global CH(4) budget estimates, climate and Earth System Models, bottom‐up biogeochemical models, and top‐down inverse model simulations. Global lake CH(4) fluxes are 41.6 ± 18.3 Tg CH(4) yr(−1) with approximately 50% of the flux contributed by tropical/subtropical lakes. Strong temperature‐dependent flux seasonality and satellite‐derived freeze/thaw dynamics limit emissions at high latitudes. The primary emission pathway for global annual lake fluxes is ebullition (23.4 Tg) followed by diffusion (14.1 Tg), ice‐out and spring water‐column turnover (3.1 Tg), and fall water‐column turnover (1.0 Tg). These results represent a major contribution to reconciling differences between bottom‐up and top‐town estimates of inland aquatic system emissions in the global CH(4) budget. |
format | Online Article Text |
id | pubmed-9540782 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95407822022-10-14 Methane Emission From Global Lakes: New Spatiotemporal Data and Observation‐Driven Modeling of Methane Dynamics Indicates Lower Emissions Johnson, Matthew S. Matthews, Elaine Du, Jinyang Genovese, Vanessa Bastviken, David J Geophys Res Biogeosci Research Article Lakes have been highlighted as one of the largest natural sources of the greenhouse gas methane (CH(4)) to the atmosphere. However, global estimates of lake CH(4) fluxes over the last 20 years exhibit widely different results ranging from 6 to 185 Tg CH(4) yr(−1), which is to a large extent driven by differences in lake areas and thaw season lengths used. This has generated uncertainty regarding both lake fluxes and the global CH(4) budget. This study constrains global lake water CH(4) emissions by using new information on lake area and distribution and CH(4) fluxes distinguished by major emission pathways; ecoclimatic lake type; satellite‐derived ice‐free emission period length; and diel‐ and temperature‐related seasonal flux corrections. We produced gridded data sets at 0.25° latitude × 0.25° longitude spatial resolution, representing daily emission estimates over a full annual climatological cycle, appropriate for use in global CH(4) budget estimates, climate and Earth System Models, bottom‐up biogeochemical models, and top‐down inverse model simulations. Global lake CH(4) fluxes are 41.6 ± 18.3 Tg CH(4) yr(−1) with approximately 50% of the flux contributed by tropical/subtropical lakes. Strong temperature‐dependent flux seasonality and satellite‐derived freeze/thaw dynamics limit emissions at high latitudes. The primary emission pathway for global annual lake fluxes is ebullition (23.4 Tg) followed by diffusion (14.1 Tg), ice‐out and spring water‐column turnover (3.1 Tg), and fall water‐column turnover (1.0 Tg). These results represent a major contribution to reconciling differences between bottom‐up and top‐town estimates of inland aquatic system emissions in the global CH(4) budget. John Wiley and Sons Inc. 2022-07-27 2022-07 /pmc/articles/PMC9540782/ /pubmed/36250198 http://dx.doi.org/10.1029/2022JG006793 Text en © 2022 The Authors. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Johnson, Matthew S. Matthews, Elaine Du, Jinyang Genovese, Vanessa Bastviken, David Methane Emission From Global Lakes: New Spatiotemporal Data and Observation‐Driven Modeling of Methane Dynamics Indicates Lower Emissions |
title | Methane Emission From Global Lakes: New Spatiotemporal Data and Observation‐Driven Modeling of Methane Dynamics Indicates Lower Emissions |
title_full | Methane Emission From Global Lakes: New Spatiotemporal Data and Observation‐Driven Modeling of Methane Dynamics Indicates Lower Emissions |
title_fullStr | Methane Emission From Global Lakes: New Spatiotemporal Data and Observation‐Driven Modeling of Methane Dynamics Indicates Lower Emissions |
title_full_unstemmed | Methane Emission From Global Lakes: New Spatiotemporal Data and Observation‐Driven Modeling of Methane Dynamics Indicates Lower Emissions |
title_short | Methane Emission From Global Lakes: New Spatiotemporal Data and Observation‐Driven Modeling of Methane Dynamics Indicates Lower Emissions |
title_sort | methane emission from global lakes: new spatiotemporal data and observation‐driven modeling of methane dynamics indicates lower emissions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540782/ https://www.ncbi.nlm.nih.gov/pubmed/36250198 http://dx.doi.org/10.1029/2022JG006793 |
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