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A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches

Atmospheric inversions use measurements of atmospheric CO(2) gradients to constrain regional surface fluxes. Current inversions indicate a net terrestrial CO(2) sink in China between 0.16 and 0.35 PgC/yr. The uncertainty of these estimates is as large as the mean because the atmospheric network hist...

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Autores principales: Jiang, Fei, Chen, Jing M., Zhou, Lingxi, Ju, Weimin, Zhang, Huifang, Machida, Toshinobu, Ciais, Philippe, Peters, Wouter, Wang, Hengmao, Chen, Baozhang, Liu, Lixin, Zhang, Chunhua, Matsueda, Hidekazu, Sawa, Yousuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4770414/
https://www.ncbi.nlm.nih.gov/pubmed/26924637
http://dx.doi.org/10.1038/srep22130
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author Jiang, Fei
Chen, Jing M.
Zhou, Lingxi
Ju, Weimin
Zhang, Huifang
Machida, Toshinobu
Ciais, Philippe
Peters, Wouter
Wang, Hengmao
Chen, Baozhang
Liu, Lixin
Zhang, Chunhua
Matsueda, Hidekazu
Sawa, Yousuke
author_facet Jiang, Fei
Chen, Jing M.
Zhou, Lingxi
Ju, Weimin
Zhang, Huifang
Machida, Toshinobu
Ciais, Philippe
Peters, Wouter
Wang, Hengmao
Chen, Baozhang
Liu, Lixin
Zhang, Chunhua
Matsueda, Hidekazu
Sawa, Yousuke
author_sort Jiang, Fei
collection PubMed
description Atmospheric inversions use measurements of atmospheric CO(2) gradients to constrain regional surface fluxes. Current inversions indicate a net terrestrial CO(2) sink in China between 0.16 and 0.35 PgC/yr. The uncertainty of these estimates is as large as the mean because the atmospheric network historically contained only one high altitude station in China. Here, we revisit the calculation of the terrestrial CO(2) flux in China, excluding emissions from fossil fuel burning and cement production, by using two inversions with three new CO(2) monitoring stations in China as well as aircraft observations over Asia. We estimate a net terrestrial CO(2) uptake of 0.39–0.51 PgC/yr with a mean of 0.45 PgC/yr in 2006–2009. After considering the lateral transport of carbon in air and water and international trade, the annual mean carbon sink is adjusted to 0.35 PgC/yr. To evaluate this top-down estimate, we constructed an independent bottom-up estimate based on ecosystem data, and giving a net land sink of 0.33 PgC/yr. This demonstrates closure between the top-down and bottom-up estimates. Both top-down and bottom-up estimates give a higher carbon sink than previous estimates made for the 1980s and 1990s, suggesting a trend towards increased uptake by land ecosystems in China.
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spelling pubmed-47704142016-03-07 A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches Jiang, Fei Chen, Jing M. Zhou, Lingxi Ju, Weimin Zhang, Huifang Machida, Toshinobu Ciais, Philippe Peters, Wouter Wang, Hengmao Chen, Baozhang Liu, Lixin Zhang, Chunhua Matsueda, Hidekazu Sawa, Yousuke Sci Rep Article Atmospheric inversions use measurements of atmospheric CO(2) gradients to constrain regional surface fluxes. Current inversions indicate a net terrestrial CO(2) sink in China between 0.16 and 0.35 PgC/yr. The uncertainty of these estimates is as large as the mean because the atmospheric network historically contained only one high altitude station in China. Here, we revisit the calculation of the terrestrial CO(2) flux in China, excluding emissions from fossil fuel burning and cement production, by using two inversions with three new CO(2) monitoring stations in China as well as aircraft observations over Asia. We estimate a net terrestrial CO(2) uptake of 0.39–0.51 PgC/yr with a mean of 0.45 PgC/yr in 2006–2009. After considering the lateral transport of carbon in air and water and international trade, the annual mean carbon sink is adjusted to 0.35 PgC/yr. To evaluate this top-down estimate, we constructed an independent bottom-up estimate based on ecosystem data, and giving a net land sink of 0.33 PgC/yr. This demonstrates closure between the top-down and bottom-up estimates. Both top-down and bottom-up estimates give a higher carbon sink than previous estimates made for the 1980s and 1990s, suggesting a trend towards increased uptake by land ecosystems in China. Nature Publishing Group 2016-02-29 /pmc/articles/PMC4770414/ /pubmed/26924637 http://dx.doi.org/10.1038/srep22130 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Jiang, Fei
Chen, Jing M.
Zhou, Lingxi
Ju, Weimin
Zhang, Huifang
Machida, Toshinobu
Ciais, Philippe
Peters, Wouter
Wang, Hengmao
Chen, Baozhang
Liu, Lixin
Zhang, Chunhua
Matsueda, Hidekazu
Sawa, Yousuke
A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches
title A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches
title_full A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches
title_fullStr A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches
title_full_unstemmed A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches
title_short A comprehensive estimate of recent carbon sinks in China using both top-down and bottom-up approaches
title_sort comprehensive estimate of recent carbon sinks in china using both top-down and bottom-up approaches
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4770414/
https://www.ncbi.nlm.nih.gov/pubmed/26924637
http://dx.doi.org/10.1038/srep22130
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