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Forest expansion dominates China’s land carbon sink since 1980
Carbon budget accounting relies heavily on Food and Agriculture Organization land-use data reported by governments. Here we develop a new land-use and cover-change database for China, finding that differing historical survey methods biased China’s reported data causing large errors in Food and Agric...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470586/ https://www.ncbi.nlm.nih.gov/pubmed/36100606 http://dx.doi.org/10.1038/s41467-022-32961-2 |
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author | Yu, Zhen Ciais, Philippe Piao, Shilong Houghton, Richard A. Lu, Chaoqun Tian, Hanqin Agathokleous, Evgenios Kattel, Giri Raj Sitch, Stephen Goll, Daniel Yue, Xu Walker, Anthony Friedlingstein, Pierre Jain, Atul K. Liu, Shirong Zhou, Guoyi |
author_facet | Yu, Zhen Ciais, Philippe Piao, Shilong Houghton, Richard A. Lu, Chaoqun Tian, Hanqin Agathokleous, Evgenios Kattel, Giri Raj Sitch, Stephen Goll, Daniel Yue, Xu Walker, Anthony Friedlingstein, Pierre Jain, Atul K. Liu, Shirong Zhou, Guoyi |
author_sort | Yu, Zhen |
collection | PubMed |
description | Carbon budget accounting relies heavily on Food and Agriculture Organization land-use data reported by governments. Here we develop a new land-use and cover-change database for China, finding that differing historical survey methods biased China’s reported data causing large errors in Food and Agriculture Organization databases. Land ecosystem model simulations driven with the new data reveal a strong carbon sink of 8.9 ± 0.8 Pg carbon from 1980 to 2019 in China, which was not captured in Food and Agriculture Organization data-based estimations due to biased land-use and cover-change signals. The land-use and cover-change in China, characterized by a rapid forest expansion from 1980 to 2019, contributed to nearly 44% of the national terrestrial carbon sink. In contrast, climate changes (22.3%), increasing nitrogen deposition (12.9%), and rising carbon dioxide (8.1%) are less important contributors. This indicates that previous studies have greatly underestimated the impact of land-use and cover-change on the terrestrial carbon balance of China. This study underlines the importance of reliable land-use and cover-change databases in global carbon budget accounting. |
format | Online Article Text |
id | pubmed-9470586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94705862022-09-15 Forest expansion dominates China’s land carbon sink since 1980 Yu, Zhen Ciais, Philippe Piao, Shilong Houghton, Richard A. Lu, Chaoqun Tian, Hanqin Agathokleous, Evgenios Kattel, Giri Raj Sitch, Stephen Goll, Daniel Yue, Xu Walker, Anthony Friedlingstein, Pierre Jain, Atul K. Liu, Shirong Zhou, Guoyi Nat Commun Article Carbon budget accounting relies heavily on Food and Agriculture Organization land-use data reported by governments. Here we develop a new land-use and cover-change database for China, finding that differing historical survey methods biased China’s reported data causing large errors in Food and Agriculture Organization databases. Land ecosystem model simulations driven with the new data reveal a strong carbon sink of 8.9 ± 0.8 Pg carbon from 1980 to 2019 in China, which was not captured in Food and Agriculture Organization data-based estimations due to biased land-use and cover-change signals. The land-use and cover-change in China, characterized by a rapid forest expansion from 1980 to 2019, contributed to nearly 44% of the national terrestrial carbon sink. In contrast, climate changes (22.3%), increasing nitrogen deposition (12.9%), and rising carbon dioxide (8.1%) are less important contributors. This indicates that previous studies have greatly underestimated the impact of land-use and cover-change on the terrestrial carbon balance of China. This study underlines the importance of reliable land-use and cover-change databases in global carbon budget accounting. Nature Publishing Group UK 2022-09-13 /pmc/articles/PMC9470586/ /pubmed/36100606 http://dx.doi.org/10.1038/s41467-022-32961-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yu, Zhen Ciais, Philippe Piao, Shilong Houghton, Richard A. Lu, Chaoqun Tian, Hanqin Agathokleous, Evgenios Kattel, Giri Raj Sitch, Stephen Goll, Daniel Yue, Xu Walker, Anthony Friedlingstein, Pierre Jain, Atul K. Liu, Shirong Zhou, Guoyi Forest expansion dominates China’s land carbon sink since 1980 |
title | Forest expansion dominates China’s land carbon sink since 1980 |
title_full | Forest expansion dominates China’s land carbon sink since 1980 |
title_fullStr | Forest expansion dominates China’s land carbon sink since 1980 |
title_full_unstemmed | Forest expansion dominates China’s land carbon sink since 1980 |
title_short | Forest expansion dominates China’s land carbon sink since 1980 |
title_sort | forest expansion dominates china’s land carbon sink since 1980 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9470586/ https://www.ncbi.nlm.nih.gov/pubmed/36100606 http://dx.doi.org/10.1038/s41467-022-32961-2 |
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