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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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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
Descripción
Sumario: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.