Carbon sequestration of Chinese forests from 2010 to 2060: spatiotemporal dynamics and its regulatory strategies
Cai W.; He N.; Li M.; Xu L.; Wang L.; Zhu J.; Zeng N.; Yan P.; Si G.; Zhang X.; Cen X.; Yu G.; Sun O.J.
Date Issued2022
Other AbstractForestation is important for sequestering atmospheric carbon, and it is a cost-effective and nature-based solution (NBS) for mitigating global climate change. Here, under the assumption of forestation in the potential plantable lands, we used the forest carbon sequestration (FCS) model and field survey involving 3365 forest plots to assess the carbon sequestration rate (CSR) of Chinese existing and new forestation forests from 2010 to 2060 under three forestation and three climate scenarios. Without considering the influence of extreme events and human disturbance, the estimated average CSR in Chinese forests was 0.358 ± 0.016 Pg C a–1, with partitioning to biomass (0.211 ± 0.016 Pg C a–1) and soil (0.147 ± 0.005 Pg C a–1), respectively. The existing forests account for approximately 93.5% of the CSR, which will peak near 2035, and decreasing trend was present overall after 2035. After 2035, effective tending management is required to maintain the high CSR level, such as selective cutting, thinning, and approximate disturbance. However, new forestation from 2015 in the potential plantable lands would play a minimal role in additional CSR increases. In China, the CSR is generally higher in the Northeast, Southwest, and Central-South, and lower in the Northwest. Considering the potential losses through deforestation and logging, it is realistically estimated that CSR in Chinese forests would remain in the range of 0.161–0.358 Pg C a–1 from 2010 to 2060. Overall, forests have the potential to offset 14.1% of the national anthropogenic carbon emissions in China over the period of 2010–2060, significantly contributing to the carbon neutrality target of 2060 with the implementation of effective management strategies for existing forests and expansion of forestation. © 2022
enkeywordsCarbon neutrality; Carbon sequestration; Forest; Forestation; Storage
scopus keywordsCarbon; Carbon capture; Climate change; Climate models; Cost effectiveness; Atmospheric carbon; Carbon neutralities; Carbon sequestration; Chinese forests; Cost effective; Forest; Forest carbon sequestration; Forestation; Global climate changes; Spatio-temporal dynamics; Deforestation
journalScience Bulletin
Document Type期刊论文
AffiliationSchool of Ecology and Nature Conservation, Beijing Forestry University, Beijing, 100083, China; Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China; Beijing Representative Office, the Nature Conservancy, Beijing, 100600, China; Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing, 100091, China; Center for Ecological Research, Northeast Forestry University, Harbin, 150040, China
Recommended Citation
GB/T 7714
Cai W.,He N.,Li M.,et al. Carbon sequestration of Chinese forests from 2010 to 2060: spatiotemporal dynamics and its regulatory strategies[J],2022.
APA Cai W..,He N..,Li M..,Xu L..,Wang L..,...&Sun O.J..(2022).Carbon sequestration of Chinese forests from 2010 to 2060: spatiotemporal dynamics and its regulatory strategies.Science Bulletin.
MLA Cai W.,et al."Carbon sequestration of Chinese forests from 2010 to 2060: spatiotemporal dynamics and its regulatory strategies".Science Bulletin (2022).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Cai W.]'s Articles
[He N.]'s Articles
[Li M.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Cai W.]'s Articles
[He N.]'s Articles
[Li M.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Cai W.]'s Articles
[He N.]'s Articles
[Li M.]'s Articles
Terms of Use
No data!
Social Bookmark/Share

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.