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Carbon sequestration capacity of terrestrial vegetation in China based on satellite data

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  • Jiandong Chen
  • Ping Wang
  • Ming Gao
  • Wenxuan Hou
  • Haiming Liao

Abstract

Achieving carbon neutrality depends on carbon emission reduction and sequestration. However, research on vegetative carbon sequestration in China remains preliminary. In this study, we calculated the total carbon sequestration of terrestrial vegetation and that of different vegetation types in China from 2001–2019 using satellite data. Total vegetative carbon sequestration slowly increased but its increase was significantly lower than that of carbon emissions over the same period. Provinces with the strongest carbon sequestration capacity were mainly distributed in the south, whereas those with the lowest capacity were mainly in the west of Heihe-Tengchong Line. Woody grassland achieved the largest amount of carbon sequestration and grassland experienced the fastest growth. As sequestration ability varies by vegetation type and region, we suggest adopting a holistic regional approach that optimizes local vegetation growth environments, improves ecological compensation protection mechanisms (especially in urban areas) and develops other carbon sequestration pathways.

Suggested Citation

  • Jiandong Chen & Ping Wang & Ming Gao & Wenxuan Hou & Haiming Liao, 2022. "Carbon sequestration capacity of terrestrial vegetation in China based on satellite data," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 20(1), pages 109-124, January.
  • Handle: RePEc:taf:jocebs:v:20:y:2022:i:1:p:109-124
    DOI: 10.1080/14765284.2021.2021488
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    Cited by:

    1. Zuoming Zhang & Xiaoying Wan & Kaixi Sheng & Hanyue Sun & Lei Jia & Jiachao Peng, 2023. "Impact of Carbon Sequestration by Terrestrial Vegetation on Economic Growth: Evidence from Chinese County Satellite Data," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    2. Xinyi Chen & Yuyang Wang & Tao Huang & Zhengsong Lin, 2022. "Research on Digital Experience and Satisfaction Preference of Plant Community Design in Urban Green Space," Land, MDPI, vol. 11(9), pages 1-17, August.
    3. Wang, Hanjie & Yu, Xiaohua, 2023. "Carbon dioxide emission typology and policy implications: Evidence from machine learning," China Economic Review, Elsevier, vol. 78(C).

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