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Simulation of Vegetation Carbon Sink of Arbor Forest and Carbon Mitigation of Forestry Bioenergy in China

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  • Xiaozhe Ma

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
    Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization, Henan University, Kaifeng 475001, China
    Regional Planning and Development Center, Henan University, Kaifeng 475004, China)

  • Leying Wu

    (Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization, Henan University, Kaifeng 475001, China)

  • Yongbin Zhu

    (Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China)

  • Jing Wu

    (Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China)

  • Yaochen Qin

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China
    Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization, Henan University, Kaifeng 475001, China)

Abstract

Mitigating carbon emissions through forest carbon sinks is one of the nature-based solutions to global warming. Forest ecosystems play a role as a carbon sink and an important source of bioenergy. China’s forest ecosystems have significantly contributed to mitigating carbon emissions. However, there are relatively limited quantitative studies on the carbon mitigation effects of forestry bioenergy in China, so this paper simulated the carbon sequestration of Chinese arbor forest vegetation from 2018 to 2060 based on the CO2FIX model and accounted for the carbon emission reduction brought about by substituting forestry bioenergy for fossil energy, which is important for the formulation of policies to tackle climate change in the Chinese forestry sector. The simulation results showed that the carbon storage of all arbor forest vegetation in China increased year by year from 2018 to 2060, and, overall, it behaved as a carbon sink, with the annual carbon sink fluctuating in the region of 250 MtC/a. For commercial forests that already existed in 2018, the emission reduction effected by substituting forestry bioenergy for fossil energy was significant. The average annual carbon reduction in terms of bioenergy by using traditional and improved stoves reached 36.1 and 69.3 MtC/a, respectively. Overall, for China’s existing arbor forests, especially commercial forests, forestry bioenergy should be utilized more efficiently to further exploit its emission reduction potential. For future newly planted forests in China, new afforestation should focus on ecological public welfare forests, which are more beneficial as carbon sinks.

Suggested Citation

  • Xiaozhe Ma & Leying Wu & Yongbin Zhu & Jing Wu & Yaochen Qin, 2022. "Simulation of Vegetation Carbon Sink of Arbor Forest and Carbon Mitigation of Forestry Bioenergy in China," IJERPH, MDPI, vol. 19(20), pages 1-18, October.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13507-:d:946594
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    References listed on IDEAS

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    Cited by:

    1. Kaili Cheng & Jing Wu & Xiaozhe Ma & Leying Wu, 2023. "Simulation of Carbon Sink of Arbor Forest Vegetation in Henan Province of China Based on CO2FIX Model," Land, MDPI, vol. 12(1), pages 1-18, January.
    2. Huanhuan Xiong & Xuejing Wang & Xinrui Hu, 2023. "Research on the Duality of China’s Marine Fishery Carbon Emissions and Its Coordination with Economic Development," IJERPH, MDPI, vol. 20(2), pages 1-17, January.
    3. Hongyi Liu & Tianyu He, 2023. "Sustainable Management of Land Resources: The Case of China’s Forestry Carbon Sink Mechanism," Land, MDPI, vol. 12(6), pages 1-18, June.
    4. Dan Yu & Caihong Zhang & Siyi Wang & Lan Zhang, 2023. "Evolutionary Game and Simulation Analysis of Power Plant and Government Behavior Strategies in the Coupled Power Generation Industry of Agricultural and Forestry Biomass and Coal," Energies, MDPI, vol. 16(3), pages 1-19, February.

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