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Spatiotemporal Variability of Carbon Flux from Different Land Use and Land Cover Changes: A Case Study in Hubei Province, China

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  • Li Gao

    (School of Economics and Management, China University of Geosciences, Wuhan 430074, China
    Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, China)

  • Xin Wen

    (Centre d'Applications et de Recherches en Télédétection, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada)

  • Yuntong Guo

    (Department of Earth Science, University of Toronto, Toronto, ON M5S 3B1, Canada)

  • Tianming Gao

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Yi Wang

    (Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, China)

  • Lei Shen

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

Carbon sources and sinks as a result of land use and land cover changes (LUCC) are significant for global climate change. This paper aims to identify and analyze the temporal and spatial changes of land use-based carbon emission in the Hubei Province in China. We use a carbon emission coefficient to calculate carbon emissions in different land use patterns in Hubei Province from 1998 to 2009. The results indicate that regional land use is facing tremendous pressure from rapid carbon emission growth. Source:sink ratios and average carbon emission intensity values of urban land are increasing, while slow-growing carbon sinks fail to offset the rapidly expanding carbon sources. Overall, urban land carbon emissions have a strong correlation with the total carbon emissions, and will continue to increase in the future mainly due to the surge of industrialization and urbanization. Furthermore, carbon emission in regions with more developed industrial structures is much higher than in regions with less advanced industrial structures. Lastly, carbon emission per unit of GDP has declined since 2004, indicating that a series of reform measures i.e. , economic growth mode transformation and land-use structure optimization, has initiated the process of carbon emission reduction.

Suggested Citation

  • Li Gao & Xin Wen & Yuntong Guo & Tianming Gao & Yi Wang & Lei Shen, 2014. "Spatiotemporal Variability of Carbon Flux from Different Land Use and Land Cover Changes: A Case Study in Hubei Province, China," Energies, MDPI, vol. 7(4), pages 1-19, April.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:4:p:2298-2316:d:34970
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    References listed on IDEAS

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    Cited by:

    1. Gang Liu & Fan Zhang, 2022. "Land Zoning Management to Achieve Carbon Neutrality: A Case Study of the Beijing–Tianjin–Hebei Urban Agglomeration, China," Land, MDPI, vol. 11(4), pages 1-18, April.
    2. Heping Li & Tao Lin, 2022. "Do Land Use Structure Changes Impact Regional Carbon Emissions? A Spatial Econometric Study in Sichuan Basin, China," IJERPH, MDPI, vol. 19(20), pages 1-17, October.
    3. Linhe Chen & Yanhong Hang & Quanfeng Li, 2023. "Spatial-Temporal Characteristics and Influencing Factors of Carbon Emissions from Land Use and Land Cover in Black Soil Region of Northeast China Based on LMDI Simulation," Sustainability, MDPI, vol. 15(12), pages 1-25, June.
    4. Yonghua Li & Song Yao & Hezhou Jiang & Huarong Wang & Qinchuan Ran & Xinyun Gao & Xinyi Ding & Dandong Ge, 2022. "Spatial-Temporal Evolution and Prediction of Carbon Storage: An Integrated Framework Based on the MOP–PLUS–InVEST Model and an Applied Case Study in Hangzhou, East China," Land, MDPI, vol. 11(12), pages 1-22, December.
    5. Minghao Lyu & Yajie Zhou & Yongping Wei & Jinghan Li & Shuanglei Wu, 2023. "The Impact of Land Use Changes on Carbon Flux in the World’s 100 Largest Cities," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    6. Tianqi Rong & Pengyan Zhang & Wenlong Jing & Yu Zhang & Yanyan Li & Dan Yang & Jiaxin Yang & Hao Chang & Linna Ge, 2020. "Carbon Dioxide Emissions and Their Driving Forces of Land Use Change Based on Economic Contributive Coefficient (ECC) and Ecological Support Coefficient (ESC) in the Lower Yellow River Region (1995–20," Energies, MDPI, vol. 13(10), pages 1-18, May.

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