IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i13p5560-d1425176.html
   My bibliography  Save this article

Partitioned Simulation of Land Use Change Based on Carbon Neutrality Zoning and Its Multiscale Effect on Carbon Emissions in the Xia–Zhang–Quan Metropolitan Circle, China

Author

Listed:
  • Zhen Li

    (Chinese Academy of Environmental Planning, Beijing 100041, China)

  • Ding Wen

    (South China Institute of Environmental Science, Ministry of Ecology and Environment, Guangzhou 510530, China)

  • Bo Wang

    (Chinese Academy of Environmental Planning, Beijing 100041, China)

  • Ning Li

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

Abstract

Urbanization significantly affects the global carbon balance. Therefore, clarifying the effect of urbanization-induced land use change on carbon emissions and proposing the zonal-based policy implementation became crucial. In this study, we estimated the future land use carbon emissions in three scenarios by adopting the partitioned Patch-generating Land Use Simulation Model (PLUS) in the Xiamen–Zhangzhou–Quanzhou (XZQ) metropolitan circle, China. The results showed that (1) the region could be divided into two sub-areas (carbon sink function zone and high-carbon optimization zone); the partitioned PLUS model had a higher accuracy in the developed areas, whereas it had a lower accuracy in the undeveloped areas; (2) the main characteristic of land use change was the construction on the land that was previously farmland, spanning 260.2 km 2 ; the land used for construction would continue to expand, with 215.5 km 2 (8.2%), 261.0 km 2 (9.9%), and 129.5 km 2 (4.9%) in the natural development scenario (ND), economic development scenario (ED), and carbon neutrality scenario (CN), respectively; (3) the amount of carbon emissions would increase by 196.2 × 10 4 tons and 235.4 × 10 4 tons in the ND and ED, respectively, whereas, it would decrease by 49.0 × 10 4 tons in the CN. This study made a beneficial attempt at partitioning based on carbon neutrality by improving the PLUS model simulation results and carbon emission assessment, which could provide methods and references for future similar studies. The findings suggest a method for the coordinated development between the carbon sink function zone and the high-carbon optimization zone. In addition, comprehensively understanding the land use change and its effects on carbon emissions, from this study, could provide important insights into carbon neutrality and regional sustainable development for urban planners and policymakers. In future research, the zoning research could be conducted at a finer scale, since the partition results were relatively coarse in this study.

Suggested Citation

  • Zhen Li & Ding Wen & Bo Wang & Ning Li, 2024. "Partitioned Simulation of Land Use Change Based on Carbon Neutrality Zoning and Its Multiscale Effect on Carbon Emissions in the Xia–Zhang–Quan Metropolitan Circle, China," Sustainability, MDPI, vol. 16(13), pages 1-18, June.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5560-:d:1425176
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/13/5560/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/13/5560/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Han & Lu, Siying & Lu, Bo & Nie, Xin, 2021. "Overt and covert: The relationship between the transfer of land development rights and carbon emissions," Land Use Policy, Elsevier, vol. 108(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhaoxue Gai & Ying Xu & Guoming Du, 2023. "Spatio-Temporal Differentiation and Driving Factors of Carbon Storage in Cultivated Land-Use Transition," Sustainability, MDPI, vol. 15(5), pages 1-16, February.
    2. Huang, Yong & Elahi, Ehsan & You, Jiansheng & Sheng, Yuhua & Li, Jinwei & Meng, Anchan, 2024. "Land use policy implications of demographic shifts: Analyzing the impact of aging rural populations on agricultural carbon emissions in China," Land Use Policy, Elsevier, vol. 147(C).
    3. Li, Jintao & Dong, Haoran & Li, Shaoxing, 2024. "Economic development and optimal allocation of land use in ecological emigration area in China," Land Use Policy, Elsevier, vol. 142(C).
    4. Yuan Tian & Xiuyi Shi, 2024. "Analysis of Dynamic Evolution and Driving Factors of Low-Carbon Utilization Efficiency of Cultivated Land in China," Agriculture, MDPI, vol. 14(4), pages 1-26, March.
    5. Meseret C. Abate & Zhen He & Baozhong Cai & Yuangji Huang & Geremew Betelhemabraham & Tesfaye Bayu & Amsalu K. Addis, 2024. "Environmental Impact of Agricultural Land Transfer in China: A Systematic Review on Sustainability," Sustainability, MDPI, vol. 16(15), pages 1-25, July.
    6. Weiguo Fan & Wei Yao & Kehan Chen, 2023. "Integrating Energy Systems Language and Emergy Approach to Simulate and Analyze the Energy Flow Process of Land Transfer," Land, MDPI, vol. 12(5), pages 1-24, May.
    7. Guoqun Ma & Danyang Lv & Tuanbiao Jiang & Yuxi Luo, 2023. "Can Land Transfer Promote Agricultural Green Transformation? The Empirical Evidence from China," Sustainability, MDPI, vol. 15(18), pages 1-17, September.
    8. Meseret Abatechanie & Baozhong Cai & Fang Shi & Yuanji Huang, 2022. "The Environmental and Socio-Economic Effect of Farmland Management Right Transfer in China: A Systematic Review," Land, MDPI, vol. 11(8), pages 1-21, August.
    9. Jian Li & Lingyan Jiang & Shuhua Zhang, 2024. "How Land Transfer Affects Agricultural Carbon Emissions: Evidence from China," Land, MDPI, vol. 13(9), pages 1-17, August.
    10. Qiuyue Xia & Lu Li & Bin Zhang & Jie Dong, 2022. "Nonlinear Influence of Land-Use Transition on Carbon Emission Transfer: A Threshold Regression Analysis of the Middle Reaches of the Yangtze River in China," Land, MDPI, vol. 11(9), pages 1-24, September.
    11. Ou, Yifu & Bao, Zhikang & Ng, S. Thomas & Song, Weize & Chen, Ke, 2024. "Land-use carbon emissions and built environment characteristics: A city-level quantitative analysis in emerging economies," Land Use Policy, Elsevier, vol. 137(C).
    12. Nie, Xin & Li, Xiaojuan & Lyu, Chengyu & Su, Yanglan & Wang, Han, 2024. "Can ecological compensation based on the transfer of development rights (TDR) improve ecosystem service value? A multi-scenario simulation," Land Use Policy, Elsevier, vol. 138(C).
    13. Han Wang & Yujie Jin & Xingming Hong & Fuan Tian & Jianxian Wu & Xin Nie, 2022. "Integrating IPAT and CLUMondo Models to Assess the Impact of Carbon Peak on Land Use," Land, MDPI, vol. 11(4), pages 1-16, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5560-:d:1425176. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.