IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i10p1903-d1257134.html
   My bibliography  Save this article

Spatial Optimization of Land Use Pattern toward Carbon Mitigation Targets—A Study in Guangzhou

Author

Listed:
  • Shouyi Ding

    (Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510060, China
    Guangzhou Collaborative Innovation Center of Natural Resources Planning and Marine Technology, Guangzhou 510060, China
    Guangdong Enterprise Key Laboratory for Urban Sensing Monitoring and Early Warning, Guangzhou 510060, China)

  • Shumi Liu

    (Department of Land Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Mingxin Chang

    (Department of Land Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Hanwei Lin

    (Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510060, China
    Guangzhou Collaborative Innovation Center of Natural Resources Planning and Marine Technology, Guangzhou 510060, China
    Guangdong Enterprise Key Laboratory for Urban Sensing Monitoring and Early Warning, Guangzhou 510060, China)

  • Tianyu Lv

    (Guangzhou Collaborative Innovation Center of Natural Resources Planning and Marine Technology, Guangzhou 510060, China)

  • Yujing Zhang

    (Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou 510060, China
    Guangzhou Collaborative Innovation Center of Natural Resources Planning and Marine Technology, Guangzhou 510060, China
    Guangdong Enterprise Key Laboratory for Urban Sensing Monitoring and Early Warning, Guangzhou 510060, China)

  • Chen Zeng

    (Department of Land Management, Huazhong Agricultural University, Wuhan 430070, China)

Abstract

Global climate change is one of the major challenges facing the world, and the spatial optimization of land use patterns has been regarded as critical in realizing carbon mitigation. In this study, the linear programming model and the Markov Chain model are integrated in different scenarios to optimize land use structure for low-carbon development. The land use pattern is then simulated through the adjusted convolutional neural network and cellular automata model, taking Guangzhou City as the case study area. The results reveal that construction land with high economic efficiency will increase its area, and the reaming types will experience slight changes, in 2035 in the natural development scenario and the economic priority scenario. Ecological land such as forest land, grassland, and water is partly occupied by construction land in the urban–rural fringe areas. The total carbon emissions decrease by 2.32% and 1.57% in these two scenarios. In the low-carbon-oriented scenario, the expansion of construction land is restricted, and the forest land and grassland undergo great expansion. The total carbon emission decreases by 18.95%—a figure much larger than that in the natural development scenario and the economic priority scenario. Our paper embeds the needs and constraints in land spatial planning into the spatial optimization of the land use pattern, which provides valuable references for low-carbon city development in the future.

Suggested Citation

  • Shouyi Ding & Shumi Liu & Mingxin Chang & Hanwei Lin & Tianyu Lv & Yujing Zhang & Chen Zeng, 2023. "Spatial Optimization of Land Use Pattern toward Carbon Mitigation Targets—A Study in Guangzhou," Land, MDPI, vol. 12(10), pages 1-19, October.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:10:p:1903-:d:1257134
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/10/1903/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/10/1903/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Jiasheng & Guo, Xiaomin & Chuai, Xiaowei & Xie, Fangjian & Yang, Feng & Gao, Runyi & Ji, Xuepeng, 2021. "Reexamine China’s terrestrial ecosystem carbon balance under land use-type and climate change," Land Use Policy, Elsevier, vol. 102(C).
    2. Chen, Chengjing & Liu, Yihua, 2021. "Spatiotemporal changes of ecosystem services value by incorporating planning policies: A case of the Pearl River Delta, China," Ecological Modelling, Elsevier, vol. 461(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. Qing Liu & Dongdong Yang & Lei Cao & Bruce Anderson, 2022. "Assessment and Prediction of Carbon Storage Based on Land Use/Land Cover Dynamics in the Tropics: A Case Study of Hainan Island, China," Land, MDPI, vol. 11(2), pages 1-24, February.
    2. Yue Han & Xiaosan Ge, 2023. "Spatial–Temporal Characteristics and Influencing Factors on Carbon Emissions from Land Use in Suzhou, the World’s Largest Industrial City in China," Sustainability, MDPI, vol. 15(18), pages 1-18, September.
    3. Yang Zhang & Nazhalati Naerkezi & Yun Zhang & Bo Wang, 2024. "Multi-Scenario Land Use/Cover Change and Its Impact on Carbon Storage Based on the Coupled GMOP-PLUS-InVEST Model in the Hexi Corridor, China," Sustainability, MDPI, vol. 16(4), pages 1-22, February.
    4. Hui Wen & Yi Li & Zirong Li & Xiaoxue Cai & Fengxia Wang, 2022. "Spatial Differentiation of Carbon Budgets and Carbon Balance Zoning in China Based on the Land Use Perspective," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    5. Wenyi Qiao & Weihua Guan & Xianjin Huang, 2021. "Assessing the Potential Impact of Land Use on Carbon Storage Driven by Economic Growth: A Case Study in Yangtze River Delta Urban Agglomeration," IJERPH, MDPI, vol. 18(22), pages 1-20, November.
    6. Hui Yang & Jiansheng Cao & Xianglong Hou, 2023. "Study on the Evaluation and Assessment of Ecosystem Service Spatial Differentiation at Different Scales in Mountainous Areas around the Beijing–Tianjin–Hebei Region, China," IJERPH, MDPI, vol. 20(2), pages 1-21, January.
    7. Lihan Cui & Wenwen Tang & Sheng Zheng & Ramesh P. Singh, 2022. "Ecological Protection Alone Is Not Enough to Conserve Ecosystem Carbon Storage: Evidence from Guangdong, China," Land, MDPI, vol. 12(1), pages 1-16, December.
    8. Yanbo, Qu & Shilei, Wang & Yaya, Tian & Guanghui, Jiang & Tao, Zhou & Liang, Meng, 2023. "Territorial spatial planning for regional high-quality development – An analytical framework for the identification, mediation and transmission of potential land utilization conflicts in the Yellow Ri," Land Use Policy, Elsevier, vol. 125(C).
    9. Zhipeng Lai & Chengjing Chen & Jianguo Chen & Zhuo Wu & Fang Wang & Shaoying Li, 2022. "Multi-Scenario Simulation of Land-Use Change and Delineation of Urban Growth Boundaries in County Area: A Case Study of Xinxing County, Guangdong Province," Land, MDPI, vol. 11(9), pages 1-18, September.
    10. Yuxin Fan & Fang Wei, 2022. "Contributions of Natural Carbon Sink Capacity and Carbon Neutrality in the Context of Net-Zero Carbon Cities: A Case Study of Hangzhou," Sustainability, MDPI, vol. 14(5), pages 1-20, February.
    11. Shuxuan Xing & Shengfu Yang & Haonan Sun & Yi Wang, 2023. "Spatiotemporal Changes of Terrestrial Carbon Storage in Rapidly Urbanizing Areas and Their Influencing Factors: A Case Study of Wuhan, China," Land, MDPI, vol. 12(12), pages 1-18, December.

    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:jlands:v:12:y:2023:i:10:p:1903-:d:1257134. 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.