IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i20p13436-d945925.html
   My bibliography  Save this article

Simulation of Land Use and Carbon Storage Evolution in Multi-Scenario: A Case Study in Beijing-Tianjin-Hebei Urban Agglomeration, China

Author

Listed:
  • Wei Guo

    (College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China)

  • Yongjia Teng

    (College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China)

  • Yueguan Yan

    (College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China)

  • Chuanwu Zhao

    (Faculty of Geographical Sciences, Institute of Remote Sensing Science and Engineering, Beijing Normal University, Beijing 100875, China)

  • Wanqiu Zhang

    (College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China)

  • Xianglin Ji

    (College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China)

Abstract

In considering regional sustainable development, optimizing the distribution of land use and land cover (LULC) and improving terrestrial ecosystem carbon storage (CS) have emerged as major concerns. In this study, considering the synergistic effect between LULC and CS, a coupling model (named MPI) that integrates Multi-objective Optimization (MOP) model, the Patch-generating Land Use Simulation (PLUS) model, and the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model, was proposed to simulate the 2030 CS and explore its spatial-temporal characteristics in a Beijing-Tianjin-Hebei urban agglomeration (BTH). The MPI model, which combines the advantages of the above three models, can optimize the LULC structure, simulate the LULC distribution, and efficiently extract CS variation. The results indicated that: (1) LULC changes in BTH were mostly represented in transfers between cropland, forest, and grassland; (2) three different scenarios were simulated using the MPI model, named BAU (Business as usual), EDP (Ecological development priority), and EEB (Ecological and economic balanced). The simulation results of the three scenarios are in line with their respective goals, and the results are quite different; (3) cropland, water, and bare land, will be reduced, and the constant shrinking of water is a pressing issue that must be addressed; and (4) the EEB scenario balanced ecological services and economic rewards, increased the ecosystem carbon sink function, and is an efficient way to investigate “carbon neutrality”. The application of the MPI model is of reference value for exploring the optimal configuration of land resources.

Suggested Citation

  • Wei Guo & Yongjia Teng & Yueguan Yan & Chuanwu Zhao & Wanqiu Zhang & Xianglin Ji, 2022. "Simulation of Land Use and Carbon Storage Evolution in Multi-Scenario: A Case Study in Beijing-Tianjin-Hebei Urban Agglomeration, China," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13436-:d:945925
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/20/13436/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/20/13436/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daowei Zhang & Anne Stenger, 2015. "Value and valuation of forest ecosystem services," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 4(2), pages 129-140, July.
    2. Smriti Mallapaty, 2020. "How China could be carbon neutral by mid-century," Nature, Nature, vol. 586(7830), pages 482-483, October.
    3. Aibin Wu & Jianwen Zhang & Yanxia Zhao & Huitao Shen & Xiaoping Guo, 2022. "Simulation and Optimization of Supply and Demand Pattern of Multiobjective Ecosystem Services—A Case Study of the Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 14(5), pages 1-21, February.
    4. González-García, Alberto & Palomo, Ignacio & González, José A. & López, César A. & Montes, Carlos, 2020. "Quantifying spatial supply-demand mismatches in ecosystem services provides insights for land-use planning," Land Use Policy, Elsevier, vol. 94(C).
    5. Jinjin Wu & Xueru Jin & Zhe Feng & Tianqian Chen & Chenxu Wang & Dingrao Feng & Jiaqi Lv, 2021. "Relationship of Ecosystem Services in the Beijing–Tianjin–Hebei Region Based on the Production Possibility Frontier," Land, MDPI, vol. 10(8), pages 1-21, August.
    6. Chen Jun & Yifang Ban & Songnian Li, 2014. "Open access to Earth land-cover map," Nature, Nature, vol. 514(7523), pages 434-434, October.
    7. Yang, Yuanyuan & Bao, Wenkai & Liu, Yansui, 2020. "Scenario simulation of land system change in the Beijing-Tianjin-Hebei region," Land Use Policy, Elsevier, vol. 96(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wenqiang Zhou & Jinlong Wang & Yu Han & Ling Yang & Huafei Que & Rong Wang, 2023. "Scenario Simulation of the Relationship between Land-Use Changes and Ecosystem Carbon Storage: A Case Study in Dongting Lake Basin, China," IJERPH, MDPI, vol. 20(6), pages 1-19, March.

    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. Xuebin Zhang & Litang Yao & Jun Luo & Wenjuan Liang, 2022. "Exploring Changes in Land Use and Landscape Ecological Risk in Key Regions of the Belt and Road Initiative Countries," Land, MDPI, vol. 11(6), pages 1-22, June.
    2. Xuemao Zhang & Binggeng Xie & Junhan Li & Chuan Yuan, 2023. "Spatiotemporal Distribution and Driving Force Analysis of the Ecosystem Service Value in the Fujiang River Basin, China," Land, MDPI, vol. 12(2), pages 1-16, February.
    3. Lu Jiao & Rui Yang & Yinling Zhang & Jian Yin & Jiayu Huang, 2022. "The Evolution and Determinants of Ecosystem Services in Guizhou—A Typical Karst Mountainous Area in Southwest China," Land, MDPI, vol. 11(8), pages 1-23, July.
    4. Zhenjun Yan & Yirong Wang & Xu Hu & Wen Luo, 2023. "Assessment and Enhancement of Ecosystem Service Supply Efficiency Based on Production Possibility Frontier: A Case Study of the Loess Plateau in Northern Shaanxi," Sustainability, MDPI, vol. 15(19), pages 1-20, September.
    5. Qian Zhou & Feng Gui & Benxuan Zhao & Jingyi Liu & Huiwen Cai & Kaida Xu & Sheng Zhao, 2024. "Examining the Social Costs of Carbon Emissions and the Ecosystem Service Value in Island Ecosystems: An Analysis of the Zhoushan Archipelago," Sustainability, MDPI, vol. 16(2), pages 1-19, January.
    6. Remme, Roy P. & Meacham, Megan & Pellowe, Kara E. & Andersson, Erik & Guerry, Anne D. & Janke, Benjamin & Liu, Lingling & Lonsdorf, Eric & Li, Meng & Mao, Yuanyuan & Nootenboom, Christopher & Wu, Tong, 2024. "Aligning nature-based solutions with ecosystem services in the urban century," Ecosystem Services, Elsevier, vol. 66(C).
    7. Qianning Zhang & Zhu Xu, 2021. "Fully Portraying Patch Area Scaling with Resolution: An Analytics and Descriptive Statistics-Combined Approach," Land, MDPI, vol. 10(3), pages 1-21, March.
    8. Ning Xiang & Limao Wang & Shuai Zhong & Chen Zheng & Bo Wang & Qiushi Qu, 2021. "How Does the World View China’s Carbon Policy? A Sentiment Analysis on Twitter Data," Energies, MDPI, vol. 14(22), pages 1-17, November.
    9. Yajing Shao & Xuefeng Yuan & Chaoqun Ma & Ruifang Ma & Zhaoxia Ren, 2020. "Quantifying the Spatial Association between Land Use Change and Ecosystem Services Value: A Case Study in Xi’an, China," Sustainability, MDPI, vol. 12(11), pages 1-20, May.
    10. Idiano D'Adamo & Massimo Gastaldi & Ilhan Ozturk, 2023. "The sustainable development of mobility in the green transition: Renewable energy, local industrial chain, and battery recycling," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(2), pages 840-852, April.
    11. Irawan, Chandra Ade & Jones, Dylan & Hofman, Peter S. & Zhang, Lina, 2023. "Integrated strategic energy mix and energy generation planning with multiple sustainability criteria and hierarchical stakeholders," European Journal of Operational Research, Elsevier, vol. 308(2), pages 864-883.
    12. Zhang, Zhonglian & Yang, Xiaohui & Li, Moxuan & Deng, Fuwei & Xiao, Riying & Mei, Linghao & Hu, Zecheng, 2023. "Optimal configuration of improved dynamic carbon neutral energy systems based on hybrid energy storage and market incentives," Energy, Elsevier, vol. 284(C).
    13. Zhixin Zhang & Min Chen & Teng Zhong & Rui Zhu & Zhen Qian & Fan Zhang & Yue Yang & Kai Zhang & Paolo Santi & Kaicun Wang & Yingxia Pu & Lixin Tian & Guonian Lü & Jinyue Yan, 2023. "Carbon mitigation potential afforded by rooftop photovoltaic in China," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    14. Hao Wang & Huimin Yan & Yunfeng Hu & Yue Xi & Yichen Yang, 2022. "Consistency and Accuracy of Four High-Resolution LULC Datasets—Indochina Peninsula Case Study," Land, MDPI, vol. 11(5), pages 1-19, May.
    15. Jingyi Wang & Chen Weng & Zhen Wang & Chunming Li & Tingting Wang, 2022. "What Constitutes the High-Quality Soundscape in Human Habitats? Utilizing a Random Forest Model to Explore Soundscape and Its Geospatial Factors Behind," IJERPH, MDPI, vol. 19(21), pages 1-23, October.
    16. Yuhanis Ladewi & Meiryani Meiryani & Ahmad Syamil & Agustini Agustini & Agustinus Winoto, 2024. "The Relation between Climate Change and Carbon Emission Trading: A Bibliometric Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 14(1), pages 686-697, January.
    17. Huangling Gu & Yan Liu & Hao Xia & Zilong Li & Liyuan Huang & Yanjia Zeng, 2023. "Temporal and Spatial Differences in CO 2 Equivalent Emissions and Carbon Compensation Caused by Land Use Changes and Industrial Development in Hunan Province," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    18. Qing Yang & Zhanqiang Chang & Chou Xie & Chaoyong Shen & Bangsen Tian & Haoran Fang & Yihong Guo & Yu Zhu & Daoqin Zhou & Xin Yao & Guanwen Chen & Tao Xie, 2023. "Combining Soil Moisture and MT-InSAR Data to Evaluate Regional Landslide Susceptibility in Weining, China," Land, MDPI, vol. 12(7), pages 1-34, July.
    19. Jiang, Hou & Yao, Ling & Lu, Ning & Qin, Jun & Zhang, Xiaotong & Liu, Tang & Zhang, Xingxing & Zhou, Chenghu, 2024. "Exploring the optimization of rooftop photovoltaic scale and spatial layout under curtailment constraints," Energy, Elsevier, vol. 293(C).
    20. Fangfang Xun & Yecui Hu & Ling Lv & Jinhui Tong, 2017. "Farmers’ Awareness of Ecosystem Services and the Associated Policy Implications," Sustainability, MDPI, vol. 9(9), pages 1-13, September.

    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:14:y:2022:i:20:p:13436-:d:945925. 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.