IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i18p4909-d265381.html
   My bibliography  Save this article

Dynamic Simulation of Land Use Change of the Upper and Middle Streams of the Luan River, Northern China

Author

Listed:
  • Xia Xu

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    Center for Human-Environment System Sustainability (CHESS), Beijing Normal University, Beijing 100875, China)

  • Mengxi Guan

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    Center for Human-Environment System Sustainability (CHESS), Beijing Normal University, Beijing 100875, China)

  • Honglei Jiang

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    Center for Human-Environment System Sustainability (CHESS), Beijing Normal University, Beijing 100875, China)

  • Lingfei Wang

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    Center for Human-Environment System Sustainability (CHESS), Beijing Normal University, Beijing 100875, China)

Abstract

Climatic, socio-economic, geophysical, and human activity factors, among others, influence land use patterns. However, these driving factors also have different relationships with each other. Combining machine learning methods and statistical models is a good way to simulate the dominant land use types. The Luan River basin is located in a farming-pastoral transitional zone and is an important ecological barrier between Beijing and Tianjin. In this study, we predicted future land use and land cover changes from 2010 to 2020 in the Luan River’s upper and middle reaches under three scenarios—the natural scenario, the ecological scenario, and the sustainable scenario. The results indicate that cultivated land will decrease while the forested areas will increase quantitatively in the future. Built-up areas would increase quickly in the natural scenario, and augmented expansion of forest would be the main features of land use changes in both the ecological scenario and the sustainable scenario. Regarding the spatial pattern, different land use patterns will be aggregated and patches will become larger. Our findings for the scenario analysis of land use changes can provide a reference case for sustainable land use planning and management in the upper and middle Luan River basin.

Suggested Citation

  • Xia Xu & Mengxi Guan & Honglei Jiang & Lingfei Wang, 2019. "Dynamic Simulation of Land Use Change of the Upper and Middle Streams of the Luan River, Northern China," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:4909-:d:265381
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/18/4909/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/18/4909/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. van Vliet, Jasper & Bregt, Arnold K. & Hagen-Zanker, Alex, 2011. "Revisiting Kappa to account for change in the accuracy assessment of land-use change models," Ecological Modelling, Elsevier, vol. 222(8), pages 1367-1375.
    2. Fujita, Masahisa & Krugman, Paul & Mori, Tomoya, 1999. "On the evolution of hierarchical urban systems1," European Economic Review, Elsevier, vol. 43(2), pages 209-251, February.
    3. Ron Janssen & Marjan van Herwijnen & Theodor J Stewart & Jeroen C J H Aerts, 2008. "Multiobjective Decision Support for Land-Use Planning," Environment and Planning B, , vol. 35(4), pages 740-756, August.
    4. Honglei Jiang & Xia Xu & Mengxi Guan & Lingfei Wang & Yongmei Huang & Yinghui Liu, 2019. "Simulation of Spatiotemporal Land Use Changes for Integrated Model of Socioeconomic and Ecological Processes in China," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    5. Jeroen Aerts & Marjan Van Herwijnen & Ron Janssen & Theodor Stewart, 2005. "Evaluating Spatial Design Techniques for Solving Land-use Allocation Problems," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 48(1), pages 121-142.
    6. Yu Zhang & Pengcheng Wang & Tianwei Wang & Chongfa Cai & Zhaoxia Li & Mingjun Teng, 2018. "Scenarios Simulation of Spatio-Temporal Land Use Changes for Exploring Sustainable Management Strategies," Sustainability, MDPI, vol. 10(4), pages 1-17, March.
    7. Liu, Xiaoping & Ou, Jinpei & Li, Xia & Ai, Bin, 2013. "Combining system dynamics and hybrid particle swarm optimization for land use allocation," Ecological Modelling, Elsevier, vol. 257(C), pages 11-24.
    8. Ruci Wang & Ahmed Derdouri & Yuji Murayama, 2018. "Spatiotemporal Simulation of Future Land Use/Cover Change Scenarios in the Tokyo Metropolitan Area," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
    9. de Freitas, Marcos Wellausen Dias & Muñoz, Pablo & dos Santos, João Roberto & Alves, Diógenes Salas, 2018. "Land use and cover change modelling and scenarios in the Upper Uruguay Basin (Brazil)," Ecological Modelling, Elsevier, vol. 384(C), pages 128-144.
    10. Abdus Samie & Xiangzheng Deng & Siqi Jia & Dongdong Chen, 2017. "Scenario-Based Simulation on Dynamics of Land-Use-Land-Cover Change in Punjab Province, Pakistan," Sustainability, MDPI, vol. 9(8), pages 1-17, July.
    11. Ying Li & Suiliang Huang, 2015. "Landscape Ecological Risk Responses to Land Use Change in the Luanhe River Basin, China," Sustainability, MDPI, vol. 7(12), pages 1-22, December.
    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. Ayşe Çağlıyan & Dündar Dağlı, 2022. "Monitoring Land Use Land Cover Changes and Modelling of Urban Growth Using a Future Land Use Simulation Model (FLUS) in Diyarbakır, Turkey," Sustainability, MDPI, vol. 14(15), pages 1-24, July.
    2. Yong Lai & Guangqing Huang & Shengzhong Chen & Shaotao Lin & Wenjun Lin & Jixin Lyu, 2021. "Land Use Dynamics and Optimization from 2000 to 2020 in East Guangdong Province, China," Sustainability, MDPI, vol. 13(6), pages 1-24, March.
    3. Sai Hu & Longqian Chen & Long Li & Ting Zhang & Lina Yuan & Liang Cheng & Jia Wang & Mingxin Wen, 2020. "Simulation of Land Use Change and Ecosystem Service Value Dynamics under Ecological Constraints in Anhui Province, China," IJERPH, MDPI, vol. 17(12), pages 1-21, June.
    4. Yichen Zhang & Chuntao Li & Lang Zhang & Jinao Liu & Ruonan Li, 2022. "Spatial Simulation of Land-Use Development of Feixi County, China, Based on Optimized Productive–Living–Ecological Functions," Sustainability, MDPI, vol. 14(10), pages 1-33, May.

    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. Chenhao Zhu & Jonah Susskind & Mario Giampieri & Hazel Backus O’Neil & Alan M. Berger, 2023. "Optimizing Sustainable Suburban Expansion with Autonomous Mobility through a Parametric Design Framework," Land, MDPI, vol. 12(9), pages 1-31, September.
    2. Yao Lu & Min Zhou & Guoliang Ou & Zuo Zhang & Li He & Yuxiang Ma & Chaonan Ma & Jiating Tu & Siqi Li, 2021. "Sustainable Land-Use Allocation Model at a Watershed Level under Uncertainty," IJERPH, MDPI, vol. 18(24), pages 1-19, December.
    3. Honglei Jiang & Xia Xu & Lingfei Wang & Tong Zhang, 2021. "Integrating Ecosystem Service Values and Economic Benefits for Sustainable Land Use Management in Semi-Arid Regions in Northern China," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    4. Yu Zhang & Pengcheng Wang & Tianwei Wang & Chongfa Cai & Zhaoxia Li & Mingjun Teng, 2018. "Scenarios Simulation of Spatio-Temporal Land Use Changes for Exploring Sustainable Management Strategies," Sustainability, MDPI, vol. 10(4), pages 1-17, March.
    5. Basse, Reine Maria, 2013. "A constrained cellular automata model to simulate the potential effects of high-speed train stations on land-use dynamics in trans-border regions," Journal of Transport Geography, Elsevier, vol. 32(C), pages 23-37.
    6. Honglei Jiang & Xia Xu & Mengxi Guan & Lingfei Wang & Yongmei Huang & Yinghui Liu, 2019. "Simulation of Spatiotemporal Land Use Changes for Integrated Model of Socioeconomic and Ecological Processes in China," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    7. Yanting Tang & Jinlong Gao & Wen Chen, 2022. "The Spatial-Temporal Evolution of Population in the Yangtze River Delta, China: An Urban Hierarchy Perspective," Land, MDPI, vol. 11(10), pages 1-15, October.
    8. Guadalupe Azuara García & Efrén Palacios Rosas & Alfonso García-Ferrer & Pilar Montesinos Barrios, 2017. "Multi-Objective Spatial Optimization: Sustainable Land Use Allocation at Sub-Regional Scale," Sustainability, MDPI, vol. 9(6), pages 1-21, June.
    9. Tabuchi, Takatoshi, 2014. "Historical trends of agglomeration to the capital region and new economic geography," Regional Science and Urban Economics, Elsevier, vol. 44(C), pages 50-59.
    10. Takatoshi Tabuchi & Jacques-François Thisse, 2006. "Regional Specialization, Urban Hierarchy, And Commuting Costs," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(4), pages 1295-1317, November.
    11. Carl Gaigné & Jacques-François Thisse, 2013. "New Economic Geography and the City," Working Papers SMART 13-02, INRAE UMR SMART.
    12. Youjung Kim & Galen Newman, 2019. "Climate Change Preparedness: Comparing Future Urban Growth and Flood Risk in Amsterdam and Houston," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    13. Fan, Xiaomin & Xu, Yingzhi, 2023. "Does high-speed railway promote urban innovation? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    14. Hinh T. Dinh, 2014. "The Practice of Industrial Policy - Lessons for Africa: Case Studies of Decentralized Co-ordination in China," WIDER Working Paper Series wp-2014-153, World Institute for Development Economic Research (UNU-WIDER).
    15. Raimbault, Juste & Le Néchet, Florent, 2021. "Introducing endogenous transport provision in a LUTI model to explore polycentric governance systems," Journal of Transport Geography, Elsevier, vol. 94(C).
    16. GUILLAIN, Rachel & HURIOT, Jean-Marie, 1999. "How information shapes cities: theory and facts," LATEC - Document de travail - Economie (1991-2003) 1999-05, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    17. McMillen, Daniel P. & Smith, Stefani C., 2003. "The number of subcenters in large urban areas," Journal of Urban Economics, Elsevier, vol. 53(3), pages 321-338, May.
    18. Pierre Philippe Combes & Gilles Duranton & Henry G. Overman, 2005. "Agglomeration and the adjustment of the spatial economy§," Papers in Regional Science, Wiley Blackwell, vol. 84(3), pages 311-349, August.
    19. Takatoshi Tabuchi & Dao‐Zhi Zeng, 2004. "Stability of Spatial Equilibrium," Journal of Regional Science, Wiley Blackwell, vol. 44(4), pages 641-660, November.
    20. Pierre M. Picard & Dao‐Zhi Zeng, 2010. "A Harmonization Of First And Second Natures," Journal of Regional Science, Wiley Blackwell, vol. 50(5), pages 973-994, 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:jsusta:v:11:y:2019:i:18:p:4909-:d:265381. 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.