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Current and Future Land Use Characters of a National Central City in Eco-Fragile Region—A Case Study in Xi’an City Based on FLUS Model

Author

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  • Dingrao Feng

    (School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

  • Wenkai Bao

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

  • Meichen Fu

    (School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China
    Key Laboratory of Land Consolidation and Land Rehabilitation, Ministry of Natural Resources of the People’s Republic of China, Beijing 100035, China)

  • Min Zhang

    (School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

  • Yiyu Sun

    (School of Urban Planning and Design, Shenzhen Graduate School, Peking University, Shenzhen 518055, China)

Abstract

Land use change plays a key role in terrestrial systems and drives the process of ecological pattern change. It is important to investigate the process of land use change, predict land use patterns, and reveal the characteristics of land use dynamics. In this study, we adopted the Markov model and future land use (FLUS) model to predict the future land use conditions in Xi’an city. Furthermore, we investigated the characteristics of land use change from a novel perspective, i.e., via establishment of a complex network model. This model captured the characteristics of the land use system during different periods. The results indicated that urban expansion and cropland loss played an important role in land use pattern change. The future gravity center of urban development moved along the opposite direction to that from 2000 to 2015 in Xi’an city. Although the rate of urban expansion declined in the future, urban expansion remained the primary driver of land use change. The primary urban development directions were east-southeast (ENE), north-northeast (NNE) and west-southwest (WSW) from 1990 to 2000, 2000 to 2015, and 2015 to 2030, respectively. In fact, cropland played a vital role in land use dynamics regarding all land use types, and the stability of the land use system decreased in the future. Our study provides future land use patterns and a novel perspective to better understand land use change.

Suggested Citation

  • Dingrao Feng & Wenkai Bao & Meichen Fu & Min Zhang & Yiyu Sun, 2021. "Current and Future Land Use Characters of a National Central City in Eco-Fragile Region—A Case Study in Xi’an City Based on FLUS Model," Land, MDPI, vol. 10(3), pages 1-25, March.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:3:p:286-:d:514706
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    References listed on IDEAS

    as
    1. Zhang, Min & Wang, Jinman & Feng, Yu, 2019. "Temporal and spatial change of land use in a large-scale opencast coal mine area: A complex network approach," Land Use Policy, Elsevier, vol. 86(C), pages 375-386.
    2. 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.
    3. Xiao-Peng Song & Matthew C. Hansen & Stephen V. Stehman & Peter V. Potapov & Alexandra Tyukavina & Eric F. Vermote & John R. Townshend, 2018. "Global land change from 1982 to 2016," Nature, Nature, vol. 560(7720), pages 639-643, August.
    4. Christensen, Peter & McCord, Gordon C., 2016. "Geographic determinants of China's urbanization," Regional Science and Urban Economics, Elsevier, vol. 59(C), pages 90-102.
    5. van Vliet, Jasper & Hagen-Zanker, Alex & Hurkens, Jelle & van Delden, Hedwig, 2013. "A fuzzy set approach to assess the predictive accuracy of land use simulations," Ecological Modelling, Elsevier, vol. 261, pages 32-42.
    6. Hanqin Tian & Chaoqun Lu & Philippe Ciais & Anna M. Michalak & Josep G. Canadell & Eri Saikawa & Deborah N. Huntzinger & Kevin R. Gurney & Stephen Sitch & Bowen Zhang & Jia Yang & Philippe Bousquet & , 2016. "The terrestrial biosphere as a net source of greenhouse gases to the atmosphere," Nature, Nature, vol. 531(7593), pages 225-228, March.
    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).
    8. Yang, Xin & Zheng, Xin-Qi & Lv, Li-Na, 2012. "A spatiotemporal model of land use change based on ant colony optimization, Markov chain and cellular automata," Ecological Modelling, Elsevier, vol. 233(C), pages 11-19.
    9. Liu, Zhengjia & Wang, Jieyong & Wang, Xiaoyue & Wang, Yongsheng, 2020. "Understanding the impacts of ‘Grain for Green’ land management practice on land greening dynamics over the Loess Plateau of China," Land Use Policy, Elsevier, vol. 99(C).
    10. Ying Wang & Xiangmei Li & Jiangfeng Li & Zhengdong Huang & Renbin Xiao, 2018. "Impact of Rapid Urbanization on Vulnerability of Land System from Complex Networks View: A Methodological Approach," Complexity, Hindawi, vol. 2018, pages 1-18, May.
    11. Rui Zhou & Hao Zhang & Xin-Yue Ye & Xin-Jun Wang & Hai-Long Su, 2016. "The Delimitation of Urban Growth Boundaries Using the CLUE-S Land-Use Change Model: Study on Xinzhuang Town, Changshu City, China," Sustainability, MDPI, vol. 8(11), pages 1-16, November.
    12. Flaviano Morone & Hernán A. Makse, 2015. "Influence maximization in complex networks through optimal percolation," Nature, Nature, vol. 524(7563), pages 65-68, August.
    13. Ke, Xinli & van Vliet, Jasper & Zhou, Ting & Verburg, Peter H. & Zheng, Weiwei & Liu, Xiaoping, 2018. "Direct and indirect loss of natural habitat due to built-up area expansion: A model-based analysis for the city of Wuhan, China," Land Use Policy, Elsevier, vol. 74(C), pages 231-239.
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