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Study on the Spatio-Temporal Evolution of Land Use in Resource-Based Cities in Three Northeastern Provinces of China—An Analysis Based on Long-Term Series

Author

Listed:
  • Qiang Li

    (School of Urban Economics and Public Administration, Capital University of Economics and Business, Beijing 100070, China
    Beijing Key Laboratory of Megaregions Sustainable Development Modeling, Beijing 100070, China)

  • Yuchi Pu

    (School of Urban Economics and Public Administration, Capital University of Economics and Business, Beijing 100070, China
    Beijing Key Laboratory of Megaregions Sustainable Development Modeling, Beijing 100070, China)

  • Yang Zhang

    (School of Urban Economics and Public Administration, Capital University of Economics and Business, Beijing 100070, China
    Beijing Key Laboratory of Megaregions Sustainable Development Modeling, Beijing 100070, China)

Abstract

Land is the basis of development, and the unique patterns of the spatio-temporal evolution of land use in resource-based cities can reflect regional development, help land resources to be used efficiently and rationally, promote scientific regulation, and achieve high-quality development. Based on the land use data of resource-based cities in three northeastern provinces from 1980 to 2020, the spatio-temporal evolution characteristics and driving factors of land use in the sample study area were studied by the Markov transfer matrix and a parametric optimal geographic detector model. The results showed that: (1) From the perspective of time, the land use changes in the sample study area were active, mainly reflected in the continuous conversion of forest land transfer-out (11.66%) and arable land transfer-in (11.28%), and the dynamic attitude of forest land showed a trend of decreasing, then increasing and then decreasing, while the dynamic attitude of arable land showed a trend of increasing, then decreasing and then increasing. (2) Spatially, the areas where land conversion occurred were mainly concentrated in the northern part of the study area and the border area in the east, which is also the area where forest land was converted to arable land and grassland was converted to arable land, and the expansion of construction land was more common; (3) In terms of influencing factors, land conversion before 2000 was mainly influenced by socio-economic factors, and population quantity and urbanization rate had stronger explanatory power. The spatial and temporal evolution of forest land conversion to arable land was realized by the interaction of various factors, and the driver interactions were all non-linearly enhanced and bi-factor enhanced. (4) In terms of influencing factors, land conversion before 2000 was mainly influenced by socio-economics, with population quantity and urbanization rate having a stronger explanatory power; after 2000, land conversion was mainly influenced by physical geography, with precipitation and temperature having a stronger explanatory power. (5) The spatio-temporal evolution of forest land conversion to cropland was realized by the interaction between various factors, and the driving factor interactions all showed non-linear enhancement and bifactor enhancement.

Suggested Citation

  • Qiang Li & Yuchi Pu & Yang Zhang, 2022. "Study on the Spatio-Temporal Evolution of Land Use in Resource-Based Cities in Three Northeastern Provinces of China—An Analysis Based on Long-Term Series," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13683-:d:950050
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    References listed on IDEAS

    as
    1. Chunyu Chen & Linglan Bi & Kuanfan Zhu, 2021. "Study on Spatial-Temporal Change of Urban Green Space in Yangtze River Economic Belt and Its Driving Mechanism," IJERPH, MDPI, vol. 18(23), pages 1-20, November.
    2. Han Huang & Yang Zhou & Mingjie Qian & Zhaoqi Zeng, 2021. "Land Use Transition and Driving Forces in Chinese Loess Plateau: A Case Study from Pu County, Shanxi Province," Land, MDPI, vol. 10(1), pages 1-15, January.
    3. Bruno M. Meneses & Eusébio Reis & Susana Pereira & Maria J. Vale & Rui Reis, 2017. "Understanding Driving Forces and Implications Associated with the Land Use and Land Cover Changes in Portugal," Sustainability, MDPI, vol. 9(3), pages 1-20, February.
    4. Bao, Junlin & Gao, Shu & Ge, Jianxiong, 2019. "Dynamic land use and its policy in response to environmental and social-economic changes in China: A case study of the Jiangsu coast (1750–2015)," Land Use Policy, Elsevier, vol. 82(C), pages 169-180.
    5. Lu, Xiao & Shi, Yangyang & Chen, Changling & Yu, Miao, 2017. "Monitoring cropland transition and its impact on ecosystem services value in developed regions of China: A case study of Jiangsu Province," Land Use Policy, Elsevier, vol. 69(C), pages 25-40.
    6. David Fernández-Nogueira & Eduardo Corbelle-Rico, 2018. "Land Use Changes in Iberian Peninsula 1990–2012," Land, MDPI, vol. 7(3), pages 1-12, August.
    7. Bo Wen & Yunhua Pan & Yanyuan Zhang & Jingjie Liu & Min Xia, 2018. "Does the Exhaustion of Resources Drive Land Use Changes? Evidence from the Influence of Coal Resources-Exhaustion on Coal Resources–Based Industry Land Use Changes," Sustainability, MDPI, vol. 10(8), pages 1-13, August.
    8. Edivando Vitor do Couto & Pablo B. Oliveira & Luciane Maria Vieira & Marcelo H. Schmitz & José Hilário D. Ferreira, 2020. "Integrating Environmental, Geographical and Social Data to Assess Sustainability in Hydrographic Basins: The ESI Approach," Sustainability, MDPI, vol. 12(7), pages 1-16, April.
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