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Spatio-Temporal Dynamic and Structural Characteristics of Land Use/Cover Change Based on a Complex Network: A Case Study of the Middle Reaches of Yangtze River Urban Agglomeration

Author

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  • Zhao Wang

    (School of Tourism, Hunan Normal University, Changsha 410081, China)

  • Tao Li

    (School of Geographic Science, Nanjing Normal University, Nanjing 210023, China)

  • Shan Yang

    (School of Geographic Science, Nanjing Normal University, Nanjing 210023, China)

  • Daili Zhong

    (School of Business, Hunan University of Technology, Zhuzhou 412007, China)

Abstract

Due to the rapid urbanization and industrialization, urban agglomeration has become the area with the most drastic and concentrated land use change. The research on the evolution law and structural characteristics of urban agglomeration land use system is of great significance for the sustainable development. Taking the middle reaches of the Yangtze River urban agglomeration (MRYRUA) of China as the study area, we analyzed the phasic changes from 1980 to 2018 in land use/cover in the MRYRUA as well as the spatial differences between the three core regions. Furthermore, the transfer matrix of land use/cover change (LUCC) was converted to network, with land use types as nodes and conversion relationships between different land types as network connecting lines. Complex network indexes such as centrality, diffusion, and dominant flow were applied to identify the major changes in land use types, key change paths, and transformation patterns. The results show that: (1) in the past 40 years, the building land area in the MRYRUA has increased significantly, while the area of crop land and forest has, and still is, decreasing at an accelerated rate; (2) in terms of the scale, structure, and spatial distribution of land use transfer, there are distinct differences among the three core regions. The Wuhan metropolitan area has the largest intensity of land use transfer and the most drastic structural adjustment; (3) in all four periods, the land use transition network, crop land, and water bodies are the key land use types. Over time, the influence of building land and forest in the land use transition network has increased; and (4) the first transfer direction of each land use type was stable during different periods, such as the transfer of crop land to water bodies and building land, the transfer of water bodies to crop land, and the mutual transformations among crop land and forest, indicating a stable transfer pattern in the MRYRUA.

Suggested Citation

  • Zhao Wang & Tao Li & Shan Yang & Daili Zhong, 2022. "Spatio-Temporal Dynamic and Structural Characteristics of Land Use/Cover Change Based on a Complex Network: A Case Study of the Middle Reaches of Yangtze River Urban Agglomeration," Sustainability, MDPI, vol. 14(11), pages 1-15, June.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6941-:d:832807
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    References listed on IDEAS

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    1. Mansour, Shawky & Al-Belushi, Mohammed & Al-Awadhi, Talal, 2020. "Monitoring land use and land cover changes in the mountainous cities of Oman using GIS and CA-Markov modelling techniques," Land Use Policy, Elsevier, vol. 91(C).
    2. 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.
    3. Hualou Long & Yingnan Zhang & Li Ma & Shuangshuang Tu, 2021. "Land Use Transitions: Progress, Challenges and Prospects," Land, MDPI, vol. 10(9), pages 1-20, August.
    4. John D. Nystuen & Michael F. Dacey, 1961. "A Graph Theory Interpretation Of Nodal Regions," Papers in Regional Science, Wiley Blackwell, vol. 7(1), pages 29-42, January.
    5. Lee, Chun-Lin & Huang, Shu-Li & Chan, Shih-Liang, 2009. "Synthesis and spatial dynamics of socio-economic metabolism and land use change of Taipei Metropolitan Region," Ecological Modelling, Elsevier, vol. 220(21), pages 2940-2959.
    6. Jizhe Zhou & Quanhua Hou, 2021. "Complex Network-Based Research on the Resilience of Rural Settlements in Sanshui Watershed," Land, MDPI, vol. 10(10), pages 1-26, October.
    7. Meijing Chen & Zhongke Bai & Qingri Wang & Zeyu Shi, 2021. "Habitat Quality Effect and Driving Mechanism of Land Use Transitions: A Case Study of Henan Water Source Area of the Middle Route of the South-to-North Water Transfer Project," Land, MDPI, vol. 10(8), pages 1-20, July.
    8. Klerkx, Laurens & Aarts, Noelle & Leeuwis, Cees, 2010. "Adaptive management in agricultural innovation systems: The interactions between innovation networks and their environment," Agricultural Systems, Elsevier, vol. 103(6), pages 390-400, July.
    Full references (including those not matched with items on IDEAS)

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