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A Novel Integrated Spatiotemporal-Variable Model of Landscape Changes in Traditional Villages in the Jinshaan Gorge, Yellow River Basin

Author

Listed:
  • Lili Liu

    (School of Architecture, Chang’an University, Xi’an 710061, China)

  • Meng Chen

    (School of Architecture, Chang’an University, Xi’an 710061, China)

  • Pingping Luo

    (School of Water and Environment, Chang’an University, Xi’an 710054, China
    Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang’an University, Xi’an 710054, China
    Xi’an Monitoring, Modelling and Early Warning of Watershed Spatial Hydrology International Science and Technology Cooperation Base, Chang’an University, Xi’an 710054, China)

  • Maochuan Hu

    (School of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, China)

  • Weili Duan

    (State Key Laboratory of Desert & Oasis Ecology, Xinjiang Institute of Ecology & Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Ahmed Elbeltagi

    (Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura 35516, Egypt)

Abstract

Spatiotemporal studies of landscape pattern evolution in traditional villages are beneficial for addressing complex urbanization and global climate change. Using the traditional villages of Jiaxian and Linxian in the Jinshaan Gorge of the Yellow River Basin, this study employed a three-dimensional (3D) analysis involving three spatial scales (macro, meso, and micro), temporal scales (past, present, and future), and variables (humanity, society, and nature) based on the methods of spatiotemporal data analysis (SDA), geographic information system, remote sensing, and landscape pattern index (LPI) by Fragstats. On the macro scale, a significant turning point in ecological conservation awareness was indicated by LPI and SDA. Urban and rural construction land continuously increased because of urbanization. Plowland, grassland, and woodland were the main influencing factors in the evolution of rural settlements, with a 0.42% cumulative transformation rate. On the meso scale, the interactions and mutual promotion of mountain and aquatic environments, aquatic facilities, agricultural production, and cultural heritage have shaped the socioeconomic dimensions of evolution. On the micro scale, with urbanization, some traditional humanistic spaces have lost their original functions. A novel spatiotemporal-variable quantitative model explored the spatiotemporal evolution characteristics of human–land coupling, which can be used for the sustainable development of river basins worldwide.

Suggested Citation

  • Lili Liu & Meng Chen & Pingping Luo & Maochuan Hu & Weili Duan & Ahmed Elbeltagi, 2023. "A Novel Integrated Spatiotemporal-Variable Model of Landscape Changes in Traditional Villages in the Jinshaan Gorge, Yellow River Basin," Land, MDPI, vol. 12(9), pages 1-28, August.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:9:p:1666-:d:1225197
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    References listed on IDEAS

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    Cited by:

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    2. Ende Yang & Qiang Yao & Bin Long & Na An & Yu Liu, 2024. "Progress in the Research of Features and Characteristics of Mountainous Rural Settlements: Distribution, Issues, and Trends," Sustainability, MDPI, vol. 16(11), pages 1-45, May.
    3. Mi Yan & Qingmiao Li & Yan Song, 2024. "Spatial and Temporal Distribution Characteristics and Influential Mechanisms of China’s Industrial Landscape Based on Geodetector," Land, MDPI, vol. 13(6), pages 1-23, May.

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