IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i9p1666-d1225197.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/9/1666/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/9/1666/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2020. "Land use change and driving factors in rural China during the period 1995-2015," Land Use Policy, Elsevier, vol. 99(C).
    2. Zijie Zhou & Xin Zheng, 2022. "A Cultural Route Perspective on Rural Revitalization of Traditional Villages: A Case Study from Chishui, China," Sustainability, MDPI, vol. 14(4), pages 1-23, February.
    3. Balta, Sıla & Atik, Meryem, 2022. "Rural planning guidelines for urban-rural transition zones as a tool for the protection of rural landscape characters and retaining urban sprawl: Antalya case from Mediterranean," Land Use Policy, Elsevier, vol. 119(C).
    4. 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.
    5. Li, Jinghui & Bai, Yang & Alatalo, Juha M., 2020. "Impacts of rural tourism-driven land use change on ecosystems services provision in Erhai Lake Basin, China," Ecosystem Services, Elsevier, vol. 42(C).
    6. Zhou, Yiqi & Zou, Shan & Duan, Weili & Chen, Yaning & Takara, Kaoru & Di, Yanfeng, 2022. "Analysis of energy carbon emissions from agroecosystems in Tarim River Basin, China: A pathway to achieve carbon neutrality," Applied Energy, Elsevier, vol. 325(C).
    7. Jiamin Ren & Chenrouyu Zheng & Fuyou Guo & Hongbo Zhao & Shuang Ma & Yu Cheng, 2022. "Spatial Differentiation of Digital Rural Development and Influencing Factors in the Yellow River Basin, China," IJERPH, MDPI, vol. 19(23), pages 1-16, December.
    8. Xu, Mengyao & Zhang, Zhengfeng, 2021. "Spatial differentiation characteristics and driving mechanism of rural-industrial Land transition: A case study of Beijing-Tianjin-Hebei region, China," Land Use Policy, Elsevier, vol. 102(C).
    9. Peng Zeng & Sihui Wu & Zongyao Sun & Yujia Zhu & Yuqi Chen & Zhi Qiao & Liangwa Cai, 2021. "Does Rural Production–Living–Ecological Spaces Have a Preference for Regional Endowments? A Case of Beijing-Tianjin-Hebei, China," Land, MDPI, vol. 10(11), pages 1-21, November.
    10. Xindong Wei & Ning Wang & Pingping Luo & Jie Yang & Jian Zhang & Kangli Lin, 2021. "Spatiotemporal Assessment of Land Marketization and Its Driving Forces for Sustainable Urban–Rural Development in Shaanxi Province in China," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    11. Pingping Luo & Yue Zheng & Yiyi Wang & Shipeng Zhang & Wangqi Yu & Xi Zhu & Aidi Huo & Zhenhong Wang & Bin He & Daniel Nover, 2022. "Comparative Assessment of Sponge City Constructing in Public Awareness, Xi’an, China," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    12. Wen, Yangyang & Zhang, Zhengfeng & Liang, Di & Xu, Ze, 2020. "Rural Residential Land Transition in the Beijing-Tianjin-Hebei Region: Spatial-Temporal Patterns and Policy Implications," Land Use Policy, Elsevier, vol. 96(C).
    13. Huiwen Xiang & Yu Qin & Mingjing Xie & Bo Zhou, 2022. "Study on the “Space Gene” Diversity of Traditional Dong Villages in the Southwest Hunan Province of China," Sustainability, MDPI, vol. 14(21), pages 1-17, November.
    14. Sen Chen & Muhammad Sajid Mehmood & Shuchen Liu & Yimin Gao, 2022. "Spatial Pattern and Influencing Factors of Rural Settlements in Qinba Mountains, Shaanxi Province, China," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
    15. Shilong Piao & Philippe Ciais & Yao Huang & Zehao Shen & Shushi Peng & Junsheng Li & Liping Zhou & Hongyan Liu & Yuecun Ma & Yihui Ding & Pierre Friedlingstein & Chunzhen Liu & Kun Tan & Yongqiang Yu , 2010. "The impacts of climate change on water resources and agriculture in China," Nature, Nature, vol. 467(7311), pages 43-51, September.
    Full references (including those not matched with items on IDEAS)

    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. Weijia Chen & Yongquan Lu & Guilin Liu, 2022. "Balancing cropland gain and desert vegetation loss: The key to rural revitalization in Xinjiang, China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1122-1145, September.
    2. Juan Li & Xunzhou Chunyu & Feng Huang, 2022. "Land Use Pattern Changes and the Driving Forces in the Shiyang River Basin from 2000 to 2018," Sustainability, MDPI, vol. 15(1), pages 1-27, December.
    3. Xinyao Li & Lingzhi Wang & Bryan Pijanowski & Lingpeng Pan & Hichem Omrani & Anqi Liang & Yi Qu, 2022. "The Spatio-Temporal Pattern and Transition Mode of Recessive Cultivated Land Use Morphology in the Huaibei Region of the Jiangsu Province," Land, MDPI, vol. 11(11), pages 1-16, November.
    4. Jiang, Xue & Li, Bingxin & Zhao, Hongyu & Zhang, Qiqi & Song, Xiaoya & Zhang, Haoran, 2022. "Examining the spatial simulation and land-use reorganisation mechanism of agricultural suburban settlements using a cellular-automata and agent-based model: Six settlements in China," Land Use Policy, Elsevier, vol. 120(C).
    5. Xue Zhou & Yang Zhou, 2021. "Spatio-Temporal Variation and Driving Forces of Land-Use Change from 1980 to 2020 in Loess Plateau of Northern Shaanxi, China," Land, MDPI, vol. 10(9), pages 1-17, September.
    6. 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.
    7. Senkai Xie & Wenjia Zhang & Yi Zhao & De Tong, 2022. "Extracting Land Use Change Patterns of Rural Town Settlements with Sequence Alignment Method," Land, MDPI, vol. 11(2), pages 1-17, February.
    8. Lin Fu & Junko Sanada, 2023. "Spatial Patterns and Influencing Factors of Rural Land Commodification at Township Scale: A Case Study in Shijiazhuang City, North China," Land, MDPI, vol. 12(6), pages 1-14, June.
    9. Yinghui Zhao & Ru An & Naixue Xiong & Dongyang Ou & Congfeng Jiang, 2021. "Spatio-Temporal Land-Use/Land-Cover Change Dynamics in Coastal Plains in Hangzhou Bay Area, China from 2009 to 2020 Using Google Earth Engine," Land, MDPI, vol. 10(11), pages 1-31, October.
    10. Lu Niu & Mengyao Xu & Walter Timo de Vries, 2023. "Investigation and Comparison of Spatial–Temporal Characteristics of Farmland Fragmentation in the Beijing–Tianjin–Hebei Region, China, and Bavaria, Germany," Land, MDPI, vol. 12(7), pages 1-18, July.
    11. Dong Han & Jiajun Qiao & Qiankun Zhu & Jie Xiao & Yuling Ma, 2022. "Endogenous Driving Forces in Ecology-Production-Living Space Changes at Micro-Scale: A Mountain Town Example in Inland China," Land, MDPI, vol. 11(12), pages 1-30, December.
    12. Bangrong Shu & Yi Qu, 2022. "Impact Mechanism of the Three Pilot Reforms of the Rural Land System on Rural Residential Land Use Transition: A Regime Shifts Perspective," Land, MDPI, vol. 11(12), pages 1-17, December.
    13. Guangliang Zhou & Di Zhang & Qian Zhou & Tao Shi, 2022. "Study on the Spatiotemporal Evolution Characteristics of the “Production–Living–Ecology” Space in the Yellow River Basin and Its Driving Factors," Sustainability, MDPI, vol. 14(22), pages 1-26, November.
    14. Xuan Luo & Zhaomin Tong & Yifan Xie & Rui An & Zhaochen Yang & Yanfang Liu, 2022. "Land Use Change under Population Migration and Its Implications for Human–Land Relationship," Land, MDPI, vol. 11(6), pages 1-22, June.
    15. Zhiyuan Yang & Dong Yang & Jingjie Geng & Fengxia Tian, 2022. "Evaluation of Suitability and Spatial Distribution of Rural Settlements in the Karst Mountainous Area of China," Land, MDPI, vol. 11(11), pages 1-21, November.
    16. Liu, Chenyu & Song, Changqing & Ye, Sijing & Cheng, Feng & Zhang, Leina & Li, Chao, 2023. "Estimate provincial-level effectiveness of the arable land requisition-compensation balance policy in mainland China in the last 20 years," Land Use Policy, Elsevier, vol. 131(C).
    17. Xiaofu Lin & Hui Fu, 2022. "Spatial-Temporal Evolution and Driving Forces of Cultivated Land Based on the PLUS Model: A Case Study of Haikou City, 1980–2020," Sustainability, MDPI, vol. 14(21), pages 1-16, November.
    18. He, Liuyue & Xu, Zhenci & Wang, Sufen & Bao, Jianxia & Fan, Yunfei & Daccache, Andre, 2022. "Optimal crop planting pattern can be harmful to reach carbon neutrality: Evidence from food-energy-water-carbon nexus perspective," Applied Energy, Elsevier, vol. 308(C).
    19. Chengkun Huang & Feiyang Lin & Deping Chu & Lanlan Wang & Jiawei Liao & Junqian Wu, 2021. "Coupling Relationship and Interactive Response between Intensive Land Use and Tourism Industry Development in China’s Major Tourist Cities," Land, MDPI, vol. 10(7), pages 1-17, July.
    20. Ding, Yimin & Wang, Weiguang & Song, Ruiming & Shao, Quanxi & Jiao, Xiyun & Xing, Wanqiu, 2017. "Modeling spatial and temporal variability of the impact of climate change on rice irrigation water requirements in the middle and lower reaches of the Yangtze River, China," Agricultural Water Management, Elsevier, vol. 193(C), pages 89-101.

    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:jlands:v:12:y:2023:i:9:p:1666-:d:1225197. 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.