IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i5p1103-d1152269.html
   My bibliography  Save this article

Multi-Perspective Analysis of Land Changes in the Transitional Zone between the Mu Us Desert and the Loess Plateau in China from 2000 to 2020

Author

Listed:
  • Yunzhi Zhang

    (China Earthquake Networks Center, Beijing 100045, China
    State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Tongyan Zheng

    (China Earthquake Networks Center, Beijing 100045, China)

  • Chen Yu

    (China Earthquake Networks Center, Beijing 100045, China)

  • Jing Ren

    (China Earthquake Networks Center, Beijing 100045, China)

  • Xuegang Gong

    (BGRIMM Technology Group, Beijing 100160, China)

  • Hao Wang

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Yihao Duan

    (China Earthquake Networks Center, Beijing 100045, China)

Abstract

The transition zone between the Mu Us Sandy Land and the Loess Plateau is considered an ecologically fragile area. However, significant changes in land use have occurred in the past few decades due to changes in land policies and the implementation of major national ecological projects. Despite this, there is still a lack of clear investigation into the impact of these changes on the landscape structure and ecological health of the area. This study utilizes high-resolution annual land use data from China, along with multi-index models and algorithms, to comprehensively analyze regional land use changes, landscape patterns, and the ecological environment’s quality. Through a comprehensive analysis of various factors, including changes in quantity, transformation in land types, spatial dynamics, landscape structure, and ecological quality, we aim to provide a better understanding of the complex interactions between land use and ecological systems in this area. The research results indicate that: (1) Since 2000, 9057.4 km 2 of land in the study area has undergone changes. The grassland area has the largest increase, the forest area has the fastest growth rate, while cropland and barren land have decreased to varying degrees, and impervious surface has slightly expanded. (2) The movement trajectory of the center of gravity for different land types is closely related to human activities such as land development and utilization, as well as ecological restoration. Land changes have resulted in an escalation of landscape fragmentation, a reduction in landscape diversity, and a decline in the uniform distribution of different types. (3) Ecological land is the key to improving the ecological environment. The increase in ecological land area in the study area has led to an improvement in the quality of the ecological environment. The net contribution rate of land change to ecological improvement reaches 1.99%. The analysis methods and perspectives used in this study can be applied to other similar studies. The study’s findings enhance the understanding of how land and vegetation changes affect the ecological environment in this crucial area. They are of great significance in guiding the development and utilization of land resources and the implementation of ecological environment projects.

Suggested Citation

  • Yunzhi Zhang & Tongyan Zheng & Chen Yu & Jing Ren & Xuegang Gong & Hao Wang & Yihao Duan, 2023. "Multi-Perspective Analysis of Land Changes in the Transitional Zone between the Mu Us Desert and the Loess Plateau in China from 2000 to 2020," Land, MDPI, vol. 12(5), pages 1-16, May.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:5:p:1103-:d:1152269
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/5/1103/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/5/1103/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xindong Du & Xiaobin Jin & Xilian Yang & Xuhong Yang & Yinkang Zhou, 2014. "Spatial Pattern of Land Use Change and Its Driving Force in Jiangsu Province," IJERPH, MDPI, vol. 11(3), pages 1-18, March.
    2. Zhao Wang & Tinglong Zhang & Chenyang Pei & Xiaonan Zhao & Yingying Li & Shuai Hu & Chongfeng Bu & Qingfeng Zhang, 2022. "Multisource Remote Sensing Monitoring and Analysis of the Driving Forces of Vegetation Restoration in the Mu Us Sandy Land," Land, MDPI, vol. 11(9), pages 1-21, September.
    3. Fengqiang Wu & Caijian Mo & Xiaojun Dai, 2022. "Analysis of the Driving Force of Land Use Change Based on Geographic Detection and Simulation of Future Land Use Scenarios," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    4. 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).
    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. Yan Zhou & Tao Chen & Jingjing Wang & Xiaolan Xu, 2023. "Analyzing the Factors Driving the Changes of Ecosystem Service Value in the Liangzi Lake Basin—A GeoDetector-Based Application," Sustainability, MDPI, vol. 15(22), pages 1-15, November.
    2. Qing Liu & Dongdong Yang & Lei Cao & Bruce Anderson, 2022. "Assessment and Prediction of Carbon Storage Based on Land Use/Land Cover Dynamics in the Tropics: A Case Study of Hainan Island, China," Land, MDPI, vol. 11(2), pages 1-24, February.
    3. Maysoon A A Osman & Elfatih M Abdel-Rahman & Joshua Orungo Onono & Lydia A Olaka & Muna M Elhag & Marian Adan & Henri E Z Tonnang, 2023. "Mapping, intensities and future prediction of land use/land cover dynamics using google earth engine and CA- artificial neural network model," PLOS ONE, Public Library of Science, vol. 18(7), pages 1-28, July.
    4. Milad Asadi & Amir Oshnooei-Nooshabadi & Samira-Sadat Saleh & Fattaneh Habibnezhad & Sonia Sarafraz-Asbagh & John Lodewijk Van Genderen, 2022. "Urban Sprawl Simulation Mapping of Urmia (Iran) by Comparison of Cellular Automata–Markov Chain and Artificial Neural Network (ANN) Modeling Approach," Sustainability, MDPI, vol. 14(23), pages 1-16, November.
    5. Changqing Sun & Yulong Bao & Battsengel Vandansambuu & Yuhai Bao, 2022. "Simulation and Prediction of Land Use/Cover Changes Based on CLUE-S and CA-Markov Models: A Case Study of a Typical Pastoral Area in Mongolia," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    6. Chang You & Hongjiao Qu & Shidong Zhang & Luo Guo, 2024. "Assessment of Uncertainties in Ecological Risk Based on the Prediction of Land Use Change and Ecosystem Service Evolution," Land, MDPI, vol. 13(4), pages 1-21, April.
    7. Hebing Zhang & Qingqing Yan & Fangfang Xie & Shouchen Ma, 2023. "Evaluation and Prediction of Landscape Ecological Security Based on a CA-Markov Model in Overlapped Area of Crop and Coal Production," Land, MDPI, vol. 12(1), pages 1-18, January.
    8. 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.
    9. Luoman Pu & Jiuchun Yang & Lingxue Yu & Changsheng Xiong & Fengqin Yan & Yubo Zhang & Shuwen Zhang, 2021. "Simulating Land-Use Changes and Predicting Maize Potential Yields in Northeast China for 2050," IJERPH, MDPI, vol. 18(3), pages 1-21, January.
    10. Yaya Tian & Guanghui Jiang & Dingyang Zhou & Tao Zhou & Wenqiu Ma, 2022. "A Refined Rural Settlements Simulation Considering the Competition Relationship among the Internal Land Use Types: A Case Study of Pinggu District," Land, MDPI, vol. 11(5), pages 1-19, April.
    11. Tianhai Zhang & Greg Foliente & Jiangtao Xiao & Lina Tang, 2025. "Exploring the Driving Factors of Land Use Change and Spatial Distribution in Coastal Cities: A Case Study of Xiamen City," Sustainability, MDPI, vol. 17(3), pages 1-19, January.
    12. Chen Qu & Wen Li & Jia Xu & Song Shi, 2023. "Blackland Conservation and Utilization, Carbon Storage and Ecological Risk in Green Space: A Case Study from Heilongjiang Province in China," IJERPH, MDPI, vol. 20(4), pages 1-21, February.
    13. Yangcheng Hu & Yi Liu & Changyan Li, 2022. "Multi-Scenario Simulation of Land Use Change and Ecosystem Service Value in the Middle Reaches of Yangtze River Urban Agglomeration," Sustainability, MDPI, vol. 14(23), pages 1-19, November.
    14. Jing Zhuge & Jie Zeng & Wanxu Chen & Chi Zhang, 2023. "Impacts of Land-Use Change on Ecosystem Services Value in the South-to-North Water Diversion Project, China," IJERPH, MDPI, vol. 20(6), pages 1-20, March.
    15. Ping Zhang & Bo Hong & Liang He & Fei Cheng & Peng Zhao & Cailiang Wei & Yunhui Liu, 2015. "Temporal and Spatial Simulation of Atmospheric Pollutant PM2.5 Changes and Risk Assessment of Population Exposure to Pollution Using Optimization Algorithms of the Back Propagation-Artificial Neural N," IJERPH, MDPI, vol. 12(10), pages 1-25, September.
    16. Sucharita Pradhan & Anirban Dhar & Kamlesh Narayan Tiwari & Satiprasad Sahoo, 2023. "Spatiotemporal analysis of land use land cover and future simulation for agricultural sustainability in a sub-tropical region of India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 7873-7902, August.
    17. Jinling Zhang & Ying Hou & Yifan Dong & Cun Wang & Weiping Chen, 2022. "Land Use Change Simulation in Rapid Urbanizing Regions: A Case Study of Wuhan Urban Areas," IJERPH, MDPI, vol. 19(14), pages 1-19, July.
    18. Qing Liu & Dongdong Yang & Lei Cao, 2022. "Evolution and Prediction of the Coupling Coordination Degree of Production–Living–Ecological Space Based on Land Use Dynamics in the Daqing River Basin, China," Sustainability, MDPI, vol. 14(17), pages 1-25, August.
    19. Motuma Shiferaw Regasa & Michael Nones, 2022. "Past and Future Land Use/Land Cover Changes in the Ethiopian Fincha Sub-Basin," Land, MDPI, vol. 11(8), pages 1-20, August.
    20. Park,Hogeun & Selod,Harris & Murray,Siobhan & Chellaraj,Gnanaraj, 2022. "Geography, Institutions, and Global Cropland Dynamics," Policy Research Working Paper Series 10078, The World Bank.

    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:5:p:1103-:d:1152269. 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.