IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i2p312-d1049053.html
   My bibliography  Save this article

Spatiotemporal Variation in the Land Use/Cover of Alluvial Fans in Lhasa River Basin, Qinghai–Tibet Plateau

Author

Listed:
  • Tongde Chen

    (Laboratory of Land Resources Surveying and Planning, School of Politics and Public Administration, Qinghai Minzu University, Xining 810007, China
    State Key Laboratory of Soil Erosion and Dry Land Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, China)

  • Juying Jiao

    (State Key Laboratory of Soil Erosion and Dry Land Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, China)

  • Wei Wei

    (School of Automation, Northwestern Polytechnical University, Xi’an 710072, China)

  • Jianjun Li

    (State Key Laboratory of Soil Erosion and Dry Land Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, China)

  • Ziqi Zhang

    (State Key Laboratory of Soil Erosion and Dry Land Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, China)

  • Haizhen Yang

    (Laboratory of Land Resources Surveying and Planning, School of Politics and Public Administration, Qinghai Minzu University, Xining 810007, China)

  • Huifang Ma

    (Laboratory of Land Resources Surveying and Planning, School of Politics and Public Administration, Qinghai Minzu University, Xining 810007, China)

Abstract

Alluvial fans are an important land resource with agricultural potential in Qinghai–Tibet Plateau. The spatiotemporal variation in land use/cover is an important indicator to understand the value of alluvial fans and protect and make scientific use of such fans. In this study, the spatiotemporal characteristics of land use/cover are determined by analysing the land use/cover changes of alluvial fans in the Lhasa River Basin (LRB) at different times, counties/districts, altitudes, and gradients. Results show that the area of cultivated land and the artificial land provided by alluvial fans for LRB has continuously increased. In 2000, 2010, and 2020, 17.72%, 21.84%, and 24.17% of cultivated land and 7.89%, 7.51%, and 25.24% of artificial land in LRB were provided by alluvial fans, respectively. At all altitudes and slopes, cultivated land and artificial land are increasing but the increasing part is basically due to the massive loss of grassland. The spatiotemporal changes in all land use/cover types of alluvial fans were dominated by human activities, although they were also influenced by natural factors to some degree.

Suggested Citation

  • Tongde Chen & Juying Jiao & Wei Wei & Jianjun Li & Ziqi Zhang & Haizhen Yang & Huifang Ma, 2023. "Spatiotemporal Variation in the Land Use/Cover of Alluvial Fans in Lhasa River Basin, Qinghai–Tibet Plateau," Agriculture, MDPI, vol. 13(2), pages 1-17, January.
  • Handle: RePEc:gam:jagris:v:13:y:2023:i:2:p:312-:d:1049053
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/2/312/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/13/2/312/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Land use efficiency and influencing factors of urban agglomerations in China," Land Use Policy, Elsevier, vol. 88(C).
    2. Emily Ane Dionizio & Marcos Heil Costa, 2019. "Influence of Land Use and Land Cover on Hydraulic and Physical Soil Properties at the Cerrado Agricultural Frontier," Agriculture, MDPI, vol. 9(1), pages 1-14, January.
    3. Azeb W. Degife & Florian Zabel & Wolfram Mauser, 2019. "Land Use Scenarios and Their Effect on Potential Crop Production: The Case of Gambella Region, Ethiopia," Agriculture, MDPI, vol. 9(5), pages 1-17, May.
    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. Zhang, Pengyan & Yang, Dan & Qin, Mingzhou & Jing, Wenlong, 2020. "Spatial heterogeneity analysis and driving forces exploring of built-up land development intensity in Chinese prefecture-level cities and implications for future Urban Land intensive use," Land Use Policy, Elsevier, vol. 99(C).
    2. Yuqi Zhu & Siwei Shen & Linyu Du & Jun Fu & Jian Zou & Lina Peng & Rui Ding, 2023. "Spatial and Temporal Interaction Coupling of Digital Economy, New-Type Urbanization and Land Ecology and Spatial Effects Identification: A Study of the Yangtze River Delta," Land, MDPI, vol. 12(3), pages 1-27, March.
    3. Lisha Pan & Hangang Hu & Xin Jing & Yang Chen & Guan Li & Zhongguo Xu & Yuefei Zhuo & Xueqi Wang, 2022. "The Impacts of Regional Cooperation on Urban Land-Use Efficiency: Evidence from the Yangtze River Delta, China," Land, MDPI, vol. 11(6), pages 1-16, June.
    4. Adedayo Johnson Ogungbile & Geoffrey Qiping Shen & Ibrahim Yahaya Wuni & Jin Xue & Jingke Hong, 2021. "A Hybrid Framework for Direct CO 2 Emissions Quantification in China’s Construction Sector," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
    5. Yedong Chen & Jiang Chang & Zixuan Li & Li Ming & Cankun Li & Cheng Li, 2023. "Coupling Coordination and Spatiotemporal Analysis of Urban Compactness and Land-Use Efficiency in Resource-Based Areas: A Case Study of Shanxi Province, China," Land, MDPI, vol. 12(9), pages 1-23, August.
    6. Bin Duan & Xuanming Ji, 2021. "Can Carbon Finance Optimize Land Use Efficiency? The Example of China’s Carbon Emissions Trading Policy," Land, MDPI, vol. 10(9), pages 1-18, September.
    7. Malin Song & Weiliang Tao, 2022. "Coupling and coordination analysis of China's regional urban‐rural integration and land‐use efficiency," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1384-1413, September.
    8. Bin Yang & Zhanqi Wang & Bo Zhang & Di Zhang, 2020. "Allocation Efficiency, Influencing Factors and Optimization Path of Rural Land Resources: A Case Study in Fang County of Hubei Province, China," IJERPH, MDPI, vol. 17(16), pages 1-16, August.
    9. Sijia Li & Meichen Fu & Yi Tian & Yuqing Xiong & Cankun Wei, 2022. "Relationship between Urban Land Use Efficiency and Economic Development Level in the Beijing–Tianjin–Hebei Region," Land, MDPI, vol. 11(7), pages 1-18, June.
    10. Yin Ma & Minrui Zheng & Xinqi Zheng & Yi Huang & Feng Xu & Xiaoli Wang & Jiantao Liu & Yongqiang Lv & Wenchao Liu, 2023. "Land Use Efficiency Assessment under Sustainable Development Goals: A Systematic Review," Land, MDPI, vol. 12(4), pages 1-21, April.
    11. Yunfei Peng & Fangling Yang & Lingwei Zhu & Ruru Li & Chao Wu & Deng Chen, 2021. "Comparative Analysis of the Factors Influencing Land Use Change for Emerging Industry and Traditional Industry: A Case Study of Shenzhen City, China," Land, MDPI, vol. 10(6), pages 1-17, May.
    12. Xinhai Lu & Zhenxing Shi & Jia Li & Junhao Dong & Mingjie Song & Jiao Hou, 2022. "Research on the Impact of Factor Flow on Urban Land Use Efficiency from the Perspective of Urbanization," Land, MDPI, vol. 11(3), pages 1-17, March.
    13. Hao Su & Shuo Yang, 2022. "Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China," IJERPH, MDPI, vol. 19(19), pages 1-28, October.
    14. Wen, Tianzuo & Qiang, Wei & Liu, Xingjian, 2022. "Exploring the geography of urban comprehensive development in mainland Chinese cities," Land Use Policy, Elsevier, vol. 115(C).
    15. Jianqing Zhang & Song Wang & Peilei Yang & Fei Fan & Xueli Wang, 2020. "Analysis of Scale Factors on China’s Sustainable Development Efficiency Based on Three-Stage DEA and a Double Threshold Test," Sustainability, MDPI, vol. 12(6), pages 1-26, March.
    16. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    17. Rafaella Campos & Gabrielle Ferreira Pires & Marcos Heil Costa, 2020. "Soil Carbon Sequestration in Rainfed and Irrigated Production Systems in a New Brazilian Agricultural Frontier," Agriculture, MDPI, vol. 10(5), pages 1-14, May.
    18. Wei Zhao & Changjun Jiang, 2022. "Analysis of the Spatial and Temporal Characteristics and Dynamic Effects of Urban-Rural Integration Development in the Yangtze River Delta Region," Land, MDPI, vol. 11(7), pages 1-22, July.
    19. Haiyang Qiu & Xin Li & Long Zhang, 2023. "Influential Effect and Mechanism of Digital Finance on Urban Land Use Efficiency in China," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
    20. Sun, Yifan & Ma, Anbing & Su, Haorui & Su, Shiliang & Chen, Fei & Wang, Wen & Weng, Min, 2020. "Does the establishment of development zones really improve industrial land use efficiency? Implications for China’s high-quality development policy," Land Use Policy, Elsevier, vol. 90(C).

    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:jagris:v:13:y:2023:i:2:p:312-:d:1049053. 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.