IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i5p996-d1137597.html
   My bibliography  Save this article

Research on Land Use Pattern and Ecological Risk of Lanzhou–Xining Urban Agglomeration from the Perspective of Terrain Gradient

Author

Listed:
  • Ziyang Wang

    (College of Geographic and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    Gansu Engineering Research Center of Land Utilization and Comprehension Consolidation, Lanzhou 730070, China)

  • Peiji Shi

    (College of Geographic and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    Gansu Engineering Research Center of Land Utilization and Comprehension Consolidation, Lanzhou 730070, China)

  • Jing Shi

    (College of Geographic and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    Gansu Engineering Research Center of Land Utilization and Comprehension Consolidation, Lanzhou 730070, China)

  • Xuebin Zhang

    (College of Geographic and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    Gansu Engineering Research Center of Land Utilization and Comprehension Consolidation, Lanzhou 730070, China)

  • Litang Yao

    (College of Geographic and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    Gansu Engineering Research Center of Land Utilization and Comprehension Consolidation, Lanzhou 730070, China)

Abstract

At the intersection of the Qinghai–Tibet Plateau and Loess Plateau, topographic factors often profoundly affect the evolution of the regional land use pattern and ecological risk. This paper takes the Lanzhou–Xining urban agglomeration as the research area, divides the topographic gradient based on the topographic index, analyzes the characteristics of the land use pattern using the land use transfer matrix model, dynamic attitude and state degree model, and analyzes the influence of topographic factors on the land use pattern using the distribution model. At the same time, an ecological risk evaluation index system is constructed, the spatial principal component method is used to evaluate the ecological risk, and the influence of topography on the regional ecological risk is discussed. The results show that from 1990 to 2020, the area of construction land in the study area increased by 1045.807 km 2 and the area of ecological land increased by 587.41 km 2 , with the most significant changes occurring in the attitude and state of construction land and unused land. It is found that cultivated land, water area and construction land are dominant in low terrain, while woodland, grassland and unused land are mainly distributed in middle and high terrain. During the study period, the ecological risk in the midwest and southeast of the Lanzhou–Xining urban agglomeration decreased, while the ecological risk in the northeast increased first and then decreased, although generally there was an increasing trend. Moran’s I varied from 0.942 to 0.955 from 1990 to 2020, indicating that the ecological risk index in the study area was highly positively correlated in space, while the spatial aggregation effect of the ecological risk was obvious. Low and moderately low risk areas are mainly distributed in high terrain, while high and moderately high risk areas are dominant in low terrain. The research results of this paper can make a lot of sense for ecological protection, land resource utilization and sustainable development of the Lanzhou–Xining urban agglomeration.

Suggested Citation

  • Ziyang Wang & Peiji Shi & Jing Shi & Xuebin Zhang & Litang Yao, 2023. "Research on Land Use Pattern and Ecological Risk of Lanzhou–Xining Urban Agglomeration from the Perspective of Terrain Gradient," Land, MDPI, vol. 12(5), pages 1-20, April.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:5:p:996-:d:1137597
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/5/996/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/5/996/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bohao Cui & Yili Zhang & Zhaofeng Wang & Changjun Gu & Linshan Liu & Bo Wei & Dianqing Gong & Mohan Kumar Rai, 2022. "Ecological Risk Assessment of Transboundary Region Based on Land-Cover Change: A Case Study of Gandaki River Basin, Himalayas," Land, MDPI, vol. 11(5), pages 1-22, April.
    2. Isabelle D. Wolf & Parvaneh Sobhani & Hassan Esmaeilzadeh, 2023. "Assessing Changes in Land Use/Land Cover and Ecological Risk to Conserve Protected Areas in Urban–Rural Contexts," Land, MDPI, vol. 12(1), pages 1-22, January.
    3. Weiping Zhang & Peiji Shi & Huali Tong, 2022. "Research on Construction Land Use Benefit and the Coupling Coordination Relationship Based on a Three-Dimensional Frame Model—A Case Study in the Lanzhou-Xining Urban Agglomeration," Land, MDPI, vol. 11(4), pages 1-16, March.
    4. Pereira, Jordi & Vásquez, Óscar C., 2017. "The single machine weighted mean squared deviation problem," European Journal of Operational Research, Elsevier, vol. 261(2), pages 515-529.
    5. Binpin Gao & Yingmei Wu & Chen Li & Kejun Zheng & Yan Wu & Mengjiao Wang & Xin Fan & Shengya Ou, 2022. "Multi-Scenario Prediction of Landscape Ecological Risk in the Sichuan-Yunnan Ecological Barrier Based on Terrain Gradients," Land, MDPI, vol. 11(11), pages 1-22, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xuebin Zhang & Jiale Yu & Haoyuan Feng & Litang Yao & Xuehong Li & Hucheng Du & Yanni Liu, 2024. "Landscape Ecological Risk and Drivers of Land-Use Transition under the Perspective of Differences in Topographic Gradient," Land, MDPI, vol. 13(6), pages 1-20, June.
    2. Jinglian Tian & Yongzhong Tian & Wenhao Wan & Chenxi Yuan & Kangning Liu & Yang Wang, 2024. "Research on the Temporal and Spatial Changes and Driving Forces of Rice Fields Based on the NDVI Difference Method," Agriculture, MDPI, vol. 14(7), pages 1-22, July.
    3. Lei Zhao & Zhengtao Shi & Guangxiong He & Li He & Wenfei Xi & Qin Jiang, 2023. "Land Use Change and Landscape Ecological Risk Assessment Based on Terrain Gradients in Yuanmou Basin," Land, MDPI, vol. 12(9), pages 1-19, September.
    4. Yiwen Ji & Lang Zhang & Xinchen Gu & Lei Zhang, 2023. "Study on the Spatial and Temporal Evolution of Regional Green Space Morphology Outside Built-Up Areas based on the Google Earth Engine and Biophysical Component Modeling," Land, MDPI, vol. 12(12), pages 1-22, December.

    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. Shujing Fu & Xuexia Zhang & Wenhui Kuang & Changqing Guo, 2022. "Characteristics of Changes in Urban Land Use and Efficiency Evaluation in the Qinghai–Tibet Plateau from 1990 to 2020," Land, MDPI, vol. 11(5), pages 1-16, May.
    2. Huiqing Han & Zhihua Su & Guangbin Yang, 2023. "Variations of Habitat Quality and Ecological Risk and Their Correlations with Landscape Metrics in a Robust Human Disturbed Coastal Region—Case Study: Xinggang Town in Southern China," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    3. Chuansong Zhao & Ran Geng & Jianxu Liu & Liuying Peng & Woraphon Yamaka, 2023. "Spatiotemporal Evolution and Driving Factors of Land Development: Evidence from Shandong Province, China," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
    4. Qingshan Kong & Haiyang Kong & Silin Miao & Qin Zhang & Jiangang Shi, 2022. "Spatial Coupling Coordination Evaluation between Population Growth, Land Use and Housing Supply of Urban Agglomeration in China," Land, MDPI, vol. 11(9), pages 1-18, August.
    5. Shu Wang & Fenglian Liu, 2023. "Spatiotemporal Evolution of Land Use Efficiency in Southwest Mountain Area of China: A Case Study of Yunnan Province," Agriculture, MDPI, vol. 13(7), pages 1-24, July.
    6. Koulamas, Christos & Kyparisis, George J., 2023. "Two-stage no-wait proportionate flow shop scheduling with minimal service time variation and optional job rejection," European Journal of Operational Research, Elsevier, vol. 305(2), pages 608-616.
    7. Ying Xia & Jia Li & Enhua Li & Jiajia Liu, 2023. "Analysis of the Spatial and Temporal Evolution and Driving Factors of Landscape Ecological Risk in the Four Lakes Basin on the Jianghan Plain, China," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    8. Tian Liang & Fei Yang & Dan Huang & Yinchen Luo & You Wu & Chuanhao Wen, 2022. "Land-Use Transformation and Landscape Ecological Risk Assessment in the Three Gorges Reservoir Region Based on the “Production–Living–Ecological Space” Perspective," Land, MDPI, vol. 11(8), pages 1-13, August.
    9. Xiao Zhu & Di Yao & Hanyue Shi & Kaichen Qu & Yuxiao Tang & Kaixu Zhao, 2022. "The Evolution Mode and Driving Mechanisms of the Relationship between Construction Land Use and Permanent Population in Urban and Rural Contexts: Evidence from China’s Land Survey," Land, MDPI, vol. 11(10), pages 1-44, October.
    10. Jiangfu Liao & Lina Tang & Guofan Shao, 2022. "Multi-Scenario Simulation to Predict Ecological Risk Posed by Urban Sprawl with Spontaneous Growth: A Case Study of Quanzhou," IJERPH, MDPI, vol. 19(22), pages 1-22, November.
    11. Yuzhe Wu & Chenzhuo Gu & Yingnan Zhang, 2022. "Towards Sustainable Management of Urban Ecological Space: A Zoning Approach Hybridized by Ecosystem Service Value and Ecological Risk Assessment," Land, MDPI, vol. 11(8), pages 1-19, August.
    12. Fangqu Niu & Lan Wang & Wei Sun, 2023. "Spatiotemporal Characteristics and Determinants of Rural Construction Land in China’s Developed Areas: A Case Study of the Yangtze River Delta," Land, MDPI, vol. 12(10), pages 1-19, October.

    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:996-:d:1137597. 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.