IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i12p9749-d1174243.html
   My bibliography  Save this article

Evolution of Landscape Ecological Risk and Identification of Critical Areas in the Yellow River Source Area Based on LUCC

Author

Listed:
  • Zhibo Lu

    (Department of Geological Engineering, Qinghai University, Xining 810016, China
    Provincial Key Laboratory of Cenozoic Resources and Environment on the Northern Rim of the Qinghai–Tibet Plateau, Qinghai University, Xining 810016, China)

  • Qian Song

    (Department of Geological Engineering, Qinghai University, Xining 810016, China
    Provincial Key Laboratory of Cenozoic Resources and Environment on the Northern Rim of the Qinghai–Tibet Plateau, Qinghai University, Xining 810016, China)

  • Jianyun Zhao

    (Department of Geological Engineering, Qinghai University, Xining 810016, China
    Provincial Key Laboratory of Cenozoic Resources and Environment on the Northern Rim of the Qinghai–Tibet Plateau, Qinghai University, Xining 810016, China)

Abstract

A reasonable evaluation of the ecological risk status of the landscape in the Yellow River source area is of practical significance for optimizing the regional landscape pattern and maintaining ecosystem function. To explore the regional heterogeneity of ecological risk in the watershed landscape, a landscape ecological risk evaluation model is constructed to evaluate the ecological risk status of the watershed for 20 years, and correlation analysis is used to further reveal the characteristics of the relationship between ecological risk and land use. The results show that the rapid expansion of urbanization and the increasing intensity of land development and use has caused significant changes in the Yellow River source area ecological environment and various land use types. The area of grassland decreased the most, by a total of 6160.04 km 2 , while the area of unused land increased the most, by a total of 2930.27 km 2 . A total of 12,453.11 km 2 of land in the Yellow River source area was transformed, accounting for 9.52% of the total area. The most significant area of grassland was transferred out, accounting for 49.47% of the transferred area. During the study period, the proportion of area in the low-risk zone decreased from 54.75% to 36.35%, the proportion of area in the medium-low-risk zone increased from 21.75% to 31.74%, and the proportion of area in the medium-high-risk and high-risk zones increased from 10.63% to 14.38%. The high-risk areas are mainly located in areas with fragmented landscapes and are vulnerable to human activities. The mean ecological risk values in the study area show an increasing trend, and the spatial distribution shows a hierarchical distribution of “lower around the center and higher in the center”. The global Moran’s I index is higher than 0.68, which indicates that the ecological risk values have a significant positive correlation in space, the area of cold spots of ecological risk varies significantly, and the spatial pattern fluctuates frequently, while the spatial distribution of hot spots is relatively stable. Therefore, the landscape ecological risk in the Yellow River source area is rising, but the different risk levels and their spatial aggregation patterns and cold and hot spot areas continue to transform, which requires continuous planning of the landscape pattern to enhance the safety and stability of the regional ecosystem.

Suggested Citation

  • Zhibo Lu & Qian Song & Jianyun Zhao, 2023. "Evolution of Landscape Ecological Risk and Identification of Critical Areas in the Yellow River Source Area Based on LUCC," Sustainability, MDPI, vol. 15(12), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9749-:d:1174243
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/12/9749/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/12/9749/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yurong Hu & Shreedhar Maskey & Stefan Uhlenbrook, 2012. "Trends in temperature and rainfall extremes in the Yellow River source region, China," Climatic Change, Springer, vol. 110(1), pages 403-429, January.
    2. Timothy McDaniels & Lawrence J. Axelrod & Paul Slovic, 1995. "Characterizing Perception of Ecological Risk," Risk Analysis, John Wiley & Sons, vol. 15(5), pages 575-588, October.
    3. Chen Jun & Yifang Ban & Songnian Li, 2014. "Open access to Earth land-cover map," Nature, Nature, vol. 514(7523), pages 434-434, October.
    4. Yongchao Liu & Yongxue Liu & Jialin Li & Wanyun Lu & Xianglin Wei & Chao Sun, 2018. "Evolution of Landscape Ecological Risk at the Optimal Scale: A Case Study of the Open Coastal Wetlands in Jiangsu, China," IJERPH, MDPI, vol. 15(8), pages 1-21, August.
    5. Shuaibing Zhang & Kaixu Zhao & Shuoyang Ji & Yafang Guo & Fengqi Wu & Jingxian Liu & Fei Xie, 2022. "Evolution Characteristics, Eco-Environmental Response and Influencing Factors of Production-Living-Ecological Space in the Qinghai–Tibet Plateau," Land, MDPI, vol. 11(7), pages 1-26, July.
    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. Nicolás C. Bronfman & Luis Abdón Cifuentes & Michael L. deKay & Henry H. Willis, 2007. "Accounting for Variation in the Explanatory Power of the Psychometric Paradigm: The Effects of Aggregation and Focus," Journal of Risk Research, Taylor & Francis Journals, vol. 10(4), pages 527-554, June.
    2. Qianning Zhang & Zhu Xu, 2021. "Fully Portraying Patch Area Scaling with Resolution: An Analytics and Descriptive Statistics-Combined Approach," Land, MDPI, vol. 10(3), pages 1-21, March.
    3. Hao Wang & Huimin Yan & Yunfeng Hu & Yue Xi & Yichen Yang, 2022. "Consistency and Accuracy of Four High-Resolution LULC Datasets—Indochina Peninsula Case Study," Land, MDPI, vol. 11(5), pages 1-19, May.
    4. Jingyi Wang & Chen Weng & Zhen Wang & Chunming Li & Tingting Wang, 2022. "What Constitutes the High-Quality Soundscape in Human Habitats? Utilizing a Random Forest Model to Explore Soundscape and Its Geospatial Factors Behind," IJERPH, MDPI, vol. 19(21), pages 1-23, October.
    5. Qing Yang & Zhanqiang Chang & Chou Xie & Chaoyong Shen & Bangsen Tian & Haoran Fang & Yihong Guo & Yu Zhu & Daoqin Zhou & Xin Yao & Guanwen Chen & Tao Xie, 2023. "Combining Soil Moisture and MT-InSAR Data to Evaluate Regional Landslide Susceptibility in Weining, China," Land, MDPI, vol. 12(7), pages 1-34, July.
    6. Henry H. Willis & Michael L. DeKay & Baruch Fischhoff & M. Granger Morgan, 2005. "Aggregate, Disaggregate, and Hybrid Analyses of Ecological Risk Perceptions," Risk Analysis, John Wiley & Sons, vol. 25(2), pages 405-428, April.
    7. Williamson, Tim & Hesseln, Hayley & Johnston, Mark, 2012. "Adaptive capacity deficits and adaptive capacity of economic systems in climate change vulnerability assessment," Forest Policy and Economics, Elsevier, vol. 15(C), pages 160-166.
    8. Gang Lin & Dong Jiang & Xiang Li & Jingying Fu, 2022. "Accounting for Carbon Sink and Its Dominant Influencing Factors in Chinese Ecological Space," Land, MDPI, vol. 11(10), pages 1-19, October.
    9. Byoung Joon Kim & Seoyong Kim & Sunhee Kim, 2020. "Searching for New Directions for Energy Policy: Testing Three Causal Models of Risk Perception, Attitude, and Behavior in Nuclear Energy Context," IJERPH, MDPI, vol. 17(20), pages 1-17, October.
    10. Hao Wang & Yunfeng Hu, 2021. "Simulation of Biocapacity and Spatial-Temporal Evolution Analysis of Loess Plateau in Northern Shaanxi Based on the CA–Markov Model," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    11. Adam Burgess, 2012. "Media, Risk, and Absence of Blame for “Acts of God”: Attenuation of the European Volcanic Ash Cloud of 2010," Risk Analysis, John Wiley & Sons, vol. 32(10), pages 1693-1702, October.
    12. Jiawei Qi & Yichen Zhang & Jiquan Zhang & Yanan Chen & Chenyang Wu & Chenyu Duan & Zhongshuai Cheng & Zengkai Pan, 2022. "Research on the Evaluation of Geological Environment Carrying Capacity Based on the AHP-CRITIC Empowerment Method," Land, MDPI, vol. 11(8), pages 1-17, July.
    13. Myoungsoon You & Youngkee Ju, 2020. "The Outrage Effect of Personal Stake, Familiarity, Effects on Children, and Fairness on Climate Change Risk Perception Moderated by Political Orientation," IJERPH, MDPI, vol. 17(18), pages 1-14, September.
    14. Marion Albouy-Llaty & Steeve Rouillon & Houria El Ouazzani & Group DisProSE & Sylvie Rabouan & Virginie Migeot, 2019. "Environmental Health Knowledge, Attitudes, and Practices of French Prenatal Professionals Working with a Socially Underprivileged Population: A Qualitative Study," IJERPH, MDPI, vol. 16(14), pages 1-10, July.
    15. Mu Li & Lingli Zhang & Yuanyuan Chen & Shuangliang Liu & Mingyao Cai & Qiangqiang Sun, 2024. "Construction of Landscape Ecological Risk Collaborative Management Network in Mountainous Cities—A Case Study of Zhangjiakou," Land, MDPI, vol. 13(10), pages 1-28, September.
    16. Mudassar Iqbal & Jun Wen & Muhammad Masood & Muhammad Umer Masood & Muhammad Adnan, 2022. "Impacts of Climate and Land-Use Changes on Hydrological Processes of the Source Region of Yellow River, China," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    17. Yinghou Huang & Binbin Huang & Tianling Qin & Hanjiang Nie & Jianwei Wang & Xing Li & Zhenqian Shen, 2019. "Assessment of Hydrological Changes and Their Influence on the Aquatic Ecology over the last 58 Years in Ganjiang Basin, China," Sustainability, MDPI, vol. 11(18), pages 1-19, September.
    18. Yunchen Wang & Boyan Li, 2022. "The Spatial Disparities of Land-Use Efficiency in Mainland China from 2000 to 2015," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    19. Zhang, Shaoyao & Deng, Wei & Zhang, Hao & Wang, Zhanyun, 2023. "Identification and analysis of transitional zone patterns along urban-rural-natural landscape gradients: An application to China’s southwest mountains," Land Use Policy, Elsevier, vol. 129(C).
    20. Chaoqing Huang & Chao He & Qian Wu & MinhThu Nguyen & Song Hong, 2023. "Classification of the Land Cover of a Megacity in ASEAN Using Two Band Combinations and Three Machine Learning Algorithms: A Case Study in Ho Chi Minh City," Sustainability, MDPI, vol. 15(8), pages 1-27, April.

    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:jsusta:v:15:y:2023:i:12:p:9749-:d:1174243. 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.