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Identification of Ecological Risk “Source-Sink” Landscape Functions of Resource-Based Region: A Case Study in Liaoning Province, China

Author

Listed:
  • Shaoqing Wang

    (College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing, D11 Xueyuan Road, Haidian District, Beijing 100083, China)

  • Yanling Zhao

    (College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing, D11 Xueyuan Road, Haidian District, Beijing 100083, China)

  • He Ren

    (College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing, D11 Xueyuan Road, Haidian District, Beijing 100083, China)

  • Shichao Zhu

    (College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing, D11 Xueyuan Road, Haidian District, Beijing 100083, China)

  • Yunhui Yang

    (Shandong Urban and Rural Planning Design Institute, Jinan 250014, China)

Abstract

Ecological risk assessment plays an important role in ecosystem management and conservation. Conventional landscape-level assessment can only estimate the ecological risk level. It does not define ecological risk types, resulting in a lack of targeted regulation methods. This study establishes a model for identifying ecological risk-related “source-sink” landscape functions according to (1) “source-sink” landscape theory, (2) the responses of landscape types to ecological risks, and (3) the key influences on ecological risk. Four ecological risk “source-sink” landscape functions were mapped as a grid to understand their distribution. Natural and human activity factors were analyzed to determine their effects. After comprehensively considering the ecological risk levels, types of ecological risk, “source-sink” landscape functions, and their influencing factors, six principles and twenty-four targeted regulation strategies were proposed. Take the Liaoning province, China, as an example. The results prove that more than 80% of the grids were affected by the ecological risk “sink” landscape function for different and multiple ecological risks in the study area. Landscapes with the “source” function were mainly located in central cities and coastal areas. About 65% of the grids with “sink” landscape functions had medium, moderate-high, and high ecological risks. More than 75% of the grids with “source” landscape functions had medium, moderate-low, and low ecological risks. Local terrain features, vegetation, and climate were closely related to the “source” or “sink” landscape function of a grid. The land use type converted to artificial surface had the highest driving effects (q value) on multiple ecological risk “source-sink” landscape functions, and had a significant difference between other factors. The driving effects of land use type converted to artificial surface and road network density gradually increased with the risk level. The influences of GDP and population density gradually weakened with the level. The influence of interaction between any two factors was stronger than the influence of a single factor on ecological risk. The proposed assessment model can help to identify specific ecological risk at the grid level, and combined with the regulation strategy, the scientific basis can be provided for the regulation and management of different ecological risks.

Suggested Citation

  • Shaoqing Wang & Yanling Zhao & He Ren & Shichao Zhu & Yunhui Yang, 2023. "Identification of Ecological Risk “Source-Sink” Landscape Functions of Resource-Based Region: A Case Study in Liaoning Province, China," Land, MDPI, vol. 12(10), pages 1-23, October.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:10:p:1921-:d:1260116
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    References listed on IDEAS

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    1. Yanyan Jia & Xiaolan Tang & Wei Liu, 2020. "Spatial–Temporal Evolution and Correlation Analysis of Ecosystem Service Value and Landscape Ecological Risk in Wuhu City," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    2. Desirée Tullos & Elizabeth Byron & Gerald Galloway & Jayantha Obeysekera & Om Prakash & Yung-Hsin Sun, 2016. "Review of challenges of and practices for sustainable management of mountain flood hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(3), pages 1763-1797, September.
    3. Shuhan Liu & Dongyan Wang & Guoping Lei & Hong Li & Wenbo Li, 2019. "Elevated Risk of Ecological Land and Underlying Factors Associated with Rapid Urbanization and Overprotected Agriculture in Northeast China," Sustainability, MDPI, vol. 11(22), pages 1-18, November.
    4. 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).
    5. Zhenhua Wu & Shaogang Lei & Bao-Jie He & Zhengfu Bian & Yinghong Wang & Qingqing Lu & Shangui Peng & Linghua Duo, 2019. "Assessment of Landscape Ecological Health: A Case Study of a Mining City in a Semi-Arid Steppe," IJERPH, MDPI, vol. 16(5), pages 1-21, March.
    6. Saowanee Wijitkosum, 2020. "Reducing Vulnerability to Desertification by Using the Spatial Measures in a Degraded Area in Thailand," Land, MDPI, vol. 9(2), pages 1-20, February.
    7. Xi Chen & Dawei Xu & Safa Fadelelseed & Lianying Li, 2019. "Spatiotemporal Analysis and Control of Landscape Eco-Security at the Urban Fringe in Shrinking Resource Cities: A Case Study in Daqing, China," IJERPH, MDPI, vol. 16(23), pages 1-26, November.
    8. Ramesh P. Rudra & Balew A. Mekonnen & Rituraj Shukla & Narayan Kumar Shrestha & Pradeep K. Goel & Prasad Daggupati & Asim Biswas, 2020. "Currents Status, Challenges, and Future Directions in Identifying Critical Source Areas for Non-Point Source Pollution in Canadian Conditions," Agriculture, MDPI, vol. 10(10), pages 1-25, October.
    9. Jian Peng & Minli Zong & Yi'na Hu & Yanxu Liu & Jiansheng Wu, 2015. "Assessing Landscape Ecological Risk in a Mining City: A Case Study in Liaoyuan City, China," Sustainability, MDPI, vol. 7(7), pages 1-23, June.
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