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Assessment of Landscape Ecological Health: A Case Study of a Mining City in a Semi-Arid Steppe

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  • Zhenhua Wu

    (Engineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou 221116, China
    School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)

  • Shaogang Lei

    (Engineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou 221116, China)

  • Bao-Jie He

    (Faculty of Built Environment, University of New South Wales, Sydney 2052, Australia)

  • Zhengfu Bian

    (Engineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou 221116, China
    School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)

  • Yinghong Wang

    (School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)

  • Qingqing Lu

    (School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China)

  • Shangui Peng

    (School of Business, Shandong Normal University, Ji’nan 250014, China)

  • Linghua Duo

    (China University of Mining and Technology (Beijing), Beijing 100083, China)

Abstract

The ecological status of the semi-arid steppes in China is fragile. Under the long-term and high-intensity development of mining, the ecological integrity and biodiversity of steppe landscapes have been destroyed, causing soil pollution, grassland degradation, landscape function defect, and so on. Previous studies have mainly focused on ecosystem health assessment in mining areas. Landscape ecological health (LEH) pays more attention to the interactions between different ecosystems. Therefore, the ecological assessment of mining cities is more suitable on a landscape scale. Meanwhile, the existing LEH assessment index systems are not applicable in ecologically fragile areas with sparse population, underdeveloped economy, and in relatively small research areas. The purpose of this study was to construct a LEH assessment index system and evaluate the LEH of a mining city located in a semi-arid steppe. Xilinhot is a typical semi-arid steppe mining city in China. The contradictions between the human, land and ecological environment are serious. A new model Condition, Vigor, Organization, Resilience, and Ecosystem (CVORE) model was constructed that integrated five subsystems (services) from the perspectives of ecology, landscape ecology, mining science, and geography. This study used the CVORE model to systematically evaluate the LEH in Xilinhot city in terms of five LEH levels, including very healthy, healthy, sub-healthy, unhealthy and morbid landscape. Research results show that the areas of the very healthy, healthy, sub-healthy, unhealthy and morbid landscapes are 13.23, 736.35, 184.5, 66.76 and 20.63 km 2 , respectively. The healthy landscapes area accounts for 72.08% and most grasslands are healthy. The sub-healthy landscapes are mainly located around areas with higher disturbances due to human activities. The morbid or unhealthy landscapes are concentrated in the mining areas. The proposed CVORE model can enrich the foundations for the quantitative assessment of Landscape Ecological Health of Mining Cities in Semi-arid Steppe (LEHMCSS). This study provided a new LEH assessment approach (CVORE model), which can support landscape ecological restoration, ecological environmental protection and urban planning of the semi-arid steppe mining cities.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:5:p:752-:d:210271
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    References listed on IDEAS

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    1. Qingsong Wang & Xueliang Yuan & Jian Zhang & Yun Gao & Jinglan Hong & Jian Zuo & Wei Liu, 2015. "Assessment of the Sustainable Development Capacity with the Entropy Weight Coefficient Method," Sustainability, MDPI, vol. 7(10), pages 1-22, October.
    2. Ziyan Wang & Lina Tang & Quanyi Qiu & Huaxiang Chen & Tong Wu & Guofan Shao, 2018. "Assessment of Regional Ecosystem Health—A Case Study of the Golden Triangle of Southern Fujian Province, China," IJERPH, MDPI, vol. 15(4), pages 1-21, April.
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    Cited by:

    1. Chengye Zhang & Huiyu Zheng & Jun Li & Tingting Qin & Junting Guo & Menghao Du, 2022. "A Method for Identifying the Spatial Range of Mining Disturbance Based on Contribution Quantification and Significance Test," IJERPH, MDPI, vol. 19(9), pages 1-21, April.
    2. Xinyu Wang & Xinzhi Yao & Huamei Shao & Tian Bai & Yaqiong Xu & Guohang Tian & Albert Fekete & László Kollányi, 2023. "Land Use Quality Assessment and Exploration of the Driving Forces Based on Location: A Case Study in Luohe City, China," Land, MDPI, vol. 12(1), pages 1-17, January.
    3. Indrajit Mandal & Swades Pal, 2022. "Assessing the impact of ecological insecurity on ecosystem service value in stone quarrying and crushing dominated areas," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11760-11784, October.
    4. 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.
    5. 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.

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