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Spatiotemporal Characteristics and Driving Force of Ecosystem Health in an Important Ecological Function Region in China

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  • Wei Shen

    (College of Environment and Planning, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Henan University, Kaifeng 475004, China)

  • Zhicheng Zheng

    (College of Environment and Planning, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Henan University, Kaifeng 475004, China)

  • Yaochen Qin

    (College of Environment and Planning, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Henan University, Kaifeng 475004, China)

  • Yang Li

    (College of Environment and Planning, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Henan University, Kaifeng 475004, China)

Abstract

Quantitative assessment can scientifically determine the health status of a regional ecosystem, identify regional eco-environmental problems, and assist in promoting regional sustainable development and environmental management. Taking China’s important ecological function region, the Yellow River affected area as an example, this study constructed an extended evaluation index system based on the pressure-state-response framework, and remote sensing and GIS techniques were used to dynamically evaluate the spatial and temporal characteristics of ecosystem health in the study area. Furthermore, influencing factors on ecosystem health in the study area were extensively analyzed using the GeoDetector model. The results show that the ecosystem health level in the study area shows significant spatial heterogeneity from 1995–2015, and showed a fluctuating change process. Areas with large fluctuations in health level were mainly distributed in extreme climate areas, ecologically fragile areas, on plains and in hilly areas. Spatial differences of ecosystem health were well explained by using the biological abundance index, relief degree of land surface, soil type, annual average precipitation, elevation, annual average temperature, and population density. Influencing factors have significant interactive effects on ecosystem health.

Suggested Citation

  • Wei Shen & Zhicheng Zheng & Yaochen Qin & Yang Li, 2020. "Spatiotemporal Characteristics and Driving Force of Ecosystem Health in an Important Ecological Function Region in China," IJERPH, MDPI, vol. 17(14), pages 1-19, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:14:p:5075-:d:384382
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    References listed on IDEAS

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    1. Henrique Chaves & Suzana Alipaz, 2007. "An Integrated Indicator Based on Basin Hydrology, Environment, Life, and Policy: The Watershed Sustainability Index," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(5), pages 883-895, May.
    2. Song, Wei & Deng, Xiangzheng & Yuan, Yongwei & Wang, Zhan & Li, Zhaohua, 2015. "Impacts of land-use change on valued ecosystem service in rapidly urbanized North China Plain," Ecological Modelling, Elsevier, vol. 318(C), pages 245-253.
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    Cited by:

    1. Zhijie Wang & Yan Liu & Yixin Li & Yuan Su, 2022. "Response of Ecosystem Health to Land Use Changes and Landscape Patterns in the Karst Mountainous Regions of Southwest China," IJERPH, MDPI, vol. 19(6), pages 1-18, March.
    2. Run Zhao & Chaofeng Shao & Rong He, 2021. "Spatiotemporal Evolution of Ecosystem Health of China’s Provinces Based on SDGs," IJERPH, MDPI, vol. 18(20), pages 1-19, October.
    3. Yi Deng & Ziyi Mao & Jinling Huang & Faling Yan & Shenghai Han & Anqi Li, 2022. "Spatial Patterns of Natural Protected Areas and Construction of Protected Area Groups in Guangdong Province," IJERPH, MDPI, vol. 19(22), pages 1-25, November.
    4. Xiaolu Yan & Xinyuan Li & Chenghao Liu & Jiawei Li & Jingqiu Zhong, 2022. "Scales and Historical Evolution: Methods to Reveal the Relationships between Ecosystem Service Bundles and Socio-Ecological Drivers—A Case Study of Dalian City, China," IJERPH, MDPI, vol. 19(18), pages 1-20, September.
    5. Hang Shu & Chunwang Xiao & Ting Ma & Weiguo Sang, 2021. "Ecological Health Assessment of Chinese National Parks Based on Landscape Pattern: A Case Study in Shennongjia National Park," IJERPH, MDPI, vol. 18(21), pages 1-15, October.
    6. Wei Shen & Yang Li, 2022. "Multi-Scale Assessment and Spatio-Temporal Interaction Characteristics of Ecosystem Health in the Middle Reaches of the Yellow River of China," IJERPH, MDPI, vol. 19(23), pages 1-21, December.
    7. Jinmeng Lee & Xiaojun Yin & Honghui Zhu & Xin Zheng, 2023. "Geographical Detector-Based Research of Spatiotemporal Evolution and Driving Factors of Oasification and Desertification in Manas River Basin, China," Land, MDPI, vol. 12(8), pages 1-20, July.

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