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Ecosystem Health Assessment of World Natural Heritage Sites Based on Remote Sensing and Field Sampling Verification: Bayanbulak as Case Study

Author

Listed:
  • Zhi Wang

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Zhaoping Yang

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Hui Shi

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Fang Han

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Qin Liu

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jianwei Qi

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yayan Lu

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Monitoring the ecosystem health for world natural heritage sites is essential for protecting them and benefits the formulation of more targeted protection policies. This study used Bayanbulak world natural heritage site as a case, established a framework for assessing the ecosystem health through remote sensing based on the parameters of ecosystem vigour, organization, resilience, and services. Then, we verified the obtained results through field sampling. The results show that the ecosystem health in the overall study area had declined over time, however, the health within the property zone remained at high levels and stable. The area proportion of low health was low and primarily distributed in the buffer zone. Thus, in general, the ecosystem in the study area was healthy. Besides, the ecosystem health exhibited distinct spatial agglomeration characteristics, and the degree of agglomeration enhanced over time. In addition, the field vegetation samplings were consistent with the changes in the ecosystem health levels, therefore, the result of RS monitoring of ecosystem health were credible. Thus, this study provides a scientific basis for heritage managers to formulate suitable ecological protection policies and should aid further research on the ecological monitoring of heritage sites.

Suggested Citation

  • Zhi Wang & Zhaoping Yang & Hui Shi & Fang Han & Qin Liu & Jianwei Qi & Yayan Lu, 2020. "Ecosystem Health Assessment of World Natural Heritage Sites Based on Remote Sensing and Field Sampling Verification: Bayanbulak as Case Study," Sustainability, MDPI, vol. 12(7), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:7:p:2610-:d:336945
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    References listed on IDEAS

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    3. Qin Liu & Zhaoping Yang & Fang Han & Hui Shi & Zhi Wang & Xiaodong Chen, 2019. "Ecological Environment Assessment in World Natural Heritage Site Based on Remote-Sensing Data. A Case Study from the Bayinbuluke," Sustainability, MDPI, vol. 11(22), pages 1-18, November.
    4. Nitu Wu & Aijun Liu & Yongfang Wang & Lanhua Li & Lumengqiqige Chao & Guixiang Liu, 2019. "An Assessment Framework for Grassland Ecosystem Health with Consideration of Natural Succession: A Case Study in Bayinxile, China," Sustainability, MDPI, vol. 11(4), pages 1-17, February.
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    Cited by:

    1. Dan Ye & Liu Yang & Min Zhou, 2023. "Spatiotemporal Variation in Ecosystem Health and Its Driving Factors in Guizhou Province," Land, MDPI, vol. 12(7), pages 1-23, July.
    2. Lv, Zunyou & Maimaiti, Yimamu, 2026. "Spatiotemporal evolution and predictive analysis of vegetation patterns in the Bayanbulak Grassland under climate change," Chaos, Solitons & Fractals, Elsevier, vol. 202(P1).
    3. 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.
    4. Jiancheng Yu & Shuting Guo & Shiyuan Wang & Yanyun Luo, 2025. "Multi-Scenario Simulation of Land Use Change and Ecosystem Health Assessment in Chengdu Metropolitan Area Based on SD-PLUS-VORS Coupled Modeling," Sustainability, MDPI, vol. 17(7), pages 1-23, April.
    5. Ruiyao Xu & Zhaoping Yang & Xiaoliang Xu, 2022. "OUV Analysis and Global Comparative Study of Karakoram-Pamir World Natural Heritage Potential Area," Sustainability, MDPI, vol. 14(19), pages 1-15, October.
    6. Jingwei Wang & Jinhe Zhang & Peijia Wang & Xiaobin Ma & Liangjian Yang & Leying Zhou, 2022. "Progress in Ecosystem Health Research and Future Prospects," Sustainability, MDPI, vol. 14(23), pages 1-22, November.

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