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Exploring Expedient Protected Area for Ecosystem Services: Decision-Making Method with a New Algorithm

Author

Listed:
  • Yumeng Zhang

    (School of Geography and Tourism, Shaanxi Normal University; Xi’an 710119, China)

  • Jing Li

    (School of Geography and Tourism, Shaanxi Normal University; Xi’an 710119, China)

  • Zixiang Zhou

    (College of Geomatics, X’ian University of Science and Technology; Xi’an 710054, China)

Abstract

From the point of view of ecological environment protection, the concepts of biodiversity, carbon sequestration, water production and culture have been selected to evaluate the ecosystem services of Guanzhong-Tianshui Economic Zone. A multi-criterion decision-making method is applied to select the expedient protected area of the study area, which can provide abundant natural resources and a basis for the maintenance of ecological balance. In this paper, by setting up different risk values and weights to calculate OWA (ordered weighted averaging) operator, the scenario of the expedient protected area with the highest tradeoff value is selected. This study analyzes and evaluates ecosystem services in the study area by combining natural and human factors, and the OWA operator is used to balance the trade-offs between different ecosystem services, as well as select the expedient protected areas, which provides a reference for improving ecosystem services in the study area.

Suggested Citation

  • Yumeng Zhang & Jing Li & Zixiang Zhou, 2019. "Exploring Expedient Protected Area for Ecosystem Services: Decision-Making Method with a New Algorithm," Sustainability, MDPI, vol. 11(20), pages 1-16, October.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:20:p:5599-:d:275313
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    References listed on IDEAS

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    2. Hui Wen & Jiquan Chen & Zhifang Wang, 2020. "Disproportioned Performances of Protected Areas in the Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 12(16), pages 1-15, August.
    3. Xinyue Ke & Ni Wang & Long Yu & Zihan Guo & Tianming He, 2023. "Spatial Distribution of Water Risk Based on Atlas Compilation in the Shaanxi Section of the Qinling Mountains, China," Sustainability, MDPI, vol. 15(12), pages 1-21, June.

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