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Constructing an Ecological Security Pattern Coupled with Climate Change and Ecosystem Service Valuation: A Case Study of Yunnan Province

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  • Yilin Lin

    (Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
    Natural Resources Intelligent Governance Industry–University–Research Integration Innovation Base, Kunming University of Science and Technology, Kunming 650093, China)

  • Fengru Liu

    (Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
    Natural Resources Intelligent Governance Industry–University–Research Integration Innovation Base, Kunming University of Science and Technology, Kunming 650093, China)

  • Zhiyuan Ma

    (Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
    Natural Resources Intelligent Governance Industry–University–Research Integration Innovation Base, Kunming University of Science and Technology, Kunming 650093, China)

  • Junsan Zhao

    (Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
    Natural Resources Intelligent Governance Industry–University–Research Integration Innovation Base, Kunming University of Science and Technology, Kunming 650093, China)

  • Han Xue

    (Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
    Natural Resources Intelligent Governance Industry–University–Research Integration Innovation Base, Kunming University of Science and Technology, Kunming 650093, China)

Abstract

Ecosystem services provide the scientific foundation and optimization objectives for constructing ecological security patterns, and their spatial characteristics directly affect planning decisions such as ecological source identification and corridor layout. However, current methods for constructing ecological security patterns rely excessively on static spatial optimization of landscape structure and ecological processes, while overlooking the dynamic variations in ecosystem service values under climate change. Taking Yunnan Province as a case study, this paper calculates ecosystem service values, analyzes their spatiotemporal variations, and based on ecosystem service value hotspots, applies the MSPA model and circuit theory to identify ecological sources, corridors, pinch points, barrier areas, and improvement areas. On this basis, we construct and optimize the ecological security pattern of Yunnan Province and propose ecological protection strategies. The results show that: (1) From 2000 to 2030, ecosystem service values in Yunnan exhibit significant spatiotemporal heterogeneity. From 2000 to 2020, they first declined and then increased, with aquatic ecosystems contributing the most. Under future climate scenarios, ecosystem service values continue to increase, with the greatest growth under the SSP2-4.5 scenario. The spatial pattern is characterized by higher values in the central region and lower values in the eastern and western areas. (2) In 2020, 56 ecological sources were identified; under the SSP1-1.9 scenario, 61 were identified, while 57 were identified under both SSP2-4.5 and SSP5-8.5 scenarios. These sources are mainly distributed in northwestern Yunnan and the Nujiang and Lancang River basins, presenting a “more in the west, fewer in the east” pattern. (3) In 2020, 132 ecological corridors and 74 pinch points were identified. By 2030, under SSP1-1.9, there are 149 corridors and 84 pinch points; under SSP2-4.5, 135 corridors and 55 pinch points; and under SSP5-8.5, 134 corridors and 60 pinch points. (4) By integrating results across multiple scenarios, an ecological security pattern characterized as “three screens, two zones, six corridors, and multiple points” is constructed. Based on regional ecological background characteristics, differentiated strategies for ecological security protection of territorial space are proposed. This study provides a scientific reference for the synergistic optimization of ecosystem services and ecological security patterns under climate change.

Suggested Citation

  • Yilin Lin & Fengru Liu & Zhiyuan Ma & Junsan Zhao & Han Xue, 2025. "Constructing an Ecological Security Pattern Coupled with Climate Change and Ecosystem Service Valuation: A Case Study of Yunnan Province," Sustainability, MDPI, vol. 17(20), pages 1-29, October.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:20:p:9193-:d:1773122
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    References listed on IDEAS

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    1. Hazem T. Abd El-Hamid & Hoda Nour-Eldin & Nazih Y. Rebouh & Ahmed M. El-Zeiny, 2022. "Past and Future Changes of Land Use/Land Cover and the Potential Impact on Ecosystem Services Value of Damietta Governorate, Egypt," Land, MDPI, vol. 11(12), pages 1-15, November.
    2. Liang Lv & Shihao Zhang & Jie Zhu & Ziming Wang & Zhe Wang & Guoqing Li & Chen Yang, 2022. "Ecological Restoration Strategies for Mountainous Cities Based on Ecological Security Patterns and Circuit Theory: A Case of Central Urban Areas in Chongqing, China," IJERPH, MDPI, vol. 19(24), pages 1-21, December.
    3. Di Zhou & Wei Song, 2021. "Identifying Ecological Corridors and Networks in Mountainous Areas," IJERPH, MDPI, vol. 18(9), pages 1-19, April.
    4. Yongyong Fu & Wenjia Zhang & Feng Gao & Xu Bi & Ping Wang & Xiaojun Wang, 2024. "Ecological Security Pattern Construction in Loess Plateau Areas—A Case Study of Shanxi Province, China," Land, MDPI, vol. 13(5), pages 1-20, May.
    5. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    6. Ziyang Wang & Peiji Shi & Jing Shi & Xuebin Zhang & Litang Yao, 2023. "Research on Land Use Pattern and Ecological Risk of Lanzhou–Xining Urban Agglomeration from the Perspective of Terrain Gradient," Land, MDPI, vol. 12(5), pages 1-20, April.
    7. Chunguang Hu & Ziyi Wang & Yu Wang & Dongqi Sun & Jingxiang Zhang, 2022. "Combining MSPA-MCR Model to Evaluate the Ecological Network in Wuhan, China," Land, MDPI, vol. 11(2), pages 1-17, January.
    8. Tonghui Yu & Shanshan Jia & Binqian Dai & Xufeng Cui, 2025. "Spatial Configuration and Layout Optimization of the Ecological Networks in a High-Population-Density Urban Agglomeration: A Case Study of the Central Plains Urban Agglomeration," Land, MDPI, vol. 14(4), pages 1-30, April.
    9. Elmar Kriegler & Jae Edmonds & Stéphane Hallegatte & Kristie Ebi & Tom Kram & Keywan Riahi & Harald Winkler & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared climate policy assumptions," Climatic Change, Springer, vol. 122(3), pages 401-414, February.
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