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Coupling Coordination Analysis and Prediction of Landscape Ecological Risks and Ecosystem Services in the Min River Basin

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  • Shihe Zhang

    (State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China
    College of Geographical Science, Fujian Normal University, Fuzhou 350007, China)

  • Quanlin Zhong

    (State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China
    College of Geographical Science, Fujian Normal University, Fuzhou 350007, China)

  • Dongliang Cheng

    (State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China
    College of Geographical Science, Fujian Normal University, Fuzhou 350007, China)

  • Chaobin Xu

    (State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China
    College of Geographical Science, Fujian Normal University, Fuzhou 350007, China)

  • Yunni Chang

    (State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China
    College of Geographical Science, Fujian Normal University, Fuzhou 350007, China)

  • Yuying Lin

    (College of Tourism, Fujian Normal University, Fuzhou 350117, China
    The Higher Educational Key Laboratory for Smart Tourism of Fujian Province, Fuzhou 350007, China
    Postdoctoral Research Station of Ecology, Fujian Normal University, Fuzhou 350007, China)

  • Baoyin Li

    (State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China
    College of Geographical Science, Fujian Normal University, Fuzhou 350007, China)

Abstract

Watershed landscape ecological security and ecosystem service functions are the material basis and environmental guarantee for promoting socioeconomic development. Analyzing the spatiotemporal characteristics of landscape ecological risks (LERs) and ecosystem services (ESs) and exploring the coupling coordination relationship between the two are of great significance for promoting the construction of ecological civilization and achieving sustainable development in the watershed. With the Min River Basin as the study area, the landscape ecological risk assessment, Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST), and Carnegie Ames–Stanford Approach (CASA) models were used to evaluate the LERs and ESs based on the shared socioeconomic pathways (SSPs), and the patch-generating land use simulation (PLUS) model was used to predict the land use distribution of the Min River Basin in 2030. On this basis, the coupling coordination degree model was used to explore the coupling coordination relationship between the LERs and ESs. The results show that, from 2000 to 2020, the LER of the Min River Basin gradually decreased, and the overall spatial distribution pattern was “high in the north and low in the south”. The ES of the Min River Basin initially decreased and then increased, showing a spatial distribution pattern of “low in the south and high in the north”. Among the SSPs in 2030, the LER is the largest under the SSP3 scenario and the smallest under the SSP4 scenario. The ES improvement is the most significant under the SSP1 scenario and the lowest under the SSP3 scenario. From 2000 to 2030, the coupling coordination degree of the Min River Basin first decreased and then increased, showing a spatial distribution pattern of “high in the south and low in the north”. Among the five SSPs, the coupling coordination degree was the highest under SSP1. The spatial distribution of urban area is the main driving factor affecting the coupling coordination relationship between the LER and ES, and the development of social and economy is the beginning of landscape pattern optimization.

Suggested Citation

  • Shihe Zhang & Quanlin Zhong & Dongliang Cheng & Chaobin Xu & Yunni Chang & Yuying Lin & Baoyin Li, 2022. "Coupling Coordination Analysis and Prediction of Landscape Ecological Risks and Ecosystem Services in the Min River Basin," Land, MDPI, vol. 11(2), pages 1-18, February.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:2:p:222-:d:741129
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    Cited by:

    1. Chunfen Zeng & Jun He & Qingqing He & Yuqing Mao & Boya Yu, 2022. "Assessment of Land Use Pattern and Landscape Ecological Risk in the Chengdu-Chongqing Economic Circle, Southwestern China," Land, MDPI, vol. 11(5), pages 1-17, April.
    2. Guo Cai & Yuying Lin & Fazi Zhang & Shihe Zhang & Linsheng Wen & Baoyin Li, 2022. "Response of Ecosystem Service Value to Landscape Pattern Changes under Low-Carbon Scenario: A Case Study of Fujian Coastal Areas," Land, MDPI, vol. 11(12), pages 1-23, December.
    3. Adib Ahmad Kurnia & Ernan Rustiadi & Akhmad Fauzi & Andrea Emma Pravitasari & Izuru Saizen & Jan Ženka, 2022. "Understanding Industrial Land Development on Rural-Urban Land Transformation of Jakarta Megacity’s Outer Suburb," Land, MDPI, vol. 11(5), pages 1-19, April.
    4. Jun Ma & Qiang Yu & Huiyuan Wang & Linzhe Yang & Ruirui Wang & Minzhe Fang, 2022. "Construction and Optimization of Wetland Landscape Ecological Network in Dongying City, China," Land, MDPI, vol. 11(8), pages 1-22, August.
    5. Wenjuan Huang & Chonggang Liu, 2022. "On the Optimal Allocation of Urban and Rural Land Resources in Rapidly Urbanizing Areas of the Yangtze River Delta, China: A Case Study of the Nanjing Jiangbei New Area," Land, MDPI, vol. 11(8), pages 1-18, July.
    6. Zechen Wang & Zhenqin Shi & Jingeng Huo & Wenbo Zhu & Yanhui Yan & Na Ding, 2023. "Construction and Optimization of an Ecological Network in Funiu Mountain Area Based on MSPA and MCR Models, China," Land, MDPI, vol. 12(8), pages 1-13, August.

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