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The Spatiotemporal Evolution Analysis of Ecosystem Pattern in Wenchuan (Magnitude 8.0) Earthquake Disaster Area, China

Author

Listed:
  • Bing Zhang

    (College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
    Satellite Environment Center of the Ministry of Ecology and Environment, Beijing 100094, China)

  • Peng Hou

    (Satellite Environment Center of the Ministry of Ecology and Environment, Beijing 100094, China)

  • Hai-tao Xu

    (College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
    Satellite Environment Center of the Ministry of Ecology and Environment, Beijing 100094, China)

  • Yan-hong Zhao

    (Satellite Environment Center of the Ministry of Ecology and Environment, Beijing 100094, China
    College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China)

  • Jun-jun Bai

    (Satellite Environment Center of the Ministry of Ecology and Environment, Beijing 100094, China
    Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

  • Xian-lin Liu

    (College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China)

Abstract

The ecological system is the basis of human survival and global environmental protection. In the process of development, countries will pay close attention to the changing state of the ecosystem. Taking the ecosystem pattern as the research object, a three-layer analysis method was proposed. The transfer matrix and landscape index were used as the first layer to analyze the basic changes. Grey correlation, range-coupling coordination and relative priority were used as the second layer to analyze the reasons of the change. The interval-entropy weight, TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution), was used as the third layer to evaluate the quality of the change. The ten counties in the worst-hit areas of the Wenchuan earthquake were analyzed from different angles, with county region, intensity zone and ecosystem as the objects, and the following results were obtained: (1) Taking Mianzhu City as an example, from 2000 to 2010 and 2018, the conversion ratio of forest, grassland and farmland is 54.24, 59.19, 17.21, 20.06, 37.39 and 52.86%, which were distributed in the north, central and southern parts, respectively. (2) Taking the ninth intensity zone as an example, the forest landscape fragmentation increased, disturbance decreased, and species diversity increased. There is a high influence and restriction relationship between ecosystem and landscape pattern in the total landscape area change. Additionally, the relationship between them tends to develop in a benign way. As of 2018, it is in the change state of moderate imbalance-ecosystem lag. (3) Taking the county ecosystem change as an example, urban type is the best in the counties of ecosystem change, of which Shifang is the best and Pingwu is the worst. The results show that this method can effectively compare and analyze the changes in the multi-regional ecosystem pattern, which has the characteristics of universality and can also be applied to the research of ecosystem pattern change in special regions.

Suggested Citation

  • Bing Zhang & Peng Hou & Hai-tao Xu & Yan-hong Zhao & Jun-jun Bai & Xian-lin Liu, 2021. "The Spatiotemporal Evolution Analysis of Ecosystem Pattern in Wenchuan (Magnitude 8.0) Earthquake Disaster Area, China," IJERPH, MDPI, vol. 18(5), pages 1-13, March.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:5:p:2490-:d:509612
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    References listed on IDEAS

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    1. Jianying Xu & Feifei Fan & Yanxu Liu & Jianquan Dong & Jixing Chen, 2019. "Construction of Ecological Security Patterns in Nature Reserves Based on Ecosystem Services and Circuit Theory: A Case Study in Wenchuan, China," IJERPH, MDPI, vol. 16(17), pages 1-15, September.
    2. Hanif Malekpoor & Konstantinos Chalvatzis & Nishikant Mishra & Mukesh Kumar Mehlawat & Dimitrios Zafirakis & Malin Song, 2018. "Integrated grey relational analysis and multi objective grey linear programming for sustainable electricity generation planning," Annals of Operations Research, Springer, vol. 269(1), pages 475-503, October.
    3. Wang, Jieyu & Wang, Shaojian & Li, Shijie & Feng, Kuishuang, 2019. "Coupling analysis of urbanization and energy-environment efficiency: Evidence from Guangdong province," Applied Energy, Elsevier, vol. 254(C).
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