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Spatio-Temporal Processes and Characteristics of Vegetation Recovery in the Earthquake Area: A Case Study of Wenchuan, China

Author

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  • Jingzhong Li

    (School of Urban and Environment Sciences, Xuchang University, Xuchang 461000, China
    Weifang Institute of Modern Agriculture and Ecological Environment, Weifang 261041, China)

  • Xiao Xie

    (Weifang Institute of Modern Agriculture and Ecological Environment, Weifang 261041, China
    Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
    Key Laboratory for Environmental Computation and Sustainability, Shenyang 110016, China)

  • Bingyu Zhao

    (Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
    University of Chinese Academy of Sciences, Beijing 100039, China)

  • Xiao Xiao

    (Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
    University of Chinese Academy of Sciences, Beijing 100039, China)

  • Bing Xue

    (Weifang Institute of Modern Agriculture and Ecological Environment, Weifang 261041, China
    Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
    Key Laboratory for Environmental Computation and Sustainability, Shenyang 110016, China)

Abstract

The quantitative and qualitative assessment of post-disaster vegetation damage and recovery in the core area of the Wenchuan earthquake is of great significance for the restoration and reconstruction of natural ecosystems and the construction of human settlements in China. This study used time series analysis to determine the time of MODIS data and used the data to study the vegetation damage and restoration in the core area of the Wenchuan earthquake. The determined MODIS images were used to quantitatively analyze a series of vegetation damage changes and the vegetation recovery rate in the core area of the Wenchuan earthquake before and after the earthquake. By applying the topographic factors, we analyzed the spatial and temporal characteristics of the dynamic changes of vegetation damage and the recovery rate in the disaster area. The results show that the study area’s vegetation damage was correlated to topographic factors and distance from towns. Besides, the overall vegetation restoration after the disaster was relatively optimistic. In some areas, the vegetation restoration level even exceeded the vegetation coverage level before the disaster. The recovery study of MODIS-NDVI showed a specific lag delay effect on the image of vegetation cover. The vegetation damage and the recovery rate of vegetation cover were significantly correlated with the distance from towns and the topographic factor. Overall, the results contribute to the theoretical support for the damage and recovery of vegetation in the core area affected by the earthquake.

Suggested Citation

  • Jingzhong Li & Xiao Xie & Bingyu Zhao & Xiao Xiao & Bing Xue, 2022. "Spatio-Temporal Processes and Characteristics of Vegetation Recovery in the Earthquake Area: A Case Study of Wenchuan, China," Land, MDPI, vol. 11(4), pages 1-17, March.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:4:p:477-:d:780104
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    References listed on IDEAS

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    1. Xia Cui & Cerian Gibbes & Jane Southworth & Peter Waylen, 2013. "Using Remote Sensing to Quantify Vegetation Change and Ecological Resilience in a Semi-Arid System," Land, MDPI, vol. 2(2), pages 1-23, April.
    2. Quanjun Jiao & Bing Zhang & Liangyun Liu & Zhenwang Li & Yuemin Yue & Yong Hu, 2014. "Assessment of spatio-temporal variations in vegetation recovery after the Wenchuan earthquake using Landsat data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(2), pages 1309-1326, January.
    3. Yang Liu & Ronggao Liu & Quansheng Ge, 2010. "Evaluating the vegetation destruction and recovery of Wenchuan earthquake using MODIS data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 54(3), pages 851-862, September.
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    Cited by:

    1. He Liu & Xueming Li & Yingying Guan & Songbo Li & He Sun, 2023. "Comprehensive Evaluation and Analysis of Human Settlements’ Suitability in the Yangtze River Delta Based on Multi-Source Data," IJERPH, MDPI, vol. 20(2), pages 1-18, January.
    2. Jun Wang & Zhihua Wang & Hongbin Cheng & Junmei Kang & Xiaoliang Liu, 2022. "Land Cover Changing Pattern in Pre- and Post-Earthquake Affected Area from Remote Sensing Data: A Case of Lushan County, Sichuan Province," Land, MDPI, vol. 11(8), pages 1-24, July.
    3. Wei Zhang & Liang Zhou & Yan Zhang & Zhijie Chen & Fengning Hu, 2022. "Impacts of Ecological Migration on Land Use and Vegetation Restoration in Arid Zones," Land, MDPI, vol. 11(6), pages 1-19, June.

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