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Application of Markov-chain model for vegetation restoration assessment at landslide areas caused by a catastrophic earthquake in Central Taiwan

Author

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  • Chuang, Chin-Wei
  • Lin, Chao-Yuan
  • Chien, Chang-Hai
  • Chou, Wen-Chieh

Abstract

The 921 earthquake caused a catastrophic disaster in Central Taiwan. Ten years have passed since the earthquake occurred. Vegetation succession is the basis for establishing a restoration reference which plays an important role in vegetation restoration at landslide sites. Generally, growth conditions for grass are easier and the growth rate is faster than that for trees. Therefore, grass can be considered a pioneer species or an important reference for the early vegetation succession stage. This is the reason why grass is required to be extracted from other land covers. Integrating remote sensing, geographic information system and image classification into vegetation succession models is very important. In this study, the Markov chain model was applied for vegetation restoration assessment and discussion. Chiufenershan and Ninety-nine peaks were selected as the study areas. Five SPOT satellite images are used for land cover mapping and vegetation restoration simulations. Four categories of land covers were extracted, including forest, grass, bare land and water, respectively. From the transitive probability matrix (derived from any two land covers), the results show that vegetation restoration at the Chiufenershan and Ninety-nine peaks landslide areas is ongoing, but that has been disturbed by natural disasters.

Suggested Citation

  • Chuang, Chin-Wei & Lin, Chao-Yuan & Chien, Chang-Hai & Chou, Wen-Chieh, 2011. "Application of Markov-chain model for vegetation restoration assessment at landslide areas caused by a catastrophic earthquake in Central Taiwan," Ecological Modelling, Elsevier, vol. 222(3), pages 835-845.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:3:p:835-845
    DOI: 10.1016/j.ecolmodel.2010.11.007
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    References listed on IDEAS

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    1. Chao-Yuan Lin & Chin-Wei Chuang & Wen-Tzu Lin & Wen-Chieh Chou, 2010. "Vegetation recovery and landscape change assessment at Chiufenershan landslide area caused by Chichi earthquake in central Taiwan," 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. 53(1), pages 175-194, April.
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    Cited by:

    1. Logofet, Dmitrii O., 2019. "Bilberry vs. cowberry in a scots pine boreal forest. II. Alternate modes of prediction," Ecological Modelling, Elsevier, vol. 405(C), pages 43-50.
    2. Logofet, Dmitrii O. & Maslov, Alexander A., 2019. "Bilberry vs. cowberry in a Scots pine boreal forest: Exclusion or coexistence in a post-fire succession?," Ecological Modelling, Elsevier, vol. 401(C), pages 134-143.
    3. Tianlin Zhai & Jing Wang & Ying Fang & Jingjing Liu & Longyang Huang & Kun Chen & Chenchen Zhao, 2021. "Identification and Prediction of Wetland Ecological Risk in Key Cities of the Yangtze River Economic Belt: From the Perspective of Land Development," Sustainability, MDPI, vol. 13(1), pages 1-17, January.
    4. Zongpan Bian & Dongdong Zhang & Jun Xu & Hongtao Tang & Zhuoli Bai & Yan Li, 2022. "Study on the Evolution Law of Surface Landscape Pattern in Earthquake-Stricken Areas by Remote Sensing: A Case Study of Jiuzhaigou County, Sichuan Province," Sustainability, MDPI, vol. 14(20), pages 1-23, October.
    5. Liulei Bao & Guangcheng Zhang & Xinli Hu & Shuangshuang Wu & Xiangdong Liu, 2021. "Stage Division of Landslide Deformation and Prediction of Critical Sliding Based on Inverse Logistic Function," Energies, MDPI, vol. 14(4), pages 1-24, February.

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