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Spatial and temporal variability of forest fires in the Republic of Korea over 1991–2020

Author

Listed:
  • Jungyoon Kim

    (Seoul National University)

  • Taehyun Kim

    (Seoul National University)

  • Ye-Eun Lee

    (Forest Fire Center of Gangwon State)

  • Sangjun Im

    (Seoul National University
    Seoul National University)

Abstract

Forest fires have increased over the last several decades in many regions. Quantifying the general patterns of frequency, areal extent, and seasonality is crucial for understanding fire dynamics. This study aimed to investigate whether the spatial and temporal trends in forest fires have changed across South Korea. The Mann–Kendall test and Sen’s slope estimation were used to analyze the temporal trends in forest fire statistics from 1991 to 2020. The spatial dispersion of fire activity was detected using a standard deviation ellipse and hotspot analysis. An average of 451 fires have occurred annually over the last 30 years, with a yearly increase of 5.82 fires. The burned area in April and May accounted for 80.7% of the annual burned area. The length of the fire season in 2006–2020 was 25 days longer than that in 1991–2005. The risk of large fires is increasing and becoming more concentrated in the northeastern region, such as the Gwangwon and Gyeongsangbuk Provinces of South Korea. Both climate change and forest recovery have led to South Korea becoming more prone to fires. However, forest fires are not burning more intensely nor charring more areas than they did previously. This is probably due to the implementation of surveillance and initial attack systems. Targeted forest fire suppression policies can help to effectively reduce the risk of forest fires in South Korea.

Suggested Citation

  • Jungyoon Kim & Taehyun Kim & Ye-Eun Lee & Sangjun Im, 2025. "Spatial and temporal variability of forest fires in the Republic of Korea over 1991–2020," 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. 121(8), pages 9801-9821, May.
    • Handle: RePEc:spr:nathaz:v:121:y:2025:i:8:d:10.1007_s11069-025-07169-4
    DOI: 10.1007/s11069-025-07169-4
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    References listed on IDEAS

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    1. M. Flannigan & B. Amiro & K. Logan & B. Stocks & B. Wotton, 2006. "Forest Fires and Climate Change in the 21 ST Century," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 11(4), pages 847-859, July.
    2. Chris Chatfield, 1995. "Model Uncertainty, Data Mining and Statistical Inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 158(3), pages 419-444, May.
    3. W. Matt Jolly & Mark A. Cochrane & Patrick H. Freeborn & Zachary A. Holden & Timothy J. Brown & Grant J. Williamson & David M. J. S. Bowman, 2015. "Climate-induced variations in global wildfire danger from 1979 to 2013," Nature Communications, Nature, vol. 6(1), pages 1-11, November.
    4. Matthew W. Jones & Alysha I. Coppola & Cristina Santín & Thorsten Dittmar & Rudolf Jaffé & Stefan H. Doerr & Timothy A. Quine, 2020. "Fires prime terrestrial organic carbon for riverine export to the global oceans," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
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