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September 18, 2025Forests6 citationsOpen Access

Climatic and Forest Drivers of Wildfires in South Korea (1980–2024): Trends, Predictions, and the Role of the Wildland–Urban Interface

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JPJ.A. ParkJSJi-Hoon SuhMBMinho Baek

Key Points

  • Each 1 m s−1 increase in peak wind expands burned area by about 8.5 ha.
  • A 1% rise in humidity reduces the burned area by approximately 3 ha, highlighting vulnerability.
  • Machine learning methods notably increased explanatory power from R2 = 0.62 to 0.66 in wildfire prediction.
  • Burned area spiked to 29,905 ha during 2020–2024, underscoring growing wildfire risk in urban areas.

Abstract

Wildfire activity is intensifying globally as climate change amplifies heat waves, droughts and wind extremes, threatening biodiversity. South Korea (63% forested) has experienced a sharp rise in large fires. We analysed 905 wildfires ≥ 5 ha from 1980–2024, linking burned area to maximum wind speed, relative humidity, temperature and forest structure (conifer, broadleaf and mature–stand ratios, forest cover). Pearson correlations, HC3-corrected regression, a 1000-tree Random Forest and five-fold validated XGBoost interpreted with SHAP captured linear and nonlinear effects; WUI influences were examined qualitatively. Each 1 m s−1 increase in peak wind expanded burned area by ~8.5 ha, whereas a 1% rise in humidity reduced area by ~3 ha (p < 0.01). Broadleaf prevalence restrained spread, while high conifer and mature–stand proportions enlarged it. Machine learning raised explanatory power from R2 = 0.62 to 0.66 and showed that very dry air, strong winds and conifer cover above half the landscape coincided with the largest events. Burned area during 2020–2024 reached 29,905 ha—sevenfold that of 2015–2019. These results imply that extreme fire weather, flammable pine fuels and expanding WUI settlements jointly elevate risk; implementing real-time meteorological thresholds, targeted fuel treatments and stricter WUI zoning can help mitigate this risk.

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Cite This Study

Park et al. (2025) studied this question.

synapsesocial.com/papers/68d461c231b076d99fa60ea5https://doi.org/10.3390/f16091476
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