Interpretable machine learning reveals daytime and nighttime forest fire point drivers in Guizhou.

In the all-fire and daytime models, Dis_Highw generally showed a negative trend with increasing distance, whereas Dis_Natw showed an overall positive trend.

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Studies have shown that forest fire activity in this region is significantly influenced by the El Niño-Southern Oscillation, 19 , 20 and under the context of climate change, a clear trend of increasing nighttime fire risk may emerge.

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