Wildfire precursors show complementary predictability in different timescales

Yuquan Qu (), Diego G. Miralles, Sander Veraverbeke, Harry Vereecken and Carsten Montzka
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Yuquan Qu: Institute of Bio- and Geosciences: Agrosphere (IBG-3), Forschungszentrum Jülich GmbH
Diego G. Miralles: Ghent University
Sander Veraverbeke: Vrije Universiteit Amsterdam
Harry Vereecken: Institute of Bio- and Geosciences: Agrosphere (IBG-3), Forschungszentrum Jülich GmbH
Carsten Montzka: Institute of Bio- and Geosciences: Agrosphere (IBG-3), Forschungszentrum Jülich GmbH

Nature Communications, 2023, vol. 14, issue 1, 1-9

Abstract: Abstract In most of the world, conditions conducive to wildfires are becoming more prevalent. Net carbon emissions from wildfires contribute to a positive climate feedback that needs to be monitored, quantified, and predicted. Here we use a causal inference approach to evaluate the influence of top-down weather and bottom-up fuel precursors on wildfires. The top-down dominance on wildfires is more widespread than bottom-up dominance, accounting for 73.3% and 26.7% of regions, respectively. The top-down precursors dominate in the tropical rainforests, mid-latitudes, and eastern Siberian boreal forests. The bottom-up precursors dominate in North American and European boreal forests, and African and Australian savannahs. Our study identifies areas where wildfires are governed by fuel conditions and hence where fuel management practices may be more effective. Moreover, our study also highlights that top-down and bottom-up precursors show complementary wildfire predictability across timescales. Seasonal or interannual predictions are feasible in regions where bottom-up precursors dominate.

Date: 2023
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DOI: 10.1038/s41467-023-42597-5

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