Extreme fire severity patterns driven by climate change have deep consequences on vegetation, subsequent fire regimes and have consequences on the effectiveness of extinction. In this work, we aimed to determine if extreme fire severity defined as the 90th percentile of RdNBR has changed in Spain in the last 3 decades, if extreme fire severity patterns have differed among the different vegetation types and what drivers have influenced extreme fire severity in both summer and non-summer fires. We have used perimeters of large wildfires (≥100 ha, n = 1719) from 1985 to 2018 in four pyroregions and the main dominant vegetation types. We have analyzed time series for each pyroregion and vegetation type to determine if there were significant trends and breakpoints in extreme fire severity. We have also analyzed the effects of drought, weather, topography and vegetation on extreme fire severity in seasonal wildfires.

中文翻译：

---

1985-2018 年西班牙极端火灾严重程度的时空模式和驱动因素


气候变化驱动的极端火灾严重性模式对植被、随后的火灾状况产生深远影响，并对灭绝的有效性产生影响。在这项工作中，我们旨在确定定义为 RdNBR 第 90 个百分位数的极端火灾严重程度在过去 3 年中西班牙是否发生了变化，不同植被类型之间的极端火灾严重性模式是否不同，以及哪些驱动因素影响了夏季和非夏季火灾中的极端火灾严重程度。从 1985 年到 2018 年，我们在四个火区和主要的主要植被类型中使用了大型野火的周界（≥100 公顷，n = 1719）。我们分析了每个火灾区域和植被类型的时间序列，以确定极端火灾严重程度是否存在显著的趋势和断点。我们还分析了干旱、天气、地形和植被对季节性野火中极端火灾严重程度的影响。