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Linking fire ignitions hotspots and fuel phenology: The importance of being seasonal

机译:将着火点与燃料物候联系起来:季节性的重要性

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摘要

Fire ignitions tend to be aggregated in time and space creating a clustered spatio-temporal pattern that is mainly driven by climatic factors and the availability of ignition sources. The aim of this work is to identify the spatiotemporal distribution of wildfires hotspots in Sardinia (Italy) during 2000-2013 and to relate their dynamics with remotely-sensed NDVI-based fuel phenology patterns. We considered eleven bi-weekly time frames (TFs) and used kernel density (KD) estimation to spatialize the corresponding fire ignitions. Then, to identify zones of fire occurrence concentration, we performed a quartile classification of the KD values for each TF considered. Finally, we analyzed the spatio-temporal association between the ignitions hotspots and the remotely-sensed fuel phenology patterns by means of a correspondence analysis and a selectivity ratio. We found that wildfires hotspots are strictly related to anthropogenic pressure and to the spatio-temporal variation of fuel conditions in terms of both load and moisture: areas with less fires concentration proved to be mainly associated to coarse fuels with low seasonal NDVI variability; to the contrary, the fire hotspots resulted strictly correlated to fine fuels with high seasonal NDVI variability. Understanding the association between the seasonal distribution of wildfires hotspots and fuel phenology may allow the projection of fire ignition patterns to future, especially under changing climatic scenarios.
机译:火灾往往在时间和空间上聚集在一起,形成聚集的时空格局,主要由气候因素和点火源的可用性驱动。这项工作的目的是确定2000-2013年撒丁岛(意大利)野火热点的时空分布,并将其动态与基于NDVI的遥感燃料物候模式相关联。我们考虑了11个每两周一次的时间框架(TFs),并使用核密度(KD)估计来空间化相应的着火点。然后,为了确定火灾发生区域,我们对所考虑的每个TF进行了KD值的四分位数分类。最后,我们通过对应分析和选择性比分析了点火热点和遥感燃料物候模式之间的时空关联。我们发现野火热点与人为压力和燃料状况在负荷和湿度方面的时空变化密切相关:火浓度较低的地区主要与低NDVI季节变化的粗燃料有关;相反,火场热点与具有较高NDVI季节性变化的精细燃料密切相关。了解野火热点的季节性分布与燃料物候学之间的关联,可以预测未来的火种,特别是在气候变化的情况下。

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