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Modeling fire ignition patterns in Mediterranean urban interfaces

机译:模拟地中海城市界面中的火灾点火模式

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摘要

The rapid growth of built-up areas and infrastructure in the Mediterranean environment has resulted in the expansion of urban interfaces where fire can ignite and spread. Within this context, there is a need to understand spatial patterns of ignition distribution and the relative importance of influencing drivers. In response to this need we developed an analysis of fire ignition patterns using human and biophysical explanatory variables by firstly developing two different linear models to assess patterns of fire ignition points in terms of occurrence (presence/absence) and frequency (number of ignition points per area and secondly applying statistical tests to both models to evaluate the most important human and/or biophysical drivers influencing these patterns. The probability of ignition point occurrence and frequency were mapped using the predicted values of the two models in the Apulia region (southern Italy). Our findings revealed that dependent variables (fire ignition occurrence points and frequency) are negatively correlated with population density, but positively correlated for presence of urban areas with a significantly higher likelihood of ignition in cultivated (crop)land, forest, shrubland, grassland, and other natural spaces. The probability of ignition increased with elevation and slope. The maps show that the probability of ignition occurrence is relevant along the coast in the northern and southern parts of the region, especially in urban interfaces with a strong presence of shrubland and Mediterranean maquis. Ignition point frequency was predicted along the coast, particularly in the south and in some densely urbanized inland areas. By adopting the models, forest managers and decision makers may avail of the knowledge gained to design and promote sustainable fire management strategies in the Apulia region.
机译:地中海环境中建筑面积和基础设施的快速增长导致城市交界处的扩大,在那儿可以点燃火势并扩散。在这种情况下,需要了解点火分布的空间模式以及影响驾驶员的相对重要性。为响应这一需求,我们首先通过开发两个不同的线性模型来评估火灾点火点的模式(使用(存在/不存在)和发生频率(每点点火点的数量)),使用人类和生物物理解释变量对火灾的点火模式进行了分析。区域,然后对这两个模型进行统计检验,以评估影响这些模式的最重要的人类和/或生物物理驱动因素,并使用两个模型在意大利南部普利亚地区的预测值来绘制点火点发生的概率和频率。我们的研究结果表明,因变量(着火点和发生频率)与人口密度呈负相关,而在耕地(森林),森林,灌木丛,草地,和其他自然空间。着火的可能性随高度a而增加nd坡度。这些地图显示,在该地区北部和南部沿海地区,特别是在灌木丛和地中海小动物大量存在的城市交界处,着火的可能性相关。预测了沿海地区的着火点频率,特别是在南部和一些人口密集的内陆地区。通过采用这些模型,森林管理者和决策者可以利用所获得的知识来设计和推广普利亚地区的可持续火管理策略。

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