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Numerical Investigation of Aggregated Fuel Spatial Pattern Impacts on Fire Behavior

机译:聚集燃料空间格局对火行为影响的数值研究

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Landscape heterogeneity shapes species distributions, interactions, and fluctuations. Historically, in dry forest ecosystems, low canopy cover and heterogeneous fuel patterns often moderated disturbances like fire. Over the last century, however, increases in canopy cover and more homogeneous patterns have contributed to altered fire regimes with higher fire severity. Fire management strategies emphasize increasing within-stand heterogeneity with aggregated fuel patterns to alter potential fire behavior. Yet, little is known about how such patterns may affect fire behavior, or how sensitive fire behavior changes from fuel patterns are to winds and canopy cover. Here, we used a physics-based fire behavior model, FIRETEC, to explore the impacts of spatially aggregated fuel patterns on the mean and variability of stand-level fire behavior, and to test sensitivity of these effects to wind and canopy cover. Qualitative and quantitative approaches suggest that spatial fuel patterns can significantly affect fire behavior. Based on our results we propose three hypotheses: (1) aggregated spatial fuel patterns primarily affect fire behavior by increasing variability; (2) this variability should increase with spatial scale of aggregation; and (3) fire behavior sensitivity to spatial pattern effects should be more pronounced under moderate wind and fuel conditions.
机译:景观异质性影响物种分布,相互作用和波动。从历史上看,在干旱的森林生态系统中,低冠层覆盖和不均匀的燃料模式通常会减轻火灾等干扰。然而,在上个世纪,树冠覆盖的增加和更均一的模式导致了火灾状况发生了变化,火灾严重性也更高。消防管理策略强调通过增加燃料模式来增加车内异质性,以改变潜在的火灾行为。然而,人们对这种模式如何影响着火行为,或者从燃料模式到风向和遮篷的敏感火行为如何变化知之甚少。在这里,我们使用了基于物理的火灾行为模型FIRETEC,以探索空间聚集燃料模式对林分水平火灾行为的平均值和变异性的影响,并测试这些影响对风和冠层覆盖的敏感性。定性和定量方法表明,空间燃料模式可显着影响着火行为。根据我们的结果,我们提出了三个假设:(1)聚集的空间燃料模式主要通过增加变异性来影响着火行为; (2)这种变异性应随着聚集的空间规模而增加; (3)在适度的风和燃料条件下,火灾行为对空间格局效应的敏感性应更加明显。

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