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首页> 外文期刊>Ecosystems >Fire Severity in a Large Fire in a Pinus pinaster Forest is Highly Predictable from Burning Conditions, Stand Structure, and Topography
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Fire Severity in a Large Fire in a Pinus pinaster Forest is Highly Predictable from Burning Conditions, Stand Structure, and Topography

机译:根据燃烧条件,林分结构和地形,可以高度预测松树松林大火的严重程度

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摘要

Identifying what factors control fire severity in large fires is critical for understanding fire impacts and planning pre- and post-fire management. Here, we determined the role of pre-fire stand structure, directional topography, and burning conditions on fire severity in a large fire (12,697 ha) in Central Spain that burned a Pinus pinaster forest on July 2005. Fire severity was estimated using RdNBR based on Landsat 5 TM images. Forest stand structure was reconstructed by systematically sampling the burned area (n = 236). Burning conditions were established using weather information and a map of fire progression, based on which fire rate of spread and propagation direction were calculated. Topographic features in the direction of the fire-front were derived from a digital elevation model. Boosted regression tree (BRT) analysis was employed to relate each group of variables or the entire set to RdNBR. Fire severity was best explained by burning conditions (cross-validation correlation [CVC] 0.56), followed by pre-fire stand structure (CVC 0.34), and directional topography (CVC 0.17). Combining the three sets of variables, CVC increased to 0.71. Higher fire severity occurred in areas burning upslope, with high fire rate of spread, with heterogeneous and dense stands of P. pinaster and Quercus pyrenaica in the understory, receiving high solar radiation, among other characteristics. Fire severity was the result of interactive relationships between burning conditions, pre-fire stand structure, and directional topography. Thus, determining factors controlling fire severity from static stand structure or topography, as is often done, may not be appropriate.
机译:确定哪些因素可控制大火中的火灾严重性,对于了解火灾影响和规划火灾前后的管理至关重要。在这里,我们确定了2005年7月西班牙中部大火烧樟子松林的大火(12,697公顷)中,火灾前的林分结构,定向地形和燃烧条件对火灾严重性的作用。使用基于RdNBR的估计火灾严重性在Landsat 5 TM图像上。通过对被烧面积(n = 236)进行系统采样来重建林分结构。利用天气信息和火势图来确定燃烧条件,并据此计算火势蔓延和传播方向。从数字高程模型中得出沿火前方向的地形特征。采用增强回归树(BRT)分析将每组变量或整个变量集与RdNBR相关联。火灾严重程度最好用燃烧条件(交叉验证相关性[CVC] 0.56),其次是火前架结构(CVC 0.34)和定向地形(CVC 0.17)来解释。结合这三组变量,CVC增加到0.71。较高的火灾严重性发生在高坡度燃烧的地区,具有较高的蔓延率,底层的P. pinaster和Quercus pyrenaica的林分异质密集,并具有较高的太阳辐射等特点。火灾严重性是燃烧条件,火灾前的架子结构和定向地形之间相互作用关系的结果。因此,像通常那样从静态的展台结构或地形确定控制火灾严重性的因素可能是不合适的。

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