Geospatial analysis of woodland fire occurrence and recurrence in Italy

L. D. Mancini, A. Barbati, P. Corona
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引用次数: 13

Abstract

This research note aims to exemplify the potential of annual time series of wildfire geodatasets to quantify fire occurrence and recurrence amongst different woodland types at large scale, under an international forestry perspective. The study covers a time series of areas affected by wildfire between 2007 and 2014 in Italy. A GIS operation of geometric intersection was carried out between burned areas geodataset time series and Corine Land Cover. Mediterranean pine forest, high maquis, transitional woodland-shrub and high oro-Mediterranean pine forest are the woodland types most preferred in terms of fire occurrence and recurrence. Large fires and megafires hold a significant share of total burned area. An unexpected finding is the huge impact of fires in wildland-urban-interface areas. The proposed analysis provides spatial information that is central to any approach to fire management at large scale. Research findings provide support that can be used e.g. for advancements in research, prioritization of fire prevention, suppression measures, economic incentive allocation, and urban and peri-urban planning.
意大利林地火灾发生和复发的地理空间分析
本研究报告旨在举例说明,在国际林业视角下,野火地理数据集的年度时间序列在大尺度上量化不同林地类型的火灾发生和复发的潜力。该研究涵盖了意大利2007年至2014年间受野火影响的一系列地区。将燃烧区地理数据集时间序列与Corine Land Cover进行几何相交的GIS操作。地中海松林、高马丘林、过渡林地-灌丛和高山麓-地中海松林是火灾发生和复发的首选林地类型。大火和特大火灾占总燃烧面积的很大一部分。一个意想不到的发现是火灾对荒地和城市交界地区的巨大影响。提出的分析提供了空间信息,这是任何大规模火灾管理方法的核心。研究结果为研究进展、防火优先级、灭火措施、经济激励分配以及城市和城郊规划等方面提供支持。
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来源期刊
Annals of Silvicultural Research
Annals of Silvicultural Research Agricultural and Biological Sciences-Forestry
CiteScore
2.70
自引率
0.00%
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