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Scenarios for future wildfire risk in California: links between changing demography, land use, climate, and wildfire

机译:加州未来野火风险的场景:人口变化,土地利用,气候和野火之间的联系

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Over 21,000 future California residential wildfire risk scenarios were developed on a monthly 1/8 degrees grid, using statistical wildfire models. We explore interactions between two global emissions scenarios, three climate models, six spatially explicit population growth scenarios derived from two growth models, and a range of parameters defining properties' vulnerability to loss. Scenarios are evaluated over two future time periods relative to historic baselines. We also explore effects of spatial resolutions for calculating household exposure to wildfire on changes in estimated future property losses. Our goal was not to produce one authoritative set of future risk scenarios but rather to understand what parameters are important for robustly characterizing effects of climate and growth on future residential property risks. By end of century, variation across development scenarios accounts for far more variability in statewide residential wildfire risks than does variation across climate scenarios. However, the most extreme increases in residential fire risks result from combining high-growth/high-sprawl scenarios with the most extreme climates considered here. Case studies for the Bay Area and the Sierra foothills demonstrate that, while land use decisions profoundly influence future residential wildfire risks, effects of diverse growth and land use strategies vary greatly around the state. Copyright (c) 2014 John Wiley & Sons, Ltd.
机译:使用统计野火模型,在每月1/8度网格上开发了超过21,000种未来的加利福尼亚居民野火风险情景。我们探索了两种全球排放情景,三种气候模式,从两种增长模式中衍生出来的六个在空间上明确的人口增长情景之间的相互作用,以及定义财产易损性的一系列参数。在相对于历史基准的两个未来时间段内评估方案。我们还探讨了空间分辨率对计算家庭遭受野火的影响对估计的未来财产损失变化的影响。我们的目标不是制定一套权威的未来风险情景,而是了解哪些参数对于稳健地表征气候和增长对未来住宅物业风险的影响至关重要。到本世纪末,与整个气候情景的变化相比,跨发展情景的变化所导致的州范围内住宅野火风险的变化要大得多。但是,住宅火灾风险的最极端增加是由于将高增长/高蔓延场景与此处考虑的最极端气候相结合。湾区和塞拉利昂山麓地区的案例研究表明,尽管土地使用决策会深刻影响未来的居民野火风险,但州内多样化增长和土地使用策略的影响差异很大。版权所有(c)2014 John Wiley&Sons,Ltd.

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