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Incorporating anthropogenic influences into fire probability models : effects of human activity and climate change on fire activity in California

机译:将人为影响纳入火灾概率模型:人类活动和气候变化对加利福尼亚火灾活动的影响

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摘要

The costly interactions between humans and wildfires throughout California demonstrate the need to understand the relationships between them, especially in the face of a changing climate and expanding human communities. Although a number of statistical and process-based wildfire models exist for California, there is enormous uncertainty about the location and number of future fires, with previously published estimates of increases ranging from nine to fifty-three percent by the end of the century. Our goal is to assess the role of climate and anthropogenic influences on the state’s fire regimes from 1975 to 2050. We develop an empirical model that integrates estimates of biophysical indicators relevant to plant communities and anthropogenic influences at each forecast time step. Historically, we find that anthropogenic influences account for up to fifty percent of explanatory power in the model. We also find that the total area burned is likely to increase, with burned area expected to increase by 2.2 and 5.0 percent by 2050 under climatic bookends (PCM and GFDL climate models, respectively). Our two climate models show considerable agreement, but due to potential shifts in rainfall patterns, substantial uncertainty remains for the semiarid inland deserts and coastal areas of the south. Given the strength of human-related variables in some regions, however, it is clear that comprehensive projections of future fire activity should include both anthropogenic and biophysical influences. Previous findings of substantially increased numbers of fires and burned area for California may be tied to omitted variable bias from the exclusion of human influences. The omission of anthropogenic variables in our model would overstate the importance of climatic ones by at least 24%. As such, the failure to include anthropogenic effects in many models likely overstates the response of wildfire to climatic change.
机译:在整个加利福尼亚,人类与野火之间昂贵的互动表明需要了解它们之间的关系,尤其是在气候变化和人类社区扩大的情况下。尽管加利福尼亚存在许多基于统计和基于过程的野火模型,但对于未来大火的位置和数量仍存在巨大的不确定性,根据先前发布的估计,到本世纪末,这种情况的增加幅度为9%至53%。我们的目标是评估1975年至2050年气候和人为因素对该州火灾状况的作用。我们建立了一个经验模型,该模型整合了与植物群落和人为因素相关的生物物理指标的估计值,每个预测时间步长均如此。从历史上看,我们发现人为影响占模型解释力的百分之五十。我们还发现,总燃烧面积可能会增加,到2050年,根据气候书挡(分别为PCM和GFDL气候模式),燃烧面积预计将增加2.2%和5.0%。我们的两种气候模式显示出相当大的一致性,但是由于降雨模式的潜在变化,半干旱内陆沙漠和南部沿海地区仍然存在很大的不确定性。但是,鉴于某些地区与人有关的变量的强度,很明显,对未来火灾活动的综合预测应该包括人为和生物物理影响。先前有关加州大火和烧伤面积大量增加的发现可能与排除人类影响而忽略的可变偏见有关。在我们的模型中忽略人为变量会使气候变量的重要性高估至少24%。因此,在许多模型中未能包括人为影响可能会夸大野火对气候变化的响应。

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  • 作者

    Mann Michael L.;

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  • 年度 2016
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  • 原文格式 PDF
  • 正文语种 eng
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