南美保护区季节性火灾概率预报预警系统

Liana O. Anderson, Chantelle Burton, João B. C. dos Reis, Ana Carolina M. Pessôa, Philip Bett, Nathália S. Carvalho, Celso H. L. Silva Junior, Karina Williams, Galia Selaya, Dolors Armenteras, Bibiana A. Bilbao, Haron A. M. Xaud, Roberto Rivera-Lombardi, Joice Ferreira, Luiz E. O. C. Aragão, Chris D. Jones, Andrew J. Wiltshire
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引用次数: 8

摘要

对火灾高发地区进行及时、明确的空间预警是南美自然保护区火灾预防和监测战略规划的重要组成部分。在这项研究中,我们提出了一个五级警报系统,该系统结合了气候和人为因素,这是澳大利亚火灾的两个主要驱动因素。警报级别为:高度警报、警报、注意、观察和低概率。过去三年活火次数的趋势和同期活火累计次数被用作该区域人类对火的利用加剧的指标,这可能与持续的土地利用/土地覆盖变化有关。使用GloSea5季节预报系统的温度和降水网格输出集合来表明炎热和干燥天气条件的可能性增加,加上LULCC有利于火灾发生。该系统的警报于2020年8月首次发布,期间为2020年8月至10月(ASO)。总体而言,在ASO 2017-2019年期间观察到的所有火灾中有50%和ASO 2020年期间发生的火灾中有40%发生在29个pa中,这些火灾都被归类为前两个警报级别。在映射为高警戒级别的类别中,与2017-2019参考期相比,34%的pa经历了火灾增加,81%的高警戒假警报记录的火灾发生率高于中位数。来自涉众的初始反馈表明,这些警报用于通知某些pa中的资源管理。我们期望这些预报能够提供持续的信息,旨在改变社会对火灾使用的看法,从而资助战略规划和缓解行动,重点是及时响应灾害风险管理战略。进一步的研究必须集中在模型的改进和对利益相关者的知识转化上。
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An alert system for Seasonal Fire probability forecast for South American Protected Areas

Timely spatially explicit warning of areas with high fire occurrence probability is an important component of strategic plans to prevent and monitor fires within South American (SA) Protected Areas (PAs). In this study, we present a five-level alert system, which combines both climatological and anthropogenic factors, the two main drivers of fires in SA. The alert levels are: High Alert, Alert, Attention, Observation and Low Probability. The trend in the number of active fires over the past three years and the accumulated number of active fires over the same period were used as indicators of intensification of human use of fire in that region, possibly associated with ongoing land use/land cover change (LULCC). An ensemble of temperature and precipitation gridded output from the GloSea5 Seasonal Forecast System was used to indicate an enhanced probability of hot and dry weather conditions that combined with LULCC favour fire occurrences. Alerts from this system were first issued in August 2020, for the period ranging from August to October (ASO) 2020. Overall, 50% of all fires observed during the ASO 2017–2019 period and 40% of the ASO 2020 fires occurred in only 29 PAs were all categorized in the top two alert levels. In categories mapped as High Alert level, 34% of the PAs experienced an increase in fires compared with the 2017–2019 reference period, and 81% of the High Alert false alarm registered fire occurrence above the median. Initial feedback from stakeholders indicates that these alerts were used to inform resource management in some PAs. We expect that these forecasts can provide continuous information aiming at changing societal perceptions of fire use and consequently subsidize strategic planning and mitigatory actions, focusing on timely responses to a disaster risk management strategy. Further research must focus on the model improvement and knowledge translation to stakeholders.

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