Mapping the probability of wildland fire occurrence in Central America, and identifying the key factors

INTERNATIONAL JOURNAL OF WILDLAND FIRE(2023)

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摘要
BackgroundWildland fires are part of the ecology of forests in Central America. Nevertheless, limited understanding of fire probability and the factors that influence it hinder the planning of intervention strategies.AimsThis research combined climatic, anthropogenic and vegetation factors to identify wildland fire probability and determine the most relevant factors.MethodsWe performed an exploratory analysis to identify important factors and integrated them with fire observations using random forest. We then used the most relevant factors to predict wildland fire occurrence probability and validated our results using different measures. The results demonstrated satisfactory agreement with the independent data.Key resultsCentral regions of Honduras, northern Guatemala and Belize have a very high probability of wildland fire occurrence. Human imprint and extreme climatic conditions influence wildland fire probability in Central America.ConclusionsUsing random forest, we identified the major influencing factors and areas with a high probability of wildland fire occurence in Central America.ImplicationsResults from this research can support regional organisations in applying enhanced strategies to minimise wildland fires in high-probability areas. Additional efforts may also include using future climate change scenarios and increasing the time frame to evaluate the influence of teleconnection patterns. Wildland fires are natural events that are part of the ecology of forests in Central America. However, a lack of knowledge hinders the implementation of intervention strategies. Our results show that a combination of human-driven and physical variables relate to the probability of wildland fire occurrence.
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关键词
Central America,GIS,hotspots,MODIS,probability,random forest,remote sensing,wildland fires
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