Forest fires severity has increased in Portugal in the last decades. Climate change scenarios suggest the reinforcement of this severity. Forest ecosystem managers and policy-makers thus face the challenge of developing effective fire prevention policies. The characterization of forest fires is instrumental for meeting this challenge. An approach for characterizing fire occurrence in Portugal, combining the use of geographic information systems and statistical analysis techniques, is presented. Emphasis was on the relationships between ecological and socioeconomic features and fire occurrence. The number and sizes of wildfires in Portugal were assessed for three 5-year periods (1987-1991, 1990-1994, and 2000-2004). Features maps were overlaid with perimeters of forest fires, and the proportion of burned area for each period was modeled using weighted generalized linear models (WGLM). Descriptive statistics showed variations in the distribution of fire size over recent decades, with a significant increase in the number of very large fires. Modeling underlined the impact of the forest cover type on the proportion of area burned. The statistical analysis further showed that socioeconomic features such as the proximity to roads impact the probability of fires occurrence. Results suggest that this approach may provide insight needed to develop fire prevention policies.

Two different fractal regression methodologies were employed with the aim of understanding the relationship between prices of ethanol produced in the USA and Brazil, the most important producers of ethanol. These methodologies, which have the advantage of giving us information about the relationships between different timescales, could also provide interesting and important information about this particular market. Our results suggest, first, some differences in the basic price in these markets, and second, a positive relationship between prices (as expected) but not a one‐to‐one relationship. © 2021 Society of Chemical Industry and John Wiley & Sons, Ltd

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