## 1 Introduction  
Forest fires could be considered as natural processes that play a crucial role in sustaining various life cycles and maintaining the biodiversity of numerous ecosystems [1]; however, they are undoubtedly perceived as destructive natural phenomena [2] causing land degradation [3], facilitating alien plant invasion and patch homogenization, and creating positive feedback mechanisms favoring fuel loading, and fire spreading and intensity [3, 4]. Although fires have long been utilized as a manner of fertilizing soil and controlling plant growth, they can change vegetation, increase soil erosion, and are one of the factors causing desertification of previously fertile areas [5]. Investigating the time dynamics of fire sequences in a specific region is of great importance, since it could reveal features of fire dynamics linked with the meteo-climatic variability of that region or with the identification of the anthropogenic mechanisms of fire ignition. Thus, the application of robust methodologies allowing to extract features hidden in the complex time fluctuations of fire sequences is crucial. [PERSON] et al. [6] analyzed the fire sequence that occurred in Ticino (Switzerland) by using the Allan Factor method [7] revealing several features of fire dynamics like (1) the Poissonian behavior of the time distribution of the sequence at small timescales and the non-Poissonian character at larger timescales (or time clustering), suggesting the existence of \"memory phenomena\" in the time distribution of the fires; (2) the presence at low altitudes of two different fire regimes that tend to merge into one single fire regime at higher altitudes, suggesting the mixing of natural and anthropogenic mechanisms, with the predominance of natural-caused (lightning) fires at higher altitudes; (3) the existence of daily periodicities that respond to the diurnal weather changes, like the increase and decrease in temperature and solar radiation, influencing the daily fluctuation of the dead fuel moisture content of open woodland fuel [8; 9]; and (4) the presence of the yearly cycle, which is the typical seasonal variability, as a result of the cumulative impact of weather and climate as well as vegetation, specifically, the litter and herb layer in the forest stand understory, which follows a seasonal growth cycle. Similar temporal patterns were found in other regions of southern Europe, such as Tuscany [10] and Portugal [11]. The temporal clustering of fires suggests a correlation among them: a fire in a previously unburned area creates a mosaic of burned and unburned vegetation patches, leading to feedback behavior that influences the likelihood of the occurrence of subsequent fires [12; 13]. Although human-induced fires are dominant in most Mediterranean regions [14], the fuel amount and moisture that depend on climate variability govern the conditions of fire ignition and its characteristics [15], like its intensity, spread, and propagation that are also influenced by wind [16; 17]. In the future, fires in Europe are expected to increase in number of events and intensity, and the climate has been recognized as one of the main drivers for future fire regimes [18; 19]. In fact, projected climate scenarios indicate an increase in the duration and the severity of fire seasons due to the strengthening of warming and the increase in drought events for most southern European countries [20]. The fuel amount and moisture can be considered as the manifestation of the link between climate and fire [21; 22; 23]; in fact, fire spread is limited by fuel amount during high-drought periods, and by fuel moisture during low-drought periods, and both conditions play an important role in shaping fire regimes, especially in Mediterranean-type ecosystems [24]. The close link between climate and fires was analyzed in several works; in particular, it was suggested that drought conditions concomitantly with high temperatures could provoke the occurrence of larger fires [25; 26; 27; 28; 29; 30].