IMT Institutional Repository: No conditions. Results ordered -Date Deposited. 2024-03-29T01:09:15ZEPrintshttp://eprints.imtlucca.it/images/logowhite.pnghttp://eprints.imtlucca.it/2012-02-21T13:36:05Z2013-11-20T14:23:53Zhttp://eprints.imtlucca.it/id/eprint/1143This item is in the repository with the URL: http://eprints.imtlucca.it/id/eprint/11432012-02-21T13:36:05ZPercolation in real wildfiresThis paper focuses on the statistical properties of wild-land fires and, in particular, investigates if spread dynamics relates to simple invasion model. The fractal dimension and lacunarity of three fire scars classified from satellite imagery are analysed. Results indicate that the burned clusters behave similarly to percolation clusters on boundaries and look denser in their core. We show that Dynamical Percolation reproduces this behaviour and can help to describe the fire evolution. By mapping fire dynamics onto the percolation models, the strategies for fire control might be improved.Guido Caldarelliguido.caldarelli@imtlucca.itRaffaella FrondoniAndrea GabrielliMarco MontuoriRebecca RetzlaffCarlo Ricotta2012-02-21T11:14:52Z2012-02-21T11:16:19Zhttp://eprints.imtlucca.it/id/eprint/1138This item is in the repository with the URL: http://eprints.imtlucca.it/id/eprint/11382012-02-21T11:14:52ZReply to the Comment by H. Tephany and J. Nahmias on “Percolation in real wildfires” by G. Caldarelli et al.Guido Caldarelliguido.caldarelli@imtlucca.itRaffaella FrondoniAndrea GabrielliMarco MontuoriRebecca RetzlaffCarlo Ricotta2012-02-01T11:39:20Z2018-03-08T17:06:00Zhttp://eprints.imtlucca.it/id/eprint/1095This item is in the repository with the URL: http://eprints.imtlucca.it/id/eprint/10952012-02-01T11:39:20ZQuantifying the taxonomic diversity in real species communitiesWe analyze several florae (collections of plant species populating specific areas) in different geographic and climatic regions. For every list of species we produce a taxonomic classification tree and we consider its statistical properties. We find that regardless of the geographical location, the climate and the environment all species collections have universal statistical properties that we show to be also robust in time. We then compare observed data sets with simulated communities obtained by randomly sampling a large pool of species from all over the world. We find differences in the behavior of the statistical properties of the corresponding taxonomic trees. Our results suggest that it is possible to distinguish quantitatively real species assemblages from random collections and thus demonstrate the existence of correlations between species.Cécile Caretta CartozoDiego Garlaschellidiego.garlaschelli@imtlucca.itCarlo RicottaMarc BarthélemyGuido Caldarelliguido.caldarelli@imtlucca.it