Wildfire seasonality and land use: when do wildfires prefer to burn?
Autor: | Stefano Mazzoleni, Sofia Bajocco, Carlo Ricotta, Gianni Boris Pezzatti |
---|---|
Přispěvatelé: | S., Bajocco, G. B., Pezzatti, Mazzoleni, Stefano, C., Ricotta |
Jazyk: | angličtina |
Rok vydání: | 2010 |
Předmět: |
Conservation of Natural Resources
Population climate fire seasonality human impact landscape analysis randomization tests Poison control Management Monitoring Policy and Law Fires medicine Forensic engineering education General Environmental Science education.field_of_study Land use Fire regime business.industry Null model Environmental resource management General Medicine Seasonality medicine.disease Pollution Italy Close relationship Environmental science Human pressure Seasons business |
Popis: | Because of the increasing anthropogenic fire activity, understanding the role of land-use in shaping wildfire regimes has become a major concern. In the last decade, an increasing number of studies have been carried out on the relationship between land-use and wildfire patterns, in order to identify land-use types where fire behaves selectively, showing a marked preference (or avoidance) in terms of fire incidence. By contrast, the temporal aspects of the relationship between landuse types and wildfire occurrence have received far less attention. The aim of this paper is, thus, to analyze the temporal patterns of fire occurrence in Sardinia (Italy) during the period 2000-2006 to identify land-use types where wildfires occur earlier or later than expected from a random null model. The study highlighted a close relationship between the timing of fire occurrence and land-cover that is primarily governed by two complementary processes: climatic factors that act indirectly on the timing of wildfires determining the spatial distribution of land-use types, and human population and human pressure that directly influence fire ignition. From a practical viewpoint, understanding the temporal trends of wildfires within the different land-use classes can be an effective decision-support tool for fire agencies in managing fire risk and for producing provisional models of fire behavior under changing climatic scenarios and evolving landscapes. |
Databáze: | OpenAIRE |
Externí odkaz: |