Modelling the meteorological forest fire niche in heterogeneous pyrologic conditions.
Ontology highlight
ABSTRACT: Fire regimes are strongly related to weather conditions that directly and indirectly influence fire ignition and propagation. Identifying the most important meteorological fire drivers is thus fundamental for daily fire risk forecasting. In this context, several fire weather indices have been developed focussing mainly on fire-related local weather conditions and fuel characteristics. The specificity of the conditions for which fire danger indices are developed makes its direct transfer and applicability problematic in different areas or with other fuel types. In this paper we used the low-to-intermediate fire-prone region of Canton Ticino as a case study to develop a new daily fire danger index by implementing a niche modelling approach (Maxent). In order to identify the most suitable wea
SUBMITTER: De Angelis A
PROVIDER: S-EPMC4332634 | biostudies-literature | 2015
REPOSITORIES: biostudies-literature
ACCESS DATA