Logan’s research while affiliated with University of Aveiro and other places

The relationships among the weather, the Canadian Fire Weather Index (FWI) System components, the monthly area burned, and the number of fire occurrences from 1980 to 2004 were investigated in 11 Portuguese districts that represent respectively 66% and 61% of the total area burned,and number,of fires in Portugal. A statistical approach was used to estimate the monthly area burned and the monthly number of fires per district, using meteorological variables and FWI System components,as predictors. The approach,succeeded,in explaining from 60.9 to 80.4% of the variance for area burned,and between,47.9 and 77.0% of the variance for the number,of fires; all regressions were highly significant (P < 0.0001). The monthly,mean,and the monthly,maximum,of daily maximum,temperatures,and the monthly,mean,and extremes (maximum and 90th percentile) of the daily FWI were selected for all districts, except for Bragança and Porto, in the forward stepwise regression for area burned. For all districts combined, the variance explained was 80.9 and 63.0% for area burned and number of fires, respectively. Our results point to highly significant relationships among forest fires in Portugal and the weather and the Canadian FWI System. The present analysis provides baseline information,for predicting the area burned,and number,of fires under future climate scenarios and the subsequent,impacts on air quality. Additional keywords: area burned, fire occurrence, forest fires, FWI System.

Canadian Fire Weather Index (FWI) System components,and head fire intensities were calculated for fires greater than 2 km,1. Most FWI System parameters did not show trends over the 41-year period because of large inter-annual variability. A changing climate is expected to create future weather conditions more conducive to fire throughout much of Canada but clear changes have not yet occurred. Additional keywords: drought; duff moisture; fire intensity; forest fire; seasonality; taiga; trends.