Juang, C. S. et al. Rapid growth of large forest fires drives the exponential response of annual forestfire area to aridity in the western United States.Geophys. Res. Lett.49, e2021GL097131 (2022). Fire Statistics(Canadian Interagency Forest Fire Centre, accessed 3 November 2023);https:/...
Forest fires in Canada are directly influenced by the state of the climate system. The strong connection between climate and fire, along with the dynamic nature of the climate system, causes the extent, severity and frequency of fires to change over time. For instance, many reconstructions of ...
Canadian Forest Service, forest Fire research Institute, Information Report FF-X-20 Poulin-Costello M (1993) People-caused forest fire prediction using Poisson and logistic regression. Masters of Science thesis. Department of Mathematics and Statistics, University of Victoria, Victoria, B.C., Canada...
Air Quality, Atmosphere & Health (2024) Spatio-Temporal Marked Point Process Model to Understand Forest Fires in the Mediterranean Basin Óscar Rodríguez de Rivera Juncal Espinosa Antonio López-Quílez Journal of Agricultural, Biological and Environmental Statistics (2024)Download...
3.1. Preliminary and descriptive statistics of extreme temperatures in the Canadian prairies Fig. 3 shows the mean maximum temperature plot for the Canadian Prairies between 1970 and 2020. The plot shows that the southern portion of this region has a temperature above 36 °C. The region close to...
This product was upscaled from 250 m to the modeling grid of 5 km, retaining both the mean and standard deviation statistics. 2.3 Modeling 2.3.1 Model Overview Gradient Boosted Decision Trees (GBDTs) were presented as a decision tree (DT) ensemble framework to improve learning (Friedman, 2001...
scar, and (3) proportional filtering. "Bracketing" fire regime statistics to account for purported uncertainty associated with targeted sampling was not useful. Quantifying differences in sampling approaches cannot resolve all the limitations of fire-scar methods, but does strengthen interpretation of thes...
2.6. Bioinformatics and statistics We worked primarily in Jupyter notebooks, with phyloseq (McMurdie and Holmes, 2013), ggplot (Wickham, 2016), and dplyr (Wickham et al., 2019) being instrumental in working with the data in R (R Core Team, 2017) (See Supplemental Note 1 for full bioinfor...
The hybrid techniqueproduced estimates of Canada-wide burned area that were within 5 percent of official statistics. A neural-network classifier was also developed that allows smoke plumes to be effectively separated from cloud cover at a regional scale.Z. Li...
It is found that (i) all three extreme statistical models perform well to characterize extreme fire events, but the GPD and PP models need extra care to fit the nonstationary fire data, (ii) anthropogenic and natural extreme fires have significantly different extreme statistics, and (iii) ...