A parametric model of the fire-size distribution
By S. Cumming. 2001
153 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/bedadea5c2c9e16672ab94ff231fb06dc27cca13
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- S. Boutin
- M. C. Arienti
- Kevin S. McKelvey
- W. Reed
- Steve Taylor
- Douglas G. Woolford
- Charmaine B. Dean
- David L. Martell
In Global and Planetary Change
- Steve Taylor
- Douglas G. Woolford
- Charmaine B. Dean
- M. C. Arienti
- S. Boutin
- Kevin S. McKelvey
- W. Reed
- Thomas Opitz
In Nature and Landscape Conservation
Citations in the corpus
- Wildfire Prediction to Inform Fire Management: Statistical Science Challenges (2013, background): “…have suggested that fire size distributions follow an exponential (Baker, 1989), power law (Malamud, Morein and Turcotte, 1998; Jiang et al., 2009) or a truncated Pareto distribution (Cumming, 2001; Schoenberg, Peng and Woods, 2003; Cui and Perera, 2008; Holmes, Hugget and Westerling, 2008).”
- Empirical models of forest fire initial attack success probabilities : the effects of fuels, anthropogenic linear features, fire weather, and management (2006, background): “2001) and recently disturbed areas (Cumming 2001a) have been described as fire breaks, limiting potential fire size.”
- Power-law behaviour and parametric models for the size-distribution of forest fires (2002, background): “A number of recent papers have examined the size-distribution of wildfires (Malamud et al., 1998; Ricotta et al., 1999; Cumming, 2001 ).”
- Spatiotemporal wildfire modeling through point processes with moderate and extreme marks (2021, background): “Many univariate probability distributions have been explored for modeling fire sizes (e.g., Cumming 2001, Schoenberg et al. 2003, Cui & Perera 2008, Pereira & Turkman 2019).”