<p>Results are presented for the whole study area (ALL: plots A and E) and for the three bioclimatic sub-regions: North-East (NE: plots B and F), North-West (NW: plots C and G) and South-Central (SC: plots D and H). Scenarios without suppression are represented in white box-plots, opportunistic suppression scenarios in light grey, active suppression scenarios in medium grey and combined suppression scenarios in dark grey. Black horizontal lines indicate the observed values of total area burnt (A to D) or the percentage of area burnt by large fires (E to H) as reported in official statistics. Lower and upper whiskers indicate the 5% and 95% quartiles, lower and upper hinges indicate the first and third quartile and the central black line ind...
International audienceFire is an important global ecological process that influences the distributio...
2013 Fall.Includes bibliographical references.I present a set of techniques for modeling burn probab...
Thesis (Master's)--University of Washington, 2017-01Understanding and quantifying wildfire behavior ...
<p>Results are presented for the whole study area (ALL) and for the three bioclimatic sub-regions: N...
<p>Scenarios were defined by combining climate treatments (C0, C1 and C2; defined in the main text) ...
<p>Area suppressed by active fire suppression strategies in mild years (A1) and opportunistic fire s...
<p>Area suppressed by firefighting opportunities derived from: (A) fires in adverse years, (B) fires...
<p>Potential annual area to burn follows a lognormal distribution (with mean 7.74 and standard devia...
Burned area by year across administrative regions based on CONAF dataset (gray bars) and MODIS Colle...
Abstract Techniques for modeling burn probability (BP) combine the stochastic components of fire reg...
<p>(A) Historical fires in a region, where black patches are recent fire scars with time since last ...
[1] In this study, we present simulations of a burned area at a European scale for the period 1990–2...
Spatial distribution of burned area by number of fire counts per raster cell (each raster cell = 21....
Abstract This simulation research was conducted in order to develop a large-fire risk assessment sys...
In this study, we present simulations of a burned area at a European scale for the period 1990-2009 ...
International audienceFire is an important global ecological process that influences the distributio...
2013 Fall.Includes bibliographical references.I present a set of techniques for modeling burn probab...
Thesis (Master's)--University of Washington, 2017-01Understanding and quantifying wildfire behavior ...
<p>Results are presented for the whole study area (ALL) and for the three bioclimatic sub-regions: N...
<p>Scenarios were defined by combining climate treatments (C0, C1 and C2; defined in the main text) ...
<p>Area suppressed by active fire suppression strategies in mild years (A1) and opportunistic fire s...
<p>Area suppressed by firefighting opportunities derived from: (A) fires in adverse years, (B) fires...
<p>Potential annual area to burn follows a lognormal distribution (with mean 7.74 and standard devia...
Burned area by year across administrative regions based on CONAF dataset (gray bars) and MODIS Colle...
Abstract Techniques for modeling burn probability (BP) combine the stochastic components of fire reg...
<p>(A) Historical fires in a region, where black patches are recent fire scars with time since last ...
[1] In this study, we present simulations of a burned area at a European scale for the period 1990–2...
Spatial distribution of burned area by number of fire counts per raster cell (each raster cell = 21....
Abstract This simulation research was conducted in order to develop a large-fire risk assessment sys...
In this study, we present simulations of a burned area at a European scale for the period 1990-2009 ...
International audienceFire is an important global ecological process that influences the distributio...
2013 Fall.Includes bibliographical references.I present a set of techniques for modeling burn probab...
Thesis (Master's)--University of Washington, 2017-01Understanding and quantifying wildfire behavior ...