<p>Relative variable importance of explanatory variables for statistical models of a) all fires and b) large fires in the Butte Plumas study area for the three baseline scenarios (1980–2010), including Baseline (no vegetation), MapStat (LANDFIRE existing vegetation type) and ModStat (vegetation type output from dynamic model).</p
Plots represent predicted relationship between the probability of fire occurrence and univariate pre...
The costly interactions between humans and wildfires throughout California demonstrate the need to u...
A long history of fire suppression by federal land management agencies has interrupted fire regimes ...
<div><p>Understanding where and how fire patterns may change is critical for management and policy d...
<p>Baseline and projected future vegetation type from MC2 runs for selected scenarios with a) Baseli...
<p>Distribution of large fire probability differences between NoVeg and three scenarios with vegetat...
<p>a) Butte and Plumas Counties study area in the Sierra Nevada, California, USA, and b) elevation (...
<p>Spatial distribution of large fire probability changes by time period, and scenario for a) CNRM a...
<p>Maximum annual carbon in standing dead grass from MC2 runs for selected scenarios with a) Baselin...
<p>Mean annual carbon in aboveground dead wood from MC2 runs for selected scenarios with the a) CNRM...
<p>All eight scenarios were also modeled under two climate change scenarios (MIROC and CNRM) and for...
International audienceRecent climate changes have increased fire-prone weather conditions in many re...
<p>Scenario abbreviations are provided in <a href="http://www.plosone.org/article/info:doi/10.1371/j...
<div><p>The costly interactions between humans and wildfires throughout California demonstrate the n...
The costly interactions between humans and wildfires throughout California demonstrate the need to u...
Plots represent predicted relationship between the probability of fire occurrence and univariate pre...
The costly interactions between humans and wildfires throughout California demonstrate the need to u...
A long history of fire suppression by federal land management agencies has interrupted fire regimes ...
<div><p>Understanding where and how fire patterns may change is critical for management and policy d...
<p>Baseline and projected future vegetation type from MC2 runs for selected scenarios with a) Baseli...
<p>Distribution of large fire probability differences between NoVeg and three scenarios with vegetat...
<p>a) Butte and Plumas Counties study area in the Sierra Nevada, California, USA, and b) elevation (...
<p>Spatial distribution of large fire probability changes by time period, and scenario for a) CNRM a...
<p>Maximum annual carbon in standing dead grass from MC2 runs for selected scenarios with a) Baselin...
<p>Mean annual carbon in aboveground dead wood from MC2 runs for selected scenarios with the a) CNRM...
<p>All eight scenarios were also modeled under two climate change scenarios (MIROC and CNRM) and for...
International audienceRecent climate changes have increased fire-prone weather conditions in many re...
<p>Scenario abbreviations are provided in <a href="http://www.plosone.org/article/info:doi/10.1371/j...
<div><p>The costly interactions between humans and wildfires throughout California demonstrate the n...
The costly interactions between humans and wildfires throughout California demonstrate the need to u...
Plots represent predicted relationship between the probability of fire occurrence and univariate pre...
The costly interactions between humans and wildfires throughout California demonstrate the need to u...
A long history of fire suppression by federal land management agencies has interrupted fire regimes ...