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Investigating Correlations between Snowmelt and Forest Fires in a ...

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Figure 7. Time series color maps of end high DAV or melt-refreeze period for 2004-2007 (left column) <strong>and</strong><br />

difference maps of melt onset (right column) for the Porcup<strong>in</strong>e River bas<strong>in</strong>. Units are Julian date. Yellow/light<br />

green corresponds to earlier end of melt-refreeze; blue is a later end date. For difference maps, red<br />

<strong>in</strong>dicates the next year’s end of melt-refreeze was earlier; blue was later. Burned areas are outl<strong>in</strong>ed black.<br />

While the results suggest correlations <strong>between</strong> melt tim<strong>in</strong>g <strong>and</strong> wildfire occurrence spatially <strong>and</strong><br />

temporally, there are many other factors that affect both phenomena, thus the analyses should not<br />

be viewed as an attempt to determ<strong>in</strong>e cause <strong>and</strong> effect. In essence, both variables are respond<strong>in</strong>g to<br />

similar climatic forc<strong>in</strong>g depend<strong>in</strong>g upon the magnitude of the effects seasonally. Snow cover heterogeneity<br />

is governed by climate, l<strong>and</strong> cover, <strong>and</strong> topography with temperature, precipitation,<br />

radiation, elevation, slope, <strong>and</strong> aspect serv<strong>in</strong>g as key controls on its distribution <strong>and</strong> persistence<br />

(Tong et al., 2009). Fire occurrence <strong>and</strong> spread <strong>in</strong> the boreal forest is largely controlled by climate<br />

(air temperature, ra<strong>in</strong>fall, humidity, <strong>and</strong> w<strong>in</strong>d speed), circulation patterns (Sk<strong>in</strong>ner et al., 2006),<br />

fuel abundance, <strong>and</strong> moisture of the organic soil layer (a result of precipitation <strong>and</strong> thaw<strong>in</strong>g permafrost)<br />

(Kasischke et al., 2002).<br />

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