2017
DOI: 10.1007/s10980-017-0578-8
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Accounting for spatial autocorrelation improves the estimation of climate, physical environment and vegetation’s effects on boreal forest’s burn rates

Abstract: Context Wildfires play a crucial role in maintaining ecological and societal functions of North American boreal forests. Because of their contagious way of spreading, using statistical methods dealing with spatial autocorrelation has become a major challenge in fire studies analyzing how environmental factors affect their spatial variability.Objectives We aimed to demonstrate the performance of a spatially explicit method accounting for spatial autocorrelation in burn rates modelling, and to use this method to… Show more

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Cited by 22 publications
(18 citation statements)
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“…The mean annual burn rate between regions over this period has been found to accurately reflect the historical burn rates for the 1700–2000 period (Portier et al. ) determined in several dendroecological studies (Bergeron et al. , , ) for Québec.…”
Section: Methodssupporting
confidence: 59%
See 1 more Smart Citation
“…The mean annual burn rate between regions over this period has been found to accurately reflect the historical burn rates for the 1700–2000 period (Portier et al. ) determined in several dendroecological studies (Bergeron et al. , , ) for Québec.…”
Section: Methodssupporting
confidence: 59%
“…The mean annual burn rate between regions over this period has been found to accurately reflect the historical burn rates for the 1700-2000 period (Portier et al 2018) determined in several dendroecological studies (Bergeron et al 2001(Bergeron et al , 2004(Bergeron et al , 2006 for Qu ebec. Given that our data reflect at least 300 yr of regional fire activity and that caribou generation time is estimated at 6 yr (COSEWIC 2014), we estimate that around 50 generations of caribou have been exposed to the historical burn rates we reconstructed.…”
Section: Historical Fire Activitysupporting
confidence: 54%
“…As the spatial autoregressive structure effectively accounted for the spatial autocorrelation in our dataset [Moran's I tests: P = 1.000 (ΔAGB GI ), P = 0.998 (ΔAGB M ), P = 0.999 (ΔAGB)]; based on the distance at which 95% of the plots had at least one neighbour (Portier et al . ), that is 17 km, defined by dnearneigh function in the spdep package (Bivand et al . ), we relied on this approach for the subsequent analyses.…”
Section: Methodsmentioning
confidence: 99%
“…For these reasons, the superior wood volume observed in logged transects compared to the burned ones was expected, as harvesting less productive stands could be an unprofitable endeavor. In contrast, fire is a more stochastic disturbance, driven by a complex combination of climatic factors as well as biotic and abiotic landscape characteristics (Bélisle et al, 2016;Erni et al, 2018;Portier et al, 2018b). Some forest stands may thus be burned repeatedly in a relatively short time period while others may remain unburned for centuries, even millennia (Bergeron et al, 2002;Couillard et al, 2016;Kneeshaw et al, 2018).…”
Section: Differences In Logging and Fire Drivers Explain Their Divergmentioning
confidence: 99%