2007
DOI: 10.1007/s10980-007-9109-3
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Scale-dependent determinants of heterogeneity in fire frequency in a coniferous boreal forest of eastern Canada

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Cited by 97 publications
(77 citation statements)
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References 54 publications
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“…Simulation modeling provided the means, through input manipulation, to isolate the effect of bottom-up environmental factors on spatial fire likelihood in four fire-prone landscapes of North America. Because fireÀenvironment relationships can be idiosyncratic to a particular landscape and are known to vary at different spatial and temporal frames of study (Cyr et al 2007), we provided a standard baseline for comparison among these study areas. The standard baseline using simulated burn probabilities allowed us to quantify the influence of ignitions, fuel configuration, and topography.…”
Section: Resultsmentioning
confidence: 99%
“…Simulation modeling provided the means, through input manipulation, to isolate the effect of bottom-up environmental factors on spatial fire likelihood in four fire-prone landscapes of North America. Because fireÀenvironment relationships can be idiosyncratic to a particular landscape and are known to vary at different spatial and temporal frames of study (Cyr et al 2007), we provided a standard baseline for comparison among these study areas. The standard baseline using simulated burn probabilities allowed us to quantify the influence of ignitions, fuel configuration, and topography.…”
Section: Resultsmentioning
confidence: 99%
“…Strahler order [58] is used to classify rivers and their catchment areas according to their importance (see Appendix A Figure A1). Moreover, contrary to administrative borders or the circular buffers generally used (e.g., [30,40]), they rely on real physiographic features [59].…”
Section: Environment Delineation and Scalingmentioning
confidence: 99%
“…TSF is censored when the year of the last fire is unknown so the only information we have is a minimum time elapsed without fire. We used the Cox proportional hazard model (Equation (1)), a semi-parametric survival analysis, to model the influence of physical environment on fire frequency [30,31,64]. Statistical analyses were computed in the software R (version 2.15.1, The R Foundation for Statistical Computing, Vienna, Austria), package survival [65].…”
Section: Survival Analysismentioning
confidence: 99%
“…300-350 yr (Sirén 1955, Wallenius et al 2005). The fire cycles in the North Shore region, as well as in the Picea abies-dominated sites in Northern Europe can be several centuries long (Wallenius et al 2005, Cyr et al 2007). …”
Section: Main Tree Species and Disturbance Regimesmentioning
confidence: 99%
“…For instance, in continental areas, such as in the central parts of North America, stand-replacing fires occur frequently (Payette 1992). In contrast, in more humid maritime climates such as those found in Northern Europe and eastern Canada, large areas of the boreal forest experience mixed-severity fires with cycles that can be several centuries long (Syrjänen et al 1994, Gromtsev 2002, Wallenius et al 2005, Cyr et al 2007). …”
Section: Introduction Disturbance Dynamics In Boreal Forestsmentioning
confidence: 99%