Literature DB >> 21639045

Scale-dependent controls on the area burned in the boreal forest of Canada, 1980-2005.

Marc-André Parisien1, Sean A Parks, Meg A Krawchuk, Mike D Flannigan, Lynn M Bowman, Max A Moritz.   

Abstract

In the boreal forest of North America, as in any fire-prone biome, three environmental factors must coincide for a wildfire to occur: an ignition source, flammable vegetation, and weather that is conducive to fire. Despite recent advances, the relative importance of these factors remains the subject of some debate. The aim of this study was to develop models that identify the environmental controls on spatial patterns in area burned for the period 1980-2005 at several spatial scales in the Canadian boreal forest. Boosted regression tree models were built to relate high-resolution data for area burned to an array of explanatory variables describing ignitions, vegetation, and long-term patterns in fire-conducive weather (i.e., fire climate) at four spatial scales (10(2) km2, 10(3) km2, 10(4) km2, and 10(5) km2). We evaluated the relative contributions of these controls on area burned, as well as their functional relationships, across spatial scales. We also assessed geographic patterns of the influence of wildfire controls. The results indicated that extreme temperature during the fire season was a top control at all spatial scales, followed closely by a wind-driven index of ease of fire spread. However, the contributions of some variables differed substantially among the spatial scales, as did their relationship to area burned. In fact, for some key variables the polarity of relationships was inverted from the finest to the broadest spatial scale. It was difficult to unequivocally attribute values of relative importance to the variables chosen to represent ignitions, vegetation, and climate, as the interdependence of these factors precluded clear partitioning. Furthermore, the influence of a variable on patterns of area burned often changed enormously across the biome, which supports the idea that fire-environment relationships in the boreal forest are complex and nonstationary.

Mesh:

Year:  2011        PMID: 21639045     DOI: 10.1890/10-0326.1

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  9 in total

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2.  Attribution of the Influence of Human-Induced Climate Change on an Extreme Fire Season.

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4.  Large-scale probabilistic identification of boreal peatlands using Google Earth Engine, open-access satellite data, and machine learning.

Authors:  Evan Ross DeLancey; Jahan Kariyeva; Jason T Bried; Jennifer N Hird
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5.  Attributing extreme fire risk in Western Canada to human emissions.

Authors:  Megan C Kirchmeier-Young; Francis W Zwiers; Nathan P Gillett; Alex J Cannon
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6.  Machine learning to predict final fire size at the time of ignition.

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7.  Identifying the threshold of dominant controls on fire spread in a boreal forest landscape of Northeast China.

Authors:  Zhihua Liu; Jian Yang; Hong S He
Journal:  PLoS One       Date:  2013-01-31       Impact factor: 3.240

8.  Fire activity and severity in the western US vary along proxy gradients representing fuel amount and fuel moisture.

Authors:  Sean A Parks; Marc-André Parisien; Carol Miller; Solomon Z Dobrowski
Journal:  PLoS One       Date:  2014-06-18       Impact factor: 3.752

9.  Direct and indirect climate controls predict heterogeneous early-mid 21st century wildfire burned area across western and boreal North America.

Authors:  Thomas Kitzberger; Donald A Falk; Anthony L Westerling; Thomas W Swetnam
Journal:  PLoS One       Date:  2017-12-15       Impact factor: 3.752

  9 in total

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