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International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Spatial interpolation and mean fire interval analyses quantify historical mixed-severity fire regimes

Gregory A. Greene A B and Lori D. Daniels A
+ Author Affiliations
- Author Affiliations

A Forest and Conservation Sciences Department, University of British Columbia, 3041-2424 Main Mall, Vancouver, BC V6T 1Z4, Canada.

B Corresponding author. Email: gagreene@alumni.ubc.ca

International Journal of Wildland Fire 26(2) 136-147 https://doi.org/10.1071/WF16084
Submitted: 28 May 2015  Accepted: 23 December 2016   Published: 7 February 2017

Abstract

Tree-age data in combination with fire scars improved inverse-distance-weighted spatial modelling of historical fire boundaries and intervals for the Darkwoods, British Columbia, Canada. Fire-scarred trees provided direct evidence of fire. The presence of fire-sensitive trees at sites with no fire scars indicated fire-free periods over their lifespan. Sensitivity analyses showed: (1) tree ages used in combination with fire-scar dates refined fire boundaries without biasing mean fire return intervals; and (2) compared with derived conservative, moderate and liberal thresholds (i.e. minimum burn likelihood cut-off values), fixed thresholds generated area burned estimates that were most consistent with estimates based on the proportion of plots that recorded historical fires. Unweighted and weighted spatial mean fire intervals (50–56 and 58–68 years respectively) exceeded dendrochronological plot-level (38-year) estimates based on fire scars only. Including tree-age data from fire-sensitive trees to calculate landscape-level fire interval metrics lengthened the mean return intervals, better representing historical high-severity fires. Supplementing fire scars with tree ages better reflects the spatiotemporal diversity of fire frequencies and severities inherent to mixed-severity fire regimes.

Additional keywords: Darkwoods, fire scars, fire size, GIS, inverse distance weighting, montane forests, subalpine forests, tree ages.


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