Modelling fire behaviour in the lodgepole pine forests of interior British Columbia: An evaluation of models against field evidence

Fire behaviour models are increasingly used to guide wildfire management decisions, yet few have been rigorously validated with field-based evidence. Following a 2017 wildfire, we evaluated four fire behaviour models in natural and irregular shelterwood–treated lodgepole pine stands in interior British Columbia by comparing modelled against field-reconstructed head fire intensity (HFI) under recorded fire-weather scenarios. The Canadian Conifer Pyrometrics (ConPyro) model, when ladder fuels were included, produced predictions that closely matched reconstructed head fire intensity at the 75th wind percentile, with a mean absolute quantile distance (MAQD) of 1407 kW m −1 across quantiles. Crown Fire Initiation and Spread (CFIS) predictions exhibited higher variance, with MAQD values ranging from 4545 to 7470 kW m −1 . The Canadian Forest Fire Behaviour Prediction (FBP) System (C2 and C3 fuel types) showed strong sensitivity to wind speed, resulting in large variability in predicted intensity. In contrast, BehavePlus consistently underestimated HFI (MAQD = 11,387 kW m −1 , p < 0.01). In treated stands, all models either over- or underestimated HFI relative to reconstructed values, reflecting limited applicability in forests with discontinuous canopy structure. Overall, ConPyro performed adequately in natural conifer stands when ladder fuels were included, whereas all current models inadequately represented the spatial discontinuity and structural complexity created by treatments. These findings highlight the need to explicitly incorporate canopy structure into future model development to improve fire behaviour predictions in both natural and managed forests. • ConPyro with ladder fuels provided reasonable fire intensity estimates in natural stands. • Wildfire models perform poorly in treated, discontinuous canopy stands. • Reliable treatment planning requires models that capture canopy discontinuity.

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Publication Details

Journal
Ecological Informatics
Published
2026-04-22
DOI
https://doi.org/10.1016/j.ecoinf.2026.103789
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
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article

Modelling fire behaviour in the lodgepole pine forests of interior British Columbia: An evaluation of models against field evidence

M. Liu, Dominik Röeser, Daniel D.B. Perrakis, Gregory Greene
Ecological Informatics
Fire effects on ecosystems
article

Modelling fire behaviour in the lodgepole pine forests of interior British Columbia: An evaluation of models against field evidence

M. Liu, Dominik Röeser, Daniel D.B. Perrakis, Gregory Greene
article en

Abstract

Fire behaviour models are increasingly used to guide wildfire management decisions, yet few have been rigorously validated with field-based evidence. Following a 2017 wildfire, we evaluated four fire behaviour models in natural and irregular shelterwood–treated lodgepole pine stands in interior British Columbia by comparing modelled against field-reconstructed head fire intensity (HFI) under recorded fire-weather scenarios. The Canadian Conifer Pyrometrics (ConPyro) model, when ladder fuels were included, produced predictions that closely matched reconstructed head fire intensity at the 75th wind percentile, with a mean absolute quantile distance (MAQD) of 1407 kW m −1 across quantiles. Crown Fire Initiation and Spread (CFIS) predictions exhibited higher variance, with MAQD values ranging from 4545 to 7470 kW m −1 . The Canadian Forest Fire Behaviour Prediction (FBP) System (C2 and C3 fuel types) showed strong sensitivity to wind speed, resulting in large variability in predicted intensity. In contrast, BehavePlus consistently underestimated HFI (MAQD = 11,387 kW m −1 , p < 0.01). In treated stands, all models either over- or underestimated HFI relative to reconstructed values, reflecting limited applicability in forests with discontinuous canopy structure. Overall, ConPyro performed adequately in natural conifer stands when ladder fuels were included, whereas all current models inadequately represented the spatial discontinuity and structural complexity created by treatments. These findings highlight the need to explicitly incorporate canopy structure into future model development to improve fire behaviour predictions in both natural and managed forests. • ConPyro with ladder fuels provided reasonable fire intensity estimates in natural stands. • Wildfire models perform poorly in treated, discontinuous canopy stands. • Reliable treatment planning requires models that capture canopy discontinuity.

Ecological InformaticsVol. 95
Canadian Forest Service (CA), Natural Resources Canada (CA), University of British Columbia (CA), Simon Fraser University (CA)
Life in Land
Openalex Percentile: Top 9%
Fire effects on ecosystems
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