Forest fire occurrence and climate change in Canada
B. M. Wotton A D , C. A. Nock B and M. D. Flannigan CA Canadian Forest Service–Natural Resources Canada, Faculty of Forestry, University of Toronto, Toronto, ON, M5S 3B3, Canada.
B Institute of Botany, University of Natural Resources and Applied Life Sciences Vienna, 1180 Vienna, Austria.
C Canadian Forest Service–Natural Resources Canada, Sault Ste. Marie, ON, P6A 2E5, Canada.
D Corresponding author. Email: mwotton@nrcan.gc.ca
International Journal of Wildland Fire 19(3) 253-271 https://doi.org/10.1071/WF09002
Submitted: 8 January 2009 Accepted: 12 October 2009 Published: 13 May 2010
Abstract
The structure and function of the boreal forest are significantly influenced by forest fires. The ignition and growth of fires depend quite strongly on weather; thus, climate change can be expected to have a considerable impact on forest fire activity and hence the structure of the boreal forest. Forest fire occurrence is an extremely important element of fire activity as it defines the load on suppression resources a fire management agency will face. We used two general circulation models (GCMs) to develop projections of future fire occurrence across Canada. While fire numbers are projected to increase across all forested regions studied, the relative increase in number of fires varies regionally. Overall across Canada, our results from the Canadian Climate Centre GCM scenarios suggest an increase in fire occurrence of 25% by 2030 and 75% by the end of the 21st century. Results projected from fire climate scenarios derived from the Hadley Centre GCM suggest fire occurrence will increase by 140% by the end of this century. These general increases in fire occurrence across Canada agree with other regional and national studies of the impacts of climate change on fire activity. Thus, in the absence of large changes to current climatic trends, significant fire regime induced changes in the boreal forest ecosystem are likely.
Acknowledgements
Datasets used in this analysis have been obtained from various provincial forest fire management agencies throughout Canada over several years (for numerous projects). The authors thank each of these organizations for their contribution and collaboration. The late Bernie Todd (Canadian Forest Service) was instrumental in assembling large portions of these provincial forest fire datasets and creating a common set of attributes that could be comparable. It was Bernie Todd who originally held discussions when this national analysis began. Fire weather streams based on Environment Canada weather station data come from previous work and were assembled with the grateful assistance of Walter Skinner of the Meteorological Service of Canada (Environment Canada). We also acknowledge the Canadian government’s Program for Energy Research and Development for support of this research.
Anderson KR (2002) A model to predict lightning-caused fire occurrences. International Journal of Wildland Fire 11, 163–172.
| Crossref | GoogleScholarGoogle Scholar |
Balshi MS, McGuire AD, Duffy P, Flannigan M, Walsh J , Melillo J (2008) Assessing the response of area burned to changing climate in western boreal North America using a Multivariate Adaptive Regression Splines (MARS) approach. Global Change Biology 15, 578–600.
| Crossref | GoogleScholarGoogle Scholar |
Covey C, AchutaRao KM, Cubasch U, Jones P, Lambert SJ, Mann ME, Phillips TJ , Taylor KE (2003) An overview of results from the Coupled Model Intercomparison Project. Global and Planetary Change 37, 103–133.
| Crossref | GoogleScholarGoogle Scholar |
Flannigan MD , Van Wagner CE (1991) Climate change and wildfire in Canada. Canadian Journal of Forest Research 21, 66–72.
| Crossref | GoogleScholarGoogle Scholar |
Flannigan MD, Bergeron Y, Engelmark O , Wotton BM (1998) Future wildfire in circumboreal forests in relation to global warming. Journal of Vegetation Science 9, 469–476.
| Crossref | GoogleScholarGoogle Scholar |
Frandsen WH (1987) The influence of moisture and mineral soil on the combustion limits of smouldering duff. Canadian Journal of Forest Research 17, 1540–1544.
| Crossref | GoogleScholarGoogle Scholar |
Krawchuk MA, Cumming SG, Flannigan MD , Wein RW (2006) Biotic and abiotic regulation of lightning fire initiation in the mixedwood boreal forest. Ecology 87, 458–468.
| Crossref | GoogleScholarGoogle Scholar | CAS | PubMed |
Mandallaz D , Ye R (1997) Prediction of forest fires with a Poisson models. Canadian Journal of Forest Research 27(10), 1685–1694.
| Crossref | GoogleScholarGoogle Scholar |
Meehl GA, Covey C, Delworth T, Latif M, McAvaney B, Mitchell JFB, Stouffer RJ , Taylor KE (2007) The WCRP CMIP3 multimodel dataset: a new era in climate change research. Bulletin of the American Meteorological Society 88(9), 1383–1394.
| Crossref | GoogleScholarGoogle Scholar |
Price C , Rind D (1994) The impact of a 2×CO2 climate on lightning-caused fires. Journal of Climate 7, 1484–1494.
| Crossref | GoogleScholarGoogle Scholar |
Raupach MR, Marland G, Ciais P, Le Quéré C, Canadell JG, Klepper G , Field CB (2007) Global and regional drivers of accelerating CO2 emissions. Proceedings of the National Academy of Sciences of the United States of America 104, 10 288–10 293.
| Crossref | GoogleScholarGoogle Scholar | CAS |
Vega-Garcia C, Woodard PM, Titus SJ, Adamowicz WL , Lee BS (1995) A logit model for predicting the daily occurrence of human caused forest fires. International Journal of Wildland Fire 5(2), 101–112.
| Crossref | GoogleScholarGoogle Scholar |
Wotton BM (2009) Interpreting and using outputs from the Canadian forest fire danger rating system in research applications. Environmental and Ecological Statistics 16(2), 107–131.
| Crossref | GoogleScholarGoogle Scholar | CAS |
Wotton BM, Martell DM , Logan KA (2003) Climate change and people-caused forest fire occurrence in Ontario. Climatic Change 60, 275–295.
| Crossref | GoogleScholarGoogle Scholar | CAS |
A Temperature, relative humidity, 10 m open wind speed and 24-h accumulation of rainfall all recorded at 1200 hours Local Standard Time (LST).
B This classification of the current and previous day’s total rainfall (RT) into categories was based on a simple analysis of rainfall associated with lightning in an ecoregion in central Alberta and Saskatchewan (ecoregion 147, the Mid-Boreal Uplands) that we believed was representative of the boreal forest, using data from 1984-2004. The goal was to make a simpler classification system for rainfall because of the strongly skewed nature of the daily rainfall distribution. The rainfall levels simply corresponded to the 25th, 50th, 75th, 90th and 95th percentiles of daily rainfall that occurred on days with lightning in this region. This new variable, RCLASS, was thus classified as follows. RCLASS = 0, RT ≤ 0.3; 1, 0.3 < RT ≤ 0.9; 2, 0.9 < RT ≤ 2.3; 3, 2.3 < RT ≤ 4.8; 4, 4.8 < RT ≤ 7.3; 5, RT > 7.3. All values are in mm. Similar category breaks were found for neighbouring ecoregions.
C Model results from B. M. Wotton (unpubl. data) from the implementation of the Wotton and Martell (2005) model into operations in the province of Ontario. Similar results were also found for models developed for the province of Saskatchewan using the same model form.
D Historical DMC maximums were only exceeded in the Hadley 2090 general circulation model (GCM) scenario in the provinces of British Columbia, Ontario and Quebec and only on 0.08, 0.6 and 2.3% of ecoregion-days respectively and in the CCC 2090 GCM only in Ontario on 1.8% of ecoregion-days.