GaudreauPerezDrapeau2016
Référence
Gaudreau, J., Perez, L., Drapeau, P. (2016) BorealFireSim: A GIS-based cellular automata model of wildfires for the boreal forest of Quebec in a climate change paradigm. Ecological Informatics, 32:12-27
Résumé
Wildfires are the main cause of forest disturbance in the boreal forest of Canada. Climate change studies forecast important changes in fire cycles, such as increases in fire intensity, severity, and occurrence. The geographical information system (GIS) based cellular automata model, BorealFireSim, serves as a tool to identify future fire patterns in the boreal forest of Quebec, Canada. The model was calibrated using 1950-2010 climate data for the present baseline and forecasts of burning probability up to 2100 were calculated using two RCP scenarios of climate change. Results show that, with every scenario, the mean area burned will likely increase on a provincial scale, while some areas might expect decreases with a low emission scenario. Comparison with other models shows that areas forecasted to have an increase in fire likelihood, overlap with predicted areas of higher vegetation productivity. The results presented in this research aid identifying key areas for fire-dependent species in the near future. © 2015 Elsevier B.V..
Liens
Format EndNote
Vous pouvez importer cette référence dans EndNote.
Format BibTeX-CSV
Vous pouvez importer cette référence en format BibTeX-CSV.
Format BibTeX
Vous pouvez copier l'entrée BibTeX de cette référence ci-bas, ou l' importer directement dans un logiciel tel que JabRef 
.
@ARTICLE { GaudreauPerezDrapeau2016,
AUTHOR = { Gaudreau, J. and Perez, L. and Drapeau, P. },
TITLE = { BorealFireSim: A GIS-based cellular automata model of wildfires for the boreal forest of Quebec in a climate change paradigm },
JOURNAL = { Ecological Informatics },
YEAR = { 2016 },
VOLUME = { 32 },
PAGES = { 12-27 },
NOTE = { cited By 0 },
ABSTRACT = { Wildfires are the main cause of forest disturbance in the boreal forest of Canada. Climate change studies forecast important changes in fire cycles, such as increases in fire intensity, severity, and occurrence. The geographical information system (GIS) based cellular automata model, BorealFireSim, serves as a tool to identify future fire patterns in the boreal forest of Quebec, Canada. The model was calibrated using 1950-2010 climate data for the present baseline and forecasts of burning probability up to 2100 were calculated using two RCP scenarios of climate change. Results show that, with every scenario, the mean area burned will likely increase on a provincial scale, while some areas might expect decreases with a low emission scenario. Comparison with other models shows that areas forecasted to have an increase in fire likelihood, overlap with predicted areas of higher vegetation productivity. The results presented in this research aid identifying key areas for fire-dependent species in the near future. © 2015 Elsevier B.V.. },
AUTHOR_KEYWORDS = { Cellular automata; Climate change; Complexity; GIS; Modeling; Wildfires },
DOCUMENT_TYPE = { Article },
DOI = { 10.1016/j.ecoinf.2015.12.006 },
SOURCE = { Scopus },
URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-84954234995&partnerID=40&md5=8befb230f19ada512768ac1fdcc4eb1e },
}
