K
K. A. Logan
Researcher at Canadian Forest Service
Publications - 17
Citations - 3409
K. A. Logan is an academic researcher from Canadian Forest Service. The author has contributed to research in topics: Climate change & Fire regime. The author has an hindex of 12, co-authored 17 publications receiving 3155 citations. Previous affiliations of K. A. Logan include Natural Resources Canada & Great Lakes Institute of Management.
Papers
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Journal ArticleDOI
Large forest fires in Canada, 1959–1997
Brian J. Stocks,J. A. Mason,J. B. Todd,E. M. Bosch,B. M. Wotton,Brian D. Amiro,Mike D. Flannigan,Kelvin G. Hirsch,K. A. Logan,David L. Martell,W. R. Skinner +10 more
TL;DR: The Large Fire Database (LFDB) as mentioned in this paper provides information on fire location, start date, final size, cause, and suppression action for all fires larger than 200 ha in area for Canada for the 1959-1997 period.
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Future Area Burned in Canada
TL;DR: In this article, historical relationship between weather, the Canadian fire weather index (FWI) system components and area burned in Canadian ecozones were analyzed on a monthly basis in tandem with output from the Canadian and the Hadley Centre GCMs to project future area burned.
Journal ArticleDOI
Direct carbon emissions from Canadian forest fires, 1959-1999
Brian D. Amiro,J. B. Todd,B. M. Wotton,K. A. Logan,Mike D. Flannigan,Brian J. Stocks,J. A. Mason,David L. Martell,Kelvin G. Hirsch +8 more
TL;DR: In this paper, direct emissions of carbon from Canadian forest fires were estimated for all Canada and for each ecozone for the period 19591999, based on a data base of large fires for the cou...
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Forest Fires and Climate Change in the 21ST Century
TL;DR: The authors discusses and synthesises the current state of fire and climate change research and the potential direction for future studies on fire, climate, vegetation and humans, and projections of fire activity for this century can be used to explore options for mitigation and adaptation.
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Climate change and people-caused forest fire occurrence in ontario
TL;DR: In this article, Poisson regression analysis methods are used to develop predictive models for the daily number of fires occurring in each of the ecoregions across the forest fire management region of Ontario.