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Journal of Environmental Informatics

Online ISSN 1684-8799 / Print ISSN 1726-2135

 

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   Volume 15   Number 1   March  2010 = non-subscribed

doi:10.3808/jei.201000161 About DOIs

JEI 15(1) 2010, Pages 1-13  

© 2010 ISEIS. All rights reserved.

A Provincial and Regional Assessment of the Mountain Pine Beetle Epidemic in British Columbia: 1999-2008

M. A. Wulder1*, S. M. Ortlepp1, J. C. White1, T. Nelson2 and N. C. Coops3

  1. Canadian Forest Service (Pacific Forestry Center), Natural Resources Canada, Victoria, BC V8Z 1M5, Canada
  2. Spatial Pattern Analysis & Research (SPAR) Laboratory, Dept of Geography, University of Victoria, Victoria, BC V8W 3R4, Canada
  3. Department of Forest Resource Management, University of British Columbia, Vancouver, BC V6T 1Z4, Canada

*Corresponding author. Tel: +1 250 3636090 Fax: +1 250 3630775 Email: mike.wulder@nrcan.gc.ca

 

Abstract

Western Canada is currently experiencing an epidemic infestation of mountain pine beetle (Dendroctonus ponderosae Hopkins). In British Columbia, the infestation extends over more than 13 million ha and has resulted in a wide-range of social, economic, and ecological impacts. In this study, we compile the known environmental drivers of the infestation and assess these drivers against the actual outcomes of the infestation to date. To support our investigation, we defined the population at risk to mountain pine beetle attack as the spatial extent of pine in British Columbia (approximately 525,329 km2) and used a range of driver variables known to influence the location and success of beetle infestations (i.e., proportion of pine, climatic factors, and latitude adjusted elevation) as inputs to a two-step clustering algorithm. We generated 15 clusters representing unique combinations of these driver variables. Variables that represent resulting conditions or infestation outcomes (i.e., cumulative amount of pine killed, proportion of pine remaining, distance to nearest infestation, or stand susceptibility) were then used to characterize these clusters and to identify areas of the province with similar drivers, but with different infestation conditions and outcomes. When the entire study area is considered, our findings indicate that the most susceptible areas of pine in British Columbia were attacked by the beetle first and that heretofore uninfested areas with similar conditions were likely spared from infestations initially due to their abundance of immature pine. However, infestations in less optimal areas increased markedly in 2007 and 2008, as the competition for hosts increased. A regional assessment of the clusters (for areas in the north, central, and southern regions of British Columbia) further indicated that the beetles may have opportunities to expand in northern and central areas-depending on short-term climatic conditions. By relating our current understanding of infestation drivers to the 2008 infestation, we were able to identify those areas of the province that are most vulnerable to continued infestation. Our results confirm that mountain pine beetle will likely continue to be the dominant forest health concern in British Columbia for many years to come.


Keywords: mountain pine beetle, infestation, spread, susceptibility, 2-step clustering

 

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Cite this paper as: M. A. Wulder, S. M. Ortlepp, J. C. White, T. Nelson and N. C. Coops, 2010. A Provincial and Regional Assessment of the Mountain Pine Beetle Epidemic in British Columbia: 1999-2008. Journal of Environmental Informatics, 15(1), 1-13. http://dx.doi.org/10.3808/jei.201000161


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