A provincial and regional assessment of the mountain pine beetle epidemic in British Columbia

1999-2008

M. A. Wulder, S. M. Ortlepp, J. C. White, Trisalyn Nelson, N. C. Coops

Research output: Contribution to journalArticle

13 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)1-13
Number of pages13
JournalJournal of Environmental Informatics
Volume15
Issue number1
DOIs
StatePublished - Mar 2010
Externally publishedYes

Fingerprint

Clustering algorithms
beetle
Health
Economics
mountain
forest health
social impact
ecological impact
economic impact
British Columbia

Keywords

  • 2-step clustering
  • Infestation
  • Mountain pine beetle
  • Spread
  • Susceptibility

ASJC Scopus subject areas

  • Computer Science Applications
  • Decision Sciences(all)
  • Environmental Science(all)

Cite this

A provincial and regional assessment of the mountain pine beetle epidemic in British Columbia : 1999-2008. / Wulder, M. A.; Ortlepp, S. M.; White, J. C.; Nelson, Trisalyn; Coops, N. C.

In: Journal of Environmental Informatics, Vol. 15, No. 1, 03.2010, p. 1-13.

Research output: Contribution to journalArticle

@article{18d687ccee7c4e8bb1e00918b075049b,
title = "A provincial and regional assessment of the mountain pine beetle epidemic in British Columbia: 1999-2008",
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 = "2-step clustering, Infestation, Mountain pine beetle, Spread, Susceptibility",
author = "Wulder, {M. A.} and Ortlepp, {S. M.} and White, {J. C.} and Trisalyn Nelson and Coops, {N. C.}",
year = "2010",
month = "3",
doi = "10.3808/jei.201000161",
language = "English (US)",
volume = "15",
pages = "1--13",
journal = "Journal of Environmental Informatics",
issn = "1726-2135",
publisher = "International Society for Environmental Information Sciences",
number = "1",

}

TY - JOUR

T1 - A provincial and regional assessment of the mountain pine beetle epidemic in British Columbia

T2 - 1999-2008

AU - Wulder, M. A.

AU - Ortlepp, S. M.

AU - White, J. C.

AU - Nelson, Trisalyn

AU - Coops, N. C.

PY - 2010/3

Y1 - 2010/3

N2 - 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.

AB - 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.

KW - 2-step clustering

KW - Infestation

KW - Mountain pine beetle

KW - Spread

KW - Susceptibility

UR - http://www.scopus.com/inward/record.url?scp=77954368581&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77954368581&partnerID=8YFLogxK

U2 - 10.3808/jei.201000161

DO - 10.3808/jei.201000161

M3 - Article

VL - 15

SP - 1

EP - 13

JO - Journal of Environmental Informatics

JF - Journal of Environmental Informatics

SN - 1726-2135

IS - 1

ER -