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Movement of outbreak populations of mountain pine beetle: influences of spatiotemporal patterns and climate
Brian H. Aukema, Allan L. Carroll, Yanbing Zheng, Jun Zhu, Kenneth F. Raffa, R. Dan Moore, Kerstin Stahl and Stephen W. Taylor,
Correspondence to B. Aukema (Brian.Aukema@nrcan.gc.ca), Natural Resources Canada, Canadian Forest Service, Univ. of Northern British Columbia, 2019 Administration Building, 3333 University Way, Prince George, BC, Canada, V2N 4Z9. – A. Carroll and S. Taylor, Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, 506 West Burnside Road, Victoria, BC, Canada, V8Z 1M5. – Y. Zheng, Dept of Statistics, Univ. of Kentucky, 873 Patterson Office Tower, Lexington, KY 40506, USA. – J. Zhu, Dept of Statistics, Univ. of Wisconsin, Medical Science Center, 1300 Univ. Ave., Madison, WI 53705, USA. – K. Raffa, Dept of Entomology, Univ. of Wisconsin, 345 Russell Laboratories, 1630 Linden Drive, Madison, WI 53706, USA. – R. D. Moore, Dept of Geography and Dept of Forest Resources Management, Univ. of British Columbia, Room 225, 1984 West Mall, Vancouver, BC, Canada, V6T 1Z2 – K. Stahl, Dept of Geography, Univ. of British Columbia, 1984 West Mall, Vancouver, BC, Canada, V6T 1Z2.
Copyright Journal compilation © 2007 Ecography

ABSTRACT

Insect outbreaks exert landscape-level influences, yet quantifying the relative contributions of various exogenous and endogenous factors that contribute to their pattern and spread remains elusive. We examine an outbreak of mountain pine beetle covering an 800 thousand ha area on the Chilcotin Plateau of British Columbia, Canada, during the 1970s and early 1980s. We present a model that incorporates the spatial and temporal arrangements of outbreaking insect populations, as well as various climatic factors that influence insect development. Onsets of eruptions of mountain pine beetle demonstrated landscape-level synchrony. On average, the presence of outbreaking populations was highly correlated with outbreaking populations within the nearest 18  km the same year and local populations within 6 km in the previous two years. After incorporating these spatial and temporal dependencies, we found that increasing temperatures contributed to explaining outbreak probabilities during this 15  yr outbreak. During collapse years, landscape-level synchrony declined while local synchrony values remained high, suggesting that in some areas host depletion was contributing to population decline. Model forecasts of outbreak propensity one year in advance at a 12 by 12  km scale provided 80% accuracy over the landscape, and never underestimated the occurrence of locally outbreaking populations. This model provides a flexible approach for linking temperature and insect population dynamics to spatial spread, and complements existing decision support tools for resource managers.


Manuscript Accepted 18 December 2007

DIGITAL OBJECT IDENTIFIER (DOI)
10.1111/j.0906-7590.2007.05453.x About DOI

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