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Skip to Search Results- 3Mountain pine beetle
- 1Endemic
- 1Future infestations
- 1Insect spread
- 1Integrodifference equation
- 1Kernel
- 3Biological Sciences, Department of
- 3Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 2The NSERC TRIA Network (TRIA-Net)
- 2The NSERC TRIA Network (TRIA-Net)/Journal Articles (TRIA-Net)
- 1Mathematical and Statistical Sciences, Department of
- 1Mathematical and Statistical Sciences, Department of/Research Publications (Mathematical and Statistical Sciences)
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2010-01-01
MARK A. LEWIS, WILLIAM NELSON, CAILIN XU
A vigor-structured model for mountain pine beetle outbreak dy- namics within a forest stand is proposed and analyzed. This model explicitly tracks the changing vigor structure in the stand. All model parameters, other than beetle vigor preference, were determined by tting model components to...
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2021-10-01
Pouria Ramazi, Mélodie Kunegel-Lion, Russell Greiner, Mark A. Lewis
Planning forest management relies on predicting insect outbreaks such as mountain pine beetle, particularly in the intermediate‐term future, e.g., 5‐year. Machine‐learning algorithms are potential solutions to this challenging problem due to their many successes across a variety of prediction...
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2021-05-01
Dean Koch, Mark A. Lewis, Subhash Lele
The mountain pine beetle (MPB) is among the most destructive eruptive forest pests in North America. A recent increase in the frequency and severity of outbreaks, combined with an eastward range expansion towards untouched boreal pine forests, has spurred a great interest by government, industry...