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Skip to Search Results- 2Mark A. Lewis
- 1Alamouti, Sepideh Massoumi
- 1Bohlmann, Jörg
- 1Breuil, Colette
- 1Dean Koch
- 1Erbilgin, Nadir
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2020-06-01
Jones, Kelsey L., Rajabzadeh, Rahmatollah, Ishangulyyeva, Guncha, Erbilgin, Nadir, Evenden, Maya L.
Flight polyphenisms naturally occur as discrete or continuous traits in insects. Discrete flight polyphenisms include winged and wingless morphs, whereas continuous flight polyphenisms can take the form of short- or long-distance fliers. The mountain pine beetle (Dendroctonus ponderosae) exhibits...
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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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Target-specific PCR primers can detect and differentiate ophiostomatoid fungi from microbial communities associated with the mountain pine beetle Dendroctonus ponderosae.
Download2010-01-01
Khadempour, Lily, Alamouti, Sepideh Massoumi, Hamelin, Richard, Bohlmann, Jörg, Breuil, Colette
The aim of this study was to develop DNA probes that could identify the major fungal species associated with mountain pine beetles (MPB). The beetles are closely associated with fungal species that include ophiostomatoid fungi that can be difficult to differentiate morphologically. The most...
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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...