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Mountain Pine Beetle Brood Production in Relation to Thickness of Lodgepole Pine Phloem1
Abstract
The effects of phloem thickness of lodgepole pine, Pinus contorta Douglas, and number of inches of egg gallery of Dendroctonus ponderosae Hopkins on brood production of the beetle were investigated in laboratory studies. Brood production ranged from an average of 16 beetles for phloem 0.09 inches thick to 94 beetles for phloem 0.23 inches thick. Brood production ranged from about 3 beetles for 10 inches of egg gallery to 130 beetles for 174 inches of egg gallery. When food supply limited production, numbers of emerging brood adults increased linearly with phloem thickness. When food supply did not limit production, numbers of emerging brood adults increased exponentially with an increase in inches of egg gallery.
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Citations
Cited by
Raffa, K. F., & Berryman, A. A. (1983) · Ecological Monographs · doi:10.2307/1942586 · Cited by 668
Fettig, C. J., Klepzig, K. D., Billings, R. F., Munson, A. S., Nebeker, T. E., Negrón, J. F., & Nowak, J. T. (2007) · Forest Ecology and Management · doi:10.1016/j.foreco.2006.10.011 · Cited by 529
KIRKENDALL, L. R. (1983) · Zoological Journal of the Linnean Society · doi:10.1111/j.1096-3642.1983.tb00858.x · Cited by 294
Metadata
- Authors
- Amman, G. D.
- Venue
- Journal of Economic Entomology
- Publisher
- Oxford University Press (OUP)
- Published
- 1972-02-01
- Volume
- 65
- Issue
- 1
- Pages
- 138-140
- ISSN
- 0022-0493 (ISSN-L)
- 1938-291X
- OpenAlex
- W2314800303
- Cited by
- 173
- References
- 0
- FWCI
- 1.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- Amman, G. D. (1972). Mountain Pine Beetle Brood Production in Relation to Thickness of Lodgepole Pine Phloem1. Journal of Economic Entomology. https://doi.org/10.1093/jee/65.1.138
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
