Skip to Main Content
Demographic projection of high-elevation white pines infected with white pine blister rust: a nonlinear disease modelAuthor(s): S. G. Field; A. W. Schoettle; J. G. Klutsch; S. J. Tavener; M. F. Antolin
Source: Ecological Applications. 22(1): 166-183.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
PDF: Download Publication (1.21 MB)
DescriptionMatrix population models have long been used to examine and predict the fate of threatened populations. However, the majority of these efforts concentrate on long-term equilibrium dynamics of linear systems and their underlying assumptions and, therefore, omit the analysis of transience. Since management decisions are typically concerned with the short term (<100 years), asymptotic analyses could lead to inaccurate conclusions or, worse yet, critical parameters or processes of ecological concern may go undetected altogether.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationField, S. G.; Schoettle, A. W.; Klutsch, J. G.; Tavener, S. J.; Antolin, M. F. 2012. Demographic projection of high-elevation white pines infected with white pine blister rust: a nonlinear disease model. Ecological Applications. 22(1): 166-183.
KeywordsCronartium ribicola, disease prevalence, elasticity, five-needle pine, nonlinear disease model, Pinus albicaulis, Pinus flexilis, sensitivity, stage-structured model
- Monitoring white pine blister rust infection and mortality in whitebark pine in the Greater Yellowstone ecosystem
- Resistance to white pine blister rust in Pinus flexilis and P
- White pine blister rust resistance in limber pine: Evidence for a major gene
XML: View XML