Demographic projection of high-elevation white pines infected with white pine blister rust: a nonlinear disease model

Matrix 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 manag...

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Bibliographic Details
Published in:Ecological applications 2012-01, Vol.22 (1), p.166-183
Main Authors: Field, S. G, Schoettle, A. W, Klutsch, J. G, Tavener, S. J, Antolin, M. F
Format: Article
Language:English
Subjects:
Adults
Altitude
Cronartium ribicola
Disease models
disease prevalence
Disease Susceptibility
Ecological balance
Ecological modeling
Ecosystem
elasticity
Environmental Monitoring
Fecundity
five-needle pine
Infections
Models, Biological
Mortality
nonlinear disease model
Nonlinear Dynamics
Parametric models
Pinus - microbiology
Pinus - physiology
Pinus albicaulis
Pinus flexilis
Plant Diseases - microbiology
Plant Leaves - microbiology
Population Density
Population Dynamics
Population parameters
Seedlings
sensitivity
stage-structured model
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Summary:Matrix 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 (
ISSN:1051-0761
1939-5582
DOI:10.1890/11-0470.1