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White pine blister rust in the central Rocky Mountains: modeling current status and potential impacts

dc.contributor.authorKearns, Holly S. J., author
dc.contributor.authorJacobi, William, advisor
dc.contributor.authorLundquist, John E., committee member
dc.contributor.authorRomme, William H., committee member
dc.contributor.authorReich, Robin M., committee member
dc.date.accessioned2026-02-23T19:16:32Z
dc.date.issued2005
dc.description.abstractThe purpose of this project was to examine the current status of white pine blister rust and to develop models that predict the likelihood of disease occurrence in and damage to native white pine populations in the central Rocky Mountains. A survey of limber pine to determine the geographical distribution, incidence, and severity of white pine blister rust (WPBR), caused by the introduced forest pathogen Cronartium ribicola, was performed in central and southeastern Wyoming and northern Colorado in 2002-2004. WPBR was present on 55% of the 504 survey plots. Incidence, the proportion of infected trees, ranged from Oto 100% and averaged 15.5% over all plots and 28.0% on infested plots. Diameter class and crown class were significantly related to likelihood of infection by WPBR. Incidence varied significantly by elevation and slope position and did not vary by aspect, limber pine density, slope configuration, or degree of canopy closure. In the summers of 2002-2004, 1258 survey plots were established to determine the distribution of Ribes species, the alternate host for the pathogen, growing within and in the vicinity of native white pine stands in Colorado and Wyoming. Species of Ribes were present in all study areas. The most commonly encountered species were R. cereum, R. inerme, R. lacustre, and R. montigenum. Densities and probabilities of occurrence were related to site variables and varied by Ribes species. Ribes cereum had higher densities in dry, open areas than in moist, densely forested areas. Ribes inerme had highest densities on lower elevation, riparian and wetlands areas with components of aspen and willow. Ribes lacustre was associated with riparian areas and closed canopy forests with components of Engelmann spruce, subalpine fir, and alder. Ribes montigenum had highest densities in high elevation, open stands of Engelmann spruce. An analysis of canker growth rates was performed on 134 WPBR cankers harvested from limber pine. Mean annual total longitudinal (both up and down the branch or stem) growth rate was 8.4cm/yr. Annual proximal (toward the stem) canker growth rate averaged 4.9cm/yr, and circumferential (around the branch or stem) growth rate averaged 6.5cm/yr. Longitudinal canker growth rate varied by branch diameter, branch height, and condition of the branch distal to the canker, but did not vary by study area. The data collected in the field surveys was used to develop a series of regression and categorical and regression tree analysis models to predict risk and hazard of WPBR in Colorado. Risk models predicting the presence of WPBR employed meteorological, Ribes, and tree size data and resulted in good agreement between predicted and actual presence. Models developed to predict disease pressure and hazard also employed meteorological, Ribes, and plot-level data. The complexity of modeling disease epidemics across vast landscapes will likely require calibration of models to specific conditions found in Colorado.
dc.format.mediumdoctoral dissertations
dc.identifier.urihttps://hdl.handle.net/10217/243363
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.rights.licensePer the terms of a contractual agreement, all use of this item is limited to the non-commercial use of Colorado State University and its authorized users.
dc.subjectforestry
dc.titleWhite pine blister rust in the central Rocky Mountains: modeling current status and potential impacts
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineBioagricultural Sciences and Pest Management
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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