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• W3032275007 abstract "Abstract Forests of the Eastern United States and North Eastern Canada have been devastated by the onslaught of beech bark disease (BBD). The cultivation and management of resistant trees is an important conservation issue. Disease resistance is an interplay between tree genetics and environmental factors. To further understand resistance to BBD, this study investigates the contribution of topographic factors to both the occurrence and the severity of beech bark disease through the examination of small-scale patterns of disease. Approximately two hundred trees of the species Fagus grandifolia (American beech) located on an eighty-five-acre plot in southwestern Vermont were monitored over five years for the presence and severity of BBD. Trees were examined yearly, during which time diameter at breast height (DBH) was recorded as well as a measure of disease severity. Topographical factors (aspect, slope, curvature, elevation, and aspect • slope) were assessed as potential predictors of disease presence and severity. Two distance measures of disease presence in nearby trees were also included to control for the spatial spread of the disease. Akaike’s Information Criterion (AIC) was used to determine which subset of parameters yielded the best binary and ordinal logistic models of disease presence and rank. Bayesian analysis was used to determine the joint posterior distribution for model parameters. Slope was a both significant factors in determining disease presence. Slope • aspect was significant in determining both the presence and disease severity. DBH, time, and weighted distance to diseased trees were strong indicators of both disease presence and severity. Curvature and elevation were not significant factors. Predictive models based on identified local topographical parameters can identify environmental factors conducive to resistance which can be utilized to inform and designate regional beech restoration sites. Such models can also identify potential candidate trees for resistance screening and genetic profiling. With the more recent availability of higher resolution USGS topographic maps for the northeastern United States, it is easier to determine and evaluate ideal resistant beech habitat. From these maps we can predict regions with healthier beech trees and suggest potential ecologically favorable restoration sites only using slope and aspect." @default.
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• W3032275007 date "2020-09-01" @default.
• W3032275007 modified "2023-09-27" @default.
• W3032275007 title "A Bayesian analysis of topographic influences on the presence and severity of beech bark disease" @default.
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• W3032275007 doi "https://doi.org/10.1016/j.foreco.2020.118198" @default.
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