Abstract
As trees age, internal decay and the risk of stem failure become important management issues for arborists. To characterize the incidence and severity of internal decay in landscape oaks, 323 pairs of sonic and electrical resistance tomograms were generated from 186 trees, representing five species: Q. alba, Q. bicolor, Q. palustris, Q. rubra, and Q. velutina. Overall, 135 (73%) oaks had detectable decay. When intermediate sonic velocities were included, the mean area of decay (AD) was 41% with a mean strength loss (ZLOSS) of 35%. Among all oaks, Q. rubra had the highest frequency of decay symptoms and signs of a pathogen. Binomial regression showed that diameter, symptoms, and oak species were the best predictors of decay incidence, and beta regression showed that diameter, scanning height, and species were the best predictors of decay severity. Quercus alba had the highest mean AD while Q. bicolor or Q. palustris had significantly less decay, depending on tomogram interpretation, across all modeled conditions. Despite considerable variability, the empirical model of decay incidence and severity fit to tomography measurements can inform decay assessments of landscape oaks, but the detailed tomograms allowed more precise strength loss estimates, especially for offset decay columns.
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