Abstract

Research has shown urban trees have numerous benefits for society, many of which are not realized until trees have grown to a mature size. However, many trees are removed every year due to their negative impacts on urban infrastructure before their benefits are fully realized. Trunk flares and roots damage sidewalks and other urban infrastructure. This study's intent was to create predictive models for two tree genera commonly planted as street trees in Minnesota landscapes. Linear regression techniques were used to create predictive equations using diameter at breast height (DBH) as the primary predictive variable. Predictive models of trunk flare diameter at ground line (TFD) have potential to provide urban foresters and urban planners with a practical method for predicting TFD in order to aid infrastructure plans that reduce conflicts between urban trees and urban infrastructure.

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