Key message <p>Visual inspection parameters for predicting the risk of urban trees falling match the actual internal condition of the stem, as well as the results of tomograms (SoT and ERT).</p> Abstract <p>Eliminating the risk of tree falls in urban areas is economically and technically unfeasible. Effective management requires reliable tools to guide interventions and maximize urban forest benefits. This study examined the relationship between visual analysis and the internal condition of <i>Spathodea campanulata</i> trunks, using sonic (SoT) and electrical resistance (ERT) tomograms. The trunk sections from 30 removed trees at UFV (Viçosa-MG) were analyzed. The cavities appeared in 26.7% of cases, cracks in 20%, and wood deterioration in 10%. Tomograms aligned with cutting results in 70% of cases, with sonic tomography being easier for cavity detection and electrical tomography more accurate for wood deterioration. It was not possible to define a visual analysis methodology with association with the problems evidenced in the section. Combining tomographic and visual inspections enhances tree fall risk assessments.</p>

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Association of the internal trunk condition of Spathodea campanulata P. Beauv. with tomograms and visual parameters of fall risk

  • Tamílis das Graças Emerick,
  • Angeline Martini,
  • Marina Moura de Souza

摘要

Key message

Visual inspection parameters for predicting the risk of urban trees falling match the actual internal condition of the stem, as well as the results of tomograms (SoT and ERT).

Abstract

Eliminating the risk of tree falls in urban areas is economically and technically unfeasible. Effective management requires reliable tools to guide interventions and maximize urban forest benefits. This study examined the relationship between visual analysis and the internal condition of Spathodea campanulata trunks, using sonic (SoT) and electrical resistance (ERT) tomograms. The trunk sections from 30 removed trees at UFV (Viçosa-MG) were analyzed. The cavities appeared in 26.7% of cases, cracks in 20%, and wood deterioration in 10%. Tomograms aligned with cutting results in 70% of cases, with sonic tomography being easier for cavity detection and electrical tomography more accurate for wood deterioration. It was not possible to define a visual analysis methodology with association with the problems evidenced in the section. Combining tomographic and visual inspections enhances tree fall risk assessments.