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Published:
Jul 30, 2021
Keywords:
arboriculture
urban trees
hazard tree
tree risk rating
linear mixed model

Abstract

The risk assessment of urban trees is a challenge that must be addressed by many cities, in consideration of their climatology, management and spatial heterogeneity. Since these trees are in stages of aging, added to bad practices, inadequate selection and establishment, amongst others, their early elimination, and hence the loss of the ecosystem services they provide, is being promoted. For this reason, two tree risk assessment methods were developed to be applied in a complementary manner in urban parks, one basic visual (BV) and the other detailed visual (DV), both structured with the components of likelihood of failure, likelihood of impact, consequence and risk rating, being analyzed qualitatively and semi quantitatively. The methods were applied in 24 trees of Eucalyptus and Tipuana genus by two groups of assessors, experienced and inexperienced, totaling 192 assessments. Results were analyzed with a linear mixed model (LMM), which showed differences between both methods for the likelihood of failure, where the assessment of branches turned out to be the attribute with the highest impact. The methods proved to be suitable to be used in a complementary manner, since BV turns out to be efficient when it is necessary to assess a large number of trees. DV turned out to be more effective, since it was able to identify more precisely the attributes of the tree that must be considered for adequate risk mitigation and management. Therefore, their combined use is recommended for risk assessment in trees established in parks.

Ana Paula Coelho Duarte
Gustavo Daniluk Mosquera
Virginia Gravina
Andrés Hirigoyen
Óscar Vallejos Barra
Mauricio Ponce Donoso
Author Biographies

Ana Paula Coelho Duarte, Universidad de la República, Facultad de Agronomía, Departamento de Producción Forestal y Tecnología de la Madera, Montevideo, Uruguay.

Universidad de la República, Facultad de Agronomía, Departamento de Producción Forestal y Tecnología de la Madera, Avda. Garzón 780, 12900 Montevideo, Uruguay, paula.coelho@fagro.edu.uy, gdaniluk@fagro.edu.uy

Gustavo Daniluk Mosquera, Universidad de la República, Facultad de Agronomía, Departamento de Producción Forestal y Tecnología de la Madera, Montevideo, Uruguay.

Universidad de la República, Facultad de Agronomía, Departamento de Producción Forestal y Tecnología de la Madera, Avda. Garzón 780, 12900 Montevideo, Uruguay, paula.coelho@fagro.edu.uy, gdaniluk@fagro.edu.uy

Virginia Gravina, Universidad de la República, Facultad de Agronomía, Departamento de Biometría, Estadística y Computación, Uruguay.

Universidad de la República, Facultad de Agronomía, Departamento de Biometría, Estadística y Computación, Avda. Garzón 780, 12900 Montevideo, Uruguay, virginia@fagro.edu.uy

Andrés Hirigoyen, Instituto Nacional de Investigación Agropecuaria, Programa Nacional de Investigación en Producción Forestal, Tacuarembó, Uruguay.

Instituto Nacional de Investigación Agropecuaria, Programa Nacional de Investigación en Producción Forestal, Ruta 5 km 386, Tacuarembó, Uruguay, andreshirigoyen@gmail.com

Óscar Vallejos Barra, Universidad de Talca, Escuela de Ingeniería Forestal, Talca, Chile.

Universidad de Talca, Escuela de Ingeniería Forestal, Avda. Lircay s/n, Talca, Chile, tel.: 56-71-2200432, ovallejo@utalca.cl

Mauricio Ponce Donoso, Universidad de Talca, Escuela de Ingeniería Forestal, Talca, Chile.

Universidad de Talca, Escuela de Ingeniería Forestal, Avda. Lircay s/n, Talca, Chile, tel.: 56-71-2200432, ovallejo@utalca.cl

How to Cite
Coelho Duarte, A. P., Daniluk Mosquera, G., Gravina, V., Hirigoyen, A., Vallejos Barra, Óscar, & Ponce Donoso, M. (2021). Proposal of two visual tree risk assessment methods for urban parks in Montevideo, Uruguay. Revista Bosque, 42(2), 259–268. Retrieved from https://revistabosque.org/index.php/bosque/article/view/221

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