Comparison of visual risk assessment methods applied in street trees of Montevideo city, Uruguay

Risk assessment of urban trees is an incipient practice in Latin America, generally performed with foreign methods, due to the lack of qualified personnel and locally validated or adapted methodology. This article evaluates the application of three methods on street trees in Montevideo city, Urugua...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Ameneiros, Cecilia, Fratti, Paulina, Sergio, Agustina, Coelho-Duarte, Ana Paula, Ponce-Donoso, Mauricio, Vallejos-Barra, Óscar
Formato: Online
Lenguaje:eng
Publicado: Facultad de Ciencias Agrarias-UNCuyo 2022
Materias:
Acceso en línea:https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/5124
id I11-R107article-5124
record_format ojs
institution Universidad Nacional de Cuyo
building Revistas en línea
filtrotop_str Revistas en línea
collection Revista de la Facultad de Ciencias Agrarias
journal_title_str Revista de la Facultad de Ciencias Agrarias
institution_str I-11
repository_str R-107
language eng
format Online
author Ameneiros, Cecilia
Fratti, Paulina
Sergio, Agustina
Coelho-Duarte, Ana Paula
Ponce-Donoso, Mauricio
Vallejos-Barra, Óscar
spellingShingle Ameneiros, Cecilia
Fratti, Paulina
Sergio, Agustina
Coelho-Duarte, Ana Paula
Ponce-Donoso, Mauricio
Vallejos-Barra, Óscar
Comparison of visual risk assessment methods applied in street trees of Montevideo city, Uruguay
arboriculture
hazard tree
risk component
tree risk
urban forest
arboricultura
árbol peligroso
componentes del riesgo
riesgo del árbol
bosque urbano
author_facet Ameneiros, Cecilia
Fratti, Paulina
Sergio, Agustina
Coelho-Duarte, Ana Paula
Ponce-Donoso, Mauricio
Vallejos-Barra, Óscar
author_sort Ameneiros, Cecilia
title Comparison of visual risk assessment methods applied in street trees of Montevideo city, Uruguay
title_short Comparison of visual risk assessment methods applied in street trees of Montevideo city, Uruguay
title_full Comparison of visual risk assessment methods applied in street trees of Montevideo city, Uruguay
title_fullStr Comparison of visual risk assessment methods applied in street trees of Montevideo city, Uruguay
title_full_unstemmed Comparison of visual risk assessment methods applied in street trees of Montevideo city, Uruguay
title_sort comparison of visual risk assessment methods applied in street trees of montevideo city, uruguay
description Risk assessment of urban trees is an incipient practice in Latin America, generally performed with foreign methods, due to the lack of qualified personnel and locally validated or adapted methodology. This article evaluates the application of three methods on street trees in Montevideo city, Uruguay: Tree Hazard Risk Evaluation and Treatment System (THREATS), Quantified Tree Risk Assessment (QTRA) and Best Management Practices - Tree Risk Assessment (ISA BMP). Three assessors with similar experience applied three methods in 36 trees of three widely used genera, totaling 324 assessments and 1,296 data. The methods were decomposed into the components: Likelihood of Failure, Likelihood of Impact, Consequence and Risk Rating. The data were statistically analyzed through a generalized linear mixed model (p<0.05), for the factors: assessor, method, genus, and their interactions. Results showed no significant differences among assessors, but there were differences among methods, specifically for the Likelihood of Impact and Risk Rating components. The ISA BMP method presented higher means in these last two components. Still, this method is suggested for street trees in Montevideo until a more appropriate method is adapted or developed for local conditions. Highlights No significant differences were found among assessors, which encourages standard training for all assessors. The ISA BMP method presented the highest results for the likelihood of impact and risk rating. Target occupation rate influenced differences among genera found for the likelihood of impact component. The ISA BMP method is suggested for street trees risk assessment in Montevideo, until a method is adapted or developed. The absence of descriptors and categorizations, as well as the application time, need to be improved.
publisher Facultad de Ciencias Agrarias-UNCuyo
publishDate 2022
url https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/5124
topic arboriculture
hazard tree
risk component
tree risk
urban forest
arboricultura
árbol peligroso
componentes del riesgo
riesgo del árbol
bosque urbano
topic_facet arboriculture
hazard tree
risk component
tree risk
urban forest
arboricultura
árbol peligroso
componentes del riesgo
riesgo del árbol
bosque urbano
work_keys_str_mv AT ameneiroscecilia comparisonofvisualriskassessmentmethodsappliedinstreettreesofmontevideocityuruguay
AT frattipaulina comparisonofvisualriskassessmentmethodsappliedinstreettreesofmontevideocityuruguay
AT sergioagustina comparisonofvisualriskassessmentmethodsappliedinstreettreesofmontevideocityuruguay
AT coelhoduarteanapaula comparisonofvisualriskassessmentmethodsappliedinstreettreesofmontevideocityuruguay
AT poncedonosomauricio comparisonofvisualriskassessmentmethodsappliedinstreettreesofmontevideocityuruguay
AT vallejosbarraoscar comparisonofvisualriskassessmentmethodsappliedinstreettreesofmontevideocityuruguay
_version_ 1800220932731568128
spelling I11-R107article-51242022-12-19T18:29:03Z Comparison of visual risk assessment methods applied in street trees of Montevideo city, Uruguay Comparison of visual risk assessment methods applied in street trees of Montevideo city, Uruguay Ameneiros, Cecilia Fratti, Paulina Sergio, Agustina Coelho-Duarte, Ana Paula Ponce-Donoso, Mauricio Vallejos-Barra, Óscar arboriculture hazard tree risk component tree risk urban forest arboricultura árbol peligroso componentes del riesgo riesgo del árbol bosque urbano Risk assessment of urban trees is an incipient practice in Latin America, generally performed with foreign methods, due to the lack of qualified personnel and locally validated or adapted methodology. This article evaluates the application of three methods on street trees in Montevideo city, Uruguay: Tree Hazard Risk Evaluation and Treatment System (THREATS), Quantified Tree Risk Assessment (QTRA) and Best Management Practices - Tree Risk Assessment (ISA BMP). Three assessors with similar experience applied three methods in 36 trees of three widely used genera, totaling 324 assessments and 1,296 data. The methods were decomposed into the components: Likelihood of Failure, Likelihood of Impact, Consequence and Risk Rating. The data were statistically analyzed through a generalized linear mixed model (p<0.05), for the factors: assessor, method, genus, and their interactions. Results showed no significant differences among assessors, but there were differences among methods, specifically for the Likelihood of Impact and Risk Rating components. The ISA BMP method presented higher means in these last two components. Still, this method is suggested for street trees in Montevideo until a more appropriate method is adapted or developed for local conditions. Highlights No significant differences were found among assessors, which encourages standard training for all assessors. The ISA BMP method presented the highest results for the likelihood of impact and risk rating. Target occupation rate influenced differences among genera found for the likelihood of impact component. The ISA BMP method is suggested for street trees risk assessment in Montevideo, until a method is adapted or developed. The absence of descriptors and categorizations, as well as the application time, need to be improved. Risk assessment of urban trees is an incipient practice in Latin America, generally performed with foreign methods, due to the lack of qualified personnel and locally validated or adapted methodology. This article evaluates the application of three methods on street trees in Montevideo city, Uruguay: Tree Hazard Risk Evaluation and Treatment System (THREATS), Quantified Tree Risk Assessment (QTRA) and Best Management Practices - Tree Risk Assessment (ISA BMP). Three assessors with similar experience applied three methods in 36 trees of three widely used genera, totaling 324 assessments and 1,296 data. The methods were decomposed into the components: Likelihood of Failure, Likelihood of Impact, Consequence and Risk Rating. The data were statistically analyzed through a generalized linear mixed model (p<0.05), for the factors: assessor, method, genus, and their interactions. Results showed no significant differences among assessors, but there were differences among methods, specifically for the Likelihood of Impact and Risk Rating components. The ISA BMP method presented higher means in these last two components. Still, this method is suggested for street trees in Montevideo until a more appropriate method is adapted or developed for local conditions. Highlights No significant differences were found among assessors, which encourages standard training for all assessors. The ISA BMP method presented the highest results for the likelihood of impact and risk rating. Target occupation rate influenced differences among genera found for the likelihood of impact component. The ISA BMP method is suggested for street trees risk assessment in Montevideo, until a method is adapted or developed. The absence of descriptors and categorizations, as well as the application time, need to be improved. Facultad de Ciencias Agrarias-UNCuyo 2022-12-19 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/5124 10.48162/rev.39.081 Revista de la Facultad de Ciencias Agrarias UNCuyo; Vol. 54 No. 2 (2022): July-December; 38-47 Revista de la Facultad de Ciencias Agrarias UNCuyo; Vol. 54 Núm. 2 (2022): Julio-Diciembre; 38-47 1853-8665 0370-4661 eng https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/5124/5012 Derechos de autor 2018 Revista de la Facultad de Ciencias Agrarias UNCuyo https://creativecommons.org/licenses/by-nc-sa/3.0/deed.es