Proposal of two visual tree risk assessment methods for urban parks in Montevideo, Uruguay

datacite.creatorCoelho-Duarte, Ana Paula
datacite.creatorDaniluk-Mosquera, Gustavo
datacite.creatorGravina, Virginia
datacite.creatorHirigoyen, Andrés
datacite.creatorVallejos-Barra, Oscar
datacite.creatorPonce-Donoso, Mauricio
datacite.date.issued2021
datacite.identifierDOI
datacite.identifier.doi10.4067/S0717-92002021000200259
datacite.identifier.issn0717-9200
datacite.identifier.orcid0000-0002-9914-0032
datacite.identifier.orcid0000-0001-9949-2057
datacite.identifier.orcid0000-0001-9949-2057
datacite.identifier.orcid0000-0002-5792-2669
datacite.identifier.orcid0000-0002-2116-1095
datacite.identifier.orcid0000-0002-0155-0835
datacite.identifier.orcid0000-0001-9949-2057
datacite.identifier.wosidWOS:000691993800008
datacite.rightsAcceso Libre
datacite.subjectArboriculture
datacite.subjectUrban trees
datacite.subjectHazard Tree
datacite.subjectTree Risk Rating
datacite.subjectLinear Mixed Model
datacite.titleProposal of two visual tree risk assessment methods for urban parks in Montevideo, Uruguay
dc.date.accessioned2024-11-08T12:34:33Z
dc.date.available2024-11-08T12:34:33Z
dc.description.abstractThe 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.
dc.description.pages9 p.
dc.identifier.urihttps://repositorio.utalca.cl/repositorio/handle/1950/14457
dc.languageInglés
dc.publisherUniv. Austral de Chile
dc.relation.urihttps://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-92002021000200259&lng=en&nrm=iso&tlng=en
dc.sourceBOSQUE
oaire.citationTitleBOSQUE
oaire.licenseConditionhttps://creativecommons.org/licenses/by-sa/4.0/deed.es
oaire.licenseCondition.urihttps://creativecommons.org/licenses/by-sa/4.0/deed.es
oaire.resourceTypeArtículo
oaire.versionVersión Publicada
utalca.catalogadorAGA
utalca.facultadUniversidad de Talca (Chile)
utalca.idcargaaga081124
utalca.indexArtículo indexado en Web of Science
utalca.indexArtículo indexado en Scopus
utalca.informaciondegeneroHombre y Mujer
utalca.odsCiudades y Comunidades Sostenibles
utalca.odsAcción por el Clima
utalca.odsVida de Ecosistemas Terrestres
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