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

IF 0.6 4区 农林科学
Ana Paula Coelho-Duarte, Gustavo Daniluk-Mosquera, V. Gravina, A. Hirigoyen, Óscar Vallejos-Barra, M. Ponce-Donoso
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引用次数: 2

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.
乌拉圭蒙得维的亚城市公园两种视觉树木风险评估方法的建议
考虑到城市树木的气候、管理和空间异质性,城市树木的风险评估是许多城市必须解决的挑战。由于这些树木正处于衰老阶段,再加上不良做法、选择和建立不当等,它们被提前淘汰,从而失去了它们提供的生态系统服务,这一现象正在得到促进。因此,开发了两种树木风险评估方法,以互补的方式应用于城市公园,一种是基本视觉(BV),另一种是详细视觉(DV),这两种方法都由失效可能性、影响可能性、后果和风险评级组成,并进行了定性和半定量分析。该方法由经验丰富和缺乏经验的两组评估员应用于桉树属和蒂普安娜属的24棵树上,共进行了192次评估。结果采用线性混合模型(LMM)进行分析,表明两种方法在失败可能性方面存在差异,其中对分支的评估是影响最大的属性。事实证明,这些方法适合以互补的方式使用,因为当需要评估大量树木时,BV是有效的。事实证明,DV更有效,因为它能够更准确地确定树木的属性,这些属性必须被考虑,才能充分缓解和管理风险。因此,建议将其组合用于公园内树木的风险评估。
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来源期刊
BOSQUE
BOSQUE Agricultural and Biological Sciences-Forestry
CiteScore
0.70
自引率
0.00%
发文量
0
期刊介绍: BOSQUE publishes original works in the field of management and production of forestry resources, wood science and technology, silviculture, forestry ecology, natural resources conservation, and rural development associated with forest ecosystems. Contributions may be articles, rewiews, notes or opinions, Either in Spanish or English.
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