Google Street View virtual survey and in-person field surveys: an exploratory comparison of urban tree risk assessment

Meunpong, Ponthep; Buathong, Saitan; Kaewgrajang, Tharnrat

doi:10.1080/03071375.2019.1643187

Cited by 12 publications

(8 citation statements)

References 23 publications

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“…Using the LUCAS database to estimate the distribution of various invasive species and their impact on the biota of natural and semi-natural habitats may be a cost-effective alternative for the detection of these species. In recent years, several papers have been published on the advantages and drawbacks of photograph-based techniques in relation to the distribution of different species, such as Google Street View [48][49][50][51]). These papers conclude that virtual survey is cost-effective, allows the handling of a large volume of data and may perform well in the identification of many species at least to the genus level.…”

Section: Discussionmentioning

confidence: 99%

Natura 2000 Areas, Road, Railway, Water, and Ecological Networks May Provide Pathways for Biological Invasion: A Country Scale Analysis

Szilassi

Soóky

Bátori

et al. 2021

Plants

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Invasive species are a major threat to biodiversity worldwide. Controlling their rapid spread can only be effective if we consider the geographical factors that influence their occurrence. For instance, roads, railway networks, green and blue infrastructure, and elements of ecological networks (e.g., ecological corridors) can facilitate the spread of invasive species. In our study, we mapped the occurrence of five invasive plant taxa (tree of heaven, common milkweed, Russian olive, black locust, and goldenrods) in Hungary, using field photos from the EUROSTAT Land Use and Coverage Area Frame Survey (LUCAS) database from the year 2015. Species point occurrence data were compared with the spatial characteristics of linear transport infrastructure and with the green and blue infrastructure. We found that the occurrence of tree of heaven and Russian olive was strongly related to the road and railway network. The average Euclidean distance of LUCAS points infected with these species from railway embankments and roads was much smaller than that of uninfected points. However, black locust and goldenrods were more common only along the road network. According to our results, the occurrence of some investigated invasive plants was over-represented in the HEN and within Natura 2000 areas of Hungary compared to non-infected points. Our results may provide important information for predicting the rate of invasion and for applying targeted management within the HEN, and Natura 2000 protected areas.

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Section: Discussionmentioning

confidence: 99%

Natura 2000 Areas, Road, Railway, Water, and Ecological Networks May Provide Pathways for Biological Invasion: A Country Scale Analysis

Szilassi

Soóky

Bátori

et al. 2021

Plants

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“…Trees present in urban areas are subject to different stresses and disturbances than those located in nonurban forest environments (MEUNPONG et al, 2019). Thus, to maintain their health, these trees must be able to adapt to the inherent characteristics of the urban environment, such as extreme weather events, and air and soil pollution (DURYEA; KAMPF, 2007).…”

Section: Introductionmentioning

confidence: 99%

Interdimensional Relationships of Trees in Green Areas in Central Curitiba, Paraná, Brazil

Júnior

Biondi²,

Reis³

et al. 2022

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Morphometric analysis of trees can help in the selection of the most suitable species in urban areas, by allowing us to understand the dynamics of tree growth forms. The objective was to develop a morphometric index for trees located in green areas of Curitiba, Paraná. 122 trees of the five species with the highest number of records of fall and removal in Curitiba were selected: Tipuana tipu, Jacaranda mimosifolia, Erythrina falcata, Melia azedarach and Ligustrum lucidum, in the Passeio Público Municipal of Curitiba and in nine squares located in the Centro district. From the biometric data obtained in the field, the Integrated Morphometric Index (IMI) was calculated through multivariate factorial analysis performed in the statistical software IBM SPSS® Statistics. There was low variability between interdimensional sizes, indicating a pattern of growth among species, especially for T. tipu. On the other hand, J. mimosifolia, E. falcata and M. azedarach present greater variability of the morphometric data, with trees of size considerably higher than the average of the others, while L. lucidum was the species with the smallest interdimensional size. The biometric variables total height, crown height, north crown radius, east crown radius and DBH were the most correlated with the tree growth pattern, explaining 57.9% of the data variation. The generated IMI was adequate to evaluate the behavior of the variables, as it explained 72% of the data variation. The T. tipu trees showed the lowest variability between their interdimensional sizes, thus indicating a more evident growth pattern for this species.

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“…Street trees are an important component of urban greening, and they provide many positive bene ts to the urban environment and the wellbeing of residents (Mullaney et Lopes et al, 2009). Under various natural and anthropogenic stresses, such as complex urban environments (Jia et al, 2021a;Jim, 2003;Burton, 2002), high-density building layouts (Tan et al, 2016;Wong, 2010), and poor growth conditions (Jim and Zhang, 2013;Jim, 2003;Loeb, 1992;Haaften et al, 2021), street trees are prone to unhealthy conditions, such as large crown deviation, leaning, internal decay, and root damage (Meunpong et al, 2019;Jia, 2014;Shu et al, 2011;Gao and Liu, 2014).. Severe weather events such as strong winds and heavy rain can trigger various risks, such as the breaking and falling of branches, trunks, or the entire tree (Gao and Liu, 2014), posing serious threats to urban tra c and the safety of residents and their property (Jia et al, 2021a;Lazim and Misni, 2016;Lopes et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

How to Accurately Detect and Assess the Street Trees Risk in Mega Cities: A Tree Risk Assessment Method and Its Application

Wei

et al. 2022

Preprint

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Traditional visual tree assessment based on rapid diagnosis is suitable for the rapid, large-scale assessment of urban tree risks, but it cannot accurately determine internal decay in trunks and underground root systems, may leading to highly subjective evaluation results. A risk matrix-based street tree risk assessment system was established by combining a visual tree assessment method, nondestructive detection techniques, information acquisition, and data analysis using a geographic information system (GIS). The method was used to conduct risk detection and assessment on 1,001 street trees with a diameter at breast height greater than 40 cm on 14 streets in a Historic Features Protection Area of Shanghai. The result showed that: 1) The branch and the trunk risk possibility of the vast majority of street trees were at level 2 or below, while the root risk possibility of more than one third of the trees was at level 3 or above. 2) The risk level of 23% of the trees in the protected area was moderate or above, while that of most of the other trees was at a negligible or acceptable level. The risk consequence severity level was high for trees on Tianping Road but low for trees on Donghu Road and Taojiang Road. 3) The street tree risk level shows a strong correlation with the presence of tree cavities, diseases and insect pests, the depth and range of root distribution, leaning, and internal decay in trunks, and the risk points are concentrated in the trunk and root system. Conducting a risk assessment of street trees based on precision diagnosis techniques can improve the scientific rigor of the assessment. The results of this work can provide a basis for the accurate assessment of street trees risk in some large cities, which provides a new assessment system for the trees risk assessment in important urban areas, and the approach is conducive to the refined management of urban greening trees.

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Google Street View virtual survey and in-person field surveys: an exploratory comparison of urban tree risk assessment

Cited by 12 publications

References 23 publications

Natura 2000 Areas, Road, Railway, Water, and Ecological Networks May Provide Pathways for Biological Invasion: A Country Scale Analysis

Natura 2000 Areas, Road, Railway, Water, and Ecological Networks May Provide Pathways for Biological Invasion: A Country Scale Analysis

Interdimensional Relationships of Trees in Green Areas in Central Curitiba, Paraná, Brazil

How to Accurately Detect and Assess the Street Trees Risk in Mega Cities: A Tree Risk Assessment Method and Its Application

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