2020
DOI: 10.3390/f11101064
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Identifying Tree Traits for Cooling Urban Heat Islands—A Cross-City Empirical Analysis

Abstract: Research Highlights: This paper presents a cross-city empirical study on micro-climatic thermal benefits of urban trees, using machine-learning analysis to identify the importance of several in situ measured tree physiognomy traits for cooling. Background and Objectives: Green infrastructure and trees in particular play a key role in mitigating the urban heat island (UHI) effect. A more detailed understanding of the cooling potential of urban trees and specific tree traits is necessary to support tree manageme… Show more

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Cited by 21 publications
(5 citation statements)
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“…SLA was found to have the strongest positive association (+ 1) with most ES, including biomass production, water regulation, nutrient cycling, litter decomposition, and aesthetic appeal, and a strong negative association with phytoremediation (− 1). However, some of the ES (biomass production, water regulation, litter decomposition) has the exact opposite associations with LDMC, which have also been confirmed earlier in several studies focusing on trait-service linkages (Bihuňová et al 2021;Cebrian-Piqueras et al 2021;Helletsgruber et al 2020;Tasset et al 2019;Yang et al 2019). LA, LNC, root length, and root density also had similar linkage associations to SLA; however, it varies, probably due to the limited focus on these traits compared to SLA and LDMC.…”
Section: Trait-service Associationsupporting
confidence: 76%
“…SLA was found to have the strongest positive association (+ 1) with most ES, including biomass production, water regulation, nutrient cycling, litter decomposition, and aesthetic appeal, and a strong negative association with phytoremediation (− 1). However, some of the ES (biomass production, water regulation, litter decomposition) has the exact opposite associations with LDMC, which have also been confirmed earlier in several studies focusing on trait-service linkages (Bihuňová et al 2021;Cebrian-Piqueras et al 2021;Helletsgruber et al 2020;Tasset et al 2019;Yang et al 2019). LA, LNC, root length, and root density also had similar linkage associations to SLA; however, it varies, probably due to the limited focus on these traits compared to SLA and LDMC.…”
Section: Trait-service Associationsupporting
confidence: 76%
“…Since we were more interested in the smaller plot level, our results are more comparable to studies on the effect of individual trees in urban landscapes. A study by Helletsgruber et al (2020) demonstrates that total canopy height and canopy area are more important tree variables in determining air temperature cooling beneath a shade tree compared to LAI measurements in urban European environments. However, in the urban forestry literature, canopy height is often associated with surface temperature cooling rather than air temperature, due to the influence of the area and duration of tree shading directly on surfaces (Rahman et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Canopy temperature can be a direct measure for the health of urban trees [14]. Many studies have been conducted acknowledging the importance of the relationship between wildfires and surface temperatures [15,16]. In addition to forests, studies have also been conducted to monitor the changes in trees and distinct types of vegetation in urban areas and the consequences of these changes in terms of urban heat islands [15,16].…”
Section: Introductionmentioning
confidence: 99%
“…Many studies have been conducted acknowledging the importance of the relationship between wildfires and surface temperatures [15,16]. In addition to forests, studies have also been conducted to monitor the changes in trees and distinct types of vegetation in urban areas and the consequences of these changes in terms of urban heat islands [15,16]. There are a variety of issues interlinked with the increase in surface temperatures; for example, trend analyses of forest fire hot spots were carried out for the western Himalyians to check their relationship with LST.…”
Section: Introductionmentioning
confidence: 99%