Identifying Tree Traits for Cooling Urban Heat Islands—A Cross-City Empirical Analysis
<i>Research Highlights: </i>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. <i>Background and Objectives&l...
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doaj-d2f1c451b1424ec0ad7a47bbaf1c22652020-11-25T03:20:04ZengMDPI AGForests1999-49072020-09-01111064106410.3390/f11101064Identifying Tree Traits for Cooling Urban Heat Islands—A Cross-City Empirical AnalysisCarola Helletsgruber0Sten Gillner1Ágnes Gulyás2Robert R. Junker3Eszter Tanács4Angela Hof5Department of Geography and Geology, University of Salzburg, 5020 Salzburg, AustriaInstitute of Forest Botany and Forest Zoology, TU Dresden, 01069 Dresden, GermanyDepartment of Climatology and Landscape Ecology, University of Szeged, 6722 Szeged, HungaryEvolutionary Ecology of Plants, Department of Biology, Philipps-University Marburg, 35043 Marburg, GermanyInstitute of Ecology and Botany, Centre for Ecological Research, 2163 Vácrátót, HungaryDepartment of Geography and Geology, University of Salzburg, 5020 Salzburg, Austria<i>Research Highlights: </i>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. <i>Background and Objectives</i>: 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 management decisions for cooling our progressively hot cities. The goal of this study was to identify the influence and importance of various tree traits and site conditions. <i>Materials and Methods:</i> Surface temperature, air temperature at 1.1 m and at tree crown height, as well as wet bulb globe-temperature of shaded and fully sun-exposed reference areas, were used to study the cooling effect of seven different urban tree species. For all 100 individuals, tree height, crown base, trunk circumference, crown volume, crown area, leaf area index (LAI) and leaf area density (LAD) were measured. Measurements were conducted in the cities of Dresden, Salzburg, Szeged, and Vienna as representatives for middle European cities in different climate zones. <i>Results:</i> Beside site conditions, tree species, height, height of crown base, as well as trunk circumference, have a great influence on the cooling effect for city dwellers. The trunk circumference is a very valuable indicator for estimating climate regulating ecosystem services and therefore a highly robust estimator for policy makers and tree management practitioners when planning and managing urban green areas for improving the availability and provision of ecosystem services.https://www.mdpi.com/1999-4907/11/10/1064microclimatetree physiognomyrandom forest |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Carola Helletsgruber Sten Gillner Ágnes Gulyás Robert R. Junker Eszter Tanács Angela Hof |
spellingShingle |
Carola Helletsgruber Sten Gillner Ágnes Gulyás Robert R. Junker Eszter Tanács Angela Hof Identifying Tree Traits for Cooling Urban Heat Islands—A Cross-City Empirical Analysis Forests microclimate tree physiognomy random forest |
author_facet |
Carola Helletsgruber Sten Gillner Ágnes Gulyás Robert R. Junker Eszter Tanács Angela Hof |
author_sort |
Carola Helletsgruber |
title |
Identifying Tree Traits for Cooling Urban Heat Islands—A Cross-City Empirical Analysis |
title_short |
Identifying Tree Traits for Cooling Urban Heat Islands—A Cross-City Empirical Analysis |
title_full |
Identifying Tree Traits for Cooling Urban Heat Islands—A Cross-City Empirical Analysis |
title_fullStr |
Identifying Tree Traits for Cooling Urban Heat Islands—A Cross-City Empirical Analysis |
title_full_unstemmed |
Identifying Tree Traits for Cooling Urban Heat Islands—A Cross-City Empirical Analysis |
title_sort |
identifying tree traits for cooling urban heat islands—a cross-city empirical analysis |
publisher |
MDPI AG |
series |
Forests |
issn |
1999-4907 |
publishDate |
2020-09-01 |
description |
<i>Research Highlights: </i>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. <i>Background and Objectives</i>: 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 management decisions for cooling our progressively hot cities. The goal of this study was to identify the influence and importance of various tree traits and site conditions. <i>Materials and Methods:</i> Surface temperature, air temperature at 1.1 m and at tree crown height, as well as wet bulb globe-temperature of shaded and fully sun-exposed reference areas, were used to study the cooling effect of seven different urban tree species. For all 100 individuals, tree height, crown base, trunk circumference, crown volume, crown area, leaf area index (LAI) and leaf area density (LAD) were measured. Measurements were conducted in the cities of Dresden, Salzburg, Szeged, and Vienna as representatives for middle European cities in different climate zones. <i>Results:</i> Beside site conditions, tree species, height, height of crown base, as well as trunk circumference, have a great influence on the cooling effect for city dwellers. The trunk circumference is a very valuable indicator for estimating climate regulating ecosystem services and therefore a highly robust estimator for policy makers and tree management practitioners when planning and managing urban green areas for improving the availability and provision of ecosystem services. |
topic |
microclimate tree physiognomy random forest |
url |
https://www.mdpi.com/1999-4907/11/10/1064 |
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