Global risk of precipitation deficits for tree-based cooling in cities DOI Creative Commons
Christine R. Rollinson, M. Ross Alexander, Jessica B. Turner

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Июль 30, 2024

Abstract Trees are key sources of cooling in natural and urban ecosystems across the globe (1–3). Increasing tree cover is one popular nature-based approach to reducing excessive heat cities where majority world’s population lives (4–6). The effects trees arise from both shading evapotranspiration have been widely demonstrated with on-the-ground remotely sensed data (1,7,8). However, depends on water availability, which may become more scarce many regions due climate change (9). We evaluated sustainability 2,021 global by comparing summer incoming precipitation under current increased canopy conditions. Mild increases evenness can effectively reduce surface temperature without increasing deficit most cities. projected impacts expose 40% deficits given characteristics their canopies. Our results demonstrate use for mitigating will likely require adaptation strategies that increase drought tolerance forests regions.

Язык: Английский

Urban tree cover provides consistent mitigation of extreme heat in arid but not humid cities DOI Creative Commons
Peter C. Ibsen, Ben Crawford, Lucila M. Corro

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 113, С. 105677 - 105677

Опубликована: Июль 17, 2024

Urban land cover types influence the urban microclimates. However, recent work indicates magnitude of cover's microclimate is affected by aridity. Moreover, this variation in cooling and warming potentials can substantially alter exposure areas to extreme heat. Our goal understand both relative influences on local air temperature, as well how these vary during periods To do so we apply predictive machine learning models an extensive in-situ 1 m dataset across eight U.S. cities spanning a wide aridity gradient typical heat conditions. We demonstrate tree canopy buildings linearly scales with regional aridity, while turf impervious surfaces does not. These interactions lead consistently mitigate temperature increases arid cities, humid regions varied, suggesting that mitigation possible, but also aggravate or have no significant effect.

Язык: Английский

Процитировано

11
The potential of urban trees to reduce heat-related mortality in London DOI Creative Commons
Jonathon Taylor, Charles H. Simpson, Oscar Brousse

и другие.

Environmental Research Letters, Год журнала: 2024, Номер 19(5), С. 054004 - 054004

Опубликована: Апрель 4, 2024

Increasing temperatures and more frequent heatwave events pose threats to population health, particularly in urban environments due the heat island (UHI) effect. Greening, particular planting trees, is widely discussed as a means of reducing exposure associated mortality cities. This study aims use data from personal weather stations (PWS) across Greater London Authority understand how vary according tree canopy coverage estimate heat-health impacts London's trees. Data Netatmo PWS 2015-2022 were cleaned, combined with official Met Office temperatures, spatially linked built environment data. A generalized additive model was used predict daily average under different scenarios for historical projected future summers, subsequent health estimated. Results show areas higher have lower maximum daytime 0.8 °C minimum 2.0 top decile versus bottom during 2022 heatwaves. We that forest helped avoid 153 attributable deaths (including 16 excess heatwaves), representing around 16% UHI-related mortality. 10% in-line strategy would reduced by further 10%, while maximal it 55%. By 2061-2080, RCP8.5, we current can help an additional 23 heat-attributable year, increasing this 131. Substantial benefits also be seen carbon storage sequestration. support part wider public effort mitigate high temperatures.

Язык: Английский

Процитировано

8
Exploring the cooling potential of green roofs for mitigating diurnal heat island intensity by utilizing Lidar and Artificial Neural Network DOI
Abdulla ‐ Al Kafy, Kelley A. Crews Meyer, Amy E. Thompson

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 116, С. 105893 - 105893

Опубликована: Окт. 11, 2024

Язык: Английский

Процитировано

5
Optimizing Roadside Vegetation Using Deep Reinforcement Learning to Improve Thermal Environment DOI
Li Bin, Changxiu Cheng

Urban forestry & urban greening, Год журнала: 2025, Номер unknown, С. 128729 - 128729

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Seasonal variation in vegetation cooling effect and its driving factors in a subtropical megacity DOI

Jianbiao Luo,

Tao Xu,

Chunhua Yan

и другие.

Building and Environment, Год журнала: 2024, Номер unknown, С. 112065 - 112065

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

3
Fraction-dependent variations in cooling efficiency of urban trees across global cities DOI
Wenfeng Zhan, Chunli Wang, Shasha Wang

и другие.

ISPRS Journal of Photogrammetry and Remote Sensing, Год журнала: 2024, Номер 216, С. 229 - 239

Опубликована: Авг. 9, 2024

Язык: Английский

Процитировано

1
Effects of landcover fine-scale patterns on neighborhood-level winter and summer nocturnal and diurnal air temperatures DOI Creative Commons
Ignacio C. Fernández

Landscape Ecology, Год журнала: 2024, Номер 39(8)

Опубликована: Авг. 10, 2024

There is a gap of knowledge on the effects fine resolution landcover patterns distribution air temperatures within neighborhoods, as well how these may differ depending temporal (i.e., summer and winter, diurnal nocturnal), spatial (i.e. extent) scales. (1) Evaluate compositional configurational fine-scale neighborhoods. (2) Determine differences between winter seasons nocturnal periods. (3) if relate to extent used for analysis. Relationships four landscape metrics temperature contrasting neighborhoods located in Santiago. Landcover was classified six classes (built up, barren, grass, evergreen, deciduous, woody) from 1.5m satellite images acquired dataloggers Linear mixed models were testing relationships at extents. composition configuration influence but can greatly season, time day Grass evergreen trees show highest neighborhood´s among classes. reduces smaller extents increase larger Evergreen play major role during season increasing coldest all analyzed These vegetation appear be mostly associated with average largest size their respective patches. Fine-scale regulating depend extent. Researchers decision makers must aware that results obtained given scale cannot directly translated another

Язык: Английский

Процитировано

1
Global risk of precipitation deficits for tree-based cooling in cities DOI Creative Commons
Christine R. Rollinson, M. Ross Alexander, Jessica B. Turner

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Июль 30, 2024

Abstract Trees are key sources of cooling in natural and urban ecosystems across the globe (1–3). Increasing tree cover is one popular nature-based approach to reducing excessive heat cities where majority world’s population lives (4–6). The effects trees arise from both shading evapotranspiration have been widely demonstrated with on-the-ground remotely sensed data (1,7,8). However, depends on water availability, which may become more scarce many regions due climate change (9). We evaluated sustainability 2,021 global by comparing summer incoming precipitation under current increased canopy conditions. Mild increases evenness can effectively reduce surface temperature without increasing deficit most cities. projected impacts expose 40% deficits given characteristics their canopies. Our results demonstrate use for mitigating will likely require adaptation strategies that increase drought tolerance forests regions.

Язык: Английский

Процитировано

0