Cooling efficacy of trees across cities is determined by background climate, urban morphology, and tree trait

特质 形态学(生物学) 树(集合论) 城市形态 地理 树木年代学 生态学 生物 数学 城市规划 计算机科学 动物 组合数学 考古 程序设计语言
作者
Haiwei Li,Yongling Zhao,Chenghao Wang,Diána Ürge-Vorsatz,Jan Carmeliet,Ronita Bardhan
标识
DOI:10.5194/egusphere-2024-234-v2
摘要

Abstract. Rapid increases in heat exposure in urban areas, fueled by both climate change and urban heat islands (UHI), are manifesting as a pressing concern. Planting and conserving urban trees is one of the pivotal strategies in mitigating outdoor heat and optimizing thermal comfort. We present an integrated review and meta-analysis of 131 studies conducted in the past 13 years, investigating the cooling effects of trees across 15 climate types in 85 global cities or regions. The cooling efficacy of trees is mainly determined by interconnecting urban morphology, tree traits, and, critically, the prevailing background climates. Our meta-analysis reveals that the cooling effects of urban trees observed in hot climates are significant due to low latitudes, along with their substantial solar radiation blockage and pronounced transpirational cooling. Moreover, an optimal level of transpirational cooling can be achieved at relatively lower humidity levels. However, in tropical and arid climates, extreme conditions involving high temperatures and vapor pressure deficits may trigger stomata closure in leaves, thereby impeding transpirational cooling. Our review further underscores the guiding principles of optimizing urban morphology by arranging buildings and trees, as well as selecting suitable tree species according to their traits to enhance the cooling effects of trees in different climates. The cooling effects of trees demonstrate a nonlinear increase in correlation with higher leaf area index (LAI), leaf area density (LAD), tree canopy coverage, and, inversely, a lower sky view factor (SVF). This systematic review and meta-analysis serve as a critical resource for researchers, urban planners, and policymakers striving to mitigate urban heat by strategically using urban trees.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
orixero应助司空元正采纳,获得10
刚刚
心系天下发布了新的文献求助10
1秒前
可爱的函函应助hui采纳,获得10
1秒前
Paisley发布了新的文献求助10
1秒前
加鲁鲁lu发布了新的文献求助10
2秒前
3秒前
3秒前
科研通AI2S应助饱满海蓝采纳,获得10
3秒前
Dmooou完成签到,获得积分10
4秒前
王祥瑞完成签到,获得积分10
4秒前
情怀应助王博龙采纳,获得10
4秒前
5秒前
西红柿发布了新的文献求助20
5秒前
5秒前
5秒前
zls完成签到,获得积分20
6秒前
桐桐应助well采纳,获得10
6秒前
英姑应助吴境采纳,获得10
6秒前
爆米花应助桃了桃了采纳,获得10
6秒前
充盈缺损完成签到,获得积分10
6秒前
吕子尚完成签到,获得积分10
7秒前
JAMA兜里揣完成签到,获得积分10
7秒前
7秒前
可爱的函函应助次次中采纳,获得10
8秒前
清欢应助lele采纳,获得10
8秒前
羊驼发布了新的文献求助10
8秒前
Zzy22发布了新的文献求助10
8秒前
量子星尘发布了新的文献求助10
9秒前
uue发布了新的文献求助10
9秒前
9秒前
anjun完成签到,获得积分10
10秒前
慕青应助文南犬采纳,获得10
10秒前
11秒前
11秒前
科研通AI6.2应助立军采纳,获得10
11秒前
净心发布了新的文献求助10
11秒前
MYW完成签到,获得积分10
13秒前
万能图书馆应助ardejiang采纳,获得10
13秒前
13秒前
夏夏发布了新的文献求助10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6064533
求助须知:如何正确求助?哪些是违规求助? 7896867
关于积分的说明 16317845
捐赠科研通 5207313
什么是DOI,文献DOI怎么找? 2785793
邀请新用户注册赠送积分活动 1768590
关于科研通互助平台的介绍 1647553