Urban trees and cooling: A review of the recent literature (2018 to 2024)
Urban trees mitigate extreme heat through shading and evapotranspiration, but cooling effectiveness varies with tree traits, spatial configurations, and climate. This systematic mapping review synthesizes findings from 115 studies (2018 to 2024) using RepOrting standards for Systematic Evidence Syntheses (ROSES) protocols. Studies were categorized based on geographic location, climate zone, and heat metric (e.g., land surface temperature or air temperature), highlighting a geographic skew toward North America and Asia and underrepresentation of arid and tropical zones. Findings show that urban trees consistently outperform other vegetation types in cooling, particularly in hotter, drier climates when water is available. Dense, tall canopies provide broad-scale cooling, while mixed plantings with shrubs or grass enhance local effects. However, conflicting conclusions arise from using land surface versus air temperature, as these metrics respond differently to tree canopy. Key knowledge gaps include the role of native versus non-native species in arid climates, the effect of urban morphology on cooling, and tree performance during extreme heat. Most studies remain small-scale and limited in generalizability, emphasizing the continued need for city-specific knowledge. This review highlights urban trees as vital for heat mitigation and the importance of harmonizing research objectives and methods to inform planning and practice effectively.
Citation Information
| Publication Year | 2025 |
|---|---|
| Title | Urban trees and cooling: A review of the recent literature (2018 to 2024) |
| DOI | 10.48044/jauf.2025.023 |
| Authors | Michael Alonzo, Peter Christian Ibsen, Dexter Locke |
| Publication Type | Article |
| Publication Subtype | Journal Article |
| Series Title | Arboriculture and Urban Forestry |
| Index ID | 70269325 |
| Record Source | USGS Publications Warehouse |
| USGS Organization | Geosciences and Environmental Change Science Center |