The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.
Cooling efficacy of trees across cities is determined by background climate, urban morphology, and tree trait
Open accessAbstract
Urban planners and other stakeholders often view trees as the ultimate panacea for mitigating urban heat stress; however, their cooling efficacy varies globally and is influenced by three primary factors: tree traits, urban morphology, and climate conditions. This study analyzes 182 studies on the cooling effects of urban trees across 17 climates in 110 global cities or regions. Tree implementation reduces peak monthly temperatures to below 26 °C in 83% of the cities. Trees can lower pedestrian-level temperatures by up to 12 °C through large radiation blockage and transpiration. In tropical, temperate, and continental climates, a mixed-use of deciduous and evergreen trees in open urban morphology provides approximately 0.5 °C more cooling than a single species approach. In arid climates, evergreen species predominate and demonstrate more effective cooling within compact urban morphology. Our study offers context-specific greening guidelines for urban planners to harness tree cooling in the face of global warming.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & the PRISMA Group* (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00135 · Cited by 37,554
Local Climate Zones for Urban Temperature Studies
Stewart, I. D., & Oke, T. R. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00019.1 · Cited by 4,419
Urban greening to cool towns and cities: A systematic review of the empirical evidence
Bowler, D. E., Buyung-Ali, L., Knight, T. M., & Pullin, A. S. (2010) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2010.05.006 · Cited by 3,099
City size and the urban heat island
Oke, T. R. (1973) · Atmospheric Environment (1967) · doi:10.1016/0004-6981(73)90140-6 · Cited by 2,535
Human contribution to the European heatwave of 2003
Stott, P. A., Stone, D. A., & Allen, M. R. (2004) · Nature · doi:10.1038/nature03089 · Cited by 1,735
Oke, T. R., Mills, G., Christen, A., & Voogt, J. A. (2017) · Cambridge University Press eBooks · doi:10.1017/9781139016476 · Cited by 1,516
UTCI—Why another thermal index?
Jendritzky, G., de Dear, R., & Havenith, G. (2012) · International Journal of Biometeorology · doi:10.1007/s00484-011-0513-7 · Cited by 1,162
50 years of Computational Wind Engineering: Past, present and future
Blocken, B. (2014) · Journal of Wind Engineering and Industrial Aerodynamics · doi:10.1016/j.jweia.2014.03.008 · Cited by 825
Klein, T. (2014) · Functional Ecology · doi:10.1111/1365-2435.12289 · Cited by 814
Greenery as a mitigation and adaptation strategy to urban heat
Wong, N. H., Tan, C. L., Kolokotsa, D. D., & Takebayashi, H. (2021) · Nature Reviews Earth & Environment · doi:10.1038/s43017-020-00129-5 · Cited by 784
Metadata
- Authors
- Li, H., Zhao, Y., Wang, C., Ürge-Vorsatz, D., Carmeliet, J., & Bardhan, R.
- Venue
- Communications Earth & Environment
- Published
- 2024-12-10
- Volume
- 5
- Issue
- 1
- ISSN
- 2662-4435 (ISSN-L)
- OpenAlex
- W4405248627
- Cited by
- 257
- References
- 121
- FWCI
- 30.29
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cooling efficacy of trees across cities is determined by background climate, urban morphology, and tree trait. https://app.cochat.ai/papers/10.1038/s43247-024-01908-4
- The paper
- Li, H., Zhao, Y., Wang, C., Ürge-Vorsatz, D., Carmeliet, J., & Bardhan, R. (2024). Cooling efficacy of trees across cities is determined by background climate, urban morphology, and tree trait. Communications Earth & Environment. https://doi.org/10.1038/s43247-024-01908-4
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.