Evidence map›Paper›PMID 42091588›Full record

ArticleNature communications2026

Trees halve urban heat island effect globally but unequal benefits only modestly mitigate climate-change warming.

Robert I McDonald, T C Chakraborty, Theodore A Endreny, Luke A Parsons, Mariami Marsagishvili, Manuel Esperon-Rodriguez

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Robert I McDonaldThe Nature Conservancy in Europe, Berlin, Germany. rob_mcdonald@tnc.org.ORCID 0000-0002-7273-6549
T C ChakrabortyAtmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory (PNNL), Richland, WA, USA. tirthankar.chakraborty@pnnl.gov.ORCID 0000-0003-1338-3525
Theodore A EndrenyDepartment of Environmental Resources Engineering, SUNY College of Environmental Science and Forestry (ESF), Syracuse, NY, USA.ORCID 0000-0002-1891-261X
Luke A ParsonsGlobal Science, The Nature Conservancy, Salt Lake City, UT, USA.ORCID 0000-0003-3147-0593
Mariami MarsagishviliThe Nature Conservancy in Europe, Berlin, Germany.ORCID 0009-0001-2255-9388
Manuel Esperon-RodriguezHawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia.ORCID 0000-0003-3649-2134

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although tree cover reduces the urban heat island, no global estimate quantifies air temperature reductions by contemporary or future tree cover, currently and with climate change. Here, we estimate these reductions for all 8,919 large urban areas. Current urban tree cover mitigates 41-49% of the maximum potential air-temperature urban heat island that would occur in the absence of tree canopy. Tree canopy reduces summer air temperature by a population-weighted mean of 0.15 ± 0.03 °C, with wide variation (0.0-2.7 °C), benefiting 914 (805-1040, 95% CI) million people by >0.25 °C. Cooling benefits are greater in already cooler areas: high-income countries and suburbs. Current and plausible future tree cover mitigate only ~10% (6.7-18% and 6.3-17%, respectively) of the median mid-century climate-change warming under a moderate emission scenario. Our results suggest tree canopy expansion in densely settled low-income urban areas is necessary for equitable urban heat island mitigation and climate adaptation.

Indexed as

Climate ChangeGlobal WarmingTreesCitiesHot TemperatureHumansSeasons

Identifiers

PMID42091588
PMCPMC13149526

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.