Evidence map›Paper›PMID 42251068›Full record

ArticleScientific reports2026

Using station-pair to elucidate the cooling effect of vegetation in megacities.

Zixuan Tang, Jing Tian, Yongqiang Zhang, Junlong Zhang, Xuanze Zhang, Ning Ma

Abstract read
In one paragraph

Article in Scientific reports, 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.

Zixuan TangKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Jing TianKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. tianj.04b@igsnrr.ac.cn.
Yongqiang ZhangKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Junlong ZhangCollege of Geography and Environment, Shandong Normal University, Jinan, 250358, China.
Xuanze ZhangKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
Ning MaKey Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.

Funding

National Natural Science Foundation of China 42071327National Natural Science Foundation of China 42571339Ordos Science & Technology Plan 2022EEDSKJZDZX016State Key Program of National Natural Science of China 42330506
6 · The paper itself

Abstract

The air urban heat island (UHI) poses significant challenges to urban environments. While vegetation is a recognized mitigation strategy, the in-situ cooling effects of different vegetation types, such as forests and grasslands, across diverse climatic regions remain poorly quantified. This study addresses this gap using a station-pair regression approach to evaluate vegetation's cooling efficacy in three major Chinese cities: Beijing, Shanghai, and the Mega-city Cluster in the Pearl River Delta (MCPRD). We developed multiple linear regression models using summer data from 2016 to 2020. These models predict the air temperature difference between paired meteorological sites based on spatial differences in vegetation conditions, derived from high-resolution Sentinel-2 imagery, distance to large water body, wind speed, and elevation. The model performed well, achieving coefficient of determination of 0.71, 0.58 and 0.82 for Beijing, Shanghai and MCPRD, respectively. Crucially, our results show that compared to completely urbanized land, existing vegetation significantly lowers air temperature by 2.43 °C in Beijing, 0.58 °C in Shanghai, and 2.74 °C in the MCPRD. This research quantifies the variable cooling benefits of urban vegetation across different climate zones, providing an empirical basis for optimizing green infrastructure in urban planning to enhance thermal comfort.

Indexed as

Air temperatureSentinel-2Urban heat islandVegetation cooling effect

Identifiers

PMID42251068
PMCPMC13482814

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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.