ArticleProceedings of the National Academy of Sciences of the United States of America2025
Global urban greening and its implication for urban heat mitigation.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Urban greening strategies for mitigating heat exposure and enhancing bird diversity.Nature communications · 2026Article
- Article
- Unraveling the potential of urban greenery for extreme heat and ozone mitigation in Northern Hemisphere cities.National science review · 2026Article
- Dense canopies reverse the cooling effect of urban greening in humid cities.Nature communications · 2026Article
- Widespread land surface cooling from paddy rice cultivation revealed by global satellite mapping.Nature communications · 2025Article
- Temporal and spatial dynamics of urban heat in the City of Córdoba, Argentina.The journal of climate change and healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Urban vegetation provides essential ecosystem services and benefits to support biodiversity and human well-being in urban areas. However, the dynamic trends, driving factors, and their implications to urban heat mitigation at the global scale remain largely unclear. Here, we used a high-resolution enhanced vegetation index (EVI) dataset to examine the vegetation dynamics in 11,235 urban areas worldwide, identify the driving factors behind its changes, and estimate the potential urban heat mitigation benefits of these changes. We found that 40.75% urban areas (1.51 Mha) evidenced a greening trend (showing increasing EVI), in contrast to 49.60% urban areas showing browning (decreasing EVI). Notably, urban centers in both developed and developing countries contribute to this greening trend. We, nevertheless, found significant spatial disparities in this greening trend, with cities in the Global North showing higher greening ratios than those in the Global South. The driving factors of urban vegetation change trend lead to significant differentiation in and around urban areas. The rapid increase in urbanization intensity and the negative effects of nitrogen deposition are the dominant factors leading to vegetation browning in urban peripheries. However, nitrogen deposition and urbanization intensity have shown positive effects on vegetation greening within urban centers. Crucially, compared to areas with vegetation browning or no significant change, vegetation greening areas have a more significant cooling effect, potentially mitigating the urban heat island effect, especially during summer daytime. Our findings highlight the importance of enhancing urban vegetation greening to promote equitable urban development and ensure effective climate change mitigation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.