Evidence map›Paper›PMID 38638834›Full record

ArticlePNAS nexus2024

Thermal, water, and land cover factors led to contrasting urban and rural vegetation resilience to extreme hot months.

Yaoping Wang, Jiafu Mao, Christa M Brelsford, Daniel M Ricciuto, Fengming Yuan, Xiaoying Shi, Deeksha Rastogi, Melanie M Mayes, Shih-Chieh Kao, Jeffrey M Warren and 6 more

Abstract read
In one paragraph

Article in PNAS nexus, 2024. 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

16 authors.

Yaoping WangEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.ORCID https://orcid.org/0000-0002-5162-1910
Jiafu MaoEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.ORCID https://orcid.org/0000-0002-2050-7373
Christa M BrelsfordGeospatial Science and Human Security Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.
Daniel M RicciutoEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.
Fengming YuanEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.
Xiaoying ShiEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.
Deeksha RastogiComputational Science and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.
Melanie M MayesEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.ORCID https://orcid.org/0000-0001-6368-9210
Shih-Chieh KaoEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.ORCID https://orcid.org/0000-0002-3207-5328
Jeffrey M WarrenEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.ORCID https://orcid.org/0000-0002-0680-4697
Natalie A GriffithsEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.ORCID https://orcid.org/0000-0003-0068-7714
Xinghua ChengDepartment of Natural Resources and the Environment, University of Connecticut, Storrs, CT 06269, USA.ORCID https://orcid.org/0000-0002-1931-6174
David J WestonBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.
Yuyu ZhouDepartment of Geography, The University of Hong Kong, Hong Kong, 999077, China.ORCID https://orcid.org/0000-0003-1765-6789
Lianhong GuEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.ORCID https://orcid.org/0000-0001-5756-8738
Peter E ThorntonEnvironmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA.ORCID https://orcid.org/0000-0002-4759-5158

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With continuing global warming and urbanization, it is increasingly important to understand the resilience of urban vegetation to extreme high temperatures, but few studies have examined urban vegetation at large scale or both concurrent and delayed responses. In this study, we performed an urban-rural comparison using the Enhanced Vegetation Index and months that exceed the historical 90th percentile in mean temperature (referred to as "hot months") across 85 major cities in the contiguous United States. We found that hot months initially enhanced vegetation greenness but could cause a decline afterwards, especially for persistent (≥4 months) and intense (≥+2 °C) episodes in summer. The urban responses were more positive than rural in the western United States or in winter, but more negative during spring-autumn in the eastern United States. The east-west difference can be attributed to the higher optimal growth temperatures and lower water stress levels of the western urban vegetation than the rural. The urban responses also had smaller magnitudes than the rural responses, especially in deciduous forest biomes, and least in evergreen forest biomes. Within each biome, analysis at 1 km pixel level showed that impervious fraction and vegetation cover, local urban heat island intensity, and water stress were the key drivers of urban-rural differences. These findings advance our understanding of how prolonged exposure to warm extremes, particularly within urban environments, affects vegetation greenness and vitality. Urban planners and ecosystem managers should prioritize the long and intense events and the key drivers in fostering urban vegetation resilience to heat waves.

Identifiers

PMID38638834
PMCPMC11026108

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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.