Evidence map›Paper›PMID 40739118›Full record

ArticleScientific reports2025

Variation of vegetation cover and the relationship with land surface temperature across Thailand (2007 to 2022).

Wissanupong Kliengchuay, Walaiporn Phonphan, Sarima Niampradit, Nuttapohn Kiangkoo, Wechapraan Srimanus, Talisa Niemmanee, Chomchanok Arunplod, Bo Wen, Yuming Guo, Vincent Herbreteau and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Wissanupong Kliengchuay *Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Environmental, Health and Social Impact Assessment Unit, Mahidol University, Bangkok, 10400, Thailand.
Walaiporn Phonphan *Faculty of Science and Technology, Suan Sunandha Rajabhat University, Bangkok, Thailand.
Sarima NiampraditDepartment of Social and Environmental Medicine, Faculty of Tropical Medicine, Environmental, Health and Social Impact Assessment Unit, Mahidol University, Bangkok, 10400, Thailand.
Nuttapohn KiangkooDepartment of Social and Environmental Medicine, Faculty of Tropical Medicine, Environmental, Health and Social Impact Assessment Unit, Mahidol University, Bangkok, 10400, Thailand.
Wechapraan SrimanusEnvironment, Health & Social Impact Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Talisa NiemmaneeFaculty of Science and Technology, Suan Sunandha Rajabhat University, Bangkok, Thailand.
Chomchanok ArunplodDepartment of Geography, Faculty of Social Sciences, Srinakharinwirot University, Bangkok, Thailand.
Bo WenClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Yuming GuoClimate, Air Quality Research Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Vincent HerbreteauESPACE-DEV, IRD, Univ Montpellier, Univ. Antilles, Univ Guyane, Univ Réunion, Institute of Technology of Cambodia, Phnom Penh, Cambodia.
Kraichat TantrakarnapaDepartment of Social and Environmental Medicine, Faculty of Tropical Medicine, Environmental, Health and Social Impact Assessment Unit, Mahidol University, Bangkok, 10400, Thailand. kraichat.tan@mahidol.ac.th.

Funding

Australian National Health and Medical Research Council GNT2000581National Research Council of Thailand N33A650979
6 · The paper itself

Abstract

Understanding vegetation-climate interactions is essential amid escalating global climate change. This study investigates spatial-temporal and seasonal variations in Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) across six regions of Thailand (2007-2022). Results reveal distinct regional and seasonal characteristics, with significant negative correlations between LST and NDVI (R = 0.61 dry; 0.39 rainy; 0.72 winter). The strongest negative correlation occurred during the rainy season in 2017, highlighting complex interannual variations. Seasonal LST fluctuations (winter-summer: 1.24, winter-rainy: -1.54, summer-rainy: -2.78, p < 0.001) and NDVI variations (winter-summer: 0.09, winter-rainy: 0.07, summer-rainy: -0.03, p < 0.001) were statistically significant. These findings emphasize monitoring LST and NDVI as vital for understanding ecological impacts of climate change and urbanization. The study specifically explores whether increased vegetation consistently is associated with lower temperatures, underscoring the importance of strategies to mitigate heat and enhance climate resilience, particularly in rapidly urbanizing regions.

Identifiers

PMID40739118
PMCPMC12311212

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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.