Evidence map›Paper›PMID 39198683›Full record

ArticleScientific reports2024

Environmental impact assessment based on particulate matter, and chlorophyll content of urban trees.

Vanda Éva Abriha-Molnár, Szilárd Szabó, Tibor Magura, Béla Tóthmérész, Dávid Abriha, Bianka Sipos, Edina Simon

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Vanda Éva Abriha-MolnárHUN-REN-UD Anthropocene Ecology Research Group, University of Debrecen, Egyetem sq. 1, Debrecen, 4032, Hungary. molnarvandaeva@science.unideb.hu.
Szilárd SzabóDepartment of Physical Geography and Geoinformatics, Faculty of Science and Technology, University of Debrecen, Egyetem sq. 1, Debrecen, 4032, Hungary.
Tibor MaguraHUN-REN-UD Anthropocene Ecology Research Group, University of Debrecen, Egyetem sq. 1, Debrecen, 4032, Hungary.
Béla TóthmérészDepartment of Ecology, Faculty of Science and Technology, University of Debrecen, Egyetem sq. 1, Debrecen, 4032, Hungary.
Dávid AbrihaDepartment of Physical Geography and Geoinformatics, Faculty of Science and Technology, University of Debrecen, Egyetem sq. 1, Debrecen, 4032, Hungary.
Bianka SiposHUN-REN-UD Anthropocene Ecology Research Group, University of Debrecen, Egyetem sq. 1, Debrecen, 4032, Hungary.
Edina SimonHUN-REN-UD Anthropocene Ecology Research Group, University of Debrecen, Egyetem sq. 1, Debrecen, 4032, Hungary.

Funding

Nemzeti Kutatási, Fejlesztési és Innovaciós Alap NKFI K 14121Nemzeti Kutatási, Fejlesztési és Innovaciós Alap ÚNKP-22-4-II
6 · The paper itself

Abstract

The amount of dust deposited on tree leaves is a cost-effective indicator of air quality. Our aim was to explore the leaf surface deposition, and chlorophyll content of leaves along a road section that started at an intersection, and ended in a less disturbed suburban area in Debrecen, Hungary. We also assessed the impact of meteorological conditions on the amount of deposited dust. Leaf samples were collected in July, and September 2022 from Celtis occidentalis, a frequent species in green urban areas of Debrecen. We found a significant negative correlation between dust deposition, and the distance from the intersection in July. In September, dust deposition decreased considerably compared to July, due to rainfall before the second sampling. Surprisingly, we found a positive correlation between dust deposition and chlorophyll content in July. Our findings suggest that dust deposition on leaves serves as a reliable indicator of traffic intensity, because the excess dust caused by the proximity of vehicle traffic can be detected on the leaf surface. Although, rainfall can disrupt the patterns in dust deposition that have developed over an extended period through wash-off and resuspension. Hence, it is advisable to consider these effects while selecting the sampling time and evaluating the results.

Indexed as

ChlorophyllDustEnvironmental MonitoringParticulate MatterPlant LeavesTreesAir PollutantsAir PollutionCitiesHungaryAir PollutantsChlorophyllDustParticulate MatterBiomonitoringCeltis occidentalisDepositionUrban pollution

Identifiers

PMID39198683
PMCPMC11358399

What OpenQuestion holds

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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.