Evidence map›Paper›PMID 32436090›Full record

ArticleEnvironmental science and pollution research international2020

Assessing the response of five tree species to air pollution in Riyadh City, Saudi Arabia, for potential green belt application.

Majed D Alotaibi, Badr H Alharbi, Mohammed A Al-Shamsi, Thobayet S Alshahrani, Ali A Al-Namazi, Saif F Alharbi, Fahad S Alotaibi, Yaling Qian

Abstract read
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Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

8 authors.

Majed D AlotaibiLife Science and Environmental Research Institute, King Abdulaziz City for Science and Technology, P.O. Box: 6086, Riyadh, 11442, Saudi Arabia. mdfalotaibi@gmail.com.ORCID http://orcid.org/0000-0002-5652-7907
Badr H AlharbiLife Science and Environmental Research Institute, King Abdulaziz City for Science and Technology, P.O. Box: 6086, Riyadh, 11442, Saudi Arabia.
Mohammed A Al-ShamsiLife Science and Environmental Research Institute, King Abdulaziz City for Science and Technology, P.O. Box: 6086, Riyadh, 11442, Saudi Arabia.
Thobayet S AlshahraniPlant Production Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2460, Riyadh, 14451, Saudi Arabia.
Ali A Al-NamaziLife Science and Environmental Research Institute, King Abdulaziz City for Science and Technology, P.O. Box: 6086, Riyadh, 11442, Saudi Arabia.
Saif F AlharbiLife Science and Environmental Research Institute, King Abdulaziz City for Science and Technology, P.O. Box: 6086, Riyadh, 11442, Saudi Arabia.
Fahad S AlotaibiLife Science and Environmental Research Institute, King Abdulaziz City for Science and Technology, P.O. Box: 6086, Riyadh, 11442, Saudi Arabia.
Yaling QianDepartment of Horticulture and Landscape Architecture, Colorado State Univ., Fort Collins, CO, 80523, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tree species (including Eucalyptus camaldulensis, Ziziphus spina-christi, Albizia lebbeck, Prosopis juliflora, Pithecellobium dulce, and Ficus altissima) were investigated to elucidate their appropriates for green belt application. Leaf samples were collected from four different locations in Riyadh: (1) residential; (2) dense traffic; (3) industrial; and (4) reference sites located approximately 20 km away from the city of Riyadh. Leaves collected from the industrial site showed the highest leaf area reduction. The smallest reduction of leaf areas was observed for F. altissima (11.6%), while the highest reduction was observed for P. juliflora (34.8%). Variations in the air pollution tolerance index (APTI) coupled with the anticipated performance index (API) for each species were examined. The APTI value of Z. spina-christi was highest (58.5) at the industrial site while the lowest APTI value was for P. juliflora (14) at the reference site. Correlation coefficient and linear regression analyses determined that the correlation between the ascorbic acid content and APTI is positive and significantly strong. Our findings indicate that urban green planning in Riyadh should include growing F. altissima on roadsides as well as in heavy industrial locations followed by Z. spina-christi and A. lebbeck according to their API and APTI performances.

Indexed as

Air PollutantsAir PollutionCitiesEnvironmental MonitoringPlant LeavesSaudi ArabiaTreesAir PollutantsAir pollutionAir pollution tolerance index (APTI)Anticipated performance index (API)Leaf areaRiyadh City

Identifiers

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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.