Literature DB >> 32436090

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

Majed D Alotaibi1, Badr H Alharbi2, Mohammed A Al-Shamsi2, Thobayet S Alshahrani3, Ali A Al-Namazi2, Saif F Alharbi2, Fahad S Alotaibi2, Yaling Qian4.   

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.

Entities:  

Keywords:  Air pollution; Air pollution tolerance index (APTI); Anticipated performance index (API); Leaf area; Riyadh City

Year:  2020        PMID: 32436090     DOI: 10.1007/s11356-020-09226-w

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  2 in total

1.  Usefulness of Tree Species as Urban Health Indicators.

Authors:  Edina Simon; Vanda Éva Molnár; Domonkos Lajtos; Dina Bibi; Béla Tóthmérész; Szilárd Szabó
Journal:  Plants (Basel)       Date:  2021-12-17

2.  Detection of urban trees sensitivity to air pollution using physiological and biochemical leaf traits in Tehran, Iran.

Authors:  Hamed Dadkhah-Aghdash; Milad Rasouli; Kabir Rasouli; Azam Salimi
Journal:  Sci Rep       Date:  2022-09-13       Impact factor: 4.996

  2 in total

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