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Assessing the air pollution tolerance index (APTI) of trees in residential and roadside sites of Lahore, Pakistan

Authors :
Adnan Zahid
Sajid Ali
Waheed Anwar
Ammara Fatima
Muhammad Bilal Chattha
Asma Ayub
Ahmad Raza
Kashif Ali
Maroof Siddique
Source :
SN Applied Sciences, Vol 5, Iss 11, Pp 1-11 (2023)
Publication Year :
2023
Publisher :
Springer, 2023.

Abstract

Abstract Industrialization and extensive use of automobiles cause air pollution which indicates the inability of trees plants due to changes in their biochemical and physiological processes for absorbing the air pollutants. Air Pollution Tolerance Index (APTI) is an important indicator for determining the ability of trees plants for their efficient ability for controlling air pollution. To estimate it and its effects a comparitive study of the air pollution tolerance index was examined in 14 species of plants between residential areas (University of the Punjab) and roadside areas (orange train line). To calculate the APTI value, four physiological and biochemical parameters—ascorbic acid, relative water content (RWC), pH, and chlorophyll concentration of leaf samples—were integrated. Present study results reveal that the plant tolerance against pollution is site specific, and that integrating a number of biochemical parameters give more accurate results as compared to single. Results show that Alstonia scholaris show maximum and Magnifera indica show minimum APTI values in residential areas while Magnifera indica shows maximum and Bougainvillea glabra shows minimum APTI value in roadside areas. Present study results show that plants with higher APTI values are tolerant of pollution, whereas those with lower APTI values are susceptible to it. Thus Plants with more APTI values are tolerant and use as a sink to control pollution in urban and industrial sites.

Details

Language :
English
ISSN :
25233963 and 25233971
Volume :
5
Issue :
11
Database :
Directory of Open Access Journals
Journal :
SN Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.06cabfd9b3d4e7e810a63f4e50a9e33
Document Type :
article
Full Text :
https://doi.org/10.1007/s42452-023-05470-0