Biological Evaluation of Air Quality of an Urban Ecosystem through Air Pollution Tolerance and Performance Index
Abstract Purpose The rapid increase in urbanization leads to air pollution particularly in cosmopolitan city like Lahore (Pakistan) which poses a significant threat to human health. Air pollution has negative impacts on roadside vegetation and the environment. However, plants growing along roadsides...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-04-01
|
| Series: | Aerosol and Air Quality Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44408-025-00008-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850042333918134272 |
|---|---|
| author | Hafiza Komal Hanif Sohaib Muhammad Hsi-Hsien Yang Muhammad Umer Farooq Awan Shakil Ahmed Muhammad Tayyab Mahrukh Majeed Summiya Faisal Zaheer ud din Khan |
| author_facet | Hafiza Komal Hanif Sohaib Muhammad Hsi-Hsien Yang Muhammad Umer Farooq Awan Shakil Ahmed Muhammad Tayyab Mahrukh Majeed Summiya Faisal Zaheer ud din Khan |
| author_sort | Hafiza Komal Hanif |
| collection | DOAJ |
| description | Abstract Purpose The rapid increase in urbanization leads to air pollution particularly in cosmopolitan city like Lahore (Pakistan) which poses a significant threat to human health. Air pollution has negative impacts on roadside vegetation and the environment. However, plants growing along roadsides have the ability to mitigate air pollution. Methods For assessing the air quality of the urban ecosystem through road side plantation two indices Quantitative i.e. Air pollution Tolerance Index (APTI) and qualitative one i.e., Anticipated Performance Index (API) was used. Along with these Total protein content and proline amount was also assessed under high stress of particulate pollution. Results Six different plant species were selected for the study: Alstonia scholaris, Callistemon lanceolatus, Cassia fstula, Ficus religiosa, Mimusops elengi and Polyalthia longifolia. Leaves of these selected plant species were collected from five distinct sites (four experimental and one control site). Ficus religiosa was found to be the best performer, while Mimusops elengi and Callistemon lanceolatus were resulted as good performers. The highest and lowest amounts of proline content were measured for Ficus religiosa and Callistemon lanceolatus, while protein content was found reduced at highly polluted sites. Conclusions Screening of existing landscape of any cosmopolitan area with high APTI and API values will aid in green urban development by supporting conservation efforts aimed at protecting biodiversity and reducing the harmful impacts of air pollution on the environment and public health. Graphical abstract |
| format | Article |
| id | doaj-art-ddf282a67be74045bb25d8350f53a56d |
| institution | DOAJ |
| issn | 1680-8584 2071-1409 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Springer |
| record_format | Article |
| series | Aerosol and Air Quality Research |
| spelling | doaj-art-ddf282a67be74045bb25d8350f53a56d2025-08-20T02:55:35ZengSpringerAerosol and Air Quality Research1680-85842071-14092025-04-01251-411310.1007/s44408-025-00008-yBiological Evaluation of Air Quality of an Urban Ecosystem through Air Pollution Tolerance and Performance IndexHafiza Komal Hanif0Sohaib Muhammad1Hsi-Hsien Yang2Muhammad Umer Farooq Awan3Shakil Ahmed4Muhammad Tayyab5Mahrukh Majeed6Summiya Faisal7Zaheer ud din Khan8Department of Botany, Government College UniversityDepartment of Botany, Government College UniversityDepartment of Environmental Engineering and Management, Chaoyang University of TechnologyDepartment of Botany, Government College UniversityInstitute of Botany, University of the PunjabDepartment of Botany, Government College UniversityDepartment of Botany, Government College UniversityDepartment of Botany, Government College UniversityDepartment of Botany, Government College UniversityAbstract Purpose The rapid increase in urbanization leads to air pollution particularly in cosmopolitan city like Lahore (Pakistan) which poses a significant threat to human health. Air pollution has negative impacts on roadside vegetation and the environment. However, plants growing along roadsides have the ability to mitigate air pollution. Methods For assessing the air quality of the urban ecosystem through road side plantation two indices Quantitative i.e. Air pollution Tolerance Index (APTI) and qualitative one i.e., Anticipated Performance Index (API) was used. Along with these Total protein content and proline amount was also assessed under high stress of particulate pollution. Results Six different plant species were selected for the study: Alstonia scholaris, Callistemon lanceolatus, Cassia fstula, Ficus religiosa, Mimusops elengi and Polyalthia longifolia. Leaves of these selected plant species were collected from five distinct sites (four experimental and one control site). Ficus religiosa was found to be the best performer, while Mimusops elengi and Callistemon lanceolatus were resulted as good performers. The highest and lowest amounts of proline content were measured for Ficus religiosa and Callistemon lanceolatus, while protein content was found reduced at highly polluted sites. Conclusions Screening of existing landscape of any cosmopolitan area with high APTI and API values will aid in green urban development by supporting conservation efforts aimed at protecting biodiversity and reducing the harmful impacts of air pollution on the environment and public health. Graphical abstracthttps://doi.org/10.1007/s44408-025-00008-yAir pollution tolerance indexProlineRoadside vegetationTotal protein content |
| spellingShingle | Hafiza Komal Hanif Sohaib Muhammad Hsi-Hsien Yang Muhammad Umer Farooq Awan Shakil Ahmed Muhammad Tayyab Mahrukh Majeed Summiya Faisal Zaheer ud din Khan Biological Evaluation of Air Quality of an Urban Ecosystem through Air Pollution Tolerance and Performance Index Aerosol and Air Quality Research Air pollution tolerance index Proline Roadside vegetation Total protein content |
| title | Biological Evaluation of Air Quality of an Urban Ecosystem through Air Pollution Tolerance and Performance Index |
| title_full | Biological Evaluation of Air Quality of an Urban Ecosystem through Air Pollution Tolerance and Performance Index |
| title_fullStr | Biological Evaluation of Air Quality of an Urban Ecosystem through Air Pollution Tolerance and Performance Index |
| title_full_unstemmed | Biological Evaluation of Air Quality of an Urban Ecosystem through Air Pollution Tolerance and Performance Index |
| title_short | Biological Evaluation of Air Quality of an Urban Ecosystem through Air Pollution Tolerance and Performance Index |
| title_sort | biological evaluation of air quality of an urban ecosystem through air pollution tolerance and performance index |
| topic | Air pollution tolerance index Proline Roadside vegetation Total protein content |
| url | https://doi.org/10.1007/s44408-025-00008-y |
| work_keys_str_mv | AT hafizakomalhanif biologicalevaluationofairqualityofanurbanecosystemthroughairpollutiontoleranceandperformanceindex AT sohaibmuhammad biologicalevaluationofairqualityofanurbanecosystemthroughairpollutiontoleranceandperformanceindex AT hsihsienyang biologicalevaluationofairqualityofanurbanecosystemthroughairpollutiontoleranceandperformanceindex AT muhammadumerfarooqawan biologicalevaluationofairqualityofanurbanecosystemthroughairpollutiontoleranceandperformanceindex AT shakilahmed biologicalevaluationofairqualityofanurbanecosystemthroughairpollutiontoleranceandperformanceindex AT muhammadtayyab biologicalevaluationofairqualityofanurbanecosystemthroughairpollutiontoleranceandperformanceindex AT mahrukhmajeed biologicalevaluationofairqualityofanurbanecosystemthroughairpollutiontoleranceandperformanceindex AT summiyafaisal biologicalevaluationofairqualityofanurbanecosystemthroughairpollutiontoleranceandperformanceindex AT zaheeruddinkhan biologicalevaluationofairqualityofanurbanecosystemthroughairpollutiontoleranceandperformanceindex |