Assessment of Tolerance of Some Tree Species to Air Contamination Using Air Pollution Tolerance and Anticipated Performance Indices in Isfahan City, Iran
Abstract:Background: In the present study, the tolerance of plantain tree species (Platanus orientalis, Morus nigra and Ailanthus altissima) to air pollution was evaluated using Air Pollution Tolerance Index (ATPI) and Anticipated Performance Index (API) index in Isfahan city (Iran). Methods: For this purpose, three dominant trees growing at six stations in Isfahan was selected and then sampling of the tree leaves was performed, after being transferred to the laboratory, the ATPI and API index were calculated. Results:… Show more
“…Theobroma cacao and Citrus sinensis with an ascorbic acid content of 1.86 and 2.89 showed the highest pH of 5.96 and 5.72 in ILO and NIC sites, respectively. Ascorbic acid acts as strong anti-oxidant in plants by inducing their defense mechanisms in diverse environmental stressed conditions against the formation of reactive oxygen species (ROS), which is induced in plants from the absorbed pollutants [69][70][71][72][73]. Hence, a higher concentration of ascorbic acid in leaves increases their tolerance ability towards air pollution [68].…”
Screened plant species with potential for green belt development can act as eco-sustainable tools for restoring the polluted ecosystem. Eight plant species from two study locations in Ado-Odo, Ota, Ogun State, Nigeria, were examined to identify their air pollution response and performance by deploying two air pollution indices, namely air pollution tolerance index (APTI) and anticipated performance index (API). APTI results identified all screened plants as sensitive species suitable as bio-indicators of air pollution, with Ficus auriculata (2.42) common to the non-industrial location being the most sensitive. API scores categorized Ficus auriculata (56.25%) as a moderate performer, while Syzygium malaccense (75%) and Mangifera indica (75%) were identified as very good performers, suitable for green belt development. The relationship between each biochemical parameter with APTI was investigated using regression analysis and two-way analysis of variance. The model result showed a significant relationship between each biochemical parameter with APTI, and relative water content had the highest influence on APTI (R2 = 0.99436). Both indices (APTI and API) are suitable for screening and recommending native plant species for cultivation in the polluted environment, thus promoting ecological restoration. Hence, Syzygium malaccense, Mangifera indica and Ficus auriculata, respectively, were recommended for green belts design. Further intensive screening to identify tolerant species and best to excellent performer’s trees suitable for restoring the ecosystem is advised.
“…Theobroma cacao and Citrus sinensis with an ascorbic acid content of 1.86 and 2.89 showed the highest pH of 5.96 and 5.72 in ILO and NIC sites, respectively. Ascorbic acid acts as strong anti-oxidant in plants by inducing their defense mechanisms in diverse environmental stressed conditions against the formation of reactive oxygen species (ROS), which is induced in plants from the absorbed pollutants [69][70][71][72][73]. Hence, a higher concentration of ascorbic acid in leaves increases their tolerance ability towards air pollution [68].…”
Screened plant species with potential for green belt development can act as eco-sustainable tools for restoring the polluted ecosystem. Eight plant species from two study locations in Ado-Odo, Ota, Ogun State, Nigeria, were examined to identify their air pollution response and performance by deploying two air pollution indices, namely air pollution tolerance index (APTI) and anticipated performance index (API). APTI results identified all screened plants as sensitive species suitable as bio-indicators of air pollution, with Ficus auriculata (2.42) common to the non-industrial location being the most sensitive. API scores categorized Ficus auriculata (56.25%) as a moderate performer, while Syzygium malaccense (75%) and Mangifera indica (75%) were identified as very good performers, suitable for green belt development. The relationship between each biochemical parameter with APTI was investigated using regression analysis and two-way analysis of variance. The model result showed a significant relationship between each biochemical parameter with APTI, and relative water content had the highest influence on APTI (R2 = 0.99436). Both indices (APTI and API) are suitable for screening and recommending native plant species for cultivation in the polluted environment, thus promoting ecological restoration. Hence, Syzygium malaccense, Mangifera indica and Ficus auriculata, respectively, were recommended for green belts design. Further intensive screening to identify tolerant species and best to excellent performer’s trees suitable for restoring the ecosystem is advised.
“…Communicated the issue has multiplied over the last few decades, endangering both people and the ecosystem severely. Other human activities have exacerbated pollution and its detrimental effects on people and the environment, including open dumping of industrial and hospital waste and the burning of firewood, which is particularly problematic due to incomplete combustion (Hatamimanesh et al, 2021). Morphological, biochemical, and physiological characteristics (Yadav & Pandey, 2020).…”
One of the world's most serious issues today is air pollution caused by vehicle emissions, which poses a serious threat to both the environment and the health of living things (plants, humans, animals, microorganisms). The most severely impacted plants arVe those growing along side roadsides because they are the ones most frequently exposed to various air pollutants and exhibit a range of tolerance and sensitivity. In light of this, the current study's foundation was an evaluation of seasonal variation in the air pollution tolerance index (APTI). One of the most important sources of air pollution is vehicle emissions. The 11th most highly populated city in India is Kanpur. The parameter used to evaluate the sensitivity and tolerance level of plants based on Air Pollution Tolerance Index (APTI). This study aims to calculate the resistance and sensitivity of various plant species to air pollution. In the majority of developing countries, one of the causes of air pollution is vehicular emissions. Planting along the side of the road is a significant method of reducing the pollution that cars emit. The plants' APTI value is calculated using the pH, relative water content (RWC), total chlorophyll (Tch), and ascorbic acid (Asc) content of the leaves. The leaves of plants were collected from industrial zones Northen railway colony.Based on APTI values, In the industrial area, the most tolerant plant Ficus benghalensis (38.40) and Azadirachta indica (31.16), while lowest APTI value plants species Alstonia scholoaris( 9.5) and Adina cordifolia (11.6.0) in the industrial zone.
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