Abstract
The present study highlights the importance of integrating different research tools along with common statistical models, in selecting suitable plant species for air pollution control. Ten plant species from three study locations in Ado-Odo, Ota, Ogun State, Southwestern Nigeria, were examined to identify their air pollution response and performance using air pollution tolerance index (APTI), anticipated performance index (API), and dust capturing potentials (DCP). APTI index identified all the 10 investigated plants as sensitive species which can be used as bioindicators of air pollution. Higher dust capturing potentials (3.1–7.1 mg/cm2), was recorded by nine species thus improving the ambient air quality. API scores categorized, Tectona grandis (75%) and Mangifera indica (75%) as very good performers, Musanga cecropioides (62.5%) as a good performer, and Terminalia catappa (56.25%) as a moderate performer, suitable for green belt development. Statistical modeling information obtained from regression analysis and two-way analysis of variance indicated a significant relationship between each of the biochemical parameters and APTI with relative water content exhibiting the highest influence on APTI (R2 = 0.99436). Further screening of more plants to identify tolerant species and best to excellent performers is recommended.
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