Evaluation of Anticipated Performance Index, biochemical, and physiological parameters of Cupressus arizonica Greene and Juniperus excelsa Bieb for greenbelt development and biomonitoring of air pollution

Abstract

Plants can be used naturally to mitigate environmental pollution, such as air pollution; however, it is important to evaluate plant susceptibility to air pollution when considering green space creation in urban areas. In this study, we investigated the biochemical and physiological parameters, including pH, and ascorbic acid, relative water, total chlorophyl, proline, soluble sugar, protein, and free amino acid contents of two gymnosperm tree species, Cupressus arizonica Greene and Juniperus excelsa Bieb. Using these data, we computed the Air Pollution Tolerance Index (APTI) and Anticipated Performance Index (API) of the trees at five sites in Isfahan, Iran, to determine their applicability for greenbelt establishment. Our results indicated that these evergreen species are good indicators of air pollution and can be used as an early warning tool for air pollution level that is harmful to human health.