<p>Industrial emissions pose significant threats to environmental health. Trees serve as biomonitors, with inherent species-specific capacity. Studies on tree species’ responses across varying pollution loads remain poorly understood. This study evaluated the responses of three common tree species (<i>Mangifera indica</i>, <i>Anthocleista vogeli</i>, and <i>Delonix regia</i>) in two industrial sites (Afam and Umuebule) and a non-industrial site (Ohaji-Egbema Forest Reserve) in Southern Nigeria, using Air Pollution Tolerance Index (APTI) and Anticipated Performance Index (API). Trees with diameter at breast height (DBH) &gt; 15&#xa0;cm were systematically sampled within a 100&#xa0;m radius. Leaves were collected in triplicates for each species. Structural attributes (DBH, crown diameter, height) were measured in situ; air quality parameters (Pm, CO, NO<sub>2</sub>, SO<sub>2</sub>, O<sub>3</sub>, VOCs) were monitored diurnally for 4 months, while leaf biochemical properties (chlorophyll, relative water content, ascorbic acid, and pH) were determined in the laboratory. Results revealed elevated air pollutants concentrations at the industrial sites, particularly Umuebule. Two-way ANOVA indicated significant effects of site, time, and site × time interaction on air quality parameters and site, species, and site × species interaction effect on the biochemical parameters and APTI (<i>p</i> &lt; 0.001). Pearson correlation revealed significant association between the biochemical parameters, APTI, and air quality parameters, while structural attributes had no significant correlation with biochemical parameters except RWC. APTI and API classified <i>M. indica</i> as “excellent” species in polluted sites, <i>A. vogeli</i> as “moderate” spp. especially in drought-prone areas, and <i>D. regia</i> as “sensitive” spp. in highly polluted areas. These findings demonstrate that environmental conditions and species-specific traits determine tree responses to air pollution.</p>

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Assessment of air pollution tolerance and anticipated performance index of selected tree species around oil and gas industrial sites in Southern Nigeria

  • Rosemary Egodi Ubaekwe,
  • Bartholomew Ikechukwu Nwaire,
  • Uzoma Darlington Chima,
  • Blessing Ogechi Uluocha,
  • Thomasia Nkechi Udeagbala,
  • Angela Ngozi Okeke

摘要

Industrial emissions pose significant threats to environmental health. Trees serve as biomonitors, with inherent species-specific capacity. Studies on tree species’ responses across varying pollution loads remain poorly understood. This study evaluated the responses of three common tree species (Mangifera indica, Anthocleista vogeli, and Delonix regia) in two industrial sites (Afam and Umuebule) and a non-industrial site (Ohaji-Egbema Forest Reserve) in Southern Nigeria, using Air Pollution Tolerance Index (APTI) and Anticipated Performance Index (API). Trees with diameter at breast height (DBH) > 15 cm were systematically sampled within a 100 m radius. Leaves were collected in triplicates for each species. Structural attributes (DBH, crown diameter, height) were measured in situ; air quality parameters (Pm, CO, NO2, SO2, O3, VOCs) were monitored diurnally for 4 months, while leaf biochemical properties (chlorophyll, relative water content, ascorbic acid, and pH) were determined in the laboratory. Results revealed elevated air pollutants concentrations at the industrial sites, particularly Umuebule. Two-way ANOVA indicated significant effects of site, time, and site × time interaction on air quality parameters and site, species, and site × species interaction effect on the biochemical parameters and APTI (p < 0.001). Pearson correlation revealed significant association between the biochemical parameters, APTI, and air quality parameters, while structural attributes had no significant correlation with biochemical parameters except RWC. APTI and API classified M. indica as “excellent” species in polluted sites, A. vogeli as “moderate” spp. especially in drought-prone areas, and D. regia as “sensitive” spp. in highly polluted areas. These findings demonstrate that environmental conditions and species-specific traits determine tree responses to air pollution.