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Soil stressors on ecophysiology of bauxite mine impacted soil: heavy metal-acidity- organic matter nexus

Mandal, Jajati

Authors



Abstract

Soil ecophysiology is adversely affected by various environmental hazards, particularly in mining regions. While there has been substantial research on the effects of coal, mica, copper (Cu), and manganese (Mn) mining, on soil quality, the impact of bauxite mining operations on nearby soils has largely been overlooked in the literature. Therefore, this study aims to investigate how microbial activity and dynamics is influenced by soil stressors, such as acidity and heavy metals in areas adjacent to active bauxite mines. Soil samples were collected from three adjacent locations of an active bauxite mine area at distances of <100 m (S1), 100-500 m (S2) and > 500 m (S3). The samples contained chromium (Cr), copper (Cu), nickel (Ni), lead (Pb), zinc (Zn), manganese (Mn), and cadmium (Cd) as well as elevated acidity and aluminum (Al). These conditions adversely affected the soil microbial indicators, including fluorescein di acetate (FDA), microbial biomass carbon (MBC), and enzyme activity. The highest concentrations of labile metals (i.e. water-soluble and exchangeable) were found in soil mixed with mining waste (S1) whereas acidity and Al were highest in sparsely vegetated soil (S3). Total acidity (TA), total potential acidity (TPA), pH-dependent acidity (PDA), and Al were significantly positively correlated. Moreover, the significant positive correlation among organic carbon (OC), acidity, Al, and microbial properties (FDA, MBC, and microbial enzymes) suggests a potential effect of OC in mitigating acidity in S3. The ratios of microbial properties with OC depicted a significant negative correlation with acidity and Al fraction denoting acidity and Al posed a deleterious effect on soil microbial health. The similarity percentage analysis (SIMPER) identified acid phosphatase (AP) as the key enzyme accounting for ~78% of the observed differences in enzyme composition across the sites. Visual MINTEQ modeling revealed that the sites were saturated with different Al-bearing minerals. Pollution index (PI) and the geo-accumulation index (Igeo) values identified the region as heavily contaminated (PI >1). Finally, the health risk analysis revealed that Ni posed a potential carcinogenic risk for both adults and children.

Journal Article Type Article
Acceptance Date Nov 25, 2024
Deposit Date Mar 4, 2025
Print ISSN 0047-2425
Electronic ISSN 1537-2537
Publisher Crop Science Society of America
Peer Reviewed Peer Reviewed