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Evaluation of enzyme activities in long-term polluted soils with mine tailing deposits of San Luis Potosí, México

Martínez Toledo, Ángeles [autora] | Montes Rocha, Ángel [autor] | González Mille, Donaji Josefina [autora] | Espinosa Reyes, Guillermo [autor] | Torres Dosal, Arturo [autor] | Mejia Saavedra, Jesús J [autor] | Ilizaliturri Hernández, César Arturo [autor].
Tipo de material: Artículo en línea Artículo en línea Tipo de contenido: Texto Tipo de medio: Computadora Tipo de portador: Recurso en líneaTema(s): Metales pesados | Contaminación de suelos | Enzimas del suelo | Riesgo a la salud | Evaluación de riesgos ecológicos | MinasTema(s) en inglés: Heavy metals | Soil pollution | Soil enzyme | Health hazards | Ecological risk assessment | MinesDescriptor(es) geográficos: Cedral (San Luis Potosí, México) | Charcas (San Luis Potosí, México) | Villa de la Paz (San Luis Potosí, México) | Cerro de San Pedro (San Luis Potosí, México) Nota de acceso: Disponible para usuarios de ECOSUR con su clave de acceso En: Journal of Soils and Sediments. Volumen 17, número 2 (February 2017), páginas 364-375. --ISSN: 1439-0108Número de sistema: 58035Resumen:
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Purpose: San Luis Potosí is one of the largest metal producers; mining activity has been responsible for metal emissions for over 100 years, from several sources (deposits, tailings, effluents, and dusts) generating effects in human and ecosystem health. The objective of this study was to evaluate the effect of the concentrations of heavy metals in the soil health of four municipalities of San Luis Potosí contaminated with mine tailings, using enzyme activity as a biochemical endpoint. Materials and methods: Four municipalities contaminated with residues of historical mining activity were analyzed (25 topsoil samples per type of site contaminated and reference). The parameters that were analyzed included pH; organic matter (OM); electrical conductivity (EC); percentage of clay, As, Cd, Cr, Cu, Hg, Pb, and Zn; and arylsulfatase (ARS), β-glucosidase (BG), urease (UR), and fluorescein diacetate hydrolysis (FDA) activities in soil. Differences among the parameters per municipality and type of site were evaluated using a factorial analysis of variance. The relationships were analyzed by Pearson’s correlation and a stepwise distance-based linear model permutation test (DistLM). Results were visualized using a distance-based redundancy analysis (dbRDA). A hazard quotient (HQ) for metals was calculated in order to estimate the effects on soil microbial processes. Results and discusión: A concentration gradient (mg/kg) of Zn (4744.5–65,585.7), Pb (1321.0–31,932.2), As (ND-8736.7), and Cu (130.9–8475.4) was found in the contaminated sites. The HQ showed a very high hazard level for the elements detected in all contaminated sites (1.4–655.8). The pattern of enzymatic inhibition found was ARS (95.8 %), UR (90.6 %), FDA (86.9 %), and BG (76.0 %). Strong negative relationships were observed among enzymatic activities and heavy metals in the following inhibitory effect Cu > As > Zn > Pb. Metals and covariables explained from 84 to 86 % of variability in enzyme activity. EC, Cu, and As showed a strong inhibitory effect; and parameters such as OM, pH, and clay were found to have a slightly inducing effect. Conclusions: In this study, the heavy metal concentrations were higher than the ones obtained in other reports for this region. The HQ reveals the presence of possible risks for the health of life in the region. The decrease of enzyme activities in soil could trigger adverse changes in the flow of matter and energy in ecosystems. This study provides a field baseline that could be part of a long-term monitoring program for these locations.

Recurso en línea: https://link.springer.com/article/10.1007/s11368-016-1529-8
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Disponible para usuarios de ECOSUR con su clave de acceso

Purpose: San Luis Potosí is one of the largest metal producers; mining activity has been responsible for metal emissions for over 100 years, from several sources (deposits, tailings, effluents, and dusts) generating effects in human and ecosystem health. The objective of this study was to evaluate the effect of the concentrations of heavy metals in the soil health of four municipalities of San Luis Potosí contaminated with mine tailings, using enzyme activity as a biochemical endpoint. Materials and methods: Four municipalities contaminated with residues of historical mining activity were analyzed (25 topsoil samples per type of site contaminated and reference). The parameters that were analyzed included pH; organic matter (OM); electrical conductivity (EC); percentage of clay, As, Cd, Cr, Cu, Hg, Pb, and Zn; and arylsulfatase (ARS), β-glucosidase (BG), urease (UR), and fluorescein diacetate hydrolysis (FDA) activities in soil. Differences among the parameters per municipality and type of site were evaluated using a factorial analysis of variance. The relationships were analyzed by Pearson’s correlation and a stepwise distance-based linear model permutation test (DistLM). Results were visualized using a distance-based redundancy analysis (dbRDA). A hazard quotient (HQ) for metals was calculated in order to estimate the effects on soil microbial processes. Results and discusión: A concentration gradient (mg/kg) of Zn (4744.5–65,585.7), Pb (1321.0–31,932.2), As (ND-8736.7), and Cu (130.9–8475.4) was found in the contaminated sites. The HQ showed a very high hazard level for the elements detected in all contaminated sites (1.4–655.8). The pattern of enzymatic inhibition found was ARS (95.8 %), UR (90.6 %), FDA (86.9 %), and BG (76.0 %). Strong negative relationships were observed among enzymatic activities and heavy metals in the following inhibitory effect Cu > As > Zn > Pb. Metals and covariables explained from 84 to 86 % of variability in enzyme activity. EC, Cu, and As showed a strong inhibitory effect; and parameters such as OM, pH, and clay were found to have a slightly inducing effect. Conclusions: In this study, the heavy metal concentrations were higher than the ones obtained in other reports for this region. The HQ reveals the presence of possible risks for the health of life in the region. The decrease of enzyme activities in soil could trigger adverse changes in the flow of matter and energy in ecosystems. This study provides a field baseline that could be part of a long-term monitoring program for these locations. eng

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