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Título: | Biological attributes of rehabilitated soils contaminated with heavy metals |
Palavras-chave: | Soil pollution Heavy metals Phytoremediation Microbial biomass Microbial enzymes Solos – Poluição Metais pesados Fitorremediação Biomassa microbiana Enzimas microbianas |
Data do documento: | Abr-2016 |
Editor: | Springer |
Citação: | SANTOS, J. V. dos et al. Biological attributes of rehabilitated soils contaminated with heavy metals. Environmental Science and Pollution Research, [S. l.], v. 23, n. 7, p. 6735-6748, Apr. 2016. |
Resumo: | This study aimed to evaluate the effects of two rehabilitation systems in sites contaminated by Zn, Cu, Pb, and Cd on biological soil attributes [microbial biomass carbon (Cmic), basal and induced respiration, enzymatic activities, microorganism plate count, and bacterial and fungal community diversity and structure by denaturing gradient gel electrophoresis (DGGE)]. These systems (S1 and S2) consisted of excavation (trenching) and replacement of contaminated soil by uncontaminated soil in rows with Eucalyptus camaldulensis planting (S1-R and S2-R), free of understory vegetation (S1-BR), or completely covered by Brachiaria decumbens (S2-BR) in between rows. A contaminated, non-rehabilitated (NR) site and two contamination-free sites [Cerrado (C) and pasture (P)] were used as controls. Cmic, densities of bacteria and actinobacteria, and enzymatic activities (β-glucosidase, acid phosphatase, and urease) were significantly higher in the rehabilitated sites of system 2 (S2-R and S2-BR). However, even under high heavy metal contents (S1-R), the rehabilitation with eucalyptus was also effective. DGGE analysis revealed similarity in the diversity and structure of bacteria and fungi communities between rehabilitated sites and C site (uncontaminated). Principal component analysis showed clustering of rehabilitated sites (S2-R and S2-BR) with contamination-free sites, and S1-R was intermediate between the most and least contaminated sites, demonstrating that the soil replacement and revegetation improved the biological condition of the soil. The attributes that most explained these clustering were bacterial density, acid phosphatase, β-glucosidase, fungal and actinobacterial densities, Cmic, and induced respiration. |
URI: | https://link.springer.com/article/10.1007/s11356-015-5904-6 http://repositorio.ufla.br/jspui/handle/1/28819 |
Aparece nas coleções: | DCS - Artigos publicados em periódicos |
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