Evidence map›Paper›PMID 26662102›Full record

ArticleEnvironmental science and pollution research international2016

Biological attributes of rehabilitated soils contaminated with heavy metals.

Jessé Valentim dos Santos, Maryeimy Varón-López, Cláudio Roberto Fonsêca Sousa Soares, Patrícia Lopes Leal, José Oswaldo Siqueira, Fatima Maria de Souza Moreira

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 69 citations in OpenAlex.

  1. Microbiological attributes as indicators of soil quality in coffee growing systems in Southwest Bahia, Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Microbial Features Indicating the Recovery of Soil Ecosystem Strongly Affected by Mining and Ore Processing.International journal of environmental research and public health · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Jessé Valentim dos SantosAgricultural Microbiology Postgraduate Program, Department of Biology, Federal University of Lavras, Postal Box 3037, CEP 37200-000, Lavras, MG, Brazil.
Maryeimy Varón-LópezAgricultural Microbiology Postgraduate Program, Department of Biology, Federal University of Lavras, Postal Box 3037, CEP 37200-000, Lavras, MG, Brazil.
Cláudio Roberto Fonsêca Sousa SoaresDepartment of Soil Science-Sector of Biology, Microbiology and Biological Processes Laboratory, Federal University of Lavras, Postal Box 3037, CEP 37200-000, Lavras, MG, Brazil.
Patrícia Lopes LealDepartment of Soil Science-Sector of Biology, Microbiology and Biological Processes Laboratory, Federal University of Lavras, Postal Box 3037, CEP 37200-000, Lavras, MG, Brazil.
José Oswaldo SiqueiraDepartment of Soil Science-Sector of Biology, Microbiology and Biological Processes Laboratory, Federal University of Lavras, Postal Box 3037, CEP 37200-000, Lavras, MG, Brazil.
Fatima Maria de Souza MoreiraDepartment of Soil Science-Sector of Biology, Microbiology and Biological Processes Laboratory, Federal University of Lavras, Postal Box 3037, CEP 37200-000, Lavras, MG, Brazil. fmoreira@dcs.ufla.br.
Universidade Federal de Lavras · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Soil MicrobiologyBiodegradation, EnvironmentalBiomassBrachiariaBrazilEucalyptusMetals, HeavyMicrobial ConsortiaSoilSoil PollutantsUreaseMetals, HeavySoilSoil PollutantsUreaseDenaturing gradient gel electrophoresis (DGGE)Enzymatic activitiesMicrobial biomassMicroorganism plate countPhytoremediationSoil microbial respirationTrace elements

Identifiers

PMID26662102
OpenAlexW2289965708

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.