Evidence map›Paper›PMID 26853704›Full record

ArticleMicrobial biotechnology2016

Towards the development of multifunctional molecular indicators combining soil biogeochemical and microbiological variables to predict the ecological integrity of silvicultural practices.

Vincent Peck, Liliana Quiza, Jean-Philippe Buffet, Mondher Khdhiri, Audrey-Anne Durand, Alain Paquette, Nelson Thiffault, Christian Messier, Nadyre Beaulieu, Claude Guertin and 1 more

Abstract read
In one paragraph

Article in Microbial biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

11 authors.

Vincent PeckINRS-Institut Armand-Frappier, 531 boulevard des Prairies, Laval, Québec, Canada, H7V 1B7.
Liliana QuizaINRS-Institut Armand-Frappier, 531 boulevard des Prairies, Laval, Québec, Canada, H7V 1B7.
Jean-Philippe BuffetINRS-Institut Armand-Frappier, 531 boulevard des Prairies, Laval, Québec, Canada, H7V 1B7.
Mondher KhdhiriINRS-Institut Armand-Frappier, 531 boulevard des Prairies, Laval, Québec, Canada, H7V 1B7.
Audrey-Anne DurandINRS-Institut Armand-Frappier, 531 boulevard des Prairies, Laval, Québec, Canada, H7V 1B7.
Alain PaquetteCentre d'étude de la forêt, Université du Québec à Montréal, Case postale 8888, succursale Centre-ville, Montréal, Québec, Canada, H3C 3P8.
Nelson ThiffaultCentre d'étude de la forêt, Université du Québec à Montréal, Case postale 8888, succursale Centre-ville, Montréal, Québec, Canada, H3C 3P8.
Christian MessierCentre d'étude de la forêt, Université du Québec à Montréal, Case postale 8888, succursale Centre-ville, Montréal, Québec, Canada, H3C 3P8.
Nadyre BeaulieuProduits Forestiers Résolu, 2419 Route 155 sud, La Tuque, Québec, Canada, G9X 3N8.
Claude GuertinINRS-Institut Armand-Frappier, 531 boulevard des Prairies, Laval, Québec, Canada, H7V 1B7.
Philippe ConstantINRS-Institut Armand-Frappier, 531 boulevard des Prairies, Laval, Québec, Canada, H7V 1B7.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of mechanical site preparation (MSP) on soil biogeochemical structure in young larch plantations was investigated. Soil samples were collected in replicated plots comprising simple trenching, double trenching, mounding and inverting site preparation. Unlogged natural mixed forest areas were used as a reference. Analysis of soil nutrients, abundance of bacteria and gas exchanges unveiled no significant difference among the plots. However, inverting site preparation resulted in higher variations of gas exchanges when compared with trenching, mounding and unlogged natural forest. A combination of the biological and physicochemical variables was used to define a multifunctional classification of the soil samples into four distinct groups categorized as a function of their deviation from baseline ecological conditions. According to this classification model, simple trenching was the approach that represented the lowest ecological risk potential at the microsite level. No relationship was observed between MSP method and soil bacterial community structure as assessed by high-throughput sequencing of bacterial 16S rRNA gene; however, indicator genotypes were identified for each multifunctional soil class. This is the first identification of multifunctional molecular indicators for baseline and disturbed ecological conditions in soil, demonstrating the potential of applied microbial ecology to guide silvicultural practices and ecological risk assessment.

Indexed as

BiotaChemical PhenomenaSoil MicrobiologyBacteriaDNA, RibosomalHigh-Throughput Nucleotide SequencingRNA, Ribosomal, 16SSequence Analysis, DNASoilDNA, RibosomalRNA, Ribosomal, 16SSoil

Identifiers

PMID26853704
PMCPMC4835570

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.