Evidence map›Paper›PMID 25213653›Full record

ArticleMicrobial ecology2015

The role of microorganisms in a planktonic food web of a floodplain lake.

Bianca Trevizan Segovia, Danielle Goeldner Pereira, Luis Mauricio Bini, Bianca Ramos de Meira, Verônica Sayuri Nishida, Fabio Amodêo Lansac-Tôha, Luiz Felipe Machado Velho

Abstract read
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In one paragraph

Article in Microbial ecology, 2015. 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
–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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. On the move: sloths and their epibionts as model mobile ecosystems.Biological reviews of the Cambridge Philosophical Society · 2021
    Review
  5. Article
  6. Article
  7. 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

7 authors.

Bianca Trevizan SegoviaUniversidade Estadual de Maringá, Nupelia, Av. Colombo, 5790-Bloco G90, CEP 87020-900, Maringá, PR, Brazil, biatsegovia@gmail.com.
Danielle Goeldner Pereira
Luis Mauricio Bini
Bianca Ramos de Meira
Verônica Sayuri Nishida
Fabio Amodêo Lansac-Tôha
Luiz Felipe Machado Velho

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food webs include complex ecological interactions that define the flow of matter and energy, and are fundamental in understanding the functioning of an ecosystem. Temporal variations in the densities of communities belonging to the planktonic food web (i.e., microbial: bacteria, flagellate, and ciliate; and grazing: zooplankton and phytoplankton) were investigated, aiming to clarify the interactions between these organisms and the dynamics of the planktonic food web in a floodplain lake. We hypothesized that hydrological pulse determines the path of matter and energy flow through the planktonic food web of this floodplain lake. Data were collected monthly from March 2007 to February 2008 at three different sites in Guaraná Lake (Mato Grosso do Sul State, Brazil). The path analysis provided evidence that the dynamics of the planktonic food web was strongly influenced by the hydrological pulse. The high-water period favored interactions among the organisms of the microbial loop, rather than their relationships with zooplankton and phytoplankton. Therefore, in this period, the strong interaction among the organisms of the grazing food chain suggests that the microbial loop functions as a sink of matter and energy. In turn, in the low-water period, higher primary productivity appeared to favor different interactions between the components of the grazing food chain and microorganisms, which would function as a link to the higher trophic levels.

Indexed as

Food ChainAnimalsBiomassBrazilEcosystemGeologic SedimentsLakesPhytoplanktonZooplankton

Identifiers

What OpenQuestion holds

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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.