Evidence map›Paper›PMID 32732979›Full record

ArticleScientific reports2020

Distribution patterns, carbon sources and niche partitioning in cave shrimps (Atyidae: Typhlatya).

E M Chávez-Solís, C Solís, N Simões, M Mascaró

Abstract read
In one paragraph

Article in Scientific reports, 2020. 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. Article
  5. Self-consistent dispersal puts tight constraints on the spatiotemporal organization of species-rich metacommunities.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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  7. Review
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

4 authors.

E M Chávez-SolísPosgrado en Ciencias Biológicas, Unidad de Posgrado, Edificio A, 1er piso, Circuito de Posgrados, Ciudad Universitaria, Coyoacán, C.P. 04510, Ciudad de México, Mexico.
C SolísLaboratorio Nacional de Espectrometría de Masas con Aceleradores (LEMA), Instituto de Física, Circuito de la Investigación Científica, Universidad Nacional Autónoma de México, Ciudad Universitaria, C.P. 04510, Ciudad de México, México.
N SimõesUnidad Multidisciplinaria de Docencia e Investigación, Facultad de Ciencias, Universidad Nacional Autónoma de México, Puerto de Abrigo S/N, C.P. 97355, Sisal, Yucatán, Mexico.
M MascaróUnidad Multidisciplinaria de Docencia e Investigación, Facultad de Ciencias, Universidad Nacional Autónoma de México, Puerto de Abrigo S/N, C.P. 97355, Sisal, Yucatán, Mexico. mmm@ciencias.unam.mx.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cave shrimps of the Typhlatya genus are common and widespread in fresh, brackish and marine groundwater throughout the Yucatan Peninsula (Mexico). These species are ideal models to test niche partitioning within sympatric species in oligotrophic systems. Nevertheless, their food sources remain unidentified, and despite their frequency and functional importance, distribution and abundance patterns of these species within caves have not been fully recognized. Here, we describe the abundance of three Typhlatya species in different temporal and spatial scales, investigate changes in water conditions, and potential sources of carbon as an indication of food origin. Species composition and abundance varied markedly in space and time revealing patterns that differed from one system to another and in relation to environmental parameters. Isotope analysis showed that each species reflects a particular δ

Indexed as

EcosystemAnimal Nutritional Physiological PhenomenaAnimalsCarbonDecapodaFood ChainGroundwaterMexicoSeawaterSympatryCarbon

Identifiers

PMID32732979
PMCPMC7393362

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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.