Evidence map›Paper›PMID 37589039›Full record

ArticleEcology and evolution2023

Response and resilience of karst subterranean estuary communities to precipitation impacts.

Fernando Calderón Gutiérrez, Thomas M Iliffe, Elizabeth Borda, Germán Yáñez Mendoza, Jessica Labonté

Abstract read
In one paragraph

Article in Ecology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Cryptic diversity patterns of subterranean estuaries.Proceedings. Biological sciences · 2024
    Article
  5. Article
  6. 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

5 authors.

Fernando Calderón GutiérrezDepartment of Marine Biology Texas A&M University at Galveston Galveston Texas USA.ORCID https://orcid.org/0000-0002-3181-4280
Thomas M IliffeGalveston Texas USA.ORCID https://orcid.org/0000-0002-4342-5960
Elizabeth BordaDepartment of Natural Sciences Texas A&M University San Antonio San Antonio Texas USA.ORCID https://orcid.org/0000-0003-1179-163X
Germán Yáñez MendozaCirculo Espeleológico del Mayab A.C. Cozumel Mexico.
Jessica LabontéDepartment of Marine Biology Texas A&M University at Galveston Galveston Texas USA.ORCID https://orcid.org/0000-0003-0236-7634

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of meteorological phenomena on ecosystem communities of karst subterranean estuaries (KSEs) remains unknown. KSEs are characterized by vertically stratified groundwater separated by a halocline and host endemic aquatic cave-adapted fauna (stygobionts). In October 2015, 8 days of heavy precipitation caused the first recorded mortality event in the KSE. This event was marked by a halocline shift 5 m deeper. The present study aimed to provide insights into resilience of KSEs faunal communities to temporal shifts in temperature and precipitation. Cave water temperature decreased on average 0.0068°C per mm of accumulated precipitation over 4 days, which can add up to, and surpass, the interannual temperature variation in cases of heavy precipitations. Biological surveys (2012-2021) conducted within cave systems El Aerolito and La Quebrada, in Cozumel, indicated that change in community structure was not detected and stygobionts were resilient; however, marine species inhabiting the caves were impacted. Overall, the faunal community at KSEs remains resilient within short-term meteorological phenomena despite shifts of non-stygobionts.

Indexed as

anchialinecavecommunity structureprecipitation impactsstygobionttemperature shift

Identifiers

PMID37589039
PMCPMC10425610

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Registered trials

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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.