Evidence map›Paper›PMID 41162479›Full record

ArticleScientific reports2025

Applying turbidity as a witness of the vulnerability of a ria to meteorological changes and anthropogenic interventions.

N González-Vidal, A B Monteagudo, J M Parada

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

N González-VidalCentro de Investigacións Mariñas (CIMA), Pedras de Corón S/N. Vilanova de Arousa, 36620, Pontevedra, Spain.ORCID http://orcid.org/0009-0001-4737-4566
A B MonteagudoServizo Agrario Galego (SEAGA), Santiago de Compostela, Spain.
J M ParadaCentro de Investigacións Mariñas (CIMA), Pedras de Corón S/N. Vilanova de Arousa, 36620, Pontevedra, Spain. jose.manuel.parada.encisa@xunta.gal.ORCID http://orcid.org/0000-0001-9851-6512

Funding

Consellería do Mar. Xunta de Galicia Grants for researchers
6 · The paper itself

Abstract

In this paper, turbidity in the interior of a ria with reduced exchange with the ocean is studied to know the relative weight of each of its components and to infer the vulnerability of the ecosystem to anthropogenic and meteorological changes. Two components or groups of variables related to turbidity have been identified: a biological one, related to phytoplankton through nutrients and solar irradiation, and a hydrodynamic one related to wind, precipitation and tide. The results show that both components are related, given the influence of wind on nutrient dynamics. It has been impossible to apply the obtained model to infer turbidity in the recent past because the anthropogenic and meteorological changes recorded suggest very different conditions from the present ones. These changes include modifications of anthropogenic origin, such as the significant reduction in wastewater inputs and the narrowing of the outer part of the ria due to the construction of a harbour. The changes are also related to meteorological conditions, such as the lack of north and north-westerly winds. Thus, the paper demonstrates the need to understand and consider medium-term local changes when studying the local influence of broader-scale changes. It also highlights the usefulness of turbidity as a measure of the system's vulnerability, given its relationship with a wide range of environmental variables.

Indexed as

NutrientsPrecipitationSolar-irradiationTideTurbidityWind-speed

Identifiers

PMID41162479
PMCPMC12572313

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.