Evidence map›Paper›PMID 40325293›Full record

ArticleEnvironmental science and pollution research international2025

Long-term changes in chemical components in the meadow pipit (Anthus pratensis) in the formerly heavily polluted Eastern Sudetes Mountains.

Stanislav Bureš, Petr Hekera, Paulína Jašková

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 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.

Stanislav BurešInstitute of High Mountain Biology, University of Žilina, Tatranská Javorina 7, 059 56, Tatranská Javorina, Slovak Republic. stanislav.bures@upol.cz.ORCID http://orcid.org/0000-0001-5020-6531
Petr HekeraDepartment of Ecology and Environmental Sciences, Faculty of Science, Palacky University, Šlechtitelů 27, 783 71, Olomouc, Czech Republic.
Paulína JaškováDepartment of Mathematical Analysis and Applied Mathematics, Faculty of Science, Palacky University, 17 Listopadu 12, 771 46, Olomouc, Czech Republic.

Funding

Univerzita Palackého v Olomouci IGA_PrF_2024_006
6 · The paper itself

Abstract

The Eastern Sudetes Mountains (Northern Moravia, Czech Republic) were among the most polluted regions of Europe due to toxic metal depositions and acid rain, until the desulfurization of emissions from coal power stations and reduction of heavy industry which took place in the 1990s. This study provides a comparison of data on the levels of calcium, lead, cadmium, and aluminum in soil, meadow pipit (Anthus pratensis) nestlings, and their available diet in 1994-1999 and in 2017-2019. The soil pH and exchangeable amount of calcium and lead increased slightly. The concentration of calcium in potential prey (invertebrates) increased slightly, and lead and cadmium levels decreased. The amount of calcium and lead in nestling bodies decreased in 2017-2019, while cadmium and aluminum levels remained unchanged after accounting for nestling age. The age of nestlings had an effect on aluminum only, when its content decreased with age. The principal component analysis revealed close association between calcium and lead. The consequences of recent leaching of basic cations, mainly calcium, and increasing bioavailability of lead in soils for future reproduction of the meadow pipit are discussed.

Indexed as

Soil PollutantsAluminumAnimalsCadmiumCalciumCzech RepublicEnvironmental MonitoringLeadSoilAluminumCadmiumCalciumLeadSoilSoil PollutantsAluminumCadmiumCalciumInvertebratesLeadPasserinesRecoverySoil chemistryUpland

Identifiers

PMID40325293
PMCPMC12119660

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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.