Evidence map›Paper›PMID 26257501›Full record

ArticleAquatic sciences

Fish remains as a source to reconstruct long-term changes of fish communities in the Austrian and Hungarian Danube.

Alfred Galik, Gertrud Haidvogl, Laszlo Bartosiewicz, Gabor Guti, Mathias Jungwirth

Abstract read
In one paragraph

Article in Aquatic sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Alfred GalikInstitute of Anatomy, Histology and Embryology, University of Veterinary Medicine Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
Gertrud HaidvoglInstitute of Hydrobiology and Aquatic Ecosystem Management, University of Natural Resources and Life Sciences, Vienna, Austria.
Laszlo BartosiewiczInstitute of Archaeological Sciences, Eötvös Loránd University, Budapest, Hungary ; School of History, Classics and Archaeology, University of Edinburgh, Edinburgh, Ireland.
Gabor GutiDanube Research Institute, MTA Centre for Ecological Research, Hungarian Academy of Sciences, Budapest, Hungary.
Mathias JungwirthInstitute of Hydrobiology and Aquatic Ecosystem Management, University of Natural Resources and Life Sciences, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main objective of this paper is to investigate how archaeological fish remains and written historical records can contribute to the reconstruction of long-term developments of fish communities along the Austrian and Hungarian Danube. Although such approaches are sensitive to various factors, the chronological subdivision and relative quantification of proxy data demonstrate environmental and faunal changes from Prehistory onwards. Intensification of fisheries, decline of large specimens and massive exploitation of small and young fish point to increasing pressure along the chronological sequence towards Early Modern times. One result of this impact was the establishment of regulations and laws to protect such fish. At the same time, the rise of aquaculture and common carp cultivation can be viewed as another upshot of human impact on the Danube's environment. Finally, the massive import of salted marine fish reflects a compensation for the undersupply caused by overexploitation of the Danube fish fauna and points to the growing demand for fish as food in late medieval and Early Modern times.

Indexed as

ArchaeoichthyologyArchaeological methodsAustrian DanubeFish community changeHungarian Danube

Identifiers

PMID26257501
PMCPMC4525806

What OpenQuestion holds

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Read underepoch 390

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.