Evidence map›Paper›PMID 41318866›Full record

ArticleScientific reports2025

Long-term dynamics and distribution of large carnivores in Poland.

Dorota Sienkiewicz-Paderewska, Jakub Paderewski

RetractedAbstract readRetracted Publication
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. It has been retracted, and should not be counted. 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

5 · Who and what money

Authors and funding

2 authors.

Dorota Sienkiewicz-PaderewskaDepartment of Biometry, Warsaw University of Life Sciences, Nowoursynowska 159, 02-776, Warsaw, Poland. dorota_sienkiewicz_paderewska@sggw.edu.pl.ORCID http://orcid.org/0000-0002-4255-8390
Jakub PaderewskiDepartment of Biometry, Warsaw University of Life Sciences, Nowoursynowska 159, 02-776, Warsaw, Poland.ORCID http://orcid.org/0000-0003-3957-7467

Funding

The publication was financed by Science development fund of the Warsaw University of Life Sciences - SGGW
6 · The paper itself

Abstract

The brown bear Ursus arctos, Eurasian lynx Lynx lynx, and gray wolf Canis lupus are Europe's threatened large carnivores. The analyses were conducted using data on the abundance of these species in Poland, collected by the Polish Central Statistical Office (bear 1965-2023, wolf 1995-2023, and lynx 1996-2023). For the years 2000-2023, data were also available by region. We subjected these data to statistical analysis: chi-square tests, segmented regression, and principal component analysis. Biplots, charts of population dynamics, and distribution maps were created to visualize the results. In Poland in the analyzed time period, an increase in the population of all three studied carnivores was observed along with the westward expansion of the territorial range of lynx and wolf, while bear range remained unchanged. The most mean population increase was exhibited by the gray wolf (7.01%), followed by the brown bear (4.78%) and, finally, the Eurasian lynx (2.94%). The population dynamics of the carnivores showed trends over time, with a notable increase in the last decade. The use of multi-year data in modelling enables a better understanding of the mechanisms governing the abundance and distribution of populations of endangered species. This, in turn, facilitates the planning of more effective conservation measures.

Indexed as

CarnivoraLynxUrsidaeWolvesAnimalsConservation of Natural ResourcesPolandPopulation DynamicsBrown bear Ursus arctosDistribution of threatened European carnivoresEurasian lynx Lynx lynxGray wolf Canis lupusPopulation status of carnivores

Identifiers

PMID41318866
PMCPMC12808787

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.