Evidence map›Paper›PMID 37953989›Full record

ArticleEcology and evolution2023

Shining a light on elusive lynx: Density estimation of three Eurasian lynx populations in Ukraine and Belarus.

Stefano Palmero, Adam F Smith, Svitlana Kudrenko, Martin Gahbauer, Dominik Dachs, Kirsten Weingarth-Dachs, Irina Kashpei, Dmitry Shamovich, Denys Vyshnevskiy, Oleksandr Borsuk and 5 more

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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 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

15 authors.

Stefano PalmeroDepartment of Wildlife Ecology and Management, Faculty of Environment and Natural Resources University of Freiburg Freiburg Germany.ORCID https://orcid.org/0000-0002-2755-1297
Adam F SmithDepartment of Wildlife Ecology and Management, Faculty of Environment and Natural Resources University of Freiburg Freiburg Germany.
Svitlana KudrenkoDepartment of National Park Monitoring and Animal Management Bavarian Forest National Park Grafenau Germany.
Martin GahbauerDepartment of National Park Monitoring and Animal Management Bavarian Forest National Park Grafenau Germany.
Dominik DachsMeles Wildbiologie Großraming Austria.
Kirsten Weingarth-DachsHabitat - Wildlife Services Großraming Austria.
Irina KashpeiThe Frankfurt Zoological Society Frankfurt Germany.
Dmitry ShamovichSosnovy Bor Vitebsk Region Belarus.
Denys VyshnevskiyChornobyl Radiation and Ecological Biosphere Reserve Ivankiv Ukraine.
Oleksandr BorsukChornobyl Radiation and Ecological Biosphere Reserve Ivankiv Ukraine.
Kateryna KorepanovaChornobyl Radiation and Ecological Biosphere Reserve Ivankiv Ukraine.
Andriy-Taras BashtaInstitute of Ecology of the Carpathians National Academy of Sciences of Ukraine Lviv Ukraine.
Rostyslav ZhuravchakThe Frankfurt Zoological Society Frankfurt Germany.
Viktar FenchukThe Frankfurt Zoological Society Frankfurt Germany.
Marco HeurichDepartment of Wildlife Ecology and Management, Faculty of Environment and Natural Resources University of Freiburg Freiburg Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Eurasian lynx is a large carnivore widely distributed across Eurasia. However, our understanding of population status is heterogeneous across their range, with some populations isolated that are at risk of reduced genetic variation and a complete lack of information about others. In many European countries, Eurasian lynx are monitored through demographic studies crucial for their conservation and management. Even so, there are only rough and fragmented population assessments from Ukraine and Belarus, despite strict protection in both countries and their importance for lynx connectivity across Europe. We monitored lynx from October 2020 to March 2021 and used camera trapping in combination with spatial capture-recapture (SCR) methods in a Bayesian framework to provide the first SCR density estimation of three lynx populations across Ukraine and Belarus, including the Ukrainian Chornobyl Exclusion Zone, southern Belarus and the Ukrainian Carpathians. Our density estimates varied within our study areas ranging from 0.45 to 1.54 individuals/100 km

Indexed as

camera trappingCarpathiansChornobyl Exclusion Zonedensity estimationEurasian lynxPolesiaspatial capture–recapture

Identifiers

PMID37953989
PMCPMC10636425

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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.