Evidence map›Paper›PMID 35923945›Full record

ArticleEcology and evolution2022

Multi-surveyor capture-mark-recapture as a powerful tool for butterfly population monitoring in the pre-imaginal stage.

Heiko Hinneberg, Jörg Döring, Gabriel Hermann, Gregor Markl, Jennifer Theobald, Ines Aust, Thomas Bamann, Ralf Bertscheit, Daniela Budach, Jana Niedermayer and 2 more

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Habitat Use Across the Geographic Range ofEcology and evolution · 2026
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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

12 authors at 6 institutions in 1 country.

Heiko HinnebergUniversity of Applied Forest Sciences Rottenburg Rottenburg am Neckar Germany.ORCID https://orcid.org/0000-0003-0122-843X
Jörg DöringPrivate Laupheim Germany.
Gabriel HermannArbeitsgruppe für Tierökologie und Planung GmbH (Filderstadt) Filderstadt Germany.
Gregor MarklUniversity of Tübingen, Petrology and Mineral Resources Tübingen Germany.
Jennifer TheobaldArbeitsgruppe für Tierökologie und Planung GmbH (Filderstadt) Filderstadt Germany.
Ines AustRegierungspräsidium Tübingen, Referat 56 - Naturschutz und Landschaftspflege Tübingen Germany.
Thomas BamannRegierungspräsidium Tübingen, Referat 56 - Naturschutz und Landschaftspflege Tübingen Germany.
Ralf BertscheitPrivate Tübingen Germany.
Daniela BudachISTE Baden-Württemberg e. V. Ostfildern Germany.
Jana NiedermayerInstitut für Landschaftsökologie und Naturschutz (ILN) Bühl Bühl Germany.
Alicia RissiUniversity of Applied Forest Sciences Rottenburg Rottenburg am Neckar Germany.
Thomas K GottschalkUniversity of Applied Forest Sciences Rottenburg Rottenburg am Neckar Germany.ORCID https://orcid.org/0000-0002-8951-386X
Rottenburg University of Applied Forest Sciences · DEKarl Schlecht Stiftung · DERegierungspräsidium Stuttgart · DEBUND Naturschutz · DERentschler Biopharma (Germany) · DEUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For many elusive insect species, which are difficult to cover by standard monitoring schemes, innovative survey methods are needed to gain robust data on abundance and population trends. We suggest a monitoring of overwintering larvae for the endangered nymphalid butterfly

Indexed as

caterpillardetection probabilityLepidopteraLimenitisoverwinter mortalitypopulation sizesessile life stages

Identifiers

PMID35923945
PMCPMC9339765
OpenAlexW4289133615

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.