Evidence map›Paper›PMID 30918447›Full record

ArticleBiodiversity data journal2019

Using Malaise traps for collecting Lepidoptera (Insecta), with notes on the preparation of Macrolepidoptera from ethanol.

Olga Schmidt, Stefan Schmidt, Christoph L Häuser, Axel Hausmann, Lien Van Vu

Open access · goldAbstract read
In one paragraph

Article in Biodiversity data journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 18 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Olga SchmidtSNSB-Zoologische Staatssammlung München, Munich, Germany SNSB-Zoologische Staatssammlung München Munich Germany.
Stefan SchmidtSNSB-Zoologische Staatssammlung München, Munich, Germany SNSB-Zoologische Staatssammlung München Munich Germany.ORCID https://orcid.org/0000-0001-5751-8706
Christoph L HäuserMuseum für Naturkunde - Leibniz-Institut für Evolutions-und Biodiversitätsforschung, Berlin, Germany Museum für Naturkunde - Leibniz-Institut für Evolutions-und Biodiversitätsforschung Berlin Germany.
Axel HausmannSNSB-Zoologische Staatssammlung München, Munich, Germany SNSB-Zoologische Staatssammlung München Munich Germany.
Lien Van VuVietnam National Museum of Nature, VAST, Hanoi, Vietnam Vietnam National Museum of Nature, VAST Hanoi Vietnam.
Bavarian State Collection of Zoology · DEMuseum für Naturkunde · DEVietnam National University, Hanoi · VN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present paper deals with the potential of employing Malaise traps for collecting butterflies and moths for morphological analysis and presents a protocol for preparing Macrolepidoptera from Malaise trap samples that were preserved in ethanol. About 80 specimens of Lepidoptera, including Nymphalidae, Geometridae, Hesperiidae, Erebidae, Noctuidae, Pyralidae and Tortricidae, were mounted, following the protocol. All specimens with robust wings and contrasting wing patterns were well suited for the study of external morphology, regardless of the family. The specimens used in this study were collected in highland forest areas of central Vietnam with a little known entomofauna, as part of the German-Vietnamese biodiversity project 'VIETBIO'. The study offers new methodological approaches in an attempt to make the most of the material that was obtained using Malaise traps.

Indexed as

Butterfliescollecting methodsmacrolepidopteraMalaise trapmicrolepidopteramonitoringmothspreparation techniquerapid biodiversity assessmentsamplingtrapping

Identifiers

PMID30918447
PMCPMC6426827
OpenAlexW2922459577

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.