Evidence map›Paper›PMID 37915314›Full record

ArticleBiodiversity data journal2023

Black gold rush - Evaluating the efficiency of the Fractionator in separating Hymenoptera families in a meadow ecosystem over a two week period.

Maura Haas-Renninger, Noa L A Schwabe, Marina Moser, Lars Krogmann

Abstract read
In one paragraph

Article in Biodiversity data journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Update on the enigmaticBiodiversity data journal · 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

4 authors.

Maura Haas-RenningerState Museum of Natural History Stuttgart, Stuttgart, Germany State Museum of Natural History Stuttgart Stuttgart Germany.ORCID https://orcid.org/0000-0003-0834-0707
Noa L A SchwabeUniversity of Hohenheim, Stuttgart, Germany University of Hohenheim Stuttgart Germany.ORCID https://orcid.org/0009-0004-3263-0370
Marina MoserState Museum of Natural History Stuttgart, Stuttgart, Germany State Museum of Natural History Stuttgart Stuttgart Germany.ORCID https://orcid.org/0000-0001-7876-0278
Lars KrogmannState Museum of Natural History Stuttgart, Stuttgart, Germany State Museum of Natural History Stuttgart Stuttgart Germany.ORCID https://orcid.org/0000-0002-3724-1735

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the face of insect decline, monitoring projects are launched widely to assess trends of insect populations. Collecting over long time periods results in large numbers of samples with thousands of individuals that are often just stored in freezers waiting to be further processed. As the time-consuming process of sorting and identifying specimens prevents taxonomists from working on mass samples, important information on species composition remains unknown and taxonomically neglected species remain undiagnosed. Size fractioning of bulk samples can improve sample handling and, thus, can help to overcome the taxonomic impediment. In this paper, we evaluate the efficiency of the fractionator in separating Hymenoptera families from a Malaise trap sample of a meadow ecosystem over a two week interval to make them available for further morphological identification. The fractionator system by Buffington and Gates (2008) was used to separate the sample in two size classes - a large (macro) and a small (micro) fraction - and Hymenoptera specimens were then counted and identified on family level. In total, 2,449 Hymenoptera specimens were found in the macro fraction and 3,016 in the micro fraction (5,465 specimens in total). For 24 out of 34 Hymenoptera families (71%), separation was significant. This study illustrates the efficiency of the fractionator and its potential to improve workflows dealing with specimen-rich Malaise trap samples.

Indexed as

biomassbulk samplesinsect declinemonitoringtaxonomic impediment

Identifiers

PMID37915314
PMCPMC10616778

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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.