Evidence map›Paper›PMID 36789531›Full record

ReviewBiology letters2023

Experiments are needed to quantify the main causes of insect decline.

Wolfgang Weisser, Nico Blüthgen, Michael Staab, Rafael Achury, Jörg Müller

Abstract readReview
In one paragraph

Review in Biology letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Coinvasional disruptions to island pollinator networks.Conservation biology : the journal of the Society for Conservation Biology · 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

5 authors.

Wolfgang WeisserSchool of Life Sciences, Technical University of Munich, Terrestrial Ecology Research Group, Freising, Germany.ORCID 0000-0002-2757-8959
Nico BlüthgenEcological Networks, Technische Universität Darmstadt, Darmstadt, Germany.ORCID 0000-0001-6349-4528
Michael StaabEcological Networks, Technische Universität Darmstadt, Darmstadt, Germany.ORCID 0000-0003-0894-7576
Rafael AchurySchool of Life Sciences, Technical University of Munich, Terrestrial Ecology Research Group, Freising, Germany.ORCID 0000-0003-0435-3594
Jörg MüllerDepartment of Animal Ecology and Tropical Biology, University of Würzburg, Würzburg, Germany.ORCID 0000-0002-1409-1586

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sparked by reports of insect declines of unexpected extent, there has been a surge in the compilation and analysis of insect time series data. While this effort has led to valuable databases, disagreement remains as to whether, where and why insects are declining. The 'why' question is particularly important because successful insect conservation will need to address the most important drivers of decline. Despite repeated calls for more long-term data, new time series will have to run for decades to quantitatively surpass those currently available. Here we argue that experimentation in addition to quantitative analysis of existing data is needed to identify the most important drivers of insect decline. While most potential drivers of insect population change are likely to have already been identified, their relative importance is largely unknown. Researchers should thus unite and use statistical insight to set up suitable experiments to be able to rank drivers by their importance. Such a coordinated effort is needed to produce the knowledge necessary for conservation action and will also result in increased monitoring and new time series.

Indexed as

InsectaResearch DesignAnimalsBiodiversityEcosystemarthropodbiodiversity lossconservationland-use

Identifiers

PMID36789531
PMCPMC9929502

What OpenQuestion holds

Textmetadata
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.