Evidence map›Paper›PMID 35447835›Full record

ArticleInsects2022

The Early Season Community of Flower-Visiting Arthropods in a High-Altitude Alpine Environment.

Marco Bonelli, Elena Eustacchio, Daniele Avesani, Verner Michelsen, Mattia Falaschi, Marco Caccianiga, Mauro Gobbi, Morena Casartelli

Open access · goldAbstract read
In one paragraph

Article in Insects, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
5.6field-weighted citation impact, top 5% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

8 authors at 4 institutions in 2 countries.

Marco BonelliDepartment of Biosciences, University of Milan, 20133 Milan, Italy.ORCID 0000-0003-2853-6598
Elena EustacchioDepartment of Biosciences, University of Milan, 20133 Milan, Italy.ORCID 0000-0001-9488-203X
Daniele AvesaniZoology Section, Civic Museum of Natural History of Verona, 37129 Verona, Italy.
Verner MichelsenNatural History Museum of Denmark, University of Copenhagen, DK-2100 Copenhagen, Denmark.
Mattia FalaschiDepartment of Environmental Science and Policy, University of Milan, 20133 Milan, Italy.ORCID 0000-0002-4511-4816
Marco CaccianigaDepartment of Biosciences, University of Milan, 20133 Milan, Italy.
Mauro GobbiResearch and Museum Collections Office, Climate and Ecology Unit, MUSE-Science Museum, 38122 Trento, Italy.ORCID 0000-0002-1704-4857
Morena CasartelliDepartment of Biosciences, University of Milan, 20133 Milan, Italy.ORCID 0000-0002-1413-7660
University of Milan · ITMuseo delle Scienze · ITUniversity of Copenhagen · DKUniversity of Verona · IT

Funding

Parco delle Orobie Bergamasche Deliberation n. 7, 6 February 2018
6 · The paper itself

Abstract

In mountain ecosystems, climate change can cause spatiotemporal shifts, impacting the composition of communities and altering fundamental biotic interactions, such as those involving flower-visiting arthropods. On of the main problems in assessing the effects of climate change on arthropods in these environments is the lack of baseline data. In particular, the arthropod communities on early flowering high-altitude plants are poorly investigated, although the early season is a critical moment for possible mismatches. In this study, we characterised the flower-visiting arthropod community on the early flowering high-altitude Alpine plant,

Indexed as

AlpsAndrosace brevisbiotic interactionsDiptera AnthomyiidaeHymenopterainsect pollinatorsmountain ecosystemsparasitoid waspstemperaturewind speed

Identifiers

PMID35447835
PMCPMC9032982
OpenAlexW4224127940

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.