Evidence map›Paper›PMID 32512838›Full record

ArticleInsects2020

Large- and Small-Scale Environmental Factors Drive Distributions of Ant Mound Size Across a Latitudinal Gradient.

Orsolya Juhász, Zoltán Bátori, Gema Trigos-Peral, Gábor Lőrinczi, Gábor Módra, Imola Bóni, Péter János Kiss, Dianne Joy Aguilon, Anna Tenyér, István Maák

Abstract read
In one paragraph

Article in Insects, 2020. 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. Article
  2. Habitat features and colony characteristics influencing ant personality and its fitness consequences.Behavioral ecology : official journal of the International Society for Behavioral Ecology
    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

10 authors.

Orsolya JuhászDepartment of Ecology, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary.ORCID 0000-0002-0456-444X
Zoltán BátoriDepartment of Ecology, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary.
Gema Trigos-PeralMuseum and Institute of Zoology, Polish Academy of Sciences, Wilcza Street 64, 00-679 Warsaw, Poland.
Gábor LőrincziDepartment of Ecology, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary.
Gábor MódraDepartment of Ecology, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary.
Imola BóniDepartment of Ecology, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary.
Péter János KissDepartment of Ecology, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary.
Dianne Joy AguilonDepartment of Ecology, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary.ORCID 0000-0002-4995-9090
Anna TenyérDepartment of Physical Geography and Geoinformatics, University of Szeged, Egyetem Street 2-6, H-6722 Szeged, Hungary.
István MaákDepartment of Ecology, University of Szeged, Közép fasor 52, H-6726 Szeged, Hungary.

Funding

Hungarian Scientific Research Fund NKFIH K 124796Polish National Science Center, Miniatura 2017-01-X-NZ8-01042SZTE Open Access 4724
6 · The paper itself

Abstract

Red wood ants are keystone species of forest ecosystems in Europe. Environmental factors and habitat characteristics affect the size of their nest mounds, an important trait being in concordance with a colony's well-being and impact on its surroundings. In this study, we investigated the effect of large-scale (latitude and altitude) and small-scale environmental factors (e.g., characteristics of the forest) on the size of nest mounds of

Indexed as

altitudinal gradientBergmann’s ruleFormica polyctenalatitudinal gradientnest mound

Identifiers

PMID32512838
PMCPMC7348728

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.