Evidence map›Paper›PMID 32958844›Full record

ArticleScientific reports2020

Rapid functional traits turnover in boreal dragonfly communities (Odonata).

Marina Schmidt Dalzochio, Eduardo Périco, Norton Dametto, Göran Sahlén

Abstract read
In one paragraph

Article in Scientific reports, 2020. 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
–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

3 citing papers in PubMed.

  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

4 authors.

Marina Schmidt DalzochioEcology and Evolution Lab, Universidade Do Vale Do Taquari, Univates, Avelino Talini Street, number 171, Universitário, Lajeado, RS, 95900-000, Brazil.
Eduardo PéricoEcology and Evolution Lab, Universidade Do Vale Do Taquari, Univates, Avelino Talini Street, number 171, Universitário, Lajeado, RS, 95900-000, Brazil.
Norton DamettoEcology and Evolution Lab, Universidade Do Vale Do Taquari, Univates, Avelino Talini Street, number 171, Universitário, Lajeado, RS, 95900-000, Brazil.
Göran SahlénRydberg Laboratory for Applied Sciences, RLAS, Halmstad University, P.O. Box 823, 30118, Halmstad, Sweden. goran.sahlen@hh.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

All natural populations show fluctuations in space or time. This is fundamental for the maintenance of biodiversity, as it allows species to coexist. Long-term ecological studies are rare, mainly due to logistics, but studies like the one presented below recognize the dimensionality of temporal change and the ecological processes that lead to shifts in community composition over time. Here, we used three sampling occasions from a dataset spanning 20 years where dragonflies in central Sweden were monitored. Our aim was to investigate how the prevalence of ecological and biological species traits varied over time measured as Community-level Weighted Means of trait values (CWM). Most CWM values varied significantly between years. Most of the traits changed between the second and the last sampling occasion, but not between the two first ones. These changes could be linked to major changes in species abundance. Our work indicates that fundamental shifts in community structure can occur over a short time, providing environmental drivers act on species turnover. In our case, Climate change and pH levels in lakes are most likely the most important factors.

Indexed as

Biological EvolutionEnvironmentAnimalsBiodiversityClimate ChangeEcosystemLongitudinal StudiesMetagenomicsOdonataPhenotypeSweden

Identifiers

PMID32958844
PMCPMC7505836

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.