Evidence map›Paper›PMID 35896765›Full record

ArticleScientific reports2022

Disentangling structural and functional responses of native versus alien communities by canonical ordination analyses and variation partitioning with multiple matrices.

Ioan Sîrbu, Ana-Maria Benedek, Bryan L Brown, Monica Sîrbu

Abstract read
In one paragraph

Article in Scientific reports, 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
–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.

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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.

Ioan SîrbuFaculty of Sciences, Lucian Blaga University of Sibiu, 5-7 Dr. I. Raţiu St., 550012, Sibiu, Romania. ioan.n.sirbu@ulbsibiu.ro.
Ana-Maria BenedekFaculty of Sciences, Lucian Blaga University of Sibiu, 5-7 Dr. I. Raţiu St., 550012, Sibiu, Romania.
Bryan L BrownDepartment of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24060, USA.
Monica SîrbuAndrei Şaguna Pedagogical National College, 2 Turnu Roşu St., Hipodrom, Sibiu, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Freshwaters are under accelerated human pressure, and mollusk communities are among its most sensitive, threatened, and valuable components. To the best of our knowledge, the overall effects of damming, environment, space, time, and invasive alien mollusk species, on structural and functional responses of native mollusk communities were not yet compared. Using historical information and recent data from a river, we aimed to investigate and disentangle these effects and evaluate the differences in structural and functional responses of natives and alien invasives to the same predictors. Variation partitioning showed that alien species were as important predictors as were environmental factors and time in explaining species composition of native freshwater mollusk communities. Aliens were more independent of environmental conditions than natives and responded to different drivers, partially explaining their invasion success. The increased abundance of some alien gastropods was positively related to taxonomic diversity, while certain alien bivalves were negatively associated with the functional diversity of native communities. We introduce a cumulative variation partitioning with multiple response (native and alien) and predictor matrices, along with a diagram to show their relations, advocating for a conceptual shift in future community ecology, from "variables to matrices" and from "multivariate analyses to multi-matrix statistical modeling".

Indexed as

Introduced SpeciesPlantsEcologyEcosystemHumans

Identifiers

PMID35896765
PMCPMC9329446

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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.