Evidence map›Paper›PMID 37311785›Full record

ArticleScientific reports2023

Influence of ecological traits on spatio-temporal dynamics of an elasmobranch community in a heavily exploited basin.

Federico Maioli, Benjamin Weigel, Elettra Chiarabelli, Chiara Manfredi, Alessandra Anibaldi, Igor Isailović, Nedo Vrgoč, Michele Casini

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
4.6field-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

1 citing paper in PubMed, 13 citations in OpenAlex.

  1. 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 5 institutions in 5 countries.

Federico MaioliDepartment of Biological, Geological, and Environmental Sciences, Laboratory of Marine Biology and Fisheries, University of Bologna, 61032, Fano, Italy. f.maioli@unibo.it.
Benjamin WeigelFaculty of Biological and Environmental Sciences, Organismal and Evolutionary Biology Research Programme, Research Centre for Ecological Change, University of Helsinki, 00100, Helsinki, Finland.
Elettra ChiarabelliDepartment of Biological, Geological, and Environmental Sciences, Laboratory of Marine Biology and Fisheries, University of Bologna, 61032, Fano, Italy.
Chiara ManfrediDepartment of Biological, Geological, and Environmental Sciences, Laboratory of Marine Biology and Fisheries, University of Bologna, 61032, Fano, Italy.
Alessandra AnibaldiDepartment of Biological, Geological, and Environmental Sciences, Laboratory of Marine Biology and Fisheries, University of Bologna, 61032, Fano, Italy.
Igor IsailovićInstitute of Oceanography and Fisheries, 21000, Split, Croatia.
Nedo VrgočInstitute of Oceanography and Fisheries, 21000, Split, Croatia.
Michele CasiniDepartment of Biological, Geological, and Environmental Sciences, Laboratory of Marine Biology and Fisheries, University of Bologna, 61032, Fano, Italy. m.casini@unibo.it.
University of Bologna · ITInstitute of Oceanography and Fisheries · HRCEA CESTA · FRCoNISMa · ITSwedish University of Agricultural Sciences · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elasmobranchs, which include sharks and batoids, play critical roles in maintaining the integrity and stability of marine food webs. However, these cartilaginous fish are among the most threatened vertebrate lineages due to their widespread depletion. Consequently, understanding dynamics and predicting changes of elasmobranch communities are major research topics in conservation ecology. Here, we leverage long-term catch data from a standardized bottom trawl survey conducted from 1996 to 2019, to evaluate the spatio-temporal dynamics of the elasmobranch community in the heavily exploited Adriatic Sea, where these fish have historically been depleted. We use joint species distribution modeling to quantify the responses of the species to environmental variation while also including important traits such as species age at first maturity, reproductive mode, trophic level, and phylogenetic information. We present spatio-temporal changes in the species community and associated modification of the trait composition, highlighting strong spatial and depth-mediated patterning. We observed an overall increase in the abundance of the dominant elasmobranch species, except for spurdog, which has shown a continued decline. However, our results showed that the present community displays lower age at first maturity and a smaller fraction of viviparous species compared to the earlier observed community due to changes in species' relative abundance. The selected traits contributed considerably to explaining community patterns, suggesting that the integration of trait-based approaches in elasmobranch community analyses can aid efforts to conserve this important lineage of fish.

Indexed as

SharksAnimalsFood ChainNutritional StatusPhenotypePhylogeny

Identifiers

PMID37311785
PMCPMC10264359
OpenAlexW4380538448

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Registered trials

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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.