Evidence map›Paper›PMID 33869693›Full record

ArticleData in brief2021

Dataset and species aggregation method applied to food-web models in the Northern Ionian Sea (Central Mediterranean Sea).

P Ricci, L Sion, F Capezzuto, G Cipriano, G D'Onghia, S Libralato, P Maiorano, A Tursi, R Carlucci

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2021. 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
–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

1 citing paper in PubMed.

  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

9 authors.

P RicciDepartment of Biology, University of Bari Aldo Moro, Via Orabona, 4, 70125 Bari, Italy.
L SionDepartment of Biology, University of Bari Aldo Moro, Via Orabona, 4, 70125 Bari, Italy.
F CapezzutoDepartment of Biology, University of Bari Aldo Moro, Via Orabona, 4, 70125 Bari, Italy.
G CiprianoDepartment of Biology, University of Bari Aldo Moro, Via Orabona, 4, 70125 Bari, Italy.
G D'OnghiaDepartment of Biology, University of Bari Aldo Moro, Via Orabona, 4, 70125 Bari, Italy.
S LibralatoNational Institute of Oceanography and Applied Geophysics - OGS, Borgo Grotta Gigante 42/c, 34010 Sgonico, Trieste, Italy.
P MaioranoDepartment of Biology, University of Bari Aldo Moro, Via Orabona, 4, 70125 Bari, Italy.
A TursiDepartment of Biology, University of Bari Aldo Moro, Via Orabona, 4, 70125 Bari, Italy.
R CarlucciDepartment of Biology, University of Bari Aldo Moro, Via Orabona, 4, 70125 Bari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ecological roles of the species in the food web are studied through the Ecopath with Ecosim modelling approach. In this modelling approach, the food web is described by means of functional groups, each representing a species, a life stage of a species, or a group of species with similar trophic, ecological and physiological features. Links between the groups are formally described by a set of linear equations, informed with ecological and fishing data. Here, the data input collected to implement 3 Ecopath models in the Northern Ionian Sea (Central Mediterranean Sea) from 1995 to 2015 are reported. This dataset applied to study the ecological roles of the demersal Chondrichthyes in the study area could be useful to explore different fishing management scenarios. A large dataset of over 300 taxa is shown detailing the ecological inputs, such as Biomass (kg km

Indexed as

Demersal chondrichthyesDiet informationEcopath with ecosimFishery dataMarine food webs

Identifiers

PMID33869693
PMCPMC8040120

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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.