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

Demersal chondrichthyes Diet information Ecopath with ecosim Fishery data Marine food webs

Journal

Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995

Informations de publication

Date de publication:
Jun 2021
Historique:
received: 24 01 2021
revised: 15 02 2021
accepted: 11 03 2021
entrez: 19 4 2021
pubmed: 20 4 2021
medline: 20 4 2021
Statut: epublish

Résumé

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

Identifiants

pubmed: 33869693
doi: 10.1016/j.dib.2021.106964
pii: S2352-3409(21)00248-1
pmc: PMC8040120
doi:

Types de publication

Journal Article

Langues

eng

Pagination

106964

Informations de copyright

© 2021 The Authors. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

The Authors declare that they have no known competing financial interests or personal relationships which have, or could be perceived to have, influenced the work reported in this article.

Références

PLoS One. 2019 Jan 15;14(1):e0210659
pubmed: 30645620
Ecol Evol. 2019 Sep 03;9(18):10198-10212
pubmed: 31624545

Auteurs

P Ricci (P)

Department of Biology, University of Bari Aldo Moro, Via Orabona, 4, 70125 Bari, Italy.
CoNISMa, Piazzale Flaminio, 9, 00196 Roma, Italy.

L Sion (L)

Department of Biology, University of Bari Aldo Moro, Via Orabona, 4, 70125 Bari, Italy.
CoNISMa, Piazzale Flaminio, 9, 00196 Roma, Italy.

F Capezzuto (F)

Department of Biology, University of Bari Aldo Moro, Via Orabona, 4, 70125 Bari, Italy.
CoNISMa, Piazzale Flaminio, 9, 00196 Roma, Italy.

G Cipriano (G)

Department of Biology, University of Bari Aldo Moro, Via Orabona, 4, 70125 Bari, Italy.
CoNISMa, Piazzale Flaminio, 9, 00196 Roma, Italy.

G D'Onghia (G)

Department of Biology, University of Bari Aldo Moro, Via Orabona, 4, 70125 Bari, Italy.
CoNISMa, Piazzale Flaminio, 9, 00196 Roma, Italy.

S Libralato (S)

National Institute of Oceanography and Applied Geophysics - OGS, Borgo Grotta Gigante 42/c, 34010 Sgonico, Trieste, Italy.

P Maiorano (P)

Department of Biology, University of Bari Aldo Moro, Via Orabona, 4, 70125 Bari, Italy.
CoNISMa, Piazzale Flaminio, 9, 00196 Roma, Italy.

A Tursi (A)

Department of Biology, University of Bari Aldo Moro, Via Orabona, 4, 70125 Bari, Italy.
CoNISMa, Piazzale Flaminio, 9, 00196 Roma, Italy.

R Carlucci (R)

Department of Biology, University of Bari Aldo Moro, Via Orabona, 4, 70125 Bari, Italy.
CoNISMa, Piazzale Flaminio, 9, 00196 Roma, Italy.

Classifications MeSH