Patterns of phytoplankton community structure and diversity in offshore finfish cages in the Mediterranean Sea (Monastir Bay, Tunisia, 2018)

Données d'échantillonnage
Dernière version Publié par Hellenic Center for Marine Research le avr. 27, 2026 Hellenic Center for Marine Research

Téléchargez la dernière version de la ressource en tant qu'Archive Darwin Core (DwC-A), ou les métadonnées de la ressource au format EML ou RTF :

Données sous forme de fichier DwC-A (zip) télécharger 64 enregistrements dans Anglais (52 KB) - Fréquence de mise à jour: inconnue
Métadonnées sous forme de fichier EML télécharger dans Anglais (50 KB)
Métadonnées sous forme de fichier RTF télécharger dans Anglais (14 KB)

Description

The dataset includes measurements of key environmental parameters such as temperature, salinity, dissolved oxygen, and nutrient concentrations, together with data on phytoplankton composition and abundance. These data can be used to evaluate the influence of aquaculture activities on water quality and phytoplankton dynamics in coastal Mediterranean ecosystems.

Enregistrements de données

Les données de cette ressource données d'échantillonnage ont été publiées sous forme d'une Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant qu'ensemble d'un ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 64 enregistrements.

2 tableurs de données d'extension existent également. Un enregistrement d'extension fournit des informations supplémentaires sur un enregistrement du cœur de standard (core). Le nombre d'enregistrements dans chaque tableur de données d'extension est illustré ci-dessous.

Event (noyau)
64
Occurrence 
3325
ExtendedMeasurementOrFact 
374

Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.

Versions

Le tableau ci-dessous n'affiche que les versions publiées de la ressource accessibles publiquement.

Comment citer

Les chercheurs doivent citer cette ressource comme suit:

Challouf R, Medhioub W, Rallis I, Medhioub M N (2026). Patterns of phytoplankton community structure and diversity at finfish offshore cage in the Mediterranean Sea (Bay of Monastir, Tunisia). University of Carthage, National Institute of Marine Sciences and Technologies (INSTM), Salammbô, Tunisia.

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est Hellenic Center for Marine Research. Ce travail est sous licence Creative Commons Attribution (CC-BY) 4.0.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : 7d70a250-4507-4a60-b5c6-ef778ed38fa2.  Hellenic Center for Marine Research publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du Ocean Biodiversity Information System.

Mots-clé

Samplingevent; Phytoplankton; Diversity; Species composition; Toxic microalgae; Aquaculture; Mediterranean Sea

Contacts

Rafika Challouf
  • Fournisseur Des Métadonnées
  • Créateur
  • Personne De Contact
General Engineer
University of Carthage, National Institute of Marine Sciences and Technologies (INSTM), Marine Biodiversity Laboratory
Salammbô, Tunisia
5000 Monastir
TN
21622700897
Walid Medhioub
  • Créateur
  • Personne De Contact
Assistant professor
University of Carthage, National Institute of Marine Sciences and Technologies (INSTM), Aquaculture Laboratory
50000 Monastir
TN
Mohamed Néjib Medhioub
  • Créateur
Professor
University of Carthage, National Institute of Marine SciUniversity of Carthage, National Institute of Marine Sciences and Technologies (INSTM), Aquaculture Laboratoryences and Technologies (INSTM), Aquaculture Laboratory
5000 Monastir
TN
Ioannis Rallis
  • Curateur Des Données
Data Manager - Marine Biologist
Institute of Marine Biology, Biotechnology and Aquaculture - Hellenic Centre for Marine Research (IMBBC-HCMR)
Heraklion
GR
Dimitra Mavraki
  • Curateur Des Données
Data manager
HCMR-IMBBC
Thalassocosmos, Former American Base
71003 Heraklion
Crete
GR

Couverture géographique

Sampling took place in the Bay of Monastir (Mediterranean Sea, Tunisia)

Enveloppe géographique Sud Ouest [35,617, 10,803], Nord Est [35,826, 11,121]

Couverture taxonomique

All phytoplankton were identified to genus or species, including dinoflagellates, diatoms, cyanobacteria, and euglenophytes. Silicoflagellates, foraminifera, and ciliates were identified to genus. Zooplankton and bivalve larvae were recorded as broad taxonomic categories.

Couverture temporelle

Date de début / Date de fin 2018-02-20 / 2018-10-26

Données sur le projet

Investigating the potential for mussel aquaculture off the coast of Monastir, including assessment of environmental conditions, growth potential, and sustainable farming practices for Mytilus galloprovincialis and Perna perna.

Titre Study on the possibilities for exploitation and farming of mussels (Mytilus galloprovincialis and Perna perna) off the coast of Monastir (Tunisia)
Financement This work was supported by the National Institute of Marine Sciences and Technologies (INSTM)
Description du domaine d'étude / de recherche Mediterranean Sea
Description du design The research tasks within this project were carried out by researchers from the National Institute of Marine Sciences and Technologies (INSTM). The team was responsible for field sampling, environmental monitoring, phytoplankton identification, and data analysis. Activities included the collection of plankton samples, laboratory identification of phytoplankton taxa, and the evaluation of environmental conditions related to the potential farming of the mussels Mytilus galloprovincialis and Perna perna off the coast of Monastir (Tunisia).

Méthodes d'échantillonnage

This study was conducted at a sea bream and sea bass aquaculture farm (35°45.902′ N, 10°55.548′ E) located in Monastir Bay near the Monastir-Kuriates Islands, approximately 15 km from the Tunisian Mediterranean coast, at a water depth of 28 m. The farm has been in operation since 2008. Sampling was carried out at four stations in the offshore waters of Monastir (Tunisia, Mediterranean Sea). Stations S1, S2, and S3 were located within the aquaculture farm, whereas station S4 was situated outside the farm and served as a control site. Sampling was conducted seasonally from February to October 2018. Seawater samples were collected using a 5-L Niskin bottle at three depths (0 m, 15 m, and 25 m). The collected samples were preserved and transported to the laboratory for phytoplankton identification and physicochemical analyses.

Etendue de l'étude The study was conducted in the offshore fish farm in Monastir, Tunisia (Mediterranean Sea) from February to October 2018. The project focused on phytoplankton taxa .Water samples were collected with a 5-L Niskin bottle.
Contrôle qualité Water samples (1 L) to be used for phytoplankton enumeration were preserved with formol solution (3‰) and stored in the dark at 4 °C.Water samples for nutrient analyses (60 mL) were collected and preserved immediately at − 20 °C in the dark. Water samples for suspended matter analysis were filtered by vacuum filtration through Whatman GF/C glass fiber filters, and the filters were immediately stored at − 20 °C.

Description des étapes de la méthode:

  1. Seawater temperature and dissolved oxygen (DO) were measured directly in situ using an electronic thermometer (LUTRON®BC-4308) and a DO meter (PCE®-WO2 10), respectively. To determine the concentration of SM, 1.5 liters of seawater was collected and filtered on pre-weighed GF/C 0.45 µm filters (WHATMAN®). Subsequently, filters were dried in an oven at 100 ◦C for 24 h and total SM weight (mg L-1) was estimated according to the differential weighing method of Aminot and Chaussepied (1983). Transparency of the water (in meters) was measured using a Secchi Disk as described by Testa et al. (2019). Nutrients (i.e., NO2−, NO3−, NH4+, PO43−, and Si(OH)4) were analyzed with a Bran+Luebbe type 3 auto-analyzer and concentrations were determined colorimetrically, using a UV-visible (6400/6405) spectrophotometer. For Chlorophyll a (Chl a), two liters of seawater were filtered, through 200–250 µm pore size membrane filters to remove large particulate matter and zooplankton. The eluate was filtrated on GF/C 0.45 µm filters (WHATMAN®). Chl a was extracted with 10 ml of acetone 90% for 24 hours at 4 ◦C then the absorbance at two wavelengths (665 µm and 750 µm) were determined before and after acidification using 100 µl of HCL 0.3 M according to Aminot and Chaussepied, (1983). The identification and enumeration of phytoplankton (including dinoflagellate cysts) and the estimate of abundance of the different algal groups were made using an inverse phase microscope based on the Utermohl (1931) and Sournia (1987) methods. The identification of the various phytoplankton taxa was achieved through the determination keys of Trégouboff and Rose (1957), Huber-Pestalozzi (1968) and Balech (1988). Phytoplankton density (expressed in cells l-1) is determined using the following formula: N = (n*1000)/V N: Total number of phytoplankton cells contained in one liter n: number of cells V: Volume of sedimentation cuve (ml)

Citations bibliographiques

  1. Medhioub, W., Challouf, R., Laabir, M., Limayem, Y., Bchir, S., Slimeni, W., ... & Azaza, M. S. (2023). Potential to produce brown mussel integrated to a net-cage fish farm in a Mediterranean bay. Aquaculture Reports, 31, 101674. https://doi.org/10.1016/j.aqrep.2023.101674

Métadonnées additionnelles

Identifiants alternatifs 10.25607/7asluk
10.25607/tzbgyk
7d70a250-4507-4a60-b5c6-ef778ed38fa2
https://ipt.medobis.eu/resource?r=phytomonastirbay2018