Descrição
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.
Registros de Dados
Os dados deste recurso de evento de amostragem foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 64 registros.
Também existem 2 tabelas de dados de extensão. Um registro de extensão fornece informações adicionais sobre um registro do núcleo. O número de registros em cada tabela de dados de extensão é ilustrado abaixo.
This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.
Versões
A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.
Como citar
Pesquisadores deveriam citar esta obra da seguinte maneira:
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.
Direitos
Pesquisadores devem respeitar a seguinte declaração de direitos:
O editor e o detentor dos direitos deste trabalho é Hellenic Center for Marine Research. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF Registration
Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: 7d70a250-4507-4a60-b5c6-ef778ed38fa2. Hellenic Center for Marine Research publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por Ocean Biodiversity Information System.
Palavras-chave
Samplingevent; Phytoplankton; Diversity; Species composition; Toxic microalgae; Aquaculture; Mediterranean Sea
Contatos
- Provedor Dos Metadados ●
- Originador ●
- Ponto De Contato
https://orcid.org/0000-0002-1424-1716
- Originador ●
- Ponto De Contato
- Originador
- Custódio De Dados
- Custódio De Dados
Cobertura Geográfica
Sampling took place in the Bay of Monastir (Mediterranean Sea, Tunisia)
| Coordenadas delimitadoras | Sul Oeste [35,617, 10,803], Norte Leste [35,826, 11,121] |
|---|
Cobertura Taxonômica
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.
Cobertura Temporal
| Data Inicial / Data final | 2018-02-20 / 2018-10-26 |
|---|
Dados Sobre o Projeto
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.
| Título | Study on the possibilities for exploitation and farming of mussels (Mytilus galloprovincialis and Perna perna) off the coast of Monastir (Tunisia) |
|---|---|
| Financiamento | This work was supported by the National Institute of Marine Sciences and Technologies (INSTM) |
| Descrição da Área de Estudo | Mediterranean Sea |
| Descrição do 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). |
Métodos de Amostragem
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.
| Área de Estudo | 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. |
|---|---|
| Controle de Qualidade | 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. |
Descrição dos passos do método:
- 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)
Citações bibliográficas
- 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
Metadados Adicionais
| Identificadores alternativos | 10.25607/7asluk |
|---|---|
| 10.25607/tzbgyk | |
| 7d70a250-4507-4a60-b5c6-ef778ed38fa2 | |
| https://ipt.medobis.eu/resource?r=phytomonastirbay2018 |