Zooplankton data from LTER MareChiara site in the Gulf of Naples, Mediterranean Sea, (Jan 1984-Dec 2024)

Enregistrements de données

Les données de cette ressource données d'échantillonnage ont été publiées sous forme dune Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant quensemble dun ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 1 295 enregistrements.

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

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 naffiche que les versions publiées de la ressource accessibles publiquement.

Comment citer

Les chercheurs doivent citer cette ressource comme suit:

Di Capua I, Marcucci A, Longobardi L (2026). Zooplankton data from LTER MareChiara site in the Gulf of Naples, Mediterranean Sea, (Jan 1984-Dec 2024). Version 1.1. Stazione Zoologica Anton Dohrn. Samplingevent dataset. https://ipt.gbif.it/resource?r=zoogon&v=1.1

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est Stazione Zoologica Anton Dohrn. Ce travail est sous licence Creative Commons Attribution Non Commercial (CC-BY-NC) 4.0.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède lUUID GBIF suivante : 614ee357-1329-4d5b-8bb8-b51910224382.  Stazione Zoologica Anton Dohrn publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec lapprobation du GBIF Italy.

Mots-clé

Samplingevent; zooplankton; LTER; Mediterranean; time series; copepoda; biodiversity; Naples Gulf; Digital Twin of the Ocean; Observation

Contacts

Couverture géographique

Fixed sampling station MareChiara (LTER-MC), Gulf of Naples, Italy, approximately 2 nautical miles offshore, along the ~75 m isobath, at the boundary between eutrophied coastal waters and oligotrophic Tyrrhenian waters.

Couverture taxonomique

Marine mesozooplankton collected in the Gulf of Naples. The dataset includes 418 taxa from multiple phyla. Copepoda is the most diverse group (335 taxa across 6 orders: Calanoida, Cyclopoida, Harpacticoida, Mormonilloida, Siphonostomatoida, Monstrilloida), with 149 species identified. Other groups include Appendicularia, Chaetognatha (Sagittoidea), Thaliacea, Hydrozoa, Siphonophora, Mollusca, Malacostraca, Echinodermata, Annelida (Polychaeta), Ctenophora, Bryozoa, and meroplanktonic larvae. Taxonomic identifications follow WoRMS nomenclature.

Couverture temporelle

Données sur le projet

The MareChiara Research Program was established in 1984 by the Stazione Zoologica Anton Dohrn (SZN) at a fixed station in the Gulf of Naples, Italy. Since 2006 the site has been part of the Long-Term Ecological Research network (LTER-MareChiara, LTER-MC; LTER EU-IT061). The ZOOGoN-40Y dataset integrates zooplankton data collected over four decades (1984–2024), supported by the DTO-BioFlow Financial Support to Third Parties grant under the European Union Horizon Europe Programme, aimed at establishing a sustained flow of biodiversity data to the Digital Twin of the Ocean.

Les personnes impliquées dans le projet:

Méthodes déchantillonnage

Vertical net tows from 50 m depth to the surface using standardized plankton nets.

Description des étapes de la méthode:

1. Zooplankton samples were collected at the fixed LTER station MareChiara (Gulf of Naples, 40.81°N, 14.25°E) aboard the Research Vessel R/V Vettoria. Vertical net tows were performed from 50 m depth to the surface at a retrieval speed of 0.7-1.0 m/s. Two net types were used: an Indian Ocean standard net (mouth area 1 m2, diameter 113 cm, mesh aperture 200 µm) from 26 January 1984 to 2 February 2016, and a WP2 standard net (mouth area 0.25 m2, diameter 57 cm, mesh aperture 200 µm) from 18 February 2016 onwards. Sampling frequency was fortnightly (1984–1991), weekly (1995–2016), and fortnightly to monthly (2016–2024). There is a gap in the time series between 1990 and 1 March 1995. From 2016, a calibrated flowmeter (Hydrobios and MF315) was used to measure filtered water volume; from 1984 to 2016, volume was calculated as V = A x L (net mouth area x tow length).
2. Two samples were collected at each sampling event: one for species composition and abundance analysis, one for whole mesozooplankton biomass. Samples for species analysis were preserved in seawater-formalin solution (approximately 4% formaldehyde buffered with sodium borate) from 1984 to 1998, and in 95% ethanol stored at 4°C from 1998 onwards.
3. Samples were pre-filtered through a 200 µm sieve. Sub-samples were obtained using a Stempel pipette (2-3 replicates of 2.5 or 5 mL), yielding a coefficient of variation of 7-9%. Organisms were counted in a Mini-Bogorov Chamber (10 mL) under a stereomicroscope (Leica M165C). At least 100 specimens of the most abundant taxonomic groups were counted (targeting +/-20% precision at 95% confidence). Rare species found in the remaining sample were noted qualitatively at 0.02 ind. m-3. Zooplankton abundance was expressed as individuals per cubic metre: n x k / V, where n = individuals counted in sub-sample, k = fraction of sample analyzed, V = volume filtered (m3).
4. Taxonomic names were harmonized against the World Register of Marine Species (WoRMS) using the worrms R package. It combines historical observations (1984–2015) with newly collected data (2016–2024), ensuring temporal continuity and dataset completeness. A new dataset (1984–2020) were migrated from local storage and digitized; data from 2021 onwards were collected via digital survey forms (KoBoToolbox). Processing and archiving were automated via the ZooGoN R package (v3.0.0). Quality control included: inter-operator verification of approximately 5% of samples; regular calibration of optical instruments; flowmeter verification (minimum 120 revolutions per tow) prior to each deployment. The dataset builds upon this legacy by integrating, curating, and harmonizing zooplankton community data collected over four decades at high taxonomic resolution, following a standardized taxonomic backbone (WoRMS).

Métadonnées additionnelles