Description
This georeferenced dataset describes a 25-year (1986-2010) monitoring studies of phytoplankton abundance and biomass in Lake Candia, a eutrophic, natural, small, and shallow lake located in north-western Italy. The lake has been subjected to biomanipulation experiments aiming to improve its water quality since 1986 to 2010. It belongs to the national (LTER-Italy), European (LTER-Europe) and International (ILTER) long-term ecological research (LTER) networks. Making available this dataset also represents a contribution to the current activities of the LTER networks, aiming at making accessible the time series of the LTER sites, in order to reconstruct trends and dynamics and to identify and compare reliable trends and can be useful for further ecological and biodiversity studies on small and shallow lakes. The interest of the dataset is also remarkable because Lake Candia belongs to the national (LTER-Italy), European (LTER-Europe) and International (ILTER) long-term ecological research (LTER) networks, where the long-term site-based monitoring approach and the site comparison are important to determine spatial and temporal trends and changes.
Enregistrements de données
Les données de cette ressource occurrence 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 10 120 enregistrements.
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:
Oggioni A, Ruggiu D, Morabito G, Pugnetti A, Sparber K, Cozza R, Panzani P, Ruffoni T, Austoni M (2022): A long-term (1986-2010) phytoplankton dataset from the LTER-Italy site Lake Candia. v1.7. Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque. Dataset/Occurrence. https://cloud.gbif.org/eca/resource?r=2022_lake_candia_phytoplankton&v=1.7
Droits
Les chercheurs doivent respecter la déclaration de droits suivante:
L’éditeur et détenteur des droits de cette ressource est Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque. 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 : d8d344af-f873-47b4-b2a0-6054120f5a01. Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du Participant Node Managers Committee.
Mots-clé
Occurrence; Darwin Core; GBIF; phytoplankton; LTER-Italy; Lake Candia
Contacts
- Fournisseur Des Métadonnées ●
- Créateur ●
- Personne De Contact
- Researcher
- Via A. Corti 12
https://orcid.org/0000-0002-7997-219X
- Créateur
- Créateur
- Créateur
- Researcher
- Arsenale - Tesa 104, Castello 2737/F
- Créateur
- Via Amba Alagi 5
- Créateur
- Créateur
- Créateur
- Personne De Contact
- Researcher
- Personne De Contact
- Reseacher
- Largo Vittorio Tonolli 50 CNR-IRSA
- Personne De Contact
- Largo Vittorio Tonolli 50 CNR-IRSA
Couverture géographique
Lake Candia belongs to the Italian, European and International Long-Term Ecological Research (LTER) Networks: Candia (https://deims.org/c7fe4203-24b1-4d11-a573-99b99204fede). Data are georeferenced according to WGS 84 datum (EPSG:4326, https://epsg.io/4326.wkt).
Habitat type: Pelagic of lake, water column.
Biogeographic region: Within the Palearctic realm, according to the definitions of the European Environmental Agency (2017), the dataset covers the Alpine European biogeographical regions.
Country: Italy.
| Enveloppe géographique | Sud Ouest [45,319, 7,898], Nord Est [45,333, 7,922] |
|---|
Couverture taxonomique
General description: dataset covers phytoplankton assemblages and counts. Phytoplankton counting are based on inverted microscopy following Uthermöl method (Uthermöl, 1958) and biomass of each taxa was estimated from abundance data and original measurements of cell volume (Hillebrand et al., 1999; Sun and Liu, 2003). The dataset covers Cyanobacteria with 1660 occurrences; Plantae with 1302 occurrences (28.1% of Plantae occurrences) of Charophyta and 3324 occurrences (71.8%) of Chlorophyta; Protozoa (426 occurrences); and Chromista with Ochrophyta (1736 occurrences), Cryptophyta (1213 occurrences), Myzozoa (345 occurrences), and Haptophyta (108 occurrences).
| Phylum | Cyanobacteria |
|---|---|
| Class | Bacillariophyceae |
Couverture temporelle
| Date de début / Date de fin | 1986-03-06 / 2010-12-14 |
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Méthodes d'échantillonnage
Phytoplankton data were collected monthly from 1986 to 2010, at the point of lake maximum depth (7.7 m) as integrated samples of the euphotic water column.
Phytoplankton determinations were carried out on subsamples of the integrated sample preserved in acetic Lugol’s solution. Phytoplankton organisms were counted using the Utermöhl technique (Utermöhl, 1958), classifying the taxa to the species level, whenever possible, using a Zeiss Axiovert 10 inverted microscope at 200x and 400x until 400 cells for the most important taxa were counted. Biomass of each taxa in the sample was estimated from abundance data and original measurements of cell volume (Smayda, 1978; Hillebrand et al., 1999; Sun and Liu, 2003). Finally, total biovolume was calculated from the sum of the biovolumes of each taxon in the sample (cell number x specific cell volume).
All records are validated to the currently accepted nomenclature using the taxonomic backbone of GBIF, Algaebase: Listing of World’s Algae (Guiry and Guiry, 2022), and World Register of Marine Species WoRMS (Ahyong et al., 2022). Life Science Identifiers (LSIDs) are used to identify univocally the taxon and to facilitate data integration and interoperability.
Taxon specialists: Martina Austoni, Radiana Cozza, Giuseppe Morabito, Alessandro Oggioni, Pierisa Panzani, Alessandra Pugnetti, Teresa Ruffoni, Delio Ruggiu, Karin Sparber.
| Etendue de l'étude | Phytoplankton integrated samples in the whole euphotic zone were gathered approximately monthly, at the station of lake maximum depth (7.7 m). They were then analysed in the lab through the inverted microscope, estimating abundance and biovolume of each taxa from March 1986 to December 2010. A total of 266 sampling events, from March 1986 to December 2010, with 10120 georeferenced occurrence records at the species level or higher rank have been uploaded to the GBIF repository |
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| Contrôle qualité | Quality control for geographic data: Reliability of coordinates was checked with open source Geographic Information System (Quantum GIS – http://www.qgis.org/) to identify the correctness of sampling station position. Geographic coordinate format and the absence of anomalous ASCII characters in the dataset were also double checked. Quality control for taxonomic data: Nomenclature validation and cleaning were based on the global algal database AlgaeBase (Guiry and Guiry, 2022), World Register of Marine Species WoRMS (Ahyong et al., 2022) and on the taxonomic backbone of GBIF. To check the taxonomic classification and to fill the information about taxa, taxon rank, occurrences status, and taxonomic status we used ReLTER R package (Oggioni, et al. 2022). |
Description des étapes de la méthode:
- Dataset includes 10120 georeferenced occurrences related to 545 taxa. During this 25-year period the lake underwent profound modifications mainly related to the lake biomanipulation activities addressed to the management of aquatic macrophyte and to the evolution of the trophic condition. Making available this dataset represents also a contribution to the current activities of the LTER networks, aiming on accessibility of the time series of the LTER sites, in order to reconstruct trends and dynamics and to identify and compare reliable trends.
- The dataset was structured based on the Darwin Core standard (DwC, Wieczorek et al., 2012), with each row containing a record of the occurrence of a taxon from a sample. The columns report taxonomical (e.g. scientificName, scientificNameID, taxonRank), geographic (e.g. decimalLatitude, decimalLongitude, geodeticDatum) information, along with density and biovolume for each taxon recognised in the sample.
Citations bibliographiques
- AAhyong S et al., 2022. World Register of Marine Species. Available from https://www.marinespecies.org at VLIZ. Accessed 2022-12-13. doi:10.14284/170.
- Guiry MD, Guiry GM, 2022. AlgaeBase. World-wide electronic publication, National University of Ireland, Galway. https://www.algaebase.org. Accessed on 2022-12-01.
- Oggioni A, Silver M, Ranghetti L, Tagliolato P 2022. ropensci/ReLTER: ReLTER v1.1.0.
- Utermöhl H, 1958. Zur Vervollkommung der quantitativen Phytoplankton-Methodik, Mitt. Int. Ver. Limnol., 9, 38.
Métadonnées additionnelles
| Identifiants alternatifs | d8d344af-f873-47b4-b2a0-6054120f5a01 |
|---|---|
| https://cloud.gbif.org/eca/resource?r=2022_lake_candia_phytoplankton |