Descripción
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.
Registros
Los datos en este recurso de registros biológicos han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 10.120 registros.
Este IPT archiva los datos y, por lo tanto, sirve como repositorio de datos. Los datos y los metadatos del recurso están disponibles para su descarga en la sección descargas. La tabla versiones enumera otras versiones del recurso que se han puesto a disposición del público y permite seguir los cambios realizados en el recurso a lo largo del tiempo.
Versiones
La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.
¿Cómo referenciar?
Los usuarios deben citar este trabajo de la siguiente manera:
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
Derechos
Los usuarios deben respetar los siguientes derechos de uso:
El publicador y propietario de los derechos de este trabajo es Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque. Esta obra está bajo una licencia Creative Commons de Atribución/Reconocimiento (CC-BY 4.0).
Registro GBIF
Este recurso ha sido registrado en GBIF con el siguiente UUID: d8d344af-f873-47b4-b2a0-6054120f5a01. Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque publica este recurso y está registrado en GBIF como un publicador de datos avalado por Participant Node Managers Committee.
Palabras clave
Occurrence; Darwin Core; GBIF; phytoplankton; LTER-Italy; Lake Candia
Contactos
- Proveedor De Los Metadatos ●
- Originador ●
- Punto De Contacto
- Researcher
- Via A. Corti 12
https://orcid.org/0000-0002-7997-219X
- Originador
- Originador
- Originador
- Researcher
- Arsenale - Tesa 104, Castello 2737/F
- Originador
- Via Amba Alagi 5
- Originador
- Originador
- Originador
- Punto De Contacto
- Researcher
- Punto De Contacto
- Reseacher
- Largo Vittorio Tonolli 50 CNR-IRSA
- Punto De Contacto
- Largo Vittorio Tonolli 50 CNR-IRSA
Cobertura geográfica
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.
| Coordenadas límite | Latitud Mínima Longitud Mínima [45,319, 7,898], Latitud Máxima Longitud Máxima [45,333, 7,922] |
|---|
Cobertura taxonómica
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).
| Filo | Cyanobacteria |
|---|---|
| Class | Bacillariophyceae |
Cobertura temporal
| Fecha Inicial / Fecha Final | 1986-03-06 / 2010-12-14 |
|---|
Métodos de muestreo
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.
| Área de Estudio | 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 |
|---|---|
| Control de Calidad | 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). |
Descripción de la metodología paso a paso:
- 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.
Referencias bibliográficas
- 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.
Metadatos adicionales
| Identificadores alternativos | d8d344af-f873-47b4-b2a0-6054120f5a01 |
|---|---|
| https://cloud.gbif.org/eca/resource?r=2022_lake_candia_phytoplankton |