A georeferenced dataset of living and sedimentary diatoms in Lake Maggiore

Occurrence
Latest version published by Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque on Jan 10, 2023 Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 4,124 records in English (115 KB) - Update frequency: irregular
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Description

This data set includes diatom information for i) Sedimentary and benthic diatoms and ii) Planktic diatoms separated in 2 files csv. Each row containing a record of a diatom taxon from a sample from Lake Maggiore. The columns report the updated taxon name, additional taxonomic information together with origin of the data, and habitat:

Sedimentary and benthic diatoms, containing 26 columns headered using DwC term name (http://rs.tdwg.org/dwc/terms/): occurrenceID, organismID, basisOfRecord, scientificName, Kingdom, Phylum, Subphylum, Class, Subclass, Order, Family, Genus, specificEpithet, infraspecificEpithet, taxonRank, eventID, eventDate, samplingProtocol, decimalLatitude, decimalLongitude, geodeticDatum, countryCode, locality, references, organismQuantity, organismQuantityType.

Planktic diatoms, containing 26 columns headered using DwC term name (http://rs.tdwg.org/dwc/terms/): occurrenceID, organismID, basisOfRecord, scientificName, Kingdom, Phylum, Subphylum, Class, Subclass, Order, Family, Genus, specificEpithet, infraspecificEpithet, taxonRank, eventID, eventDate, samplingProtocol, decimalLatitude, decimalLongitude, geodeticDatum, countryCode, locality, references, sampleSizeValue, sampleSizeUnit.

Given the continuous changes in biological nomenclature, all scientific names published were checked and updated to the currently accepted nomenclature, following the Algaebase: Listing of World’s Algae (Guiry and Guiry, 2021).<br> Taxon specialists: Simona Musazzi, Martina Austoni, Aldo Marchetto.

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 4,124 records.

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.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Musazzi S, Austoni M, Marchetto A (2023): A georeferenced dataset of living and sedimentary diatoms in Lake Maggiore. v1.9. Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque. Dataset/Occurrence. https://cloud.gbif.org/eca/resource?r=dataset_diatoms_lake_maggiore&v=1.9

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 44c71765-8ac3-4d90-a725-9643eea69f96.  Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Participant Node Managers Committee.

Keywords

Occurrence; Checklist; Diatoms; Lake Maggiore; Italy

Contacts

Simona Musazzi
  • Owner
  • Metadata Provider
  • Originator
  • Point Of Contact
  • Researcher
CNR-IRSA
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbano-Cusio-Ossola
IT
Martina Austoni
  • Point Of Contact
  • Researcher
CNR-IRSA
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbano-Cusio-Ossola
IT
Aldo Marchetto
  • Originator
  • Researcher, Director
CNR-IRSA
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbania
IT
Martina Austoni
  • Point Of Contact
  • Reseracher
CNR-IRSA
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbano-Cusio-Ossola
IT
Lyudmila Kamburska
  • Point Of Contact
  • Researcher
Consiglio Nazionale delle Ricerche (CNR), Istituto di Ricerca sulle Acque (IRSA); National Biodiversity Future Center (NBFC)
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbania
IT

Geographic Coverage

Study site: Lake Maggiore
Country: Italy
Biogeographic region: Continental (EEA, 2017)
Data are georeferenced according to WGS 84 datum.

Bounding Coordinates South West [45.664, 8.45], North East [46.275, 8.948]

Taxonomic Coverage

This data set covers organisms of the Phylum Bacillariophyta.
Taxonomic ranks: Data from subspecies to species, genus, family, order and class rank were included in the dataset.
Given the continuous changes in biological nomenclature, all scientific names published were checked and updated to the currently accepted nomenclature, following the Algaebase: Listing of World’s Algae (Guiry and Guiry, 2021).

Phylum Bacillariophyta

Temporal Coverage

Start Date / End Date 1984-04-23 / 2021-11-10

Project Data

All these investigations have been gathered in the frame of the research program funded by the International Commission for the Protection of Swiss-Italian Waters (CIPAIS). https://www.cipais.org/

Title Dataset of freshwater diatom occurrence in Lake Maggiore (Italy). GBIF freshwater
Identifier 2022_Diatom of Lake Maggiore
Funding Commission for the Protection of Swiss-Italian Waters (CIPAIS). https://www.cipais.org/
Study Area Description Lake Maggiore is a large (212.5 km2), deep (370 m), oligotrophic, subalpine lake, located in Northern Italy at an altitude of 194 m a.s.l.
Design Description Since 1974, CIPAIS has been promoting and contributing to the funding of research on the ecosystem evolution of Lakes Maggiore and Lugano, in relation to the environmental and climatic change. This activity carried out since 1978 in the face of five-year (or three-year from 2013) research programs ensured the systematicity for the acquisition of hydrological, meteorological and limnological data relating to lakes, their tributaries and hydrographic basins.

The personnel involved in the project:

Simona Musazzi
Martina Austoni
Aldo Marchetto

Sampling Methods

Habitat type: sediment, stones, macrophytes and water column.
Sedimetary diatoms: Sediment cores were taken using a gravity corer 63.5 mm in diameter. Each core was cut lengthways, sliced into 1-cm sections, and dated using either ^137Cs or ^210Pb. Diatoms were cleaned following Battarbee et al. (2001) and mounted with Naphrax. For each sample, at least 500 valves were identified and enumerated.
Benthic diatoms: Samples were taken by scraping five stones (usually cobbles and small boulders) and macrophytes following a European wide standardized sampling protocol (Manuals ICP WATERS, 2010). Samples were taken from the littoral zone, in 8 stations identified along the perimeter of the lake and in the Bolle di Magadino wetland, an area which is in direct hydraulic connection with the lake, as reported in Boggero et al (2022). Digestion followed standard procedures. For each sample, at least 400 valves were identified and enumerated.
Pelagic diatoms: Samples for phytoplankton were all collected at a central sampling site, corresponding to the point of lake’s maximum depth (370 m). Samples were always collected with an integrating bottle in the 0–20-m water layer, corresponding to the euphotic layer in Lake Maggiore. Counting followed CEN (2004) and Lund (1958).

Study Extent the dataset contains information on 4124 occurrences for 293 taxa. The occurrences were recorded during the years 1984-2021 The study area is 212.5 km^2.
Quality Control Quality control for geographic data: coordinates were collected by GPS during sampling and verified on topographic maps.
Quality control for taxonomic data: before publication of the data set, algal taxon spelling andauthorship were verified and updated using Algaebase: Listing of World’s Algae (Guiry and Guiry, 2021).

Method step description:

  1. The dataset was built based on 2 scientific papers and technical reports published in the frame of the research programs funded by the International Commission for the Protection of Swiss-Italian Waters (CIPAIS). Sampling procedures followed standardized sampling protocols (CEN, 2004; Manuals ICP WATERS, 2010). Algal taxon spelling and authorship were verified and uploaded using Algabase: Listing of World’s Algae (Guiry and Guiry, 2021). Diatom synonyms were merged when present. Data were gathered in a csv file reporting taxon name and additional informations about taxonomy, origin and habitat, following DwC term names (http://rs.tdwg.org/dwc/terms/).

Bibliographic Citations

  1. Boggero A, Zaupa S, Borgomaneiro G, Eckert E, Gariboldi L, Marchetto A, Musazzi S, Sabatino R, Paganelli D, Fontaneto D, (2021) (in press). Ricerca ed innovazione sul Lago Maggiore: indicatori di qualità nel continuum acqua - rive. Rapporto finale 2019-2021. Commissione Internazionale per la Protezione delle Acque Italo-Svizzere (Ed.): 220 pp.
  2. Marchetto A, Musazzi S, 2001. Comparison between sedimentary and living diatoms in Lago Maggiore (N. Italy): implications of using transfer functions. J. Limnol. 60:19-26. https://doi.org/10.4081/jlimnol.2001.19
  3. Morabito G, Oggioni A, Austoni M, 2012. Resource ratio and human impact: how diatom assemblages in Lake Maggiore responded to oligotrophication and climatic variability. Hydrobiologia. 698: 47–60. http://dx.doi.org/10.1007/s10750-012-1094-0
  4. Guiry MD, Guiry GM, 2021. AlgaeBase. World-wide electronic publication, National University ofIreland, Galway. https://www.algaebase.org
  5. CEN (2004). Water quality – Guidance standard for the routine analysis of phytoplankton abundance and composition using inverted microscopy (Utermöhl technique) CEN TC 230/WG 2/TG 3/N83, May 2004.
  6. ICP Waters Programme Centre 2010. ICP Waters Programme Manual 2010. NIVA SNO 6074-2010. ICP Waters report 105/2010.
  7. Lund JWG, Kipling C, Le Cren ED, 1958. The inverted microscope method of estimating algal number and the statistical basis of estimations by counting. Hydrobiologia 11: 143–170.

Additional Metadata

Alternative Identifiers 44c71765-8ac3-4d90-a725-9643eea69f96
https://cloud.gbif.org/eca/resource?r=dataset_diatoms_lake_maggiore