A georeferenced dataset of living and sedimentary diatoms in Lake Maggiore

Registros de Dados

Os dados deste recurso de ocorrência 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 4.124 registros.

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:

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

Direitos

Pesquisadores devem respeitar a seguinte declaração de direitos:

O editor e o detentor dos direitos deste trabalho é 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

Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: 44c71765-8ac3-4d90-a725-9643eea69f96.  Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por Participant Node Managers Committee.

Palavras-chave

Occurrence; Checklist; Diatoms; Lake Maggiore; Italy

Contatos

Cobertura Geográfica

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

Cobertura Taxonômica

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).

Cobertura Temporal

Dados Sobre o Projeto

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/

O pessoal envolvido no projeto:

Métodos de Amostragem

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).

Descrição dos passos do método:

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/).

Citações bibliográficas

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.

Metadados Adicionais