Data Papers
Vol. 82 No. s1 (2023): Georeferenced freshwater biodiversity data
https://doi.org/10.4081/jlimnol.2023.2122

A long-term (1986-2010) phytoplankton dataset from the LTER-Italy site Lake Candia

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Received: 22 December 2022
Accepted: 21 February 2023
Published: 2 March 2023
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Darwin Core, GBIF, phytoplankton, LTER-Italy, Lake Candia

Authors

Alessandro Oggioni
alessandro.oggioni@cnr.it
https://orcid.org/0000-0002-7997-219X
National Research Council, Institute for Electromagnetic Sensing of the Environment (CNR-IREA), Milan, Italy.
Delio Ruggiu
National Research Council, Water Research Institute (CNR-IRSA), Verbania Pallanza, Italy.
Giuseppe Morabito
https://orcid.org/0000-0002-8223-3259
Alessandra Pugnetti
https://orcid.org/0000-0002-7346-6675
National Research Council, Institute of Marine Sciences (CNR-ISMAR), Venice, Italy.
Karin Sparber
https://orcid.org/0000-0002-7542-7071
Provincia di Bolzano, Agenzia Provinciale per l’Ambiente, Bolzano, Italy.
Radiana Cozza
Department of Biology, Ecology and Earth Science (DIBEST), University of Calabria, Rende (CS), Italy.
Pierisa Panzani
National Research Council, Water Research Institute (CNR-IRSA), Verbania Pallanza, Italy.
Teresa Ruffoni
National Research Council, Water Research Institute (CNR-IRSA), Verbania Pallanza, Italy.
Martina Austoni
https://orcid.org/0000-0002-8214-1442
National Research Council, Water Research Institute (CNR-IRSA), Verbania Pallanza, Italy.

In this paper we describe a 25-year (1986-2010) dataset of phytoplankton cell density abundance and biovolume in Lake Candia, a eutrophic, natural, small, and shallow lake located in north-western Italy, with data that are made available through the GBIF repository. The lake belongs to the national (LTER-Italy), European (LTER-Europe) and International (ILTER) long-term ecological research (LTER) networks. Phytoplankton samples were collected approximately monthly at the maximum depth station of the lake (7.7 m) and analysed with the inverted microscope, estimating both the cell density abundance and biovolume of each taxon. The dataset includes 10,120 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 this dataset available represents a contribution to the current activities of the LTER networks for defining and reconstructing spatial and temporal dynamics and to identify and compare reliable trends.

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How to Cite



“A Long-Term (1986-2010) Phytoplankton Dataset from the LTER-Italy Site Lake Candia”. 2023. Journal of Limnology 82 (s1). https://doi.org/10.4081/jlimnol.2023.2122.
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