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Cyanobacteria from freshwater lakes in the Azores Archipelago, Portugal

Cyanobacteria occurrence in lakes from the Azores Archipelago based on data from monitoring programs dated from 1996 to 2018.

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Default

Identification

Alternate Identifier

9d9d16b2-b6ad-433f-9baa-5354132896ac

Publication Date
2020-03-05
Title

Cyanobacteria from freshwater lakes in the Azores Archipelago, Portugal

Abstract

Cyanobacteria occurrence in lakes from the Azores Archipelago based on data from monitoring programs dated from 1996 to 2018.

Dataset Language

ENGLISH

 
Dataset Creator
  CIBIO-Açores - Rúben Luz (Researcher)

PORTUGAL

Dataset Creator
  FCT/UAC and CIBIO-Açores - Rita Cordeiro (Researcher)

PORTUGAL

Dataset Creator
  CIBIO-Açores - Joana Vilaverde (Researcher)

PORTUGAL

Dataset Creator
  CIBIO-Açores - Pedro Miguel Raposeiro (Post-doc Researcher)

PORTUGAL

Dataset Creator
  FCT/UAC - Amélia Fonseca (Assistant Professor)

PORTUGAL

Dataset Creator
  FCT/UAC and CIBIO-Açores - Vítor Gonçalves (Assistant Professor)

PORTUGAL

Metadata Provider
  FCT/UAC and CIBIO-Açores - Vítor Gonçalves (Assistant Professor)

PORTUGAL

Dataset Contact
  CIBIO-Açores - Rúben Luz (Researcher)

PORTUGAL

Dataset Contact
  FCT/UAC and CIBIO-Açores - Vítor Gonçalves (Assistant Professor)

PORTUGAL

Keywords (GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type.xml)
  • Cyanobacteria; Freshwater; Oceanic islands

Geographic Coverage

Geographic Description

Azores Archipelago, Portugal

Bounding Box

West Bounding Coordinate

-31.5

East Bounding Coordinate

-24.9

North Bounding Coordinate

39.8

South Bounding Coordinate

36.9

Temporal Coverage

Range of Dates

Begin Date

1996-12-16

End Date

2018-06-21

Taxonomic Coverage

General Taxonomic Coverage

Cyanobacteria were identified to genus or species level. Nomenclature was updated to the most recent taxonomic treatment.

Taxonomic Classification

Taxonomic Rank Name

Class

Taxonomic Rank Value

Cyanophyceae Schaffner

Common Name

Cyanophyceae

License Information

Intellectual Rights

This work is licensed under a

Creative Commons Attribution (CC-BY) 4.0 License

.

 
 

Additional Metadata

Metadata

GBIF Metadata Block

Date Stamp

2021-11-29T09:05:48Z

Citation

Luz R, Cordeiro R, Vilaverde J, Raposeiro P M, Fonseca A, Gonçalves V (2020). Cyanobacteria from freshwater lakes in the Azores Archipelago, Portugal. Version 1.5. Universidade dos Açores. Sampling event dataset https://doi.org/10.15468/gt8gpm accessed via GBIF.org on 2021-11-29.

Bibliography

Komárek, J. Anagnostidis, K. (1998). Süßwasserflora von Mitteleuropa: Cyanoprokaryota 1. Teil: Chroococcales. Spektrum Akademischer Verlag.

Komárek, J. Anagnostidis, K. (2008). Süßwasserflora von Mitteleuropa. Cyanoprokaryota 2. Teil: Oscillatoriales. Spektrum Akademischer Verlag.

Komárek, J. (2013). Süßwasserflora von Mitteleuropa: Cyanoprokaryota 3. Teil: Heterocytous Genera. Springer Spektrum

 

Project

• Project

Title

Cyanobacteria from freshwater lakes in the Azores Archipelago, Portugal

Personnel

Individual Name

Given Name

Vítor

Surname

Gonçalves

User ID

0000-0002-5737-296X

Role

PRINCIPAL_INVESTIGATOR

Personnel

Individual Name

Given Name

Rúben

Surname

Luz

User ID

0000-0001-8223-5943

Role

AUTHOR

Abstract

The data present here come from samples collected during several monitoring programs developed between 1996 and 2018 which aimed to characterize the biodiversity of inland aquatic ecosystems (lakes and streams) from the islands of Santa Maria, São Miguel, Terceira, Pico, São Jorge, Faial, Flores and Corvo (Azores, Portugal) and to assess the ecological status of these waterbodies using biological quality elements together with physico-chemical and hydromorphological quality elements. These programs contributed to improving the knowledge of cyanobacteria distribution in the Azores, the phytoplankton community structure in regional freshwater ecosystems and the main environmental drivers of aquatic communities in these ecosystems.

Funding

This research was funded by Secretaria Regional do Ambiente – Governo dos Açores (Contrato Nº 8/2003/DROTRH), Secretaria Regional do Ambiente e do Mar – Governo dos Açores (Ajuste Direto Nº 18/2009; Concurso Público Nº 3/2009; Contrato Nº 3/2011), Secretaria Regional dos Recursos Naturais – Governo dos Açores (Concurso Público 1/DRA/2014), Fundo Regional para a Ciência e Tecnologia – Governo dos Açores (M3.1.a/F/017/2015) and by FEDER funds through the Interreg-MAC 2014-2020 Programme under the REBECA project - Red de excelencia en biotecnología azul (algas) de la región macaronesia (MAC1.1a/060). This work was also funded by Portuguese National Funds, through FCT − Fundação para a Ciência e a Tecnologia, the European Union, QREN, FEDER, COMPETE, by funding the CIBIO/InBIO (project UID/BIA/50027/2013 and POCI-01-0145-FEDER-006821). This manuscript is also a contribution to the updated checklist of Azorean cyanobacteria that is being prepared within the newly launched project AZORESBIOPORTAL – PORBIOTA (ACORES-01-0145-FEDER-000072), financed by FEDER in 85% and by Azorean Public funds by 15% through Operational Program Azores 2020.

 
 

Methods

• Method

Method Step

Description

Cyanobacteria were identified according to Komárek and Anagnostidis (1998), Komárek and Anagnostidis (2008) and Komárek (2013).

Sampling

Study Extent

Phytoplankton samples from 24 lakes in Corvo (1), Flores (6), Pico (5), and São Miguel (12) islands in the Azores archipelago were collected seasonally between 1996 and 2018.

Sampling Description

Phytoplankton samples were taken using Van Dorn bottle and a 10 µm mesh plankton net at lake maximum depth point. In deep lakes (maximum depth > 10 m), until 2010 discrete samples were collected at surface, mid-water column depth and 1 m above sediment. After 2010 a combined sample of the euphotic zone was obtained by mixing discrete 1 L samples collected at 1 m intervals from the surface to the bottom of the euphotic zone. In shallow lakes (maximum depth < 10 m) a surface sample (integrated sample of the first meter of the water column) was collected. Net samples were obtained by a trawl from 1 m above the sediment to the water column surface. All samples were preserved with 1% Lugol solution (v/v) and taxa were identified to the lower taxonomical level possible using light microscopy. Preserved samples after analysis were deposited in Faculdade de Ciências e Tecnologia, Universidade dos Açores.