Atlas of Freshwater Bivalves 2007

This dataset is based on the Atlas of Freshwater Bivalves in Mainland Portugal published by ICNF in 2006. It presents occurrence data of native and exotic freshwater bivalves on water bodies in hundreds of sampling stations at Mainland Portugal, from 2001 to 2004. There are records of 12 native species and one exotic with confirmed occurrence in Portugal, namely Corbicula fluminea (O. F. Müller, 1774).

The project #34;Atlas of freshwater bivalves in mainland Portugal#34; was coordinated by Joaquim Reis and involved the participation of several individual and institutional collaborators.

Default

Identification

Alternate Identifier

49f3138e-28c2-4a74-8950-cf8a0ecc1840

Publication Date
2021-08-30
Title

Atlas of Freshwater Bivalves 2007

Abstract

This dataset is based on the Atlas of Freshwater Bivalves in Mainland Portugal published by ICNF in 2006. It presents occurrence data of native and exotic freshwater bivalves on water bodies in hundreds of sampling stations at Mainland Portugal, from 2001 to 2004. There are records of 12 native species and one exotic with confirmed occurrence in Portugal, namely Corbicula fluminea (O. F. Müller, 1774).

The project #34;Atlas of freshwater bivalves in mainland Portugal#34; was coordinated by Joaquim Reis and involved the participation of several individual and institutional collaborators.

Dataset Language

PORTUGUESE

 
Dataset Creator
  MARE - ULisboa - Joaquim Reis (Coordinator)

Faculdade de Ciências da Universidade de Lisboa

,

Lisboa

,

Lisboa

,

1749-016

,

PORTUGAL

Metadata Provider
Dataset Contact
  ICNF - Teresa Pimenta (Information System Senior Officer)

Av. 24 de Julho, 12, Torre Nascente, Piso 4

,

Lisboa

,

Lisboa

,

1249-300

,

PORTUGAL

Dataset Contact
  ICNF - Mário Reis (Conservation and Monitoring Senior Officer)

Av. 24 de Julho, 12, Torre Nascente, Piso 4

,

Lisboa

,

Lisboa

,

1249-300

,

PORTUGAL

Keywords (GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type_2015-07-10.xml)

  • Occurrence

Keywords (N/A)

  • Atlas

  • Bivalvia

  • Mainland Portugal

  • Portuguese river basins

Keywords (GBIF Dataset Subtype Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_subtype.xml)

  • Observation

Geographic Coverage

Geographic Description

Mainland Portugal. There is also some cross-border data, with records in Spain.

Bounding Box

West Bounding Coordinate

-9.347

East Bounding Coordinate

-6.27

North Bounding Coordinate

42.141

South Bounding Coordinate

37.143

Temporal Coverage

Range of Dates

Begin Date
End Date

Taxonomic Coverage

General Taxonomic Coverage

The Atlas of Bivalves recorded data of 13 freshwater species of Bivalvia in 03 orders and 04 families. All the bivalves were identified up to the species level.

Taxonomic Classification

Taxonomic Rank Name

Kingdom

Taxonomic Rank Value

Animalia

Taxonomic Classification

Taxonomic Rank Name

Phylum

Taxonomic Rank Value

Mollusca

Taxonomic Classification

Taxonomic Rank Name

Class

Taxonomic Rank Value

Bivalvia

Taxonomic Classification

Taxonomic Rank Name

Order

Taxonomic Rank Value

Unionida

Taxonomic Classification

Taxonomic Rank Name

Order

Taxonomic Rank Value

Venerida

Taxonomic Classification

Taxonomic Rank Name

Order

Taxonomic Rank Value

Sphaeriida

Taxonomic Classification

Taxonomic Rank Name

Family

Taxonomic Rank Value

Unionidae

Taxonomic Classification

Taxonomic Rank Name

Family

Taxonomic Rank Value

Cyrenidae

Taxonomic Classification

Taxonomic Rank Name

Family

Taxonomic Rank Value

Margaritiferidae

Taxonomic Classification

Taxonomic Rank Name

Family

Taxonomic Rank Value

Sphaeriidae

Taxonomic Classification

Taxonomic Rank Name

Species

Taxonomic Rank Value

Anodonta anatina

Common Name

Duck mussel

Taxonomic Classification

Taxonomic Rank Name

Species

Taxonomic Rank Value

Anodonta cygnea

Common Name

Swan mussel

Taxonomic Classification

Taxonomic Rank Name

Species

Taxonomic Rank Value

Potomida littoralis

Taxonomic Classification

Taxonomic Rank Name

Species

Taxonomic Rank Value

Unio delphinus

Taxonomic Classification

Taxonomic Rank Name

Species

Taxonomic Rank Value

Unio tumidiformis

Taxonomic Classification

Taxonomic Rank Name

Species

Taxonomic Rank Value

Margaritifera margaritifera

Common Name

Freshwater pearl mussel

Taxonomic Classification

Taxonomic Rank Name

Species

Taxonomic Rank Value

Pisidium casertanum

Common Name

Ubiquitous peaclam

Taxonomic Classification

Taxonomic Rank Name

Species

Taxonomic Rank Value

Pisidium milium

Common Name

Quadrangular pillclam

Taxonomic Classification

Taxonomic Rank Name

Species

Taxonomic Rank Value

Pisidium nitidum

Common Name

Shining pea mussel

Taxonomic Classification

Taxonomic Rank Name

Species

Taxonomic Rank Value

Pisidium personatum

Common Name

Red-crusted pea mussel

Taxonomic Classification

Taxonomic Rank Name

Species

Taxonomic Rank Value

Pisidium subtruncatum

Common Name

Short-end Peaclam

Taxonomic Classification

Taxonomic Rank Name

Species

Taxonomic Rank Value

Musculium lacustre

Common Name

Lake Orb-Mussel

Taxonomic Classification

Taxonomic Rank Name

Species

Taxonomic Rank Value

Corbicula fluminea

Common Name

Asian clam

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

2021-11-29T15:52:54Z

Citation

Reis J, Breves A (2021). Atlas of Freshwater Bivalves 2007. ICNF - Instituto da Conservação da Natureza e das Florestas. Occurrence dataset https://doi.org/10.15468/myk4p9 accessed via GBIF.org on 2021-11-29.

Bibliography

Reis, Joaquim (coord.) 2006. Atlas dos bivalves de água doce em Portugal continental. Instituto da Conservação da Natureza. Lisboa. 130 pp.

Physical

Object Name

Metadados

Character Encoding

UTF-8

Data Format

Externally Defined Format

Format Name

html

Distribution

Online

URL
https://sig.icnf.pt/portal/sharing/rest/content/items/66dc9514332647b986c00f5adfff32e9/info/metadata/metadata.xml?format=defaultoutput=html

Physical

Object Name

Shapefile

Character Encoding

UTF-8

Data Format

Externally Defined Format

Format Name

shapefile

Distribution

Online

URL
http://si.icnf.pt/shp/atlas_bivalves_2007

Physical

Object Name

KML

Character Encoding

UTF-8

Data Format

Externally Defined Format

Format Name

kml

Distribution

Online

URL
http://si.icnf.pt/kml/atlas_bivalves_2007

Physical

Object Name

WFS

Character Encoding

UTF-8

Data Format

Externally Defined Format

Format Name

shapefile

Distribution

Online

URL
http://si.icnf.pt/wfs/atlas_bivalves_2007

Physical

Object Name

WMS

Character Encoding

UTF-8

Data Format

Externally Defined Format

Format Name

wms

Distribution

Online

URL
http://si.icnf.pt/wms/atlas_bivalves_2007

Physical

Object Name

Metadados

Character Encoding

UTF-8

Data Format

Externally Defined Format

Format Name

html

Distribution

Online

URL
https://geocatalogo.icnf.pt/metadados/atlas_bivalves_2007.html
Logo URL
http://www2.icnf.pt/portal/logo.png
 

Project

• Project

Title

Atlas dos bivalves de água doce em Portugal continental

Personnel

Individual Name

Given Name

Teresa

Surname

Pimenta

Role

POINT_OF_CONTACT

Abstract

The project “Atlas dos bivalves de água doce em Portugal continental” aimed to assess the distribution of freshwater bivalves in mainland Portugal. The distribution is related to 13 species, being 12 natives and one exotic in the country.

Funding

This work was co-fund by ICNF, I.P. and the European Union, through the Environment Operational Programme (application 1.1/00021– Documentos Estruturantes da Conservação da Natureza e da Biodiversidade). The preparation of this resource for publication through GBIF was supported by Project PORBIOTA—Portuguese E-Infrastructure for Information and Research on Biodiversity (POCI-01-0145-FEDER-022127), under the Operational Thematic Program for Competitiveness and Internationalization (POCI), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (FEDER) and FCT.

 
 

Methods

• Method

Method Step

Description

The dataset presents information of the occurrence status (presence or absence) of the species in each location. There are also classes of abundance for these species, as following: absent = value 0; rare = value 1; common = value 2; abundant = value 3; very abundant = value 4. In some cases, the presence of a species was recorded in a locality, however was not possible to assess its abundance.

Aggregation of original data from several sources (see above) into a purpose specific relational database built for the project. For details, see Reis (2006).

The preparation of the dataset for GBIF publication used as source the geographic layer in shapefile format. The data layer was a vector layer containing points. The following steps were performed:

- Conversion of the spatial layer to geographic coordinates using WGS84 as reference system;

- Used the points to determine the locations based on the Carta Administrativa Oficial de Portugal 2020 (CAOP2020) and OpenStreetMaps;

- Exported to csv, unpivot the data in the table and reinterpreted attributes matching to DwC standard terms.

Sampling

Study Extent

The geographic area considered for the study was Mainland Portugal. Since there is some cross-border data, some registers were made in Spain.

Sampling Description

The data was obtained for the elaboration of the Atlas, with the survey of the species distribution at Mainland Portugal. At each location the survey of the freshwater bivalves were performed using specific techniques for detecting their presence or absence. Whenever possible, the abundance of each species was assessed. Data collection of the occurrence was also based on previous publications. All data was inserted in a specific database build for the project.

qualityControl

Description

All initial data was inserted in a specific relational database built specifically for the project, which implemented several quality control methods. In the preparation of the dataset for GBIF publication, data consistency was verified using cluster algorithms using OpenRefine.