OCCURRENCE DATASET

SOMBASE – Southern Ocean mollusc database: a tool for biogeographic analysis in diversity and evolution

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Abstract

Databases and Geographical Information Systems are becoming increasingly popular tools for biogeographic analysis. The reliability of the analysis depends on the accuracy of the entered data and the ability to add changes in systematics and taxonomy. The main aim of the Southern Ocean Mollusc Database (SOMBASE) project is to set up a database linked with a GIS and user-friendly front end. This system allows for the inclusion of other taxa in the future. Currently the database consists of records for 950 shelled gastropod and 136 bivalve species and 2800 sites from the Southern Ocean.The database contains fields including: 1) Taxonomic authorship, synonyms, higher level classifications, diagnostic morphological characters, and ecological features; 2) Distributional information including substrate and depth; 3) Bibliographic information.The maps can display selected sites based on any query of any field or combination of fields in the database. An online version of the database is available with distribution maps for all taxonomic levels (www.antarctica.ac.uk/SOMBASE). SOMBASE is a contribution to the Biogeiegraphic Atlas of the Southern Ocean


14,322 occurrence records



Keywords

Thesaurus
Keywords
Occurrence

Thesaurus
Ancillary Keywords
Keywords
ANTARCTIC, BIOGEOGRAPHY, BIVALVIA, DATABASE, DISTRIBUTION, ECOLOGY, GASTROPODA, MOLLUSC, SOUTHERN OCEAN, TAXONOMY

Thesaurus
Global Change Master Directory (GCMD) Keywords
Keywords
Antarctica, Bivalves, Gastropods, Mollusks, Polar, Southern Ocean

Contributors

Anton Van de Putte

metadataProvider associatedParty (user) 
antonarctica(a)gmail.com

Huw J Griffiths

contact creator 
British Antarctic Survey

Katrin Linse

creator 
British Antarctic Survey

J.Alistair Crame

creator 
British Antarctic Survey

Citation

Griffiths H J, Linse K, Crame J, Van de Putte A (2019). SOMBASE – Southern Ocean mollusc database: a tool for biogeographic analysis in diversity and evolution. British Antarctic Survey. Occurrence dataset https://doi.org/10.15468/i1z12n


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