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A global database on freshwater fish species occurrence in drainage basins
- Source :
- Scientific Data, Scientific Data, Nature Publishing Group, 2017, 4, pp.170141. ⟨10.1038/sdata.2017.141⟩, Scientific Data (2052-4463) (Nature Publishing Group), 2017-10, Vol. 4, N. 170141, P. 1-6, Scientific Data, 2017, 4, pp.170141. ⟨10.1038/sdata.2017.141⟩
- Publication Year :
- 2017
-
Abstract
- International audience; A growing interest is devoted to global-scale approaches in ecology and evolution that examine patterns and determinants of species diversity and the threats resulting from global change. These analyses obviously require global datasets of species distribution. Freshwater systems house a disproportionately high fraction of the global fish diversity considering the small proportion of the earth's surface that they occupy, and are one of the most threatened habitats on Earth. Here we provide complete species lists for 3119 drainage basins covering more than 80% of the Earth surface using 14953 fish species inhabiting permanently or occasionally freshwater systems. The database results from an extensive survey of native and non-native freshwater fish species distribution based on 1436 published papers, books, grey literature and web-based sources. Alone or in combination with further datasets on species biological and ecological characteristics and their evolutionary history, this database represents a highly valuable source of information for further studies on freshwater macroecology, macroevolution, biogeography and conservation.
- Subjects :
- Statistics and Probability
Data Descriptor
Databases, Factual
homogenization
Fresh Water
Library and Information Sciences
Education
diversity
[SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems
worlds
Animals
patterns
Macroecology
Biology
Ecosystem
Computer. Automation
Fishes
distinctiveness
Biodiversity
Computer Science Applications
Biogeography
Freshwater ecology
Statistics, Probability and Uncertainty
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
faunas
Engineering sciences. Technology
Information Systems
Subjects
Details
- Language :
- English
- ISSN :
- 20524463
- Database :
- OpenAIRE
- Journal :
- Scientific Data
- Accession number :
- edsair.pmid.dedup....e341a3ed1d7103fe9823b79dc94a56c1