Data/hora: 01/06/2024 19:12:45

Provedor de dados: 	5	
País: 	France	
Título: 	A global database on freshwater fish species occurrence in drainage basins	
Autores: 	Tedesco, Pablo A; Beauchard, Olivier; Bigorne, Remy; Blanchet, Simon; Buisson, Laetitia; Conti, Lorenza; Cornu, Jean-francois; Dias, Murilo S.; Grenouillet, Gael; Hugueny, Bernard; Jezequel, Celine; Leprieur, Fabien; Brosse, Sebastien; Oberdorff, Thierry.	
Data: 	2017-10	
Ano: 	2017	
Resumo: 	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.	
Tipo: 	Text	
Idioma: 	Inglês	
Identificador: 	https://archimer.ifremer.fr/doc/00405/51634/74670.pdf

https://archimer.ifremer.fr/doc/00405/51634/74671.zip

DOI:10.1038/sdata.2017.141

https://archimer.ifremer.fr/doc/00405/51634/	
Editor: 	Nature Publishing Group	
Relação: 	info:eu-repo/grantAgreement/EC/FP7/226874/EU//BIOFRESH	
Formato: 	application/pdf	
Fonte: 	Scientific Data (2052-4463) (Nature Publishing Group), 2017-10 , Vol. 4 , N. 170141 , P. 1-6	
Fonte: 	The Author(s) 2017. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless ...

info:eu-repo/semantics/openAccess

restricted use