| Registro completo |
| Provedor de dados: |
ArchiMer
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| País: |
France
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| Título: |
A global database for metacommunity ecology, integrating species, traits, environment and space
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| Autores: |
Jeliazkov, Alienor
Mijatovic, Darko
Chantepie, Stéphane
Andrew, Nigel
Arlettaz, Raphaël
Barbaro, Luc
Barsoum, Nadia
Bartonova, Alena
Belskaya, Elena
Bonada, Núria
Brind'Amour, Anik
Carvalho, Rodrigo
Castro, Helena
Chmura, Damian
Choler, Philippe
Chong-seng, Karen
Cleary, Daniel
Cormont, Anouk
Cornwell, William
De Campos, Ramiro
De Voogd, Nicole
Doledec, Sylvain
Drew, Joshua
Dziock, Frank
Eallonardo, Anthony
Edgar, Melanie J.
Farneda, Fábio
Hernandez, Domingo Flores
Frenette-dussault, Cédric
Fried, Guillaume
Gallardo, Belinda
Gibb, Heloise
Gonçalves-souza, Thiago
Higuti, Janet
Humbert, Jean-yves
Krasnov, Boris R.
Saux, Eric Le
Lindo, Zoe
Lopez-baucells, Adria
Lowe, Elizabeth
Marteinsdottir, Bryndis
Martens, Koen
Meffert, Peter
Mellado-díaz, Andres
Menz, Myles H. M.
Meyer, Christoph F. J.
Miranda, Julia Ramos
Mouillot, David
Ossola, Alessandro
Pakeman, Robin
Pavoine, Sandrine
Pekin, Burak
Pino, Joan
Pocheville, Arnaud
Pomati, Francesco
Poschlod, Peter
Prentice, Honor C.
Purschke, Oliver
Raevel, Valerie
Reitalu, Triin
Renema, Willem
Ribera, Ignacio
Robinson, Natalie
Robroek, Bjorn
Rocha, Ricardo
Shieh, Sen-her
Spake, Rebecca
Staniaszek-kik, Monika
Stanko, Michal
Tejerina-garro, Francisco Leonardo
Braak, Cajo Ter
Urban, Mark C.
Klink, Roel Van
Villéger, Sébastien
Wegman, Ruut
Westgate, Martin J.
Wolff, Jonas
Żarnowiec, Jan
Zolotarev, Maxim
Chase, Jonathan M.
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| Data: |
2020-01
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| Ano: |
2020
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| Resumo: |
The use of functional information in the form of species traits plays an important role in explaining biodiversity patterns and responses to environmental changes. Although relationships between species composition, their traits, and the environment have been extensively studied on a case-by-case basis, results are variable, and it remains unclear how generalizable these relationships are across ecosystems, taxa and spatial scales. To address this gap, we collated 80 datasets from trait-based studies into a global database for metaCommunity Ecology: Species, Traits, Environment and Space; “CESTES”. Each dataset includes four matrices: species community abundances or presences/absences across multiple sites, species trait information, environmental variables and spatial coordinates of the sampling sites. The CESTES database is a live database: it will be maintained and expanded in the future as new datasets become available. By its harmonized structure, and the diversity of ecosystem types, taxonomic groups, and spatial scales it covers, the CESTES database provides an important opportunity for synthetic trait-based research in community ecology.
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| Tipo: |
Text
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| Idioma: |
Inglês
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| Identificador: |
https://archimer.ifremer.fr/doc/00604/71606/70047.pdf
https://archimer.ifremer.fr/doc/00604/71606/70048.pdf
https://archimer.ifremer.fr/doc/00604/71606/71680.pdf
DOI:10.1038/s41597-019-0344-7
https://archimer.ifremer.fr/doc/00604/71606/
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| Editor: |
Springer Science and Business Media LLC
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| Formato: |
application/pdf
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| Fonte: |
Scientific Data (2052-4463) (Springer Science and Business Media LLC), 2020-01 , Vol. 7 , N. 1 , P. 6 (15p.)
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| Direitos: |
info:eu-repo/semantics/openAccess
restricted use
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