Hydrological and environmental variables outperform spatial factors in structuring species, trait composition, and beta diversity of pelagic algae.

Wu, Naicheng; Qu, Yueming; Guse, Björn; Makareviciute, Kriste; To, Szewing; Riis, Tenna; Fohrer, Nicola

Wu, Naicheng; Qu, Yueming; Guse, Björn; Makareviciute, Kriste; To, Szewing; Riis, Tenna; Fohrer, Nicola.

Afiliación

Wu N; Department of Hydrology and Water Resources Management Institute for Natural Resource Conservation Kiel University Kiel Germany.
Qu Y; Aarhus Institute of Advanced Studies Aarhus University Aarhus C Denmark.
Guse B; Department of Bioscience Aarhus University Aarhus C Denmark.
Makareviciute K; Department of Hydrology and Water Resources Management Institute for Natural Resource Conservation Kiel University Kiel Germany.
To S; Department of Hydrology and Water Resources Management Institute for Natural Resource Conservation Kiel University Kiel Germany.
Riis T; GFZ German Research Centre for Geosciences Section Hydrology Potsdam Germany.
Fohrer N; Helmholtz Centre for Ocean Research Kiel (GEOMAR) Kiel Germany.

Ecol Evol ; 8(5): 2947-2961, 2018 03.

Article en En | MEDLINE | ID: mdl-29531708

Palabras clave

beta diversity; ecohydrological modeling; functional traits; lowland river; multiple stressors; pelagic algae; species composition

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Ecol Evol Año: 2018 Tipo del documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google