Published August 25, 2017 | Version v1
Dataset Open

Individual-level trait diversity predicts phytoplankton community properties better than species richness or evenness

Authors/Creators

  • 1. Eawag, Swiss Federal Institute of Aquatic Science and Technology / WSL: Swiss Federal Institute for Forest, Snow and Landscape Research
  • 2. Eawag, Swiss Federal Institute of Aquatic Science and Technology
  • 3. Institute of Biology Bucharest, Romanian Academy
  • 4. Eawag, Swiss Federal Institute of Aquatic Science and Technology / Institute of Integrative Biology, Swiss Federal Institute of Technology (ETH)

Description

This archive includes the final summary tables used for the analyses.

Notes

This research is supported by the Swiss National Science Foundation Projects 31003A_144053, CRSII2_147654 and IZERZ0_142165 (Enlargement Contribution Project "CyanoArchive", in the framework of the Romanian-Swiss Research Programme).

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DanubeDeltaLakes_Summary.csv

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