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Projekt Druckansicht

Verbindung von Ressourcenkonkurrenz und Biodiversität in Meta-Ökosystemen

Antragsteller Dr. Alexey Ryabov
Fachliche Zuordnung Ökologie und Biodiversität der Tiere und Ökosysteme, Organismische Interaktionen
Förderung Förderung von 2014 bis 2018
Projektkennung Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 265554662
 
Erstellungsjahr 2019

Zusammenfassung der Projektergebnisse

The DFG project enabled an ecological research on resource competition to reveal important consequences of the effects of spatial and temporal environmental variability on species diversity. This project contributes to a deeper understanding of the processes sustaining the diversity of primary producers. It shows that the competitive species traits play a crucial role for the relationships between resource distributions and coexistence of species with a potential both to increase and to decrease species diversity with changing dispersal rates. The project also reveals that phytoplankton richness can be strongly affected by both seasonal and diel light fluctuations. Our analysis of the experimental data has shown, however, that the growth rate and therefore competition outcome strongly depends on food stoichiometry, temperature and the size of competitors. Thus, for the future work it is important to study the combined effects of these factors in more detail under spatially and temporally variable conditions.

Projektbezogene Publikationen (Auswahl)

  • 2016. Unifying ecological stoichiometry and metabolic theory to predict production and trophic transfer in a marine planktonic food web. Phil. Trans. R. Soc. B 371:20150270
    Moorthi, S. D., J. A. Schmitt, A. Ryabov, I. Tsakalakis, B. Blasius, L. Prelle, M. Tiedemann, et al.
    (Siehe online unter https://doi.org/10.1098/rstb.2015.0270)
  • 2018. Diel light cycle as a key factor for modelling phytoplankton biogeography and diversity. Ecological Modelling 384:241–248
    Tsakalakis, I., M. Pahlow, A. Oschlies, B. Blasius, and A. B. Ryabov
    (Siehe online unter https://doi.org/10.1016/j.ecolmodel.2018.06.022)
 
 

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