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Modelling functional groups of phytoplankton in three lakes of different trophic state

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  • Mieleitner, Johanna
  • Reichert, Peter

Abstract

A recently developed approach to divide phytoplankton into functional groups was implemented in the biogeochemical lake model BELAMO and tested by comparing model results with data from three lakes of different trophic state. The groups are distinguished by different values of specific growth rate (kgro,ALG), half-saturation light intensity of primary production (KI,ALG), edibility (kgro,ZOO), sedimentation velocity (vsed), and half-saturation concentration with respect to phosphate uptake (KP,ALG). After calibration, the occurrence pattern of the functional groups in the three lakes can qualitatively be represented by the model. However, some quantitative and systematic differences between model results and data remain. Furthermore, the division of total phytoplankton into functional groups makes these groups very sensitive to changes in kinetic model parameters. There is a very high sensitivity of each group not only to the parameters characterizing this group, but due to very strong interactions, also to the parameters determining the dynamics of the other groups. In contrast, the sensitivity of total phytoplankton to parameter changes remains at a similar level as in the aggregated model. The resulting high sensitivity of the composition of the phytoplankton community on model parameters indicates a poor predictability of the occurrence of functional groups in these lakes. Strong phosphorus limitation during the summer could be the cause for the better predictability of total phytoplankton concentrations in both, the aggregated and the functional group phytoplankton models.

Suggested Citation

  • Mieleitner, Johanna & Reichert, Peter, 2008. "Modelling functional groups of phytoplankton in three lakes of different trophic state," Ecological Modelling, Elsevier, vol. 211(3), pages 279-291.
  • Handle: RePEc:eee:ecomod:v:211:y:2008:i:3:p:279-291
    DOI: 10.1016/j.ecolmodel.2007.09.010
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    Citations

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    Cited by:

    1. Ewa Merz & Erik Saberski & Luis J. Gilarranz & Peter D. F. Isles & George Sugihara & Christine Berger & Francesco Pomati, 2023. "Disruption of ecological networks in lakes by climate change and nutrient fluctuations," Nature Climate Change, Nature, vol. 13(4), pages 389-396, April.
    2. Kerimoglu, Onur & Jacquet, Stéphan & Vinçon-Leite, Brigitte & Lemaire, Bruno J. & Rimet, Frédéric & Soulignac, Frédéric & Trévisan, Dominique & Anneville, Orlane, 2017. "Modelling the plankton groups of the deep, peri-alpine Lake Bourget," Ecological Modelling, Elsevier, vol. 359(C), pages 415-433.
    3. Petzoldt, Thomas & Rudolf, Lars & Rinke, Karsten & Benndorf, Jürgen, 2009. "Effects of zooplankton diel vertical migration on a phytoplankton community: A scenario analysis of the underlying mechanisms," Ecological Modelling, Elsevier, vol. 220(9), pages 1358-1368.
    4. Dittrich, M. & Wehrli, B. & Reichert, P., 2009. "Lake sediments during the transient eutrophication period: Reactive-transport model and identifiability study," Ecological Modelling, Elsevier, vol. 220(20), pages 2751-2769.
    5. Trolle, Dennis & Skovgaard, Henrik & Jeppesen, Erik, 2008. "The Water Framework Directive: Setting the phosphorus loading target for a deep lake in Denmark using the 1D lake ecosystem model DYRESM–CAEDYM," Ecological Modelling, Elsevier, vol. 219(1), pages 138-152.
    6. Jørgensen, Sven Erik, 2010. "A review of recent developments in lake modelling," Ecological Modelling, Elsevier, vol. 221(4), pages 689-692.
    7. Fenocchi, Andrea & Rogora, Michela & Morabito, Giuseppe & Marchetto, Aldo & Sibilla, Stefano & Dresti, Claudia, 2019. "Applicability of a one-dimensional coupled ecological-hydrodynamic numerical model to future projections in a very deep large lake (Lake Maggiore, Northern Italy/Southern Switzerland)," Ecological Modelling, Elsevier, vol. 392(C), pages 38-51.

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