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Phytoplankton patchiness and their role in the modelled productivity of a large, seasonally stratified lake

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  • Hillmer, Ingrid
  • van Reenen, Penelope
  • Imberger, Jörg
  • Zohary, Tamar

Abstract

Phytoplankton concentration in Lake Kinneret (Israel) has varied up to 10-fold in space and time, with horizontal patches ranging from a couple of kilometres to a basin scale. Previous studies have used a 1D model to reproduce the temporal evolution of physical and biogeochemical variables in this lake. The question that arises then is how appropriate is a 1D approach to represent the dynamic of a spatially heterogeneous system, where there are non-linear dependencies between variables. Field data, a N-P-Z model coupled to both a 1D and a 3D hydrodynamic model, a 1D diffusion-reaction equation and scaling analysis are used to understand the role of spatial variability, expressed as phytoplankton patchiness, in the modelling of primary production. The analysis and results are used to investigate the effect of horizontal variability in the forcing and in the free mechanisms that affect the growth of patterns. The study shows that the use of averaged properties in a 1D approach may produce misleading results in the presence of localised patches, in terms of both concentration and composition of phytoplankton. The reason lies in the fact that the calibration process of ecological parameters in the 1D model appears to be site and process specific. That is, it depends on the pattern's characteristics and the underlying physical processes causing them. And this is a critical point for the success of numerical simulations under spatial variability. In this study, it is also shown that a length scale based on diffusion and growth rate of phytoplankton could be used as a criterion to assess the appropriateness of the 1D assumption.

Suggested Citation

  • Hillmer, Ingrid & van Reenen, Penelope & Imberger, Jörg & Zohary, Tamar, 2008. "Phytoplankton patchiness and their role in the modelled productivity of a large, seasonally stratified lake," Ecological Modelling, Elsevier, vol. 218(1), pages 49-59.
    • Handle: RePEc:eee:ecomod:v:218:y:2008:i:1:p:49-59
    DOI: 10.1016/j.ecolmodel.2008.06.017
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    References listed on IDEAS

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    1. Bees, M.A. & Mezic, I. & McGlade, J., 1998. "Planktonic interactions and chaotic advection in Langmuir circulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 44(6), pages 527-544.
    2. Vilar, J.M.G. & Solé, R.V. & Rubı́, J.M., 2003. "On the origin of plankton patchiness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 317(1), pages 239-246.
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    Cited by:

    1. Theng, Vouchlay & Sith, Ratino & Uk, Sovannara & Yoshimura, Chihiro, 2023. "Phytoplankton productivity in a tropical lake-floodplain system revealed by a process-based primary production model," Ecological Modelling, Elsevier, vol. 479(C).
    2. Li, Yu & Waite, Anya M. & Gal, Gideon & Hipsey, Matthew R., 2013. "An analysis of the relationship between phytoplankton internal stoichiometry and water column N:P ratios in a dynamic lake environment," Ecological Modelling, Elsevier, vol. 252(C), pages 196-213.
    3. 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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