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Intrinsic timescales of variability in a marine plankton model

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Listed:
  • Mayersohn, Benjamin
  • Smith, K. Shafer
  • Mangolte, Inès
  • Lévy, Marina

Abstract

Phytoplankton are known to exhibit temporal variability in biomass and community composition. While physically driven sources of variability have been studied extensively, ecosystems often exhibit complicated intrinsic dynamics that are not as well understood. As a first step towards assessing the contribution of this intrinsic variability to the total variability in the ocean, we examine the temporal scales of intrinsic variability in a marine plankton model suitable for use in climate model projections. Our rationale is that a better understanding of the time scales over which intrinsic variability manifests could help in the attribution of observed variability. Our model includes multiple phytoplankton, dissolved inorganic nutrients, and zooplankton and supports two oscillatory mechanisms: “R-oscillations”, corresponding to patterns of species succession and associated with changes in resources, and “Z-oscillations”, corresponding to changes in total phytoplankton biomass due to predator–prey interactions.

Suggested Citation

  • Mayersohn, Benjamin & Smith, K. Shafer & Mangolte, Inès & Lévy, Marina, 2021. "Intrinsic timescales of variability in a marine plankton model," Ecological Modelling, Elsevier, vol. 443(C).
    • Handle: RePEc:eee:ecomod:v:443:y:2021:i:c:s030438002100020x
    DOI: 10.1016/j.ecolmodel.2021.109446
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    References listed on IDEAS

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    1. Göthlich, Lena & Oschlies, Andreas, 2015. "Disturbance characteristics determine the timescale of competitive exclusion in a phytoplankton model," Ecological Modelling, Elsevier, vol. 296(C), pages 126-135.
    2. Platt, Trevor & White, George N. & Zhai, Li & Sathyendranath, Shubha & Roy, Shovonlal, 2009. "The phenology of phytoplankton blooms: Ecosystem indicators from remote sensing," Ecological Modelling, Elsevier, vol. 220(21), pages 3057-3069.
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