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The generation of plankton patchiness by turbulent stirring

Author

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  • Edward R. Abraham

    (National Institute of Water and Atmospheric Research)

Abstract

Diffusive processes are often used to represent the formation of spatial patterns in biological systems1. Here I show how patchiness may be generated in planktonic ecosystems through non-diffusive advection. Plankton distributions in oceanic surface waters can be characterized by the spectra of concentrations obtained along ship transects. Such spectra are inevitably found to have a power-law form over horizontal scales ranging from 1 to 100 km (ref. 2). Phytoplankton have distributions similar to those of physical quantities such as sea surface temperature, with much less variability at shorter length scales. In contrast, zooplankton density may be almost as variable at short scales as long ones3. Distributions of this form are generated in a model of the turbulent stirring of coupled phytoplankton and zooplankton populations. The characteristic spatial patterns of the phytoplankton and zooplankton are a consequence of the timescales of their response to changes in their environment caused by turbulent advection.

Suggested Citation

  • Edward R. Abraham, 1998. "The generation of plankton patchiness by turbulent stirring," Nature, Nature, vol. 391(6667), pages 577-580, February.
  • Handle: RePEc:nat:nature:v:391:y:1998:i:6667:d:10.1038_35361
    DOI: 10.1038/35361
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    Cited by:

    1. Della Rossa, Fabio & Fasani, Stefano & Rinaldi, Sergio, 2013. "Conditions for patchiness in plankton models," Theoretical Population Biology, Elsevier, vol. 83(C), pages 95-100.
    2. Upadhyay, Ranjit Kumar & Kumari, Nitu & Rai, Vikas, 2009. "Wave of chaos in a diffusive system: Generating realistic patterns of patchiness in plankton–fish dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 40(1), pages 262-276.
    3. Serizawa, H. & Amemiya, T. & Itoh, K., 2009. "Patchiness and bistability in the comprehensive cyanobacterial model (CCM)," Ecological Modelling, Elsevier, vol. 220(6), pages 764-773.
    4. Joydev Chattopadhyay & Ezio Venturino & Samrat Chatterjee, 2013. "Aggregation of toxin-producing phytoplankton acts as a defence mechanism – a model-based study," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 19(2), pages 159-174, April.
    5. Ghorai, Santu & Chakraborty, Bhaskar & Bairagi, Nandadulal, 2021. "Preferential selection of zooplankton and emergence of spatiotemporal patterns in plankton population," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    6. 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.
    7. Wang, Ching-Hao & Matin, Sakib & George, Ashish B. & Korolev, Kirill S., 2019. "Pinned, locked, pushed, and pulled traveling waves in structured environments," Theoretical Population Biology, Elsevier, vol. 127(C), pages 102-119.
    8. Evgeniya Giricheva, 2024. "Taxis-Driven Pattern Formation in Tri-Trophic Food Chain Model with Omnivory," Mathematics, MDPI, vol. 12(2), pages 1-18, January.
    9. Enrico Ser-Giacomi & Ricardo Martinez-Garcia & Stephanie Dutkiewicz & Michael J. Follows, 2023. "A Lagrangian model for drifting ecosystems reveals heterogeneity-driven enhancement of marine plankton blooms," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    10. Das, Tanaya & Chakraborti, Saranya & Mukherjee, Joydeep & Sen, Goutam Kumar, 2018. "Mathematical modelling for phytoplankton distribution in Sundarbans Estuarine System, India," Ecological Modelling, Elsevier, vol. 368(C), pages 111-120.
    11. Bengfort, Michael & Malchow, Horst, 2016. "Vertical mixing and hysteresis in the competition of buoyant and non-buoyant plankton prey species in a shallow lake," Ecological Modelling, Elsevier, vol. 323(C), pages 51-60.
    12. Suresh, R. & Senthilkumar, D.V. & Lakshmanan, M. & Kurths, J., 2016. "Emergence of a common generalized synchronization manifold in network motifs of structurally different time-delay systems," Chaos, Solitons & Fractals, Elsevier, vol. 93(C), pages 235-245.

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