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Updated: May 8, 2026

Visualizing Oceanographic Data to Depict Long-term Changes in Phytoplankton
08:15

Visualizing Oceanographic Data to Depict Long-term Changes in Phytoplankton

Published on: July 28, 2023

Delay-driven irregular spatiotemporal patterns in a plankton system.

Canrong Tian1, Lai Zhang

  • 1Department of Basic Sciences, Yancheng Institute of Technology, Yancheng 224003, China. tiancanrong@163.com

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|August 16, 2013
PubMed
Summary
This summary is machine-generated.

Time delays in prey-predator plankton systems can create irregular spatial patterns. These findings explain real-world plankton distribution scales and ecological dynamics.

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Last Updated: May 8, 2026

Visualizing Oceanographic Data to Depict Long-term Changes in Phytoplankton
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Chemotactic Response of Marine Micro-Organisms to Micro-Scale Nutrient Layers
22:38

Chemotactic Response of Marine Micro-Organisms to Micro-Scale Nutrient Layers

Published on: May 28, 2007

Area of Science:

  • Ecology
  • Mathematical Biology
  • Oceanography

Background:

  • Inhomogeneous species distribution is common in plankton systems.
  • Understanding spatial pattern formation is key to plankton ecology.

Purpose of the Study:

  • To investigate the effect of time delay on spatiotemporal patterns in a prey-predator plankton model.
  • To analyze the mechanisms driving pattern emergence and transitions.

Main Methods:

  • Mathematical modeling of a prey-predator plankton system.
  • Analysis of spatiotemporal dynamics using bifurcation theory.
  • Numerical simulations to observe pattern evolution.

Main Results:

  • Time delay can induce irregular spatial patterns through Hopf bifurcation.
  • A phase transition from regular spiral to irregular patterns was observed.
  • Emergent patterns exhibited characteristic lengths matching field observations.

Conclusions:

  • Time delay is a critical factor influencing spatial heterogeneity in plankton.
  • The model provides insights into the generation of complex plankton distributions.
  • Findings align with empirical observations of plankton patchiness.