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Area of Science:

  • Ecology
  • Population Dynamics
  • Environmental Stochasticity

Background:

  • The Moran effect describes population synchronization due to spatial correlations in environmental stochasticity.
  • Limited understanding exists for Moran effect dynamics when environmental autocorrelation varies spatially.

Purpose of the Study:

  • To investigate the temporal response of independent phytoplankton populations to spatially varying, temporally autocorrelated environmental forcing.
  • To explore the phenomenon of an 'enhanced Moran effect' where population synchrony exceeds environmental correlation.

Main Methods:

  • Chemostat experiments with independent phytoplankton populations.
  • Application of autocorrelated stochastic forcing with varying spatial autocorrelation.
  • Numerical simulations and analytical calculations for validation.

Main Results:

  • Demonstrated an enhanced Moran effect: two uncoupled populations exhibited stronger correlation than their environmental forcing.
  • This effect occurred when stochastic variations differed in their autocorrelation.
  • Findings were consistent across experimental, simulation, and analytical approaches.

Conclusions:

  • The enhanced Moran effect is a robust phenomenon, independent of specific population dynamics or noise spectra.
  • Noise-induced synchrony may play a more significant role in population dynamics than previously recognized.
  • Highlights the importance of considering spatially varying autocorrelation in environmental noise.