Predation with indirect effects in fluctuating environments

Tomás Caraballo*, Renato Colucci, Xiaoying Han

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


We investigate the long-term dynamics for a predation model of Plankton community with indirect effects, under fluctuating environments. A random version and a stochastic version with multiplicative noise of the model are discussed and compared. We prove that the solutions to both versions are nonnegative and bounded given any nonnegative positive initial conditions. We also prove that both the random system and the stochastic system possess a unique random attractor under the same set of assumptions, by using the classical theory of random dynamical systems. In addition, we provide conditions under which coexistence of species exists for the random system.

Original languageEnglish
Pages (from-to)115-126
Number of pages12
JournalNonlinear Dynamics
Issue number1
Publication statusPublished - 1 Apr 2016
Externally publishedYes


  • Indirect effects
  • Population dynamics
  • Random attractor
  • Random dynamical system


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