4.4 Article

Effects of symmetric and asymmetric dispersal on the dynamics of heterogeneous metapopulations: Two-patch systems revisited

Journal

JOURNAL OF THEORETICAL BIOLOGY
Volume 345, Issue -, Pages 52-60

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jtbi.2013.12.005

Keywords

Ricker model; Stability; Stabilization; Periodicity; Chaos

Funding

  1. Department of Science and Technology, Government of India
  2. Indian Academy of Sciences
  3. Jawaharlal Nehru Centre for Advanced Scientific Research

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Although the effects of dispersal on the dynamics of two-patch metapopulations are well studied, potential interactions between local dynamics and asymmetric dispersal remain unexplored. We examined the dynamics of two Ricker models coupled by symmetric or asymmetric constant-fraction dispersal at different rates. Unlike previous studies, we extensively sampled the r(1)-r(2) space and found that stability of the coupled system was markedly affected by interactions between dispersal (in terms of strength and asymmetry) and local dynamics. When both subpopulations were intrinsically chaotic, increased symmetry in the exchange of individuals had a greater stabilizing impact on the dynamics of the system. When one subpopulation showed considerably more unstable dynamics than the other, higher asymmetry in the exchange of individuals had a stabilizing or destabilizing effect on the dynamics depending on whether the net dispersal bias was from the relatively stable to the relatively unstable subpopulation, or vice versa. The sensitivity of chaotic dynamics to stabilization due to dispersal varied with r-value in the chaotic subpopulation. Under unidirectional or bidirectional symmetric dispersal, when one subpopulation was intrinsically chaotic and the other had stable dynamics, the stabilization of chaotic subpopulations with r similar to 3.3-4.0 occurred at the lowest dispersal rates, followed by chaotic subpopulations with r similar to 2.7-2.95 and, finally, chaotic subpopulations with r similar to 2.95-3.3. The mechanism for this pattern is not known but might be related to the range and number of different attainable population sizes possible in different r-value zones. (C) 2013 Elsevier Ltd. All rights reserved.

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