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dc.contributor.authorDey, Snigdhadip
dc.contributor.authorGoswami, Bedartha
dc.contributor.authorJoshi, Amitabh
dc.date.accessioned2017-02-21T07:05:55Z-
dc.date.available2017-02-21T07:05:55Z-
dc.date.issued2014
dc.identifier.citationDey, S; Goswami, B; Joshi, A, Effects of symmetric and asymmetric dispersal on the dynamics of heterogeneous metapopulations: Two-patch systems revisited. Journal of Theoretical Biology 2014, 345, 52-60, http://dx.doi.org/10.1016/j.jtbi.2013.12.005en_US
dc.identifier.citationJournal of Theoretical Biologyen_US
dc.identifier.citation345en_US
dc.identifier.issn0022-5193
dc.identifier.urihttps://libjncir.jncasr.ac.in/xmlui/10572/2450-
dc.descriptionRestricted Accessen_US
dc.description.abstractAlthough 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.en_US
dc.description.uri1095-8541en_US
dc.description.urihttp://dx.doi.org/10.1016/j.jtbi.2013.12.005en_US
dc.language.isoEnglishen_US
dc.publisherAcademic Press Ltd- Elsevier Science Ltden_US
dc.rights@Academic Press Ltd- Elsevier Science Ltd, 2014en_US
dc.subjectBiologyen_US
dc.subjectMathematical & Computational Biologyen_US
dc.subjectRicker Modelen_US
dc.subjectStabilityen_US
dc.subjectStabilizationen_US
dc.subjectPeriodicityen_US
dc.subjectChaosen_US
dc.subjectSimple Population-Modelsen_US
dc.subjectCoupled Logistic Mapen_US
dc.subjectImmigrationen_US
dc.subjectStabilityen_US
dc.subjectPersistenceen_US
dc.subjectDiscreteen_US
dc.subjectSynchronyen_US
dc.subjectGrowthen_US
dc.titleEffects of symmetric and asymmetric dispersal on the dynamics of heterogeneous metapopulations: Two-patch systems revisiteden_US
dc.typeArticleen_US
Appears in Collections:Research Articles (Amitabh Joshi)

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