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dc.contributor.advisorSchaffer, Billen_US
dc.contributor.authorKOT, MARK.
dc.creatorKOT, MARK.en_US
dc.date.accessioned2011-10-31T16:58:03Z
dc.date.available2011-10-31T16:58:03Z
dc.date.issued1987en_US
dc.identifier.urihttp://hdl.handle.net/10150/184074
dc.description.abstractParametric excitation and dispersal are added to discrete-time population models. Discrete-time models for growth with dispersal share many of the attributes of reaction-diffusion equations. At the same time, these models readily exhibit period doubling and chaos. Large parametric excitation (seasonality) is inevitably destabilizing, but mild seasonality may have a pronounced stabilizing effect. Seasonality also allows for the coexistence of alternative stable states (equilibria, cycles, chaos). Many examples are presented.
dc.language.isoenen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.subjectPopulation density.en_US
dc.subjectPopulation genetics.en_US
dc.subjectPopulation -- Mathematical models.en_US
dc.titleTHE EFFECTS OF PARAMETRIC EXCITATION AND OF DISPERSAL ON THE DYNAMICS OF DISCRETE-TIME POPULATION MODELS.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.identifier.oclc698471026en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.leveldoctoralen_US
dc.contributor.committeememberBrown, Jimen_US
dc.contributor.committeememberCushing, Jimen_US
dc.contributor.committeememberFife, Paulen_US
dc.contributor.committeememberIstock, Conraden_US
dc.contributor.committeememberRosenzweig, Mikeen_US
dc.identifier.proquest8712888en_US
thesis.degree.disciplineEcology & Evolutionary Biologyen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.namePh.D.en_US
refterms.dateFOA2018-08-22T15:03:11Z
html.description.abstractParametric excitation and dispersal are added to discrete-time population models. Discrete-time models for growth with dispersal share many of the attributes of reaction-diffusion equations. At the same time, these models readily exhibit period doubling and chaos. Large parametric excitation (seasonality) is inevitably destabilizing, but mild seasonality may have a pronounced stabilizing effect. Seasonality also allows for the coexistence of alternative stable states (equilibria, cycles, chaos). Many examples are presented.


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