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Relating generalized and specific modeling in population dynamical systems

Authors: Stiefs, Dirk;

Relating generalized and specific modeling in population dynamical systems

Abstract

In dieser Arbeit werden zwei neue Spezialgebiete der Populationsdynamik mit Hilfe eines verallgemeinerten Modellierungsansatzes untersucht: stoichiometrische und öko-epidemiologische Populationsmodelle. Die stoichiometrischen Populationsmodelle berücksichtigen, dass Primärproduzenten in der Regel einen schwankenden Nährstoffgehalt aufweisen, Konsumenten jedoch eine fein abgestimmte Zusammensetzung von Nährstoffen benötigen. In öko-epidemiologischen Modellen wird hingegen der Einfluss von Krankheiten auf die Interaktion von Populationen untersucht. Im Speziellen werden wir uns mit Krankheiten in Räuberpopulationen und den Einfluss auf die Räuber-Beute-Dynamik befassen. Bifurkationen spielen in den verwendeten Analyseverfahren eine entscheidende Rolle. Zunächst wird eine innovative Methode vorgestellt, mit der Bifurkationen in verallgemeinerten Modellen gefunden und dreidimensional dargestellt werden können. Die somit gewonnenen Bifurkationsdiagramme der verallgemeinerten Modelle werden anschließend teilweise mit den Bifurkationsdiagrammen spezifischer Modelle kombiniert und verglichen.

Countries
Netherlands, Germany
Keywords

Life sciences, biology, biology, Life sciences

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green