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Pattern formation in clonal plants

Authors: Schönsberg, Francesca;

Pattern formation in clonal plants

Abstract

The precise dynamical features emerging from meadows of seagrasses (marine clonal plants) are not well understood. Research on modeling clonal plants tries to define the relative contribution of the different natural components on the global development of a meadow as well as on its extinction. To this day, no model is providing a simple, analytically tractable, comprehensive description of the dynamical features emerging from seagrasses. In the following thesis we approach this gap, inspired by the numerical results of a recent model ( ABD model) (Ruiz et al., 2016). Specifically, starting from the numerical bifurcation and phase diagrams of the ABD model we build a single partial differential equation reproducing the behavior. In particular, we expose the analytical and numerical arguments verifying the compatibility of the two models. Overall, we show that the complex dynamical behavior emerging in the growth of seagrass meadows can be reduced to a single equation, thus providing a possible predictive tool for designing effective re-population strategies and prevent extinctions.

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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