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A Nonlinear Stability Analysis of Vegetative Turing Pattern Formation for an Interaction–Diffusion Plant-Surface Water Model System in an Arid Flat Environment

Overview of attention for article published in Bulletin of Mathematical Biology, October 2011
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Title
A Nonlinear Stability Analysis of Vegetative Turing Pattern Formation for an Interaction–Diffusion Plant-Surface Water Model System in an Arid Flat Environment
Published in
Bulletin of Mathematical Biology, October 2011
DOI 10.1007/s11538-011-9688-7
Pubmed ID
Authors

Bonni J. Kealy, David J. Wollkind

Abstract

The development of spontaneous stationary vegetative patterns in an arid flat environment is investigated by means of a weakly nonlinear diffusive instability analysis applied to the appropriate model system for this phenomenon. In particular, that process can be modeled by a partial differential interaction-diffusion equation system for the plant biomass density and the surface water content defined on an unbounded flat spatial domain. The main results of this analysis can be represented by closed-form plots in the rate of precipitation versus the specific rate of plant density loss parameter space. From these plots, regions corresponding to bare ground and vegetative patterns consisting of parallel stripes, labyrinth-like mazes, hexagonal arrays of gaps, irregular mosaics, and homogeneous distributions of vegetation, respectively, may be identified in this parameter space. Then those theoretical predictions are compared with both relevant observational evidence involving tiger and pearled bush patterns and existing numerical simulations of similar model systems as well as placed in the context of the results from some recent nonlinear vegetative pattern formation studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 4%
India 1 4%
China 1 4%
Australia 1 4%
Unknown 23 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 33%
Researcher 5 19%
Student > Master 2 7%
Professor 2 7%
Lecturer 1 4%
Other 3 11%
Unknown 5 19%
Readers by discipline Count As %
Environmental Science 6 22%
Mathematics 6 22%
Earth and Planetary Sciences 4 15%
Agricultural and Biological Sciences 3 11%
Physics and Astronomy 2 7%
Other 2 7%
Unknown 4 15%