1. Quantitative analysis of self-organized patterns in ombrotrophic peatlands
- Author
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B��guin, Chlo��, Brunetti, Maura, and Kasparian, J��r��me
- Subjects
ddc:333.7-333.9 ,Self-organization ,Conservation of Natural Resources ,Peatland ,Turing instability ,Climate ,Quantitative Biology::Tissues and Organs ,lcsh:R ,FOS: Physical sciences ,lcsh:Medicine ,ddc:500.2 ,Nutrients ,Article ,Nonlinear Sciences - Adaptation and Self-Organizing Systems ,Droughts ,Quantitative Biology::Cell Behavior ,Soil ,Biological Physics (physics.bio-ph) ,Sphagnopsida ,lcsh:Q ,Computer Simulation ,Physics - Biological Physics ,lcsh:Science ,Adaptation and Self-Organizing Systems (nlin.AO) ,Plant Physiological Phenomena - Abstract
We numerically investigate a diffusion-reaction model of an ombrotrophic peatland implementing a Turing instability relying on nutrient accumulation. We propose a systematic and quantitative sorting of the vegetation patterns, based on the statistical analysis of the numbers and filling factor of clusters of both \textit{Sphagnum} mosses and vascular plants. In particular, we define the transition from \textit{Sphagnum}-percolating to vascular plant-percolating patterns as the nutrient availability is increased. Our pattern sorting allows us to characterize the peatland pattern stability under climate stress, including strong drought., 14 pages, 7 figures
- Published
- 2019