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Quantitative analysis of self-organized patterns in ombrotrophic peatlands
- Source :
- Scientific Reports, Scientific Reports, Vol 9, Iss 1, Pp 1-11 (2019), Scientific Reports, Vol. 9, No 1499 (2019)
- Publication Year :
- 2019
-
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.<br />14 pages, 7 figures
- 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
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Database :
- OpenAIRE
- Journal :
- Scientific Reports, Scientific Reports, Vol 9, Iss 1, Pp 1-11 (2019), Scientific Reports, Vol. 9, No 1499 (2019)
- Accession number :
- edsair.doi.dedup.....564842f686b35591531d6d672a862b80