Spatial patterns emerging from a stochastic process near criticality
arXiv:1907.08852 · doi:10.1103/PhysRevX.10.011032
Abstract
There is mounting empirical evidence that many communities of living organisms display key features which closely resemble those of physical systems at criticality. We here introduce a minimal model framework for the dynamics of a community of individuals which undergoes local birth-death, immigration and local jumps on a regular lattice. We study its properties when the system is close to its critical point. Even if this model violates detailed balance, within a physically relevant regime dominated by fluctuations, it is possible to calculate analytically the probability density function of the number of individuals living in a given volume, which captures the close-to-critical behavior of the community across spatial scales. We find that the resulting distribution satisfies an equation where spatial effects are encoded in appropriate functions of space, which we calculate explicitly. The validity of the analytical formulæ is confirmed by simulations in the expected regimes. We finally discuss how this model in the critical-like regime is in agreement with several biodiversity patterns observed in tropical rain forests.
To appear in Physical Review X. Our manuscript contains a summary paragraph of 168 words and a main text 8,473 words long, 9 figures (comprising 26 panels in total) with legends (1,266 total words) and 53 references
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Cited by in corpus (6)
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- Effective Resource-Competition Model for Species Coexistence
- Interactions and migration rescuing ecological diversity
- Evidence of scale-free clusters of vegetation in tropical rainforests
- Steady-state joint distribution for first-order stochastic reaction kinetics
- Fixation and extinction in time-fluctuating spatially structured metapopulations