Control parameters in turbulence, Self Organized Criticality and ecosystems

TL;DR

This paper introduces a control parameter R that unifies the understanding of turbulence, Self Organized Criticality (SOC), and ecosystems, revealing how R governs phase transitions and scaling behaviors across these systems.

Contribution

It proposes a generalized control parameter R related to driving and dissipation, linking turbulence, SOC, and ecosystems through similarity analysis and scaling laws.

Findings

R~N^{eta_N} relationship derived

Transition to SOC occurs as R approaches zero

Ecosystem model shows R influences species abundance

Abstract

From the starting point of the well known Reynolds number of fluid turbulence we propose a control parameter $R$ for a wider class of systems including avalanche models that show Self Organized Criticality (SOC) and ecosystems. $R$ is related to the driving and dissipation rates and from similarity analysis we obtain a relationship $R\sim N^{\beta_N}$ where $N$ is the number of degrees of freedom. The value of the exponent $\beta_N$ is determined by detailed phenomenology but its sign follows from our similarity analysis. For SOC, $R=h/\epsilon$ and we show that $\beta_N<0$ hence we show independent of the details that the transition to SOC is when $R \to 0$, in contrast to fluid turbulence, formalizing the relationship between turbulence (since $\beta_N >0$, $R \to \infty$) and SOC ($R=h/\epsilon\to 0$). A corollary is that SOC phenomenology, that is, power law scaling of avalanches, can persist for finite $R$ with unchanged exponent if the system supports a sufficiently large range of lengthscales; necessary for SOC to be a candidate for physical systems. We propose a conceptual model ecosystem where $R$ is an observable parameter which depends on the rate of throughput of biomass or energy; we show this has $\beta_N>0$, so that increasing $R$ increases the abundance of species, pointing to a critical value for species 'explosion'.