A Gentle Introduction to Scaling Laws in Biological Systems

TL;DR

This paper explores how biological organism size influences metabolic rate, discussing empirical data, historical context, and theories like the Rubner and West-Brown-Enquist models that explain observed scaling laws.

Contribution

It provides a comprehensive review of empirical evidence and compares key theories explaining allometric scaling in biological systems.

Findings

Empirical data supports power-law relation between mass and metabolic rate.

Theoretical models like Rubner and West-Brown-Enquist explain the scaling exponents.

Discussion highlights ongoing debate about the exact value of the scaling exponent.

Abstract

This paper investigates the role of size in biological organisms. More specifically, how the energy demand, expressed by the metabolic rate, changes according to the mass of an organism. Empirical evidence suggests a power-law relation between mass and metabolic rate, namely allometric law. For vascular organisms, the exponent $\beta$ of this power-law is smaller than one, which implies scaling economy; that is, the greater the organism is, the lesser energy per cell it demands. However, the numerical value of this exponent is a theme of an extensive debate and a central issue in comparative physiology. It is presented in this work some empirical data and a detailed discussion about the most successful theories to explain these issues. A historical perspective is also shown, beginning with the first empirical insights in the sec. 19 about scaling properties in biology, passing through the two more important theories that explain the scaling properties quantitatively. Firstly, the Rubner model, that consider organism surface area and heat dissipation to derive $\beta = 2/3$. Secondly, the West-Brown-Enquist theory, that explains such scaling properties as a consequence of the hierarchical and fractal nutrient distribution network, deriving $\beta = 3/4$.