In a recent issue of the American Journal of Physics, I read an interesting paper by Nicole Meyer-Vernet and Jean-Pierre Rospars examining the top speeds of organisms of varying sizes, from bacteria up to blue whales. They found that the time it takes for an animal to move its own body length is almost independent of mass, across 21 orders of magnitude. They derived a simple scaling argument and order-of-magnitude estimate for this remarkable fact. Before I elaborate further on their paper, I will give an overview of scaling arguments and their power.
There is a false dichotomy in physics, that concepts can either be explained in quasi-philosophical vague descriptive arguments, or in terms of rigorous formulae that take years of study to understand. For example, one could describe general relativity with the bowling-ball-on-a-bedsheet analogy, and when that fails, crack out the Einstein field equations. However, this sad dichotomy is actually a happy trichotomy: in between the two extremes is the powerful tool of scaling arguments.
A scaling argument is basically a step above a Fermi calculation. In a Fermi calculation we make approximations of of various parameters in a formula and multiply them together to estimate an order of magnitude, neglecting precision. With a scaling argument, we examine how a dependent quantity changes as an independent quantity is varied, neglecting finer details, dimensionless coefficients, and look only at the limiting behaviour.
A well-known example is the Square-Cube Law, dating back to Galileo and described quite well in the Haldane essay, On Being the Right Size. The Square-Cube Law essentially states that if something, be it a chair or a person or whatever, were made twice as tall, twice as wide, and twice as deep, its volume and mass would increase by a factor of eight, but its ability to support that mass, its cross sectional area, would only increase by a factor of four. This means as things get bigger, their own weight becomes more significant compared to their strength (ants can carry 50 times their own weight, squirrels can run up trees, and humans can do pullups).
Another example is terminal velocity: the drag force depends on the cross-sectional area, which (assuming a spherical cow) goes as the square of radius (or the two-thirds power of mass), while the weight depends on the volume, proportional to the cube of radius or the first power of mass. As Haldane graphically puts it
You can drop a mouse down a thousand-yard mine shaft; and, on arriving at the bottom, it gets a slight shock and walks away, provided that the ground is fairly soft. A rat is killed, a man is broken, a horse splashes.
Of course, theoretical physics is more than about description, it’s about prediction. So, before writing this article I decided to make a prediction based on the square-cube law: the cross section of a human is proportional to the square of their height, or to the two-thirds power of their weight. Thus, if we measure the peak strengths of the strongest humans at different weights, the should scale with the two-thirds power of weight. I make this prediction without knowing anything about biomechanics, metabolism, training, just the fact that bigger guys tend to be stronger.
Looking up the record for the heaviest deadlift (picking a bar off the ground to hip level) for men of varying weights, we see that the records do follow the two-thirds scaling law from the smallest lifters up to about 220 pounds. Above that it breaks down because the lifters generally get fatter without getting much more muscular. One can do a power-law fit this data, and I find that the best-fit power is .67 ± 0.05, consistent with my 2/3 prediction. This article is not about weightlifting; I was using this as an example to show that I can make an accurate prediction about a complex system (the human body) with a very simple scaling argument. Note that these arguments are useful for predicting the power of a relationship, but aren’t necessarily good for predicting the actual value.
Now, back to the animal speed paper. The main observation that the paper is based on is summarized in its only figure. They look at how many times an animal can cover its own length in a second. Using humans as an example, Usain Bolt can cover his own height about six times in a second, while swimmer Florent Manaudou can cover his own length roughly once per second. Their sampling ranges from bacteria at 10-16 kg who move by swirling flagella, to whales at 105 kg who move by undulating their bodies, covering 21 orders of magnitude in mass. They argue that the average length-traversal time is roughly independent of mass across all these orders, until you get to the very large, although there is significant deviation about this average. Nevertheless, even if you take the fastest bacteria and compare it to the slowest whale to try to shoot down their argument, you will have to explain a -0.06 power law instead of a 0.0 power law, so their message stands: to zeroth-order, body traversal speed is independent of mass.
The rest of the paper argues why this is the case on scaling grounds
They care about deriving this constant relationship, and estimating its magnitude (body-lengths-per-second), not exactly but to within a factor of ten.
They argue that that the moving speed is determined by three features shared universally among moving organisms. The first is that because all life forms are mostly water and more-or-less buoyant, they have roughly the density of water, 1 kg/L. The second is that all motility is caused by the contraction of muscle proteins that have a similar structure across all life-forms. Based on the non-covalent binding energy of these proteins and their diameter, the force-per-unit-area they can exert is roughly 20,000 N/m2. Could a square-meter cross section of muscle support two tons? I’m picturing an elephant leg and I can believe it. The final feature is the metabolic rate per unit mass, which is related to an organism’s ability to transfer heat across its surface. The paper states that this is 2 kilowatts per kilogram of muscle. The paper doesn’t really explain where this comes from, citing controversy in the literature. All these quantities have variation from organism to organism, but together it is still much less than the 20 orders of magnitude of mass that are being considered.
The authors use dimensional analysis to figure out what powers of each quantity are required to describe the velocity per body length, which has units of frequency (meters per second per meter). They show that
Maximum speed/body length ~= (metabolic rate)x(density)/(protein fibre strength)~=10 body lengths per second
And this is a constant, depending on the zeroth power of mass, as was insinuated by the data. To reiterate, their standard of merit for this “prediction” isn’t that all animals cover their body length ten times per second, but that creatures of all size are roughly within an order of magnitude: a tenth to ten times this prediction. The paper goes on and gives some mechanical explanations as to why this makes sense; the energy required and work performed in wagging a flagella or moving a leg. The article also addresses the fact that there does seem to be a negative scaling between size and speed for the biggest organisms, and makes an argument that the mass-independent scaling law applies to creatures up to 1.4 meters in size.
Overall, I enjoyed reading this paper because it took a fairly remarkable fact and explained it using the simple but powerful tools of scaling analysis and Fermi calculation. I thought it was cool how three features shared across all lifeforms lead to this universal locomotion frequency.
Ph.D. McGill University, 2015
My research is at the interface of biological physics and soft condensed matter. I am interested in using tools provided from biology to answer questions about the physics of soft materials. In the past I have investigated how DNA partitions itself into small spaces and how knots in DNA molecules move and untie. Moving forward, I will be investigating the physics of non-covalent chemical bonds using “DNA chainmail” and exploring non-equilibrium thermodynamics and fluid mechanics using protein gels.