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Energy and Human Ambitions on a Finite Planet, 2021a

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3 Populati<strong>on</strong> 31<br />

expectati<strong>on</strong>s, then discuss the heralded “demographic transiti<strong>on</strong>” <str<strong>on</strong>g>and</str<strong>on</strong>g><br />

its implicati<strong>on</strong>s.<br />

3.1 Populati<strong>on</strong> History<br />

Figure 3.2 shows a history of global populati<strong>on</strong> for the last 12,000 years.<br />

Notice that for most of this time, the level is so far down as to be<br />

essentially invisible. It is natural to be alarmed by the sharp rise in recent<br />

times, which makes the current era seem wholly unusual: an aberrati<strong>on</strong>.<br />

But wait—maybe it’s just a plain exp<strong>on</strong>ential functi<strong>on</strong>. All exp<strong>on</strong>ential<br />

functi<strong>on</strong>s—ruthless as they are—would show this alarming rise at some<br />

point, sometimes called a “hockey stick” plot. In order to peer deeper, we<br />

plot populati<strong>on</strong> <strong>on</strong> a logarithmic vertical axis (Figure 3.3). Now we bring<br />

the past into view, <str<strong>on</strong>g>and</str<strong>on</strong>g> can see whether a single exp<strong>on</strong>ential functi<strong>on</strong><br />

(which would have a c<strong>on</strong>stant slope in a logarithmic plot) captures the<br />

story.<br />

Wait, what? It still looks somewhat like a hockey stick (even more literally<br />

so)! How can that be?! This can’t be good news. Peering more closely, we<br />

can crudely break the history into two eras, each following exp<strong>on</strong>ential<br />

growth (straight lines <strong>on</strong> the plot), but at different rates. The early phase<br />

had a modest 0.044% growth rate. By the “rule of 70,” the corresp<strong>on</strong>ding<br />

doubling time is about 1,600 years. In more recent times, a 1% rate is<br />

more characteristic (70 year doubling). Indeed, we would be justified in<br />

saying that recent centuries are anomalous compared to the first 10,000<br />

years of the plot. If we extend the the 0.04% line <str<strong>on</strong>g>and</str<strong>on</strong>g> the 1% line, we find<br />

that they intersect around the year 1700, which helps identify the era of<br />

marked transiti<strong>on</strong>.<br />

The recent rapid rise is a fascinating development, <str<strong>on</strong>g>and</str<strong>on</strong>g> begs for a closer<br />

look. Figure 3.4 shows the last ∼1,000 years, for which we see several<br />

exp<strong>on</strong>ential-looking segments at ever-increasing rates. The doubling<br />

times associated with the four rates shown <strong>on</strong> the plot are presented in<br />

Table 3.1.<br />

An interpretati<strong>on</strong> of the populati<strong>on</strong> history might go as follows. Not much<br />

changed during the period following the Dark Ages. 2 The Renaissance<br />

(∼1700) introduced scientific thinking so that we began to c<strong>on</strong>quer<br />

diseases, allowing an uptick in populati<strong>on</strong> growth. In the mid-19th<br />

century (∼1870), the explosive expansi<strong>on</strong> of fossil fuel usage permitted<br />

industrializati<strong>on</strong> at a large scale, <str<strong>on</strong>g>and</str<strong>on</strong>g> mechanized farming practices.<br />

More people could be fed <str<strong>on</strong>g>and</str<strong>on</strong>g> supported, while our mastery over human<br />

health c<strong>on</strong>tinued to improve. In the mid-20th century (∼1950), the Green<br />

Revoluti<strong>on</strong> [17] introduced a fossil-fuel-heavy diet of fertilizer <str<strong>on</strong>g>and</str<strong>on</strong>g> largescale<br />

mechanizati<strong>on</strong> of agriculture, turning food producti<strong>on</strong> into an<br />

industry. The combinati<strong>on</strong> of a qualitative change in the availability of<br />

cheap nutriti<strong>on</strong> <str<strong>on</strong>g>and</str<strong>on</strong>g> the march of progress <strong>on</strong> disease c<strong>on</strong>trol cranked<br />

the populati<strong>on</strong> rate even higher.<br />

populati<strong>on</strong> (billi<strong>on</strong>s)<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

1<br />

0<br />

−10000−8000−6000−4000−2000 0 2000<br />

year<br />

Figure 3.2: Global populati<strong>on</strong> estimate, over<br />

the modern human era, <strong>on</strong> a linear scale.<br />

Figure 3.1 offers a recent close-up. [14, 15].<br />

populati<strong>on</strong> (log scale)<br />

10 10<br />

10 9<br />

10 8<br />

10 7<br />

0.04% growth<br />

1.0% growth<br />

1700<br />

10 6<br />

−10000−8000−6000−4000−2000 0 2000<br />

year<br />

Figure 3.3: Global populati<strong>on</strong> estimate, over<br />

the modern human era, <strong>on</strong> a logarithmic<br />

scale. [14, 15].<br />

populati<strong>on</strong> (log scale)<br />

10 10<br />

10 9<br />

0.12% growth<br />

0.82% growth<br />

0.41% growth<br />

1700<br />

1.7% growth<br />

1870<br />

1950<br />

10 8<br />

1000 1200 1400 1600 1800 2000<br />

year<br />

Figure 3.4: Global populati<strong>on</strong> estimate, over<br />

recent centuries. On the logarithmic plot,<br />

lines of c<strong>on</strong>stant slope are exp<strong>on</strong>ential in behavior.<br />

Four such exp<strong>on</strong>ential segments can<br />

be broken out in the plot, having increasing<br />

growth rates. [14, 15].<br />

2: ...exceptthatfamine <str<strong>on</strong>g>and</str<strong>on</strong>g> plague took a<br />

toll in the 14th century<br />

Table 3.1: Doubling times for Fig. 3.4.<br />

Years % growth t 2<br />

1000–1700 0.12% 600 yr<br />

1700–1870 0.41% 170 yr<br />

1870–1950 0.82% 85 yr<br />

1950–2020 1.70% 40 yr<br />

© 2021 T. W. Murphy, Jr.; Creative Comm<strong>on</strong>s Attributi<strong>on</strong>-N<strong>on</strong>Commercial 4.0 Internati<strong>on</strong>al Lic.;<br />

Freely available at: https://escholarship.org/uc/energy_ambiti<strong>on</strong>s.

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