Energy and Human Ambitions on a Finite Planet, 2021a
Energy and Human Ambitions on a Finite Planet, 2021a
Energy and Human Ambitions on a Finite Planet, 2021a
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3 Populati<strong>on</strong> 36<br />
Definiti<strong>on</strong> 3.2.3 Overshoot is a generic c<strong>on</strong>sequence of delaying negative<br />
feedback. Since negative feedback is a “corrective,” stabilizing influence,<br />
delaying its applicati<strong>on</strong> allows the system to “get away” from the c<strong>on</strong>trol,<br />
thereby exceeding the target equilibrium state.<br />
This is a pretty easy c<strong>on</strong>cept to underst<str<strong>on</strong>g>and</str<strong>on</strong>g>. The logistic curve of Figure<br />
3.7 first accelerates, then briefly coasts before decelerating to arrive<br />
smoothly at a target. Following an example from [1], it is much like<br />
a car starting from rest by accelerating before applying the brakes to<br />
gently come to a stop when the bumper barely kisses a brick wall.<br />
The driver is operating a negative feedback loop: seeing/sensing the<br />
proximity to the wall <str<strong>on</strong>g>and</str<strong>on</strong>g> slowing down accordingly. The closer to the<br />
wall, the slower the driver goes until lightly touching the wall. Now<br />
imagine delaying the feedback to the driver by applying a blindfold <str<strong>on</strong>g>and</str<strong>on</strong>g><br />
giving voice descripti<strong>on</strong>s of the proximity to the wall, so that decisi<strong>on</strong>s<br />
about how much to brake are based <strong>on</strong> c<strong>on</strong>diti<strong>on</strong>s from a delayed<br />
communicati<strong>on</strong> process. Obviously, the driver will crash into the wall<br />
if the feedback is delayed, unless slowing down the whole process<br />
dramatically. Likewise, if the negative c<strong>on</strong>sequences—signals that we<br />
need to slow down populati<strong>on</strong> growth—arrive decades after the act of<br />
producing more humans, we can expect to exceed the “natural” limit,<br />
Q—a c<strong>on</strong>diti<strong>on</strong> called overshoot.<br />
By “generic c<strong>on</strong>sequence,” we just mean an<br />
outcome that is characteristic of the situati<strong>on</strong>,<br />
independent of details.<br />
[1]: Meadows et al. (1974), The Limits to<br />
Growth: A Report for the Club of Rome’s Project<br />
<strong>on</strong> the Predicament of Mankind<br />
Another example of feedback delay leading<br />
to overshoot: let’s say you are holding down<br />
the space bar <str<strong>on</strong>g>and</str<strong>on</strong>g> trying to positi<strong>on</strong> the<br />
cursor in the middle of the screen. But your<br />
c<strong>on</strong>necti<strong>on</strong> is lagging <str<strong>on</strong>g>and</str<strong>on</strong>g> even though you<br />
release the space bar when you see the cursor<br />
reach the middle, it keeps sailing past due<br />
to the delay: overshooting.<br />
Example 3.2.4 We did not detail the mechanisms of negative feedback<br />
operating <strong>on</strong> the deer populati<strong>on</strong> in Example 3.2.3 that act to stabilize<br />
the populati<strong>on</strong> at Q, but to illustrate how delayed negative feedback<br />
produces overshoot, c<strong>on</strong>sider predati<strong>on</strong> as <strong>on</strong>e of the operating forces.<br />
To put some simple numbers <strong>on</strong> it, let’s say that steady state can<br />
support <strong>on</strong>e adult (hunting) mountain li<strong>on</strong> for every 50 deer. Initially,<br />
when the populati<strong>on</strong> was 100 deer, this means two predators. When<br />
the deer populati<strong>on</strong> reaches Q 840, we might have ∼17 predators.<br />
But it takes time for the predators to react to the growing number of<br />
prey, perhaps taking a few years to produce the requisite number of<br />
hunting adults. Lacking the full complement of predators, the deer<br />
populati<strong>on</strong> will sail past the 840 mark until the predator populati<strong>on</strong><br />
rises to establish the ultimate balance. In fact, the predators will likely<br />
also exceed their steady populati<strong>on</strong> in a game of catch-up that leads<br />
to oscillati<strong>on</strong>s like those seen in Figure 3.8.<br />
We can explore what happens to our logistic curve if the negative<br />
feedback is delayed by various amounts. Figure 3.8 gives a few examples<br />
of overshoot as the delay increases. To avoid significant overshoot, the<br />
delay (τ) needs to be smaller than the natural timescale governing the<br />
problem: 1/r, where r is the rate in Eqs. 3.5 <str<strong>on</strong>g>and</str<strong>on</strong>g> 3.6. In our deer example<br />
using r 0.5, any delay l<strong>on</strong>ger than about 2 years causes overshoot. For<br />
more modest growth rates (human populati<strong>on</strong>s), relevant delays are in<br />
decades (see Box 3.1).<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.