It's the summer of 1997: rabies is devastating rabies populations in the Triangle. Although this troubling disease certainly seems like something out of the ordinary, the mathematics predicts that wild swings in populations are possible even in the most normal of times. The mathematics involved is amazingly simple.
The founder of population mathematics was Pierre Verhulst (1804-1849), a very talented Belgian mathematician dogged by poor health throughout his short life. Prior to his work, the famous British economist Robert Malthus had predicted that animal and human populations were fated to grow exponentially. But Verhulst understood that real populations are capped: in every habitat and for every species there is a carrying capacity. A population exceeding this capacity must go down rather than up.
Verhulst reasoned something like this. Let's write p(n) for the population in year n and let M be the carrying capacity.
p(n+1) = (1+g-h)p(n) - gp(n)^{2}/M.
Mathematicians call a formula of this kind recursive. Recursion comes from Latin roots meaning "run again." When we have a recursive formula, we start with an initial value p(0) and "run" the formula again and again, as many times as we wish, to compute p(1), p(2), p(3), etc.
It used to be that recursive formulas involved huge amounts of calculation, but today we can handle them quite easily using spreadsheets or graphing calculators. Here are graphs of a population from year 0 to year 20 drawn by a Claris Works spreadsheet. In each case, we begin with p(0) = 10 animals, the carrying capacity is M = 100 animals, and the minimum loss rate is h = 20%.
If g = 125% the population rises quickly, then more slowly, and levels off at a stable value somewhat below the carrying capacity. This sort of growth typically occurs when species are released into a new habitat. | |
If g = 250%, we see the same kind of initial growth, but instead of reaching a stable value the population swings wildly and regularly back and forth between a level just above the carrying capacity and one that is comfortably below. This population behavior is common among animals with relatively high population growth rates. | |
If g = 300%, we see huge, uncontrolled swings in the population, and these variations are not at all regular. Both mathematicians and biologists were amazed that such a simple model can exhibit such complex behavior, behavior we now call chaotic. |
The lesson here is that population variation is perfectly natural as species attempt to adjust to the constraints of their habitats. When we see sudden declines in a population, we seek an explanation such as disease or pollution. But populations can boom when there are too few animals in the habitat and crash when there are too many, without any special intervention or disaster.
The Verhulst model is very widely used. It's a good topic for students
in middle and high schools, an example of using technology to explore "real
life" mathematics experimentally.
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Posted August 1, 1997. Features remain online as long as they remain current; they may be updated if new information becomes available.
Copyright © 1997, Center for Mathematics and Science Education. Teachers have permission to duplicate this page for use in teaching their own classes. All other rights reserved. You are welcome to link to this page, but do not copy its contents. "Claris Works" is a trademark of the Claris Corporation.
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