Snapshot 1: relatively small fluctuations and low threshold
Snapshot 2: relatively large fluctuations and low threshold
Snapshot 3: relatively large fluctuations and high threshold
Snapshot 4: very small fluctuations and low threshold
There are many stochastic models of populations. This Demonstration addresses a special case of organismic populations whose observed size fluctuates following the model
is the number of individuals after
(arbitrary) time units, and
are the logarithmic mean and standard deviation that you can choose with the sliders, and
is a random number between zero and one (
) drawn from a uniform distribution.
If the population size hits a low
being the threshold you chose, the population becomes extinct, and all successive counts equal zero . The program generates a number of random records using the chosen parameters, retains the extinction times according to the above criterion, and plots their histogram. It then superimposes on the histogram the PDF of the exponential distribution having the same mean as that of the extinction times and draws the corresponding quantile-quantile (q-q) plot.
The model parameters
, the generation parameters, the number of runs, and the run length
, as well as the seed value, are entered with sliders. You can also view any individual run by selecting its index with a slider.
 M. Peleg, Advanced Quantitative Microbiology for Foods and Biosystems: Models for Predicting Growth and Inactivation
, Boca Raton, FL: CRC Press, 2006.