ations" class="anchor"></a>Example: Estimating autocorrelation in colored noise populations</h2>
<p>We now suspect, based on estimates of colored noise, that long time series are required in order to detect positive temporal autocorrelation without bias. However, the problem becomes even more complex when we use colored noise to simulate populations. Now, the environmental stochasticity we’re modeling as colored noise is compounded by demographic stochasticity, the random drift resulting from the discrete