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A linear relation between log variance and log mean (Taylor's law) described accurately and robustly how variability in population size changed with mean population size in P. fluorescens bacteria.
In particular (strain section in Table 1), WT strains had slopes significantly less than 2, while MutS strains had slopes not significantly different from 2. Hence, for a given increase in mean population size, the variances of WT populations increased by a smaller amount than the variances of MutS populations.
Thus, FI measures the average one-step fluctuation in population size across generations, scaled by the mean population size.
At each value of μ, the mean population size is averaged over five realizations of the simulation.
For values of μ beyond this point, diversity increases with μ, reaching a plateau as the mean population size approaches its asymptotic limit.
Figures 3a and 3b suggest that, for low values of μ, the mean population size correlates with the mean number of clusters.
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Fenpropimorph had no significant effect on either of these two groups, for which mean population sizes seemed to interact in a prey predator manner.
Mean population sizes ranged much more widely for some genetic strains and experimental treatments than for others, but whether these differences in mean affected the variance within sets of replicates, that is, the mean-variance relationship, was not clear without further investigation.
The annual mean population sizes were used to assess the number of person years.
ANOVA was used to test for population differences in egg size and for associations between mean population egg size and survival or the timing of hatching.
When mean population plant size was included in the regression analysis for 2010, mean population fruit set was not correlated to population size (t31 = − 1.700, P = 0.099).
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