Table A4.

Synchrony in per capita growth rates of primary producer species^*.

Scenario (in-data)			Synchrony of basal species growth rate
Prey preference	Correlation	Species richness	Average synchrony	Standard deviation synchrony	n
Skew	0.1	6	−0.04	0.05	97
Skew	0.1	12	0.01	0.06	100
Skew	0.1	18	0.01	0.07	100
Skew	0.1	24	0.03	0.06	100
Skew	0.5	6	0.38	0.04	98
Skew	0.5	12	0.38	0.05	100
Skew	0.5	18	0.38	0.05	100
Skew	0.5	24	0.37	0.07	100
Skew	0.9	6	0.85	0.02	100
Skew	0.9	12	0.84	0.02	100
Skew	0.9	18	0.84	0.02	100
Skew	0.9	24	0.84	0.02	100
Even	0.1	6	−0.03	0.06	98
Even	0.1	12	0.01	0.05	100
Even	0.1	18	0.01	0.07	100
Even	0.1	24	0.03	0.07	100
Even	0.5	6	0.37	0.04	97
Even	0.5	12	0.37	0.04	100
Even	0.5	18	0.38	0.05	100
Even	0.5	24	0.38	0.05	100
Even	0.9	6	0.85	0.01	99
Even	0.9	12	0.85	0.01	100
Even	0.9	18	0.85	0.01	100
Even	0.9	24	0.85	0.01	100

^*Synchrony is the pairwise correlation (Pearson's linear correlation coefficient) over time between the per capita growth rates of two populations of primary producer species. For each replicate, one pair was chosen at random among the primary producer species in the web. The only criterion was that the species had to have survived for at least 100 time steps. This was to ensure that the time series would be long enough to give a reliable correlation value for the time series. In some cases, there were less than two species that fulfilled this criterion. Thus, synchrony could not always be calculated, leading to a sample size, n, of less than 100 (the number of replicates simulated). Average synchrony is the average correlation over all the replicates and standard deviation synchrony is the standard deviation of the same dataset.