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. 2017 Oct 2;114(42):11181–11186. doi: 10.1073/pnas.1702511114

Table S1.

Parameters used in the computational metacommunity model

Parameter Usage Value
βn Niche trait {0,1}
βd Dispersal trait {0,1}, 1 = best disperser, 0 = never disperses
ρ Density of species entering pool 0.001 or 0.1
ntrickle The number of species entering the system each iteration 100
ndisp The number of species chosen from the metacommunity to join the host community each step 5
ni The density of species i
αι,φ The competition coefficient between species i and j Between 0 and 1
σ The width of the competition kernel 0.1
niches The number of peaks in the carrying-capacity function 3
δ Offset of the carrying-capacity function Mean of 0.0 or 0.5
τ The mean number of timesteps for the Lotka–Volterra competition dynamics to run 10
pf, pd, p0 The probability of feeding, dispersal, or no event 0.49, 0.49, 0.02
f Feeding factor 0.1
b Steepness of the remaining density curve 6