How can one population, in one place, with no geographic barrier, split into two species? This playground dramatizes Ian Stewart's answer: sympatric speciation as a symmetry-breaking bifurcation. A population of birds spread along a trait axis stays a single cluster until competition crosses a threshold, then spontaneously splits in two. The Gaussian machinery underneath is exact and checkable; the speciation story is the interpretation it supports.
Picture each bird as a point on a one-dimensional trait axis, say beak size, between 0 and 1. Two forces act on it:
The model steps each bird's trait under the balance of these forces. The calibration panel pins the kernels directly: the feeding peak height at a matched trait, the resource peak, the symmetry of the resource curve about its mean, and the drop to e^(-1/2) of the peak one standard deviation away.
The interesting behaviour is governed by a single bifurcation parameter, the strength of competition. When it is weak, a single tight cluster at the resource peak is stable: everyone eats the best seeds and the symmetric state holds. As competition strengthens past a critical value, that symmetric state loses stability. Sitting together becomes too costly, and the population splits into two clusters that specialize on either side of the resource peak.
This is a pitchfork bifurcation, the same mathematics as a buckling beam or a magnet picking a direction below its critical temperature. Speciation here is literally spontaneous symmetry breaking: the system had a symmetric option, the symmetry became unstable, and it picked a split. The bifurcation diagram sweeps the competition parameter and shows the single branch forking into two.
The Gaussian resource and feeding kernels are deterministic and exact, and the calibration verifies them. The dynamics are deterministic Euler steps, with one exception: initial bird positions carry a tiny random perturbation (you need to break the perfect symmetry for the split to choose a direction), so individual runs differ slightly while the qualitative fork is robust. That is why the calibration targets the kernels, not a specific trajectory.
The reading of all this as biological speciation is a model, not a measurement. Real speciation involves genetics, assortative mating, and ecology this one-dimensional trait model leaves out. What the playground demonstrates is the mechanism, how competition alone can make one cluster become two, not the speciation history of any real lineage.