Fig. 7.

Predictive power of reduced model in the presence of noise. For networks $A$ (A and B) and $B$ (C and D), ensemble-averaged pollinator abundance (A and C) vs. $f_n$ and ensemble-averaged plant abundance (B and D) vs. $f_l$. The legends are the same as in Fig. 3. The notions SH and SL stand for values of the original average species abundance, respectively. UWAH, UWAL, DWAH, DWAL, EWAH, and EWAL denote unweighted average high, unweighted average low, degree-weighted average high, degree-weighted average low, eigenvalue-weighted average high, and eigenvalue-weighted average low, respectively. The parameters are $h=0.2$, $t=0.5$, ${\beta }_{ii}^{(A)}={\beta }_{ii}^{(P)}=1$, ${\alpha }_i^{(A)}={\alpha }_i^{(P)}=-0.3$, ${\mu }_A={\mu }_P=0.0001$, ${\gamma }_0=1$, and $\kappa =0$. Independent white Gaussian noises of strength 0.1 are added to the full evolutionary equations of the species.