Table 1.

Results of LMM explaining the biomass transfer efficiency (log₁₀(PPBR)). The best univariate explanatory variable is prey size diversity according to the Akaike information criterion corrected for sample size (AICc) and highlighted in italics. The most parsimonious model (with the lowest AICc) includes the interaction of predator and prey size diversities. Intrinsic variables (plankton) and extrinsic (environment) are separated by a division line. (*p < 0.05, **p < 0.005, ***p < 0.0005.)

response variable: log10(PPBR)
		slope
one explanatory variable	AICc	estimate	s.e.	t-value	p-value	d.f.
predator size diversity	221.03	0.497	0.145	3.423	0.001**	65
prey size diversity	209.99	−1.655	0.332	−4.980	<0.0001***	65
water salinity (SSS)	232.17	0.009	0.025	0.376	0.71	65
water temperature (SST)	225.68	0.046	0.018	2.614	0.011*	65
NO3	228.00	−0.147	0.071	−2.087	0.041*	65
PO4	227.95	−0.755	0.359	−2.098	0.040*	65
SiO3	223.86	−0.278	0.094	−2.955	0.004**	65
most parsimonious model: log10(PPBR) ∼ prey size diversity × predator size diversity AICc: 205.63.