Table 1.

Estimates of seed and pollen dispersal kernel parameters

Dispersal kernel	1/δ	s.e	b	s.e.	Σwm
Seeds
Exponential	0.0334	0.0029			0.042
Tufto	0.0297	0.0071			0.001
Exponential-Power	0.0285	0.0043	0.6004	0.1348	0.346
Weibull	0.0308	0.0037	1.1810	0.1292	0.189
Lognormal	0.0214	0.0050	1.0574	0.1148	0.119
Power-law	0.0246	0.0076	5.0743	1.9135	0.303
Multimodel mean	0.0271	0.0064
Pollen
Exponential	0.0184	0.0021			0.000
Tufto	0.0064	0.0040			0.051
Exponential-Power	0.0065	0.0044	0.2727	0.1053	0.283
Weibull	0.0104	0.0037	0.8967	0.1421	0.142
Lognormal	0.0039	0.0031	1.5019	0.2626	0.386
Power-law	0.0006	0.0004	3.0299	0.0246	0.137
Multimodel mean	0.0052	0.0045

Note that estimates were obtained as multimodel averages.

δ, mean dispersal distance; b, shape parameter; s.e., standard error (computed taking into account both the within- and between-models uncertainty); Σw_m, relative probability of the model estimated as a sum of Akaike weights for a given dispersal model across all competing dispersal models of the opposite-sex propagule (i.e. seeds vs. pollen).