Statistical analyses
For the pollination treatments, a generalized linear model (GLM) with
binomial distribution and logistic-link function was used to detect the
effects of the treatments on the seed set (with seed number as event
variable, total ovule number as trial variable and different treatments
as factors) and fruit set (with fruit number as event variable, total
treated flower number as trial variable, and different treatments as
factors). We also performed a GLM with normal distribution and
identity-link function to test for differences in the visitation rates
(with visitation rate as the dependent variable, and pollinator species
as factors) and pollination efficiency (with pollination efficiency as
the dependent variable, and pollinator species as factors) of various
pollinator species. To compare pollen removal and pollen deposition
among pollinator species, data were analyzed with a GLM with Poisson
distribution and loglinear-link function (with pollen number as a
dependent variable and different treatments as factors). We carried out
a Pearson correlation analysis to determine the relationship between the
body size and the pollination efficiency of various pollinator species
in H. mutabilis . All statistical analyses were performed in SPSS
V. 19.0 (SPSS Inc., USA).