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. 2016 Jun 20;118(2):227–237. doi: 10.1093/aob/mcw097

Table 1.

Generalized Linear Models of relationships between floral morphology, pollination, seed predation and seed production (all populations analysed jointly), as supported by the AICc model selection procedure (those with minimum AICc values were assumed to be best)

1. Determinants of pollination (number of pollen grains on stigmas)
a. Full model Pollen = constant + exsertion + lip width + population + population × exsertion + population × lip width AICc = 1728·99
b. Best interaction model Pollen = constant + exsertion + lip width* + population + population × exsertion AICc = 1714·83
c. Best model Pollen = constant + exsertion** + lip width + population*** AICc = 1700·10
2. Determinants of seed predation
a. Full model Seed predation = constant + exsertion*** + lip width + pollen** + population + population × pollen + population × exsertion + population × pollen + population × lip AICc = –128·48
b. Best interaction model Seed predation = constant + exsertion*** + lip width* + pollen* + population + population × exsertion AICc = –151·03
c. Best model Seed predation = constant + exsertion*** + lip width* + pollen* + population*** AICc = –156·11
3. Determinants of initial seed set
a. Full model Initial seed set = constant + exsertion* + lip + pollen*** + population*** + population × exsertion + population × lip* + population × pollen AICc = –452·54
b. Best interaction model Initial seed set = constant + pollen** + population** + population × pollen AICc = –480·30
c. Best model Initial seed set = constant + population*** + pollen*** AICc = –493·44
4. Determinants of total surviving seeds
a. Full model Total seeds = constant + pollen + initial seed set*** – seed predation + exsertion + lip + population*** + population × initial seed set*** + population × seed predation*** + population × pollen + population×exsertion*** + population × lip + population × initial seed set × predation*** + population × initial seed set × predation × exsertion *** AICc = –971·091
b. Best model Total seeds = constant + initial seed set*** – seed predation + population*** + population×initial seed set*** + population × seed predation*** population × exsertion*** + population × initial seed set × predation*** + population × initial seed set × predation × exsertion *** AICc = –1000·03

All proportions were arcsin-squareroot transformed to meet model assumptions of normality. (These transformations resulted in slightly lower AICs compared with untransformed data, but did not substantially change the results.) Models 1 and 3 are based on data from populations 1–14, whereas models 2 and 4 are based on data from populations 1, 3, 5 and 8–11. Note that Model 4 has only two models listed because the interaction model had a lower AIC than the no-interaction model.

Wald χ2 P-values for model-term effects:

*P < 0·05;

**P < 0·01;

***P < 0·001; no asterisk: P > 0·05.