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. 2020 Oct 20;194(3):465–480. doi: 10.1007/s00442-020-04785-8

Table 2.

Relationship between response variables and Julian day

Response Type Fixed effect Estimate ± SE z/t p value
Flower cover
 Total flower cover Beta Julian day − 0.560 ± 0.084 − 6.641  < 0.001
 Exotic flower cover Beta Julian day 0.119 ± 0.065 1.834 0.067
 Native flower cover Beta Julian day − 0.769 ± 0.010 − 7.720  < 0.001
 Proportion exotic flower cover Beta Julian day 0.738 ± 0.085 8.673  < 0.001
Flower visits
 Total flower visits Poissona Julian day − 1.005 ± 0.102 − 9.821  < 0.001
 Visits to exotic flowers Poissona Julian day − 0.030 ± 0.118 − 0.251 0.802
 Visits to native flowers Poissona Julian day − 1.055 ± 0.109 − 9.705  < 0.001
 Proportion visits to exotic flowers binomiala Julian day 0.653 ± 0.167 3.919  < 0.001
Flowering-plant species richness
 Total flowering plant species Poisson Julian day − 0.062 ± 0.027 − 2.019 0.032
 Exotic flowering plant species Poisson Julian day 0.284 ± 0.053 5.342  < 0.001
 Native flowering plant species Poisson Julian day − 0.196 ± 0.037 − 5.245  < 0.001
 Prop. exotic flow. plant species Binomial Julian day 0.429 ± 0.055 7.775  < 0.001
Visited plant species richness
 Total visited plant species Poisson Julian day − 0.231 ± 0.046 − 4.991  < 0.001
 Exotic visited plant species Poisson Julian day 0.271 ± 0.077 3.510  < 0.001
 Native visited plant species Poisson Julian day − 0.471 ± 0.060 − 7.829  < 0.001
 Prop. visited exotic plant species Binomial Julian day 0.720 ± 0.094 7.663  < 0.001
Flower visitors
 Flower-visitor species richness Poissona Julian day − 0.500 ± 0.083 − 6.041  < 0.001
 Proportion non-honey bee visits Binomiala Julian day 0.664 ± 0.144 4.613  < 0.001
Network indices
 Shannon interaction diversity Linear Julian day 2.619 ± 0.383 6.838(102.4)  < 0.001
Julian day^2 − 2.657 ± 0.367 − 7.250(113.0)  < 0.001
 Linkage density Linear Julian day 1.936 ± 0.469 4.126(113.0)  < 0.001
Julian day^2 − 1.841 ± 0.450 − 4.088(113.0)  < 0.001
 H2′ Linear Julian day 0.025 ± 0.049 0.503(92.0) 0.616

Reported model parameters have been estimated with glmms (see ‘Type’) and are excerpts from the full models shown in Tables S2 and S4. p values of Poisson, binomial and beta models are based on z statistics (with each variable accounting for 1 df in the nominator of the 137 df in the denominator), p values for linear mixed models are based on t statistics of Satterthwaite-approximated degrees of freedom (given as subscript to t values). Significant relationships (at p < 0.05) are in bold

aModel with observation-level random effect