Table 4. Output of the selected linear mixed - effect models (LMM).
A. | HE | Estimate | SE | t-value | p |
---|---|---|---|---|---|
Distribution | −0.098 | 0.017 | −5.803 | <0.001 | |
Megabombus | 0.013 | 0.035 | 0.371 | 0.710 | |
Melanobombus | 0.166 | 0.034 | 4.889 | <0.001 | |
Pyrobombus | 0.048 | 0.035 | 1.370 | 0.171 | |
Thoracobombus | −0.098 | 0.029 | −3.348 | <0.001 | |
B. | AR | Estimate | SE | t-value | p |
Distribution | −1.067 | 0.303 | −3.520 | <0.001 | |
Period | −0.280 | 0.940 | −0.298 | 0.766 | |
Megabombus | 0.988 | 0.803 | 1.229 | 0.219 | |
Melanobombus | 1.552 | 0.790 | 1.965 | 0.049 | |
Pyrobombus | 0.525 | 0.803 | 0.654 | 0.513 | |
Thoracobombus | −0.745 | 0.729 | −1.031 | 0.302 | |
Period * Megabombus | 0.239 | 1.052 | 0.228 | 0.820 | |
Period * Melanobombus | −0.758 | 1.030 | −0.736 | 0.462 | |
Period * Pyrobombus | 2.061 | 1.069 | 1.927 | 0.054 | |
Period * Thoracobombus | 0.291 | 0.988 | 0.294 | 0.768 |
Impact of the different factors in the models on A. HE and B. AR. With the estimate, standard error (SE) and p-value of each factor or interaction in the model obtained by t-tests. Significant factors are indicated in bold.