Table 1. List of models associated with their respective hypotheses.
| Model group | Model | Parameters |
|---|---|---|
| G1 | Local vegetation | |
| y = β 0 + β 1 LV | 3 | |
| G2 | Proximal landscape structure | |
| y = β 0 + β 1 PPA + β 2 PLC + β 3 PLD | 5 | |
| y = β 0 + β 1 PPA + β 2 PLC | 4 | |
| y = β 0 + β 1 PPA + β 2 PLD | 4 | |
| y = β 0 + β 1 PLC + β 2 PLD | 4 | |
| y = β 0 + β 1 PPA | 3 | |
| y = β 0 + β 1 PLC | 3 | |
| y = β 0 + β 1 PLD | 3 | |
| G3 | Broad landscape structure | |
| y = β 0 + β 1 BPA + β 2 BLC + β 3 BLD | 5 | |
| y = β 0 + β 1 BPA + β 2 BLC | 4 | |
| y = β 0 + β 1 BPA + β 2 BLD | 4 | |
| y = β 0 + β 1 BLC + β 2 BLD | 4 | |
| y = β 0 + β 1 BPA | 3 | |
| y = β 0 + β 1 BLC | 3 | |
| y = β 0 + β 1 BLD | 3 | |
| G4 | Multi-level combined effect | |
| y = β 0 + β 1 LV + β 2 PPA + β 3 BPA | 5 | |
| y = β 0 + β 1 LV + β 2 PPA + β 3 BLC | 5 | |
| y = β 0 + β 1 LV + β 2 PPA + β 3 BLD | 5 | |
| y = β 0 + β 1 LV + β 2 PLC + β 3 BPA | 5 | |
| y = β 0 + β 1 LV + β 2 PLC + β 3 BLC | 5 | |
| y = β 0 + β 1 LV + β 2 PLC + β 3 BLD | 5 | |
| y = β 0 + β 1 LV + β 2 PLD + β 3 BPA | 5 | |
| y = β 0 + β 1 LV + β 2 PLD + β 3 BLC | 5 | |
| y = β 0 + β 1 LV + β 2 PLD + β 3 BLD | 5 | |
| y = β 0 + β 1 LV + β 2 PPA | 4 | |
| y = β 0 + β 1 LV + β 2 PLC | 4 | |
| y = β 0 + β 1 LV + β 2 PLD | 4 | |
| y = β 0 + β 1 LV + β 2 BPA | 4 | |
| y = β 0 + β 1 LV + β 2 BLC | 4 | |
| y = β 0 + β 1 LV + β 2 BLD | 4 | |
| y = β 0 + β 1 PPA + β 2 BPA | 4 | |
| y = β 0 + β 1 PPA + β 2 BLC | 4 | |
| y = β 0 + β 1 PPA + β 2 BLD | 4 | |
| y = β 0 + β 1 PLC + β 2 BPA | 4 | |
| y = β 0 + β 1 PLC + β 2 BLC | 4 | |
| y = β 0 + β 1 PLC + β 2 BLD | 4 | |
| y = β 0 + β 1 PLD + β 2 BPA | 4 | |
| y = β 0 + β 1 PLD + β 2 BLC | 4 | |
| y = β 0 + β 1 PLD + β 2 BLD | 4 | |
| Null model | No effect | |
| y = β 0 | 2 |
G1—Local vegetation; G2—Proximal landscape structure; G3—Broad landscape structure; G4 Multi-level combined effect; Null model—no effect; β 0—intercept; β 1, β 2 and β 3—parameters associated with the respective variables; LV—local vegetation; PPA—Proximal landscape proportion of agricultural cover; PLC—Proximal landscape configuration; PLD—Proximal landscape diversity; BPA—Broad landscape proportion of agricultural cover; BLC—Broad landscape configuration; BLD—Broad landscape diversity; The number of parameters presented at the table are for the normal distribution used for interaction strength asymmetry and nestedness analysis; considering that the Poisson’s distribution was used for the number of links, in this case it is necessary to subtract one from the number of parameters for each model.