Table 1.
Testing the sample area effect for two models
| δ | βL (ML + F) | βF (ML + F) | βL (ML) | βF (MF) | AIC ML + F | AIC ML | AIC MF | AIC M null | |
|---|---|---|---|---|---|---|---|---|---|
| H | 1 | 0.43 | 0.02 | 0.48 | 0.13 | 0 | 4.18 | 334.85 | 1116.4 |
| H | 3 | 0.43 | 0.02 | 0.48 | 0.21 | 0 | 5.73 | 569.25 | 2712.16 |
| H | 10 | 0.29 | 0.08 | 0.4 | 0.25 | 0 | 86.46 | 404.52 | 2819.03 |
| P | 1 | 0.41 | 0.03 | 0.47 | 0.13 | 0 | 9.78 | 301.38 | 1101.75 |
| P | 3 | 0.48 | 0 | 0.48 | 0.21 | 1.9 | 0 | 701.21 | 2872.84 |
| P | 10 | 0.29 | 0.07 | 0.38 | 0.24 | 0 | 64.7 | 423.59 | 2534.52 |
| A | 1 | 0.34 | 0.01 | 0.36 | 0.13 | 0 | 0.07 | 330.02 | 1283.33 |
| A | 3 | 0.37 | −0.01 | 0.36 | 0.17 | 1.25 | 0 | 626.2 | 2496.63 |
| A | 10 | 0.26 | 0.02 | 0.29 | 0.17 | 0 | 8.53 | 565.51 | 2155.28 |
The row labels H, P and A denote the three modes (passive/hostile, passive/habitable and active/habitable) and δ denotes the average dispersal distance. Here, L denotes the log‐transformed total amount of habitat in the local landscape and F the log‐transformed area of the fragment. There are three regression models that explain the number of species given L and/or F. The columns βx(M) give the coefficient for explanatory variable x in model M. The last four columns give the ∆AIC values for each model and the null model.