Table 1.
Distance | AIC | minRSA | Max I | R2 | Vtotal | VC | VH | VCH | |
---|---|---|---|---|---|---|---|---|---|
Mean | 300 | 4989 | 0.232 | 0.053 | 0.690 | 0.364 | 0.134 | 0.057 | 0.173 |
SD | 500 | 3435 | 0.174 | 0.058 | 0.520 | 0.383 | 0.186 | 0.028 | 0.169 |
Distance: radius (in km) used to define the neighbourhood matrix. AIC, Akaike's information criterion; minRSA, residual spatial autocorrelation (summed absolute Moran's I values of the first 20 distance classes); Max I, maximum Moran's I in the first 20 distance classes; R2, pseudo-R2, squared Pearson correlation between predicted and observed values; Vtotal, variation (R2) explained in full models; Vc, unique contribution of climate stability; VH, unique contribution of habitat area; VCH, shared effect of climate stability and habitat area.