Figure 1.
Vertebrate species richness pattern of China at the scale of 100×100 km.
The species richness was calculated by overlaying the distributions of mammals, birds, reptiles and amphibians. The colour gradient represented vertebrate species richness.
Figure 2.
Spatial correlograms (Moran's I coefficients) for the VSR and the residuals of the best-fit GLMs of energy, environmental stability, and habitat heterogeneity variable groups.
Ten distance classes (100, 200, 300, 400, 500, 600, 700, 800, 900, and 1000 km) were included. The dotted lines represented the Moran's I values of 0.2 and −0.2.
Table 1.
The best-fit models among the VSR and energy, environmental stability, and habitat heterogeneity variables, based on AIC-based model selection.
Table 2.
Relative importance of the predictive variables in energy, environmental stability, and habitat heterogeneity variable groups.
Figure 3.
Relationships between vertebrate species richness and the variables included in the best-fit model that testing the three species richness hypotheses.
Linear and second-order polynomial models were used and only the models with higher explanatory powers (R2) were showed here. ASP was defined as (class: label (value range)) North: 1 (337.5° (−22.5°) −22.5°), Northeast: 2 (22.5°–67.5°), East: 3 (67.5°–112.5°), Southeast: 4 (112.5°–157.5°), South: 5 (157.5°–202.5°), Southwest: 6 (202.5°–247.5°), West: 7 (247.5°–292.5°) and Northeast: 8 (292.5°–337.5°(−22.5°)) (0° was defined as the direction of north).