. 2016 Feb 23;6:22132. doi: 10.1038/srep22132

Table 2. Whole-model R ² values for multiple regression analyses of biomass and diversity in a series of models with increasing numbers of independent variables.

Model	Biomass	Richness	Shannon	Simpson
Latitude	0.024ns	0.067*	0.036ns	0.004ns
MAT	0.005ns	0.013ns	0.002ns	0.009ns
MAP	0.136***	0.131***	0.083*	0.047ns
MAT & MAP	0.168*	0.173*	0.143*	0.113ns
Human density	0.227***	0.562***	0.249***	0.142**
Livestock density	0.178***	0.497***	0.285***	0.179***
Human & livestock	0.267***	0.582***	0.263***	0.192*
Climate + disturbance	0.311***	0.623***	0.386***	0.355***

Overall model significance is: ns (not significant, P > 0.05), *(P < 0.05), **(P < 0.01) or ***(P < 0.001). The ‘Climate’ models include mean annual temperature (MAT) and mean annual precipitation (MAP). The ‘Disturbance’ models include densities of humans and livestock. The ‘Climate + disturbance’ models include the two sets combined.

Table 2. Whole-model R 2 values for multiple regression analyses of biomass and diversity in a series of models with increasing numbers of independent variables.

Table 2. Whole-model R ² values for multiple regression analyses of biomass and diversity in a series of models with increasing numbers of independent variables.