Table 3.

Generalized linear mixed models (GLMMs) investigating the predictors of the proportion of undescribed (a) amphibian species and (b) mammals species ranked by AIC_c. Predictor terms shown are HF = human footprint index and TropFor = tropical forest biome or not. Also shown are the number of parameters (k), log likelihood (LL), the difference in AIC_c of each model from the highest ranked model (ΔAIC_c), AIC_c weights representing the probability of each model being the best (wAIC_c), and the per cent deviance explained by each model (%DE).

rank	model	k	LL	AICc	ΔAICc	wAICc	%DE
(a) amphibians (n = 42 realm-biomes)
1	∼HF + TropFor + HF*TropFor	5	−332.39	676.49	0.00	≈1	54.62
2	∼HF + TropFor	4	−402.76	814.63	138.14	≈0	45.01
3	∼HF	3	−557.36	1121.37	444.88	≈0	23.90
4	∼TropFor	3	−582.66	1171.98	495.49	≈0	20.44
5	null (intercept only)	2	−732.38	1469.08	792.59	≈0
(b) land mammals (n = 52 realm-biomes)
1	∼HF + TropFor + HF*TropFor	5	−103.48	218.26	0.00	≈1	43.50
2	∼HF + TropFor	4	−143.45	295.74	77.49	≈0	21.68
3	∼TropFor	3	−153.80	314.11	95.85	≈0	16.02
4	∼HF	3	−177.49	361.48	143.23	≈0	3.09
5	null (intercept only)	2	−103.48	218.26	0.00	≈0