Table 3. Percentage of independent, joint and total explained variance for each considered variable.

Data set-1				Lesser Kestrel Data set				Egyptian Vulture Data set
Variables	Independent	Joint	Total	Variables	Independent	Joint	Total	Variables	Independent	Joint	Total
XA	4.10	−3.79	0.30	AUTOCOV4	10.63	20.85	31.48	COWS	2.49	0.48	2.97
XB	4.35	−3.70	0.64	BUILDUP	1.75	−0.66	1.10	ELEVATION	8.94	18.51	27.45
XC	4.03	−3.50	0.53	DCOLONY10	3.71	7.16	10.87	HEIGHT	1.45	−1.42	0.03
XD	4.05	−3.93	0.12	DROOST	4.82	4.66	9.48	LENGTH	2.74	2.03	4.77
XE	5.91	0.59	6.50	EDGE	1.36	−1.01	0.36	LIVESTOCK	1.67	−1.67	0.01
XF	5.15	−0.48	4.67	EFFORT	2.37	1.65	4.02	NEIGHBOUR	2.44	4.19	6.63
XG	4.96	0.40	5.37	FARMLAND	5.98	12.74	18.72	PASTURE	2.74	2.25	4.99
XH	4.68	−1.12	3.56	FOREST	4.59	9.91	14.50	PATCH	5.34	13.02	18.36
XI	8.63	9.26	17.88	GRASSLAND	1.30	−0.96	0.34	ROAD	3.67	4.36	8.03
XJ	5.78	8.36	14.14	SHANDIVER	2.68	4.76	7.44	SHEEP	0.37	−0.30	0.07
XK	9.84	9.73	19.58	WIRE	2.13	−0.43	1.70	SHRUB	6.32	20.36	26.68
XL	10.35	16.36	26.71					SLOPE	2.09	−2.07	0.02

Total: Total explained variance, correlation (in “R²”) of each of the variables with the response variable (for example, X_A, X_B, X_C and X_D have a correlation coefficient with the response variable Y, r<0.10, i.e. each of them explain <1% of the variance of the response variable, r²<1%).

Joint: Negative joint variance indicates that the other variables act as suppressors of the particular variable.

Variables: The variable order shown in the tables is the order used (i.e. alphabetic order) for this particular analysis of hierarchical partitioning.