Spatial distribution of display sites of Grey Peacock-pheasant in relation to micro-habitat and predators during the breeding season

Table 2 Ranking microhabitat candidate model for used location in breeding season and display scrape location scrape

Model	K	AIC_c	ΔAIC_c	w _i	LL	ROC
Used candidate model
BA + Slp + TreeCCS + Ele	5	145.92	0	0.23	− 67.79	0.8887
BA + Slp + TreeCCS + Ele + VertD	6	146.28	0.36	0.20	− 66.90	0.8919
BA + Slp + TreeCCS + Ele + DENSPL	6	146.83	0.91	0.15	− 67.17	0.8892
BA + Slp + TreeCCS + Ele + DENINS	6	147.20	1.28	0.12	− 67.36	0.8867
BA + Slp + TreeCCS + Ele + DENFRU	6	147.40	1.48	0.11	− 67.46	0.8928
BA + Slp + TreeCCS + Ele + DENTR	6	147.63	1.71	0.10	− 67.57	0.8886
BA + Slp + TreeCCS + Ele + Asp	6	147.93	2.0	0.09	− 67.72	0.8810
Null.model	1	210.80
Display scrape candidate model
VertD + Slp + BA + DENINS	5	85.43	0	0.55	− 37.59	0.9855
VertD + Slp + BA + DENSPL	5	85.86	0.43	0.45	− 37.80	0.9851
VertD + Slp + BA + TreeCCS	5	87.99	2.55		− 37.87	0.9848
Null.model	1	338.60

Based on K = number of model parameter, Akaike’s information criterion (AIC_c), ΔAIC_c = AIC for a given model minus AIC for the top model. w_i = Akaike model weight, and LL is the log-likelihood. Competitive model (ΔAIC_c < 2), ROC = Receiver operating curve to indicating the true positive

ISSN: 2053-7166