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

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

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