Summary of model comparisons showing effects of covariates on detection probability (Step 1) and occupancy (Step 2) of red panda <i>Ailurus fulgens</i> (n = 54 sites).

<p>Akaike’s information criterion (AIC), change in AIC (ΔAIC), Akaike weights, model likelihood, number of parameters (K), and deviance (-2log-likelihood). Covariates used are: <i>bam</i>, proportion of bamboo availability; <i>for</i>, proportion of forest area; <i>lvs</i>, livestock grazing intensity; <i>bex</i>, intensity of bamboo extraction; <i>elv</i>, average elevation in a site; <i>eff</i>, number of replicates surveyed in each site.</p>