Distinct habitat types found at the study site.

<p>Adapted from Nijman [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151732#pone.0151732.ref017" target="_blank">17</a>].</p

Model-averaged predicted occupancy (Ψ) in relation to (a) The distance from the nearest border (95% CI = 0.194. -1.040), (b) Litter depth (95% CI = 0.454, -0.146), (c) Altitude (95% CI = 0.179, -0.716) and (d) Tree density (95% CI = 0.304, -0.121).

<p>Predictor variables were log transformed.</p

Parameter estimates for <i>S</i>. <i>blouchi</i> included in the REM.

<p>Parameter estimates for <i>S</i>. <i>blouchi</i> included in the REM.</p

Camera trapping sampling precision for <i>S</i>. <i>blouchi</i>.

<p>Sampling precision was expressed as CV of <i>S</i>. <i>blouchi</i> camera trap rate with cumulative sampling effort (number of camera trap days) in the protected areas.</p

Beta coefficients ± standard errors for the categorical) in the top 13 AICc models competing for first ranking model.

<p>Variables Habitat type (1 = Shrubland & Degraded forest; 2 = Teak stands; 3 = Tall forest; 4 = Community forest, reference category, not included) and Area (1 = Gunung besar; 2 = Payung-payung; 3 = Kumalasa, reference category, not included.</p

Top 13 AICc models competing for first ranking model.

<p>Beta coefficients ± standard errors for each covariate are listed. The presence of categorical variables Habitat type and Area in the models is indicated with the • symbol.</p

Proportion of observations per time of day spent active fitted with a line function using the activity package in R [33] to determine proportion of time spent active.

<p>Vertical lines indicate sunrise and sunset at approximately 05.30 and 17.50 year-round.</p