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Fig. 6 in Preliminary assessment of abundance and distribution of Dholes Cuon alpinus in Rimbang Baling and Tesso Nilo landscapes, Sumatra

Fig. 6. The land cover chart above shows the mean response of the 100 replicate Maxent runs (front) and the mean +/– one standard deviation (two shades for categorical variables). Number 5 is the forest cover variable (details of variables can be seen in Table 1).

Fig. 3 in Preliminary assessment of abundance and distribution of Dholes Cuon alpinus in Rimbang Baling and Tesso Nilo landscapes, Sumatra

Fig. 3. Activity pattern graph of dholes in each sampling block based on density estimates of the daily activity patterns by using kernel density estimation following Linkie & Ridout (2011). RB2012 is northeastern Rimbang Baling (n=41), RB2014 is northwestern Rimbang Baling (n=106), RB2015 is southern Rimbang Baling (n=18), TN2013 is Tesso Nilo (n=35), CA2012 is Bukit Bungkuk (n=70), and HL2013 is Bukit Betabuh (n=5). Black-dashed lines indicate the approximate edge of night and dusk or dawn. Red-dashed lines indicate the approximate edge of both dusk or dawn with nights and day. The solid line is the kernel density of dholes. X-axis indicates the time of individual photographs and Y-axis indicates the kernel density.

Fig. 2 in Preliminary assessment of abundance and distribution of Dholes Cuon alpinus in Rimbang Baling and Tesso Nilo landscapes, Sumatra

Fig. 2. Activity pattern graph of dholes (n=275) in all sampling blocks in Sumatra based on density estimates of the daily activity patterns by using kernel density estimation following Linkie & Ridout (2011). Black-dashed lines indicate the approximate edge of night and dusk or dawn. Red-dashed lines indicate the approximate edge of both dusk or dawn with nights and day. The solid black line is the kernel density of dholes. X-axis indicates the time of individual photographs and Y-axis indicates the kernel density.

Fig. 5 in Preliminary assessment of abundance and distribution of Dholes Cuon alpinus in Rimbang Baling and Tesso Nilo landscapes, Sumatra

Fig. 5. Map of predicted distribution model of dholes generated by MaxEnt, with median summary grids and percent contributions of variables which were 83.3% for land cover, 8.7% for road, 6.5% for river, and 1.5% for elevation.

Fig. 4 in Preliminary assessment of abundance and distribution of Dholes Cuon alpinus in Rimbang Baling and Tesso Nilo landscapes, Sumatra

Fig. 4. Curve of the receiver operating characteristic (ROC). The average test AUC for the replicate runs is 0.903 and the standard deviation is 0.025. This graph was generated by modelling in MaxEnt from 30 dhole locations with four habitat variables: land cover, road, elevation, and river. The random test percentage was 25 with 100 replicates and 1000 maximum iterations. The AUC result of the study was closer to 1 which indicates better model performance. The best AUC has an AUC of 1. The maximum AUC is therefore less than one and is smaller for wider-ranging species (Phillips et al., 2004).

Fig. 1 in Preliminary assessment of abundance and distribution of Dholes Cuon alpinus in Rimbang Baling and Tesso Nilo landscapes, Sumatra

Fig. 1. Map of sampling blocks and camera stations in Bukit Rimbang Bukit Baling Wildlife Reserve, Bukit Betabuh Protected Forest, Bukit Bungkuk Nature Reserve, and Tesso Nilo National Park.

Fig. 5 in Comparative movement analysis for a sympatric dhole and golden jackal in a human-dominated landscape

Fig. 5. Dhole (column A) and jackal (column B) step length and turning angle distributions of encamped (black) and exploratory (grey) behavioral states. Turning angles (in degrees) for both the encamped and exploratory states are plotted on the same polar plot for each species.

Fig. 4 in Comparative movement analysis for a sympatric dhole and golden jackal in a human-dominated landscape

Fig. 4. Comparison of both species' daily activity patterns. Smoothing was achieved by averaging over 4 hour time intervals. The 95% confidence intervals were estimated from the standard error of the mean step length.

Fig. 3 in Comparative movement analysis for a sympatric dhole and golden jackal in a human-dominated landscape

Fig. 3. Autocorrelation function (ACF) of: A, the dhole; and B, the jackal step length. Data points above the dotted line are classified as autocorrelated.

Fig. 2 in Comparative movement analysis for a sympatric dhole and golden jackal in a human-dominated landscape

Fig. 2. Decile-shaded isopleths of convex hull home ranges for the dhole and jackal in Khao Ang Rue Nai Wildlife Sanctuary, Thailand.

Fig. 1 in Comparative movement analysis for a sympatric dhole and golden jackal in a human-dominated landscape

Fig. 1. Dhole and jackal relocations overlaid on a land cover map of Khao Ang Rue Nai Wildlife Sanctuary, Thailand.

Fig. 6. A in Comparative movement analysis for a sympatric dhole and golden jackal in a human-dominated landscape

Fig. 6. A, Semi-variance comparison of dhole and jackal positions. Since the dhole was monitored for a shorter time than the jackal (due to collar malfunctions), we present comparative data for this shorter time period. B, The complete jackal semi-variogram. Both semi-variograms are limited in scope to the first two thirds of the data, since estimates in the last third of the semi-variogram has very large confidence intervals. Semi-variance and 95% confidence intervals (CI) estimated from the standard error of the mean semivariance, were smoothed using a moving average over 20 lags.