Fig 1.
Location of Nakhon Ratchasima province in Thailand (left), and the different area designations of the Sakaerat Biosphere Reserve (right), basemap provided by Global PALSAR (Global PALSAR-2/PALSAR/JERS-1 Mosaic and Forest/Non-Forest map, (c) JAXA).
Table 1.
Area-under-the-curve (AUC) and complexity, i.e. perimeter (m)/area (ha), for different methods.
We calculated complexity for the 50%, 95%, and 99% isopleths for KDE and the Brownian bridge methods, but only for the 95% for the MCP.
Fig 2.
Home range estimates for OPHA1 using a fixed-kernel density approach.
Home range estimates for OPHA1 using KDE with (A) manually selected bandwidth, (B) plug-in bandwidth, (C) href bandwidth, and (D) LSCV bandwidth.
Fig 3.
Home range estimates for OPHA2 using a fixed-kernel density approach.
Home range estimates for OPHA2 using KDE with (A) manually selected bandwidth, (B) plug-in bandwidth, (C) href bandwidth, and (D) LSCV bandwidth.
Table 2.
Home range size estimates for different methods.
Home range sizes (in hectares) at the 50%, 95%, and 99% contours for both OPHA1 and OPHA2, calculated using different estimators.
Fig 4.
Manly’s selection ratios calculated for all habitats for OPHA1 and OPHA2, using 6 home range estimators.
We calculated selection ratios the two Brownian bridge methods (BBMM and dBBMM), and four KDE bandwidth estimators (href, LSCV, plug-in and a manually bandwidth h = 100).
Fig 5.
Home range and variance estimate through time using dynamic Brownian Bridge Movement Models.
The dBBMM home range for (A) OPHA1 and for (B) OPHA2, along with the (C) variance estimation (σ2m) over time for both individuals.