Fig 1.
The elevation is depicted by the digital elevation model (DEM). DEM was obtained from USGS Earth Explorer (https://earthexplorer.usgs.gov); the boundary was obtained from Natural Earth (http://www.naturalearthdata.com/), which is a schematic line illustrating the relative position of each country and should not be re-used or misinterpreted for any political reason.
Table 1.
Data layer and source, raster/vector, value range/categories (number of subcategories in brackets), and specification of the unit of measurement/impact (proxy).
Fig 2.
The response curves of model 1 (≤1500 m).
Table 2.
Estimates of relative contributions of the predictor variables to model 1 (left) and model 2 (right).
Fig 3.
The response curves of model 2 (>1500 m).
Fig 4.
PPR high-risk areas predicted by the MaxEnt model.
This map was made in ArcGIS 10.6 using the resulting rasters produced by MaxEnt. The boundary was obtained from Natural Earth (http://www.naturalearthdata.com/), a schematic line illustrating the relative position of each country and should not be re-used or misinterpreted for any political reason.
Fig 5.
Transboundary LCPs for small ruminants and the distribution of wild ruminants.
The territory range of wild small ruminants was obtained from International Union for the Conservation of Nature (IUCN) website (https://www.iucnredlist.org/). The boundary was obtained from Natural Earth (http://www.naturalearthdata.com/), a schematic line illustrating the relative position of each country and should not be re-used or misinterpreted for any political reason. The data used for this figure is under CC BY license, and permission for its use has been obtained from the IUCN.
Fig 6.
Bar chart of land cover (a) and elevation (b) cost value sensitivity analysis.
Spearman rank correlation coefficient between the ranking obtained with the original cost value and the rankings obtained with small variation Δ applied on the original values ranging between -10% and +10% when applicable.