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. 2018 Oct 30;8(23):11677–11693. doi: 10.1002/ece3.4620

Table 1.

Covariates category, names, and the data sources for ungulate N‐mixture models

Covariate category/name Sources
Relative abundance covariates
Biotic covariates
Forest type[Link], classified as broadleaf deciduous forest, mixed Korean pine‐deciduous forest, and mixed Korean pine‐spruce forest Moderate‐resolution Imaging Spectroradiometer (MODIS) in 2009
Abiotic covariates
Elevation[Link] 30 m DEM, SRTM
Slope[Link] (degree) 30 m DEM, SRTM
Northness[Link], range from −1 (aspect toward south) to 1 (aspect toward north) 30 m DEM, SRTM
Distance to frontier (km) Forest inventory data in Changbaishan Mountain
Distance to river (km) Forest inventory data in Changbaishan Mountain
Anthropogenic covariates
Human activity Count of independent observations of humans at each camera site
Cattle activity (summer season only) Count of independent observations of cattle at each camera site
Road density[Link] (km/sq kilometer) Forest inventory data in Changbaishan Mountain
Human population density[Link] (people/sq kilometer) LandScan™ 2010 Global Population Dataset
Distance to settlement (km) Forest inventory data in Changbaishan Mountain
Distance to road (including primary and secondary roads) (km) Forest inventory data in Changbaishan Mountain
Detection covariates
10‐day interval (categorical) Cameras
30‐day interval (categorical) Cameras
60‐day interval (categorical) Cameras
10‐day interval (continual) Cameras
30‐day interval (continual) Cameras
60‐day interval (continual) Cameras
Trail width Field survey
Quadratic of trail width Field survey
Camera effort Camera days

These covariates were calculated in 5 scales, including radius of 0.5 km, 1 km, 1.5 km, 2 km, and 3 km area around the camera location