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. 2017 Jun 22;12(6):e0179152. doi: 10.1371/journal.pone.0179152

Table 2. Environmental covariates considered for generating species distribution models for the fisher in the Pacific States using Maxent.

The 6 covariates selected for Maxent modeling are shaded gray.

Category Covariate Reference Description
Climatic Winter snowfall (SNOW) [46] Average precipitation (mm) as snow during winter (Dec-Feb) from 1971 to 2000. Derived from 4 x 4-km PRISM data and downscaled to 250 x 250-m pixels.
Topographic Topographic position index (TPI) [47] Estimate of terrain ruggedness, based on differences in elevation between a cell and the cells in the surrounding neighborhood. Negative values indicate valleys or canyon bottoms, and positive values indicate ridges or hilltops. Calculated from a 250 x 250-m digital elevation model.
Vegetative Forest biomass (BIOMASS) [40] Aboveground live forest biomass (mg/ha). Used at the original resolution of 250 x 250-m pixels.
Vegetation class (VEGCLASS) [39] Forest vegetation classes based on canopy cover, basal area of hardwoods, and quadratic mean diameter of dominant and codominant trees. Derived from 30 x 30-m raster data resampled to 250 x 250-m pixels using a majority algorithm.
Stand age (AGE) [39] Basal area weighted stand age (year). Derived from 30 x 30-m raster data resampled to 250 x 250-m pixels using bilinear interpolation.
Canopy cover (CANCOV) [39] Canopy cover of all live trees (%). Derived from 30 x 30-m raster data resampled to 250 x 250-m pixels using bilinear interpolation.
Diameter diversity index (DDI) [39] Diameter diversity index of forest stands based on tree densities in different DBH classes. Derived from 30 x 30-m raster data resampled to 250 x 250-m pixels using bilinear interpolation.
Quadratic mean diameter (QMD) [39] Quadratic mean diameter of all dominant and codominant trees (cm). Derived from 30 x 30-m raster data resampled to 250 x 250-m pixels using bilinear interpolation.