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. Author manuscript; available in PMC: 2022 Jul 20.
Published in final edited form as: Ecol Appl. 2021 Jul 8;31(6):e02379. doi: 10.1002/eap.2379

Table 1.

List of the categorical and a reduced set of numerical variables used in the diversity analysis and gradient forest modeling.

Variable Category Description and definition
Categorical variables
 loc location name of places visited reported by volunteers
 clust location neighboring cluster of sites within a radius of 0.5 km derived from GPS record
 ecoregion habitat EPA Level III Ecoregions of California (Conterminous United States)
 majorhab habitat major habitat type classified according to California Wildlife Habitat Relationships System
 minorhab habitat minor habitat type classified according to California Wildlife Habitat Relationships System
 transect habitat original classification of the predominant biome type (coast/coastal, shrub/shrub-scrub, and forest)
 NLCD habitat USGS national land cover classification 2011
 SoS soil properties volunteers’ classification of substrate type (sediment, soil, sand)
 taxousda soil properties predicted most probable class in USDA soil taxonomy
Reduced set of numerical variables
 Longitude location longitude of sample sites
 hfp habitat global human footprint index
 bio1 BIOCLIM annual mean temperature
 bio2 BIOCLIM mean diurnal range (mean of monthly (maximum temperature − minimum temperature))
 bio3 BIOCLIM isothermality (BIO2/BIO7) (× 100)
 bio4 BIOCLIM temperature seasonality (standard deviation × 100)
 bio5 BIOCLIM maximum temperature of warmest month
 bio6 BIOCLIM minimum temperature of coldest month
 bio8 BIOCLIM mean temperature of wettest quarter
 bio14 BIOCLIM precipitation of driest month
 bio15 BIOCLIM precipitation seasonality (coefficient of variation)
 phihox soil properties soil pH × 10 in H2O at depth 0.00 m
 orcdrc soil properties Soil organic carbon content (fine earth fraction) in g/kg at depth 0.00 m
 cecsol soil properties cation exchange capacity of soil in cmolc/kg at depth 0.00 m
 sndppt soil properties sand content (50–2,000 μm) mass fraction in percent at depth 0.00 m
 bldfie soil properties bulk density (fine earth) in kg/m3 at depth 0.00 m
 ntot soil properties mass percentage of total nitrogen at depth 0.00 m
 elev topography elevation of sample sites
 Slope topography the rate of change of elevation for each digital elevation model (DEM) cell
 aspect topography the direction of the maximum rate of change in the z value from each cell in a raster surface
 CTI topography compound topographic index
 DAH topography diurnal anisotropic heating
 B1 vegetation Sentinel-2 spectral band 1 (wavelength: 443.9 nm (S2A)/442.3 nm (S2B); description: aerosols)
 B4 vegetation Sentinel-2 spectral band 4 (wavelength: 664.5 nm (S2A)/665 nm (S2B); description: red)
 B6 vegetation Sentinel-2 spectral band 6 (wavelength: 740.2 nm (S2A)/739.1 nm (S2B); description: red edge 2)
 B9 vegetation Sentinel-2 spectral band 9 (wavelength: 945 nm (S2A)/943.2 nm (S2B); description: water vapor)
 B10 vegetation Sentinel-2 spectral band 10 (wavelength: 1,373.5 nm (S2A)/1,376.9 nm (S2B); description: cirrus)
 B11 vegetation Sentinel-2 spectral band 11 (wavelength: 1,613.7 nm (S2A)/1,610.4 nm (S2B); description: SWIR 1)
 NDVI32 vegetation Normalized Difference Vegetation Index in 32-d period
 NBRT vegetation Normalized Burn Ratio Thermal index in 32-d period
 greenness vegetation annual greenest pixel in the year of 2017
 imprv habitat percentage of the pixel covered by developed impervious surface
 ptrcv habitat percentage of the pixel covered by tree canopy

Note: For a complete list of variables, detailed description, and data accession information, refer to Data S1.