TABLE 1 in A new species and new records of the spider genus Dubiaranea (Araneae, Linyphiidae) from southern Brazil and Uruguay, with an analysis of the potential distribution of the species

TABLE 1. List of variables by factor considered in the modeling process of the two species of the genus Dubiaranea analyzed in this study.
CODEVARIABLESCODEVARIABLESSpatialYSpSpatial logit1 (linear polynomial combination of Latitude (ºS) and Longitude (ºW) from the spatial logistic regression) (1)Topography, hydrology and climaticAAverage altitude (m) (2)SSlope (◦) (calculated from altitude)Ori-NSOrientation; degrees of exposure NorthSouth (calculated from slope)Ori-EWOrientation; degrees of exposure East-West (calculated from slope)RoughRoughness (m) (calculated from altitude)TRITerrain Ruggedness Index (calculated from altitude)(3)TPITopographic Position Index (calculated from altitude)SumRiverSummation of Rivers (km) (4)Dist_RiverMinimum distance to Rivers (km) (4)Sum_BigRivSummation of Big Rivers (km) (5)Dist_BigRivMinimum distance to Big Rivers (km) (5)BIO1Average annual temperature (ºC) (6)BIO11Mean annual temperatures of the coldest quarter (ºC) (6)BIO2Mean diurnal range temperatures (ºC) (ºC) (6)BIO12Annual precipitation (mm) (6)BIO3Isothermality (BIO /BIO) (*100) (ºC) (6) 2 17BIO13Precipitation of the wettest month (mm) (6)BIO4Seasonal temperatures (ºC) (6)BIO14Precipitation in the driest month (mm) (6)BIO5Maximum temperatures in the warmest month (ºC) (6)BIO15Seasonal precipitation (mm) (6)BIO6Minimum temperatures in the coldest month (ºC) (6)BIO16Precipitation in the wettest quarter (mm) (6)BIO7Annual temperature range (BIO -BIO) (6) 5 6BIO17Precipitation in dry quarter (6)BIO8Mean annual temperatures of the wettest quarter (6)BIO18Precipitation in the warmest quarter (6)BIO9Mean annual temperatures in the dry quarter (6)BIO19Precipitation in coldest quarter (6)BI010Mean annual temperatures in the warmest quarter (6)ETP seasonalMonthly variability in potential evapotranspiration (7)ETP AnnualAnnual potential evapotranspiration (7)ClmMoistClimatic Moisture Index (7)GDD0sum of mean monthly temperature for months with mean temperature greater than 0℃ multiplied by number of days (7)GDD5sum of mean monthly temperature formonths with mean temperature greater than 5℃ multiplied by number of days (7)Global Land Cover and Use LandCropsCrops (%) (8)GrassGrass (%) (8)MossMoss (%) (8)ShrubShrub (%) (8)TreeTree (%) (8)WaterPermWater permanent (%) (8)SnowSnow (%) (8)WaterSeasWater seasonality (%) (8)BareCoverBare (%) (8)
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Sources:
(1) Spatial variables, latitude and longitude, were generated from the QGIS (www.qgis.org) program according to the vector geometry tools: a) with “centroids of polygons,” the centroid of each cell was calculated, and b) with “Export / Add columns of geometry,” the values of length and latitude expressed in the 1984 World Geodetic System were allocated to each centroid (WGS84).
(2) Danielson, J.J., and Gesch, D.B., 2011, Global multi-resolution terrain elevation data 2010 (GMTED2010): U.S. Geological Survey Open-File Report 2011–1073, 26 p. https://www.usgs.gov/core-science-systems/eros/coastal-changes-and-impacts/ gmted2010?qt-science_support_page_related_con=0#qt-science_support_page_related_con (accessed in February 2021).
(3) Riley, S.J., DeGloria, S.D., Elliot, R. 1999. Index that quantifies topographic heterogeneity. Intermountain Journal of sciences 5, 23–27.
(4) United States Geological Survey. HydroShed. Hydrological data and maps based on Shuttle Elevation Derivatives at multiple Scales. Available in: https://www.hydrosheds.org/page/hydrorivers (Accessed November 2020)
(5) Natural Earth Data. North American Cartographic Information Society (NACIS). Available at: https://www.naturalearthdata. com/downloads/ (Accessed November 2020)
(6) Karger, D.N., Conrad, O., B̂hner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E,, Linder, H.P., Kessler, M. (2017). Climatologies at high resolution for the Earth’s land surface areas. Scientific Data 4 170122. https://doi.org/10.1038/ sdata.2017.122