Predicting the distribution of Stipa purpurea across the Tibetan Plateau via the MaxEnt model

BMC Ecology

Table 1 The selected environment variables for modeling the habitat suitability distribution of S. purpurea

Data source	Category	Variables	Abbreviations	Units
Geospatial data cloud	Topographic	Altitude	DEM	m
		Slope	Slope	Degree
		Aspect	Aspect	Degree
WorldClim	Bioclimatic	Annual mean temperature	Bio1	°C
		Mean diurnal range (mean of monthly (max temp − min temp))	Bio2	°C
		Isothermality (BIO2/BIO7) (*100)	Bio3	–
		Temperature Seasonality (standard deviation * 100)	Bio4	°C
		Annual precipitation	Bio12	mm
		Precipitation of driest month (3 months)	Bio14	mm
		Precipitation seasonality (Coefficient of variation)	Bio15	Fraction
		Precipitation of coldest quarter (3 months)	Bio19	mm

Eight bioclimatic variables were selected from nineteen bioclimatic which downloaded from WorldClim-Global Climate Data (www.worldclim.org/bioclim). The altitude variable with 30 m spatial resolution was downloaded from Geospatial Data Cloud (http://www.gscloud.cn/). The slope and aspect variables were calculated using ArcToolbox—Spatial Analyst—Surface Analyst in GIS 10.2

ISSN: 1472-6785