Journal of Rangeland

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This study was performed with the aim of providing potential habitat prediction model for Stipa barbata using GIS and the maximum entropy method (Maxent), to identify its environmental requirements for the species. The locations of the species presence were used as suitable locations for the species growth. Soil variables maps including gravel, pH, electrical conductivity, lime, organic matter, N, P, K, sand, clay, silt and topography variables maps (aspect, slope, and elevation) were used as predictor variables for the species occurrence. Digital elevation model was used to prepare the topography variables maps. Geostatistical techniques were used to provide the soil maps in the GS⁺ and GIS software. Maxent was used for modeling of the S. barbata habitat prediction. The calculated Kappa coefficient between the prediction and real occurrence of the species maps was 0.8 and indicated a good fit. According to the results elevation, P, silt, K, organic matter, and slope were the most important variables for predicting the species occurrence. Modeling the potential distribution of S. barbata can assist managers to identify suitable places in recovering programs.
 

Keywords: Maximum Entropy (Maxent), Geostatistical, Stipa barbata.

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