It is very important to identify habitat requirements for species in conservation and management plans of target species. The availability of habitat requirements for species is equivalent to the term habitat desirability. Scariola orientalis is a pasture that has a large distribution in Iran. The purpose of this study was to model and design a habitat map of Scariola orientalis in Isfahan province using the maximum entropy model and logistic regression. In order to determine the presence of the vegetation map of Isfahan province and proportional random systematic sampling method was used. For a modeling process, a two-step approach was used. In the first stage, using the points of presence and application of the maximum entropy model of undesirable locations were determined. Then non-attendance points were randomly selected in undesirable locations. In the second stage, habitat utility modeling was performed using presence and absence points and applying the logistic regression model. In this study, physiographic variables (slope, direction and elevation) and climatic variables were used. The preparation of the layers of environmental variables was done using ArcGIS software. To determine the most important variables affecting the habitat desirability of the studied species, once the model was run using all variables, and the variables that were high in participation in the model output were selected to enter the reduced model. Based on the results obtained from the maximum entropy model, the mean winter temperature (Bio11), precipitation in winter (Bio19), precipitation in summer (Bio17), minimum temperature of the coldest month of the year (Bio6), seasonal temperature (Bio4) and slope Were identified as the most important variables in determining the desirability of Scariola orientalis habitat. The results showed that the Maxent model had the highest AUC (0. 99) and Kappa (0.98). These results show that the Maxent model has a better performance than model logistic regression modeling in the distribution model. Keywords : Species distribution, potential habitat, habitat desirability, response curve, Maxent.
