The modeling of predicting distribution of plant species basically defined on the correlation between presence of a species and environmental variables. Nowadays in the field of plant ecology , mapping of the predictive distribution of species or vegetation types , is taken into consideration by the development of statistical methods and geographical information systems. In order to model potential habitats of Astragalusadscendence species and the effect of climate changes on the habitat of this species in Isfahan province, four modeling methodes were used which include: maximum entropy, ecological niche factor analysis, genetic algorithm, non parametric multiple regression. Species occurrence data by random and the genetic algorithm model as the weakest model with index AUC=0/721 was determined.According to the reaction curves , Astragalusadscendence presence probable is higher in the altitude of more than 2500 meters , the slope of 30-5 degrees, average annual precipitation is 250-350 mm and average annual temperature of less than 10 ° C. In examining the habitat of this species over time in both 2030 and 2080 found that about 99% of suitable habitat is reduced over time under the effect of climat. All four species distribution models predict this decline almost identical. Also The predicted joint optimal level of adscendeshabitat , specified about 11/9 percent between the four models in the study area, 12736/451. Keyword: Astragalusadsendence , Ecological Nich Factor Analysis, Genetic Algorithm, Isfahan provaince, Maximum Entropy, Non Parametric Multiple Regrresion
