Predictive modeling of plant species distribution is defined based on the relationship between a species' presence data and environmental variables. Nowadays, forecast maps of species distribution or vegetation types in rangelands and forests with the emergence of advanced software and the development of statistical methods have received special attention. Forests play an important role in the hydrological cycle, deceleration of rain identify, preserve and improve the habitat of valuable plants in natural droplets on land, evapotrairation, and increased penetration, which are important in water and soil conservation. It is important to habitat of Cratagus pontica which is one of the important species of resources. The Maximum Entropy (MAXENT), Generalized Linear Model (GLM), Multivariate Adaptive Regression Spline (MARS) were used to model the potential Zagros forests in Lorestan province. In addition to its unique ecological properties, it is highly resistant to drought after establishing in the soil and it is used as an ornamental plant because of its resistance to air collected through field survey throughout Lorestan province during three years pollution and adaptation to all kinds of soils. . )....
