Habitat fragmentation and loss due to human activities are currently considered to be the main threats of biodiversity. The study of changes in habitat quality has received enormous attention in ecological and conservation literature. Most studies focus on the effect that target habitat changes have on either target taxa or biodiversity indexes. However, they seldom tackle the spatial extent of such processes. This second step is of great practical relevance for conservation aims since it actually appraises the absolute importance of such changes. Predictive habitat modelling may offer an appropriate tool for this purpose. In fact, different modeling techniques during the last decades to study the response of species to the environment, are discussed. Maxent algorithm based on maximum entropy theory when the sample size is smaller than other models with the data. We Maxent to model potential habitat and the effects of land use on the habitats of brown bears in the Central Alborz scale was used. That constitutes a suitable framework for exploring how people relate to changes in habitat quality and changes imposed by natural and human factors, and producing maps showing the location of these changes. The use of satellite imagery data received, review and preparation of spatial resolution, spectral, and geometric correction of images taken initial Keywords: habitat suitability,model Maxent, land use
