Species distribution modeling is one of the useful tools to produce potential maps of plant species which can used to assess a lot of things about ecological andplant geographical range. These modelsdefine relationship between the plant species and their environment based onfield observations.they can improve ecologicalinterpretation and assessmentof biogeographical hypothesis. In recent years,these models applied to produce potential distribution map andrecognizeas appropriate way to express management and conservation plant and animal species. This study aims to predict the potential distribution of valerian ( Valerianasisymbriifolia ) by using various statistical models under the impact of climate change during 2030 and 2080 in Isfahan province. This plant is a valuable species in the traditional medicine, and used for nerves sedative, hypnotic, anticonvulsant, etc. At this study,50 sites were picked up using random sampling method and species occurrence (presence/absence) were recorded for each site.Climatic and physiographicmaps with a resolution (1 km) was prepared using GIS. The relationship between species occurrences and environmental factors was defined by the maximum entropy, GLM and GAMin R software.Model evaluation show a good performance for GLM model (AUC=.98)The best models were selected and developed on future climatic maps (A2/Hadcm3). According to results,all three models show a decline trend in geographic distributionof species because the rainfall will reduce as well as the temperature increases during the years of 2030 and 2080. Keywords: Ecological niche, climate change scenarios, generalized additive models, generalized linear model, Maxent, potentially Map