Extended abstractIntroduction: The Zagros forests, one of the largest and most significant vegetation zones in Iran, play a vital role in sustaining natural resources and environmental stability. These forests provide critical ecosystem services, including groundwater recharge, soil erosion reduction, climate regulation, biodiversity conservation, and socio-economic benefits. Among the dominant species, Quercus brantii (Persian oak) holds a crucial position, widely distributed across the Zagros forests. However, this species has become highly vulnerable and is at risk of extinction due to threats such as overexploitation, habitat destruction, and climate change. This study aims to model the distribution of Quercus brantii using the maximum entropy (MaxEnt) method, evaluate the influence of various environmental factors on its distribution, and produce an optimal distribution map for the species in Holilan County, Ilam Province. The findings will support targeted conservation strategies and sustainable management of Zagros forests. Materials and Methods: To model the distribution of Quercus brantii in the forests of Holilan County, Ilam Province, the MaxEnt method was employed. For model development, 75% of the data (89 pints) were randomly selected as training data, and the remaining 25% (30 points) were used as test data for independent model evaluation. The maximum number of background points was set to 10, 000 with 15 repetitions. Nineteen climatic variables, three physiographic variables (elevation, slope, aspect), and snow cover data were utilized. Initially, the desired environmental layers were prepared using ArcGIS software, and then the MaxEnt model was used to assess the species’ current and future (2050-2070) distribution. Model performance was evaluated using the Receiver Operating Characteristic (ROC) curve and the Area Under the Curve (AUC) metric. Results and Discussion: The evaluation of the modeling accuracy based on the ROC curve showed that the model's accuracy was at an excellent level (AUC = 0. 947). The model identified annual temperature, mean monthly temperature, isothermality, annual precipitation, and elevation as the most influential variables, collectively explaining 58% of the distribution variance. Suitable habitats for Quercus brantii covered 7, 067 hectares (excellent potential) and 10, 779 hectares (good potential), while 54, 750 hectares showed low-to-moderate suitability. The species primarily occurred at elevations between 1, 000–2, 339 meters, with higher prevalence on southern, eastern, and southeastern slopes. Presence peaked at slopes up to 25%, beyond which habitat suitability declined. Conclusion: The overall findings of this study highlight the significant role of variables such as annual mean temperature, mean monthly temperature, isothermality, annual precipitation, and elevation in modeling the distribution of Quercus brantii. The species is predominantly distributed in southern aspects and at elevations ranging from 1, 000 to 2, 339 meters above sea level. This research provides valuable insights into the ecological tolerance range of Quercus brantii in relation to environmental variables, which can serve as a scientific basis for management decisions. The information obtained is not only effective for prioritizing protected areas and implementing conservation and restoration measures but also enhances the success rate of plantation and rehabilitation projects, aiding in the preservation and development of this species in vulnerable regions.