عنوان مقاله [English]
This study aims to quantitatively model the utility of low-lying Pelican habitats using the MAXENT model in Iran. The bird's presence points were obtained from data recorded by the EPA and the World Report on its presence. The environmental data used were also obtained from the climate database www.worldclim.org. The results of VIF test were used to examine the correlation between variables including 7 variables mean annual temperature (Bio1), mean daily values (Bio2), isothermality (Bio3), seasonal temperature changes (Bio4), annual precipitation (Bio12), seasonal variations. Precipitation (Bio15), mean precipitation in the driest season of the year (Bio17) had the lowest co-linearity and were used as climate variables. The model's AUC index was 0.953. According to the Jack-Nieff graph, the mean daily temperature (Bio2) and seasonal temperature (Bio4) variables have the highest percentage of participation and importance, respectively, and the mean precipitation variables in the driest season (Bio17) and isothermal (Bio3), respectively. They were important in mapping the habitat suitability of pecans in the Maxent model. In this study, the MAXENT modeling results show that only 77838% of the total country (5%) is favorable for the presence of thick pelicans.