Abstract
Trissolcus grandis, as an egg parasitoid, shows variations in its parasitization rate on the sunn pest, Eurygaster integriceps Puton, under different climatic conditions. Maximum entropy (MaxEnt) was used to predict the potential distribution of T. grandis populations in Iran. The records of 1699 specimens collected from 24 climates of Iran besides the altitude and climate variable data were used for modeling analysis. Mainly southwestern of Caspian Sea and northwestern Iran with climatic characteristics of cool to cold winters with warm summers and semiarid humidity regime were the most suitable areas for T. grandis, while the central, southwestern, and southeastern parts of Iran with very high temperatures were predicted to be less suitable. Based on training and test data, AUC above 0.85 implies that the model is appropriate to make inferences on the distribution of the given species. These new data could be applied practically for the design of integrated pest management and crop development programs.
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