Predicting geographical distribution of invasive species, Hemidactylus flaviviridis Ruppell, 1840 in current and future time in Iran using species distribution modeling

Nowadays¡ human activities such as discovery¡ migration¡ trade and tourism mostly are influenced distributional pattern and range of some species In this research¡ patterns of current and future (2040) distribution of H. flaviviridis which as species with distribution by anthropogenic introduction¡ have been studied. In total¡ 19 bioclimatic variables have been extracted from Worldclim website and then seven non correlated bioclimatic variables and 40 point localities were performed using MaxEnt software. Results of species distribution modelling showed coastal southern of Iran having highly habitat suitability. Results of forecasting showed eastern Iran in Sistan and Blouchistan¡ central the Iranian plateau¡ Khuzestan province having habitat suitability in the lower suitability levels. However¡ the most important bioclimatic variables which contributing in modelling on distribution pattern of H. flaviviridis including precipitation seasonality and precipitation of the warmest quarter. Recognition invasive species is necessary in order to mange priorities¡ maintain biodiversity¡ prevent and control invasive species.