Study the Sea Factors Influencing the Distribution of Avicennia Marina Jungles Using Logistic Regression Studied sample: Hormozgan province

This study predicates the prone areas for developing Avicennia Marina forests along the coastal areas of Hormozgan province by studying the oceanography features influencing these forests and using logistic regression models. Tidal areas, flooding level, salinity of water and waves were considered as independent variables. The prediction of prone areas was based on using logistic regression model and the validity of the model was studied by ROC test and Pseudo-R2 . The results of this study indicates that; firstly the maximum wave height, the average maximum flooding level and the level of sanity of water are significantly associated with the presence of Mangrove and the high level of parameters of ROC and Pseudo-R2 confirm the validity of the model. Secondly the maximum wave height was introduced as the main marine parameter influencing the Mangrove communities. Finally the eastern part of the Persian Gulf coast, the west coast of Oman, and a few small spots in the easternmost parts of the coastal zone of Hormozgan province, were found as the most suitable areas for developing Mangrove forest.