Marine environmental parameters influencing the distribution of Avicenna marina forests using logistic regression (Case Study: Hormozgan province)
2017
Petrosian, H. | Daneh kar, A. | Ashrafi, S. | Pouya Mehr, A.
This study predicates the prone areas for developing Avicenna 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 recognized as influencing 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-R 2 .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-R 2 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 and the west coast of Oman were found as the most suitable areas for developing Mangrove forest.
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