علوم زیستی دریا
Somayye Sadat Alavian Petroody; Amir Hossein Hamidian; Soheil Eagderi; Sohrab Ashrafi
Abstract
Saccostrea cucullata is one of the widely spread oysters in south coasts of Iran. This study was conducted on 80 specimens of S. cucullata from coastal areas of the Laft port in the Qeshm Island in order to determine the relationships between growth factors and age. The population was divided into five ...
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Saccostrea cucullata is one of the widely spread oysters in south coasts of Iran. This study was conducted on 80 specimens of S. cucullata from coastal areas of the Laft port in the Qeshm Island in order to determine the relationships between growth factors and age. The population was divided into five age groups. The 2 year-old and 5 year-old oysters had the highest and lowest number of individuals in the population, respectively. The lowest and highest values of the length, width, height, shell thickness and wet soft tissue weight of S. cucullata were 20-70 mm, 10-50 mm, 3.50-26.50 mm, 1.00-5.90 mm , 0.75-7.68 g, respectively. After testing the normality of the data, their relationships were investigated using correlation and regression. A weak but positive correlation with a significant linear relationship was found between age and growth factors. However, because of the weakness of the correlation, no precise criteria can be found for determination of age based on growth factors.
علوم زیستی دریا
Hasti Andon petrosians; a danehkar; s a; a p
Abstract
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 ...
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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.