Baseline levels of integrated biomarker response index (IBR) in Mytilus galloprovincialis (Lamarck, 1819) of BouIsmail bay for monitoring Algerian Bays (Mediterranean Sea)

The Multiple Linear Regression (MLR) technique was used to determine the relationship between the integrated biomarker response index (IBR) with the most important confounding factors (Temperature, pH, Salinity and Dissolved oxygen), in order to define: (1) the baseline assessment criteria (BAC), (2) the environmental assess-ment criteria (EAC) and (3) the BouIsmail Bay (BIB)-Taxonomy by using Mytilus galloprovincialis sampled from two references sites in BIB (W. Tipaza, Algeria) during one season. Therefore, our results show that, the tem-perature appeared as a major factor for the explanation of the model. The coefficients of determination and F values for IBR validated the efficiency of model. In addition, the use MLR, BAC and EAC values in BIB-Taxonomy can deference between unpolluted and polluted areas in BouIsmail Bay in particular and Algerian Bays in general. This approach is therefore a valuable tool that could be used for monitoring the coastal sites.