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The Mediterranean coast stretching from Tangier to Ksar Sghir within the Tangier-Tetouan-Al Hoceima region represents a crucial coastal area. This region's coastal environment faces multiple challenges, including demographic pressures and the evolving impacts of climate change which result in sea-level rise. Our research takes a comprehensive approach, integrating sedimentary and mineralogical analysis, along with the application of GIS tools for data processing and visualization. Through this research, we aim to identify vulnerable coastal areas, particularly those susceptible to erosion, and assess the effects of climate change, specifically focusing on rising sea levels. This study's findings shed light on the dynamic coastal landscape and provide valuable insights for sustainable coastal management in the face of environmental change. Our study shows that the studied region suffers from significant losses in the surface area of sand on some beaches due to the phenomenon of erosion. At the same time, some beaches knew a set back the shoreline by several metres, and others knew to advance the shoreline by several metres. In this way, it constitutes a continuation of a development that began several centuries ago, and which has been observed in the Mediterranean coast between Tangier and Ksar Sghir coastlines in the context of a rapid rise in sea level.

This research provides general guidelines for monitoring the environmental quality state of the marine ecosystems using benthic microfauna as a bioindicator tool in the Western Moroccan Mediterranean coastal areas. The current faunistic composition of 18 superficial sediment samples collected in areas having a wild range of environmental conditions have been the subject of factorial correspondence and hierarchical classification analysis, allowing us to follow the distribution patterns of the benthic assemblages. Considering the influence of both hydrodynamic and sedimental conditions on the superficial sediment, recognized in this study as the main environmental factors affecting the distribution of species in this type of environment, we were able to delineate three environmental units, with specific faunistic response related to the corresponding environmental conditions. Leading us to identify the optimal sampling area for the biomonitoring surveys in this region. Shallow and high-energy coastal areas were found to limit data collection and the representation of the sampling area, while low-energy areas were identified as ideal for environmental surveys, showcasing strong faunistic response to stressful conditions. we recommend to conduct the ecological monitoring studies in the 10–30-meter depth range, where the environmental conditions favor the assessment of the current environmental quality state by the benthic microfauna.