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Article Type

Review

Subject Area

Marine Biology

Corresponding Author

Wagdy Labib

Corresponding Author ORCID

0000-0002-2904-6040

Abstract

The long-term study of phytoplankton variability in the coastal waters of Alexandria encounters significant challenges due to several factors such as inconsistency in sampling efforts conducted across various spatial and temporal scales, limitations of short-term monitoring methods, rapid urbanization and economic expansion, and their diverse eco-environmental impacts. The article analyzes a quantitative and qualitative dataset on algal bloom variabilities in Alexandria marine ecosystem from 1992 to 2023, highlighting changes in bloom patterns and trends such as annual cycles, short-term trends, rapid turnover rates of bloom structures, recurrent blooms of various classes, escalation in the frequency and magnitude, unusual episodic events, species-specific patterns, succession, interactions, and invasions. The seasonal cycle features consistent blooms in spring varied from year to year among different algal constituents. In summer and fall, bloom pulses are triggered by various factors that showcase a diverse composition of species without any specific trend. The understanding of algal trends requires extensive multidisciplinary research. Monitoring long-term changes in algal blooms can aid in predicting ecosystem shifts and planning for sustainable management strategies to control phytoplankton blooms in coastal waters.

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