Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Mar. Sci.

Sec. Coastal Ocean Processes

Volume 12 - 2025 | doi: 10.3389/fmars.2025.1638235

This article is part of the Research TopicGlobal Responses of Marine Ecosystems to Extreme Environmental Changes: Marine and Coastal Environments under Extreme Stress Volume IIView all 3 articles

Inter-seasonal phytoplankton dynamics in the UAE coastal waters

Provisionally accepted
  • 1Geography, University College London, London, United Kingdom
  • 2Higher Colleges of Technology - Sharjah Women's Campus, Sharjah, United Arab Emirates
  • 3American University of Sharjah, Sharjah, United Arab Emirates
  • 4Kuwait Institute for Scientific Research, Safat, Kuwait

The final, formatted version of the article will be published soon.

Phytoplankton are key indicators of marine ecosystem health and drivers of biogeochemical processes, yet their seasonal patterns in the southern Arabian Gulf are insufficiently understood. This study investigates inter-seasonal variability in phytoplankton composition and abundance along the coast of the United Arab Emirates (UAE), focusing on waters surrounding the region's largest oyster beds. Surface samples were collected at nine sites during four seasons between 2020 and 2022. Phytoplankton dynamics were analyzed together with water chemistry parameters using multivariate techniques, i.e. Detrended Correspondence Analysis (DCA) and Canonical Correspondence Analysis (CCA). A non-parametric Bray-Curtis dissimilarity analysis with PERMANOVA was also used to analyse seasonal differences in the phytoplankton abundance and composition and it confirmed DCA findings on clear community changes between January and June.Results revealed distinct seasonal assemblages: cyanobacteria prevailed during warmer months (May-June), while diatoms and cryptophytes dominated in cooler periods (November-January). Spatial differences in composition were evident, even between nearby locations, and likely reflect the influence of localized anthropogenic pressures and environmental gradients.Temperature, dissolved oxygen, chemical oxygen demand (COD), and oxidation-reduction potential (ORP) were identified as the principal environmental drivers, jointly explaining about 30% of phytoplankton variation. The unexplained variance in the phytoplankton data may be attributed to the impact of unmeasured water chemistry variables such as Si and toxic pollutant influx together with ecological variables, e.g. zooplankton grazing.Several potentially harmful taxa including dinoflagellates Scrippsiella spp., Heterocapsa spp., and Blixaea quinquecornis, were detected albeit at low abundances. At the same time, a potentially toxic diatom group Pseudo-nitzschia spp. occurred between November and May at considerably higher concentrations, which are comparable with the European bloom threshold levels although no actual harmful algal blooms (HABs) were observed. This study contributes to understanding phytoplankton ecology in the Gulf coastal waters and highlights the need for longterm monitoring supporting sustainable marine resource management under growing environmental and climatic stressors.

Keywords: HABs, multivariate analysis, Diatoms, dinoflagellates, Sustainable coastal development

Received: 30 May 2025; Accepted: 22 Jul 2025.

Copyright: © 2025 Solovieva, Medhat, Samara and Saburova. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Nadia Solovieva, Geography, University College London, London, WC1E 6BT, United Kingdom

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.