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ORIGINAL RESEARCH article

Front. Mar. Sci.

Sec. Ocean Observation

This article is part of the Research TopicRemote Sensing Applications in Marine Ecology Monitoring and Target SensingView all 17 articles

Chlorophyll-a Modulation in the Arabian Gulf Using Two-decades Merged Ocean-Color Data

Provisionally accepted
  • 1King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
  • 2Qatar University, Doha, Qatar

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

The Arabian Gulf (Gulf) is a dynamic marine ecosystem in which phytoplankton productivity, indicated by Chlorophyll-a (Chl-a), is strongly affected by environmental and climatic variables. Understanding the spatiotemporal variability of Chl-a and its driving environmental factors is critical for assessing primary productivity and ecosystem dynamics of the Gulf. This study investigated the long-term Chl-a variability and its dynamic response to environmental variables using Chl-a data from merged multi-sensor Ocean Colour Climate Change Initiative for the period 2003 to 2023. Seasonal climatology exhibited a marked winter bloom driven by convective mixing and nutrient replenishment, followed by a summer decline due to strong stratification. Box average analysis using correlogram and principal component analysis for selected regions revealed distinct regional patterns, with the northern and central Gulf showing higher variability. The results further highlighted sea surface temperature (SST), sea surface salinity, photosynthetically available radiation and wind speed as primary drivers of Chl-a variability in the Gulf. The interannual variability of Chl-a peaks along the central eastern Gulf in winter and central western Gulf during summer, highlighting regional heterogeneity in phytoplankton dynamics. Long-term spatial trend analysis of Chl-a, net primary productivity (NPP) and SST indicated overall decreasing trend in Chl-a and NPP, particularly along the north and eastern coasts of the Gulf; and warming SST in the northern and central Gulf. The results pointed towards the requirement of further research on the complex interplay between physical and biogeochemical factors, and anthropogenic influences on Chl-a distribution, which can help future monitoring and predictive ecosystem models for the Gulf under changing climate conditions.

Keywords: climatology, OC-CCI, long-term trend, Primary productivity, remote sensing

Received: 28 Apr 2025; Accepted: 06 Nov 2025.

Copyright: © 2025 Shafeeque, Saleem, Chaitanya, P, Lateef and ALBERT VELICKAKATH JOSEPH. 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: JIYA ALBERT VELICKAKATH JOSEPH, jiya.bert@kfupm.edu.sa

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