Six decades (1965–2025) of phytoplankton absorption research: a bibliometric and systematic review with insights from the past decade

Ashphaq, M. ORCID: https://orcid.org/0000-0002-5196-5297 and Roy, S. ORCID: https://orcid.org/0000-0003-2543-924X (2026) Six decades (1965–2025) of phytoplankton absorption research: a bibliometric and systematic review with insights from the past decade. Remote Sensing, 18 (12). 2059. ISSN 2072-4292 doi: 10.3390/rs18122059

Abstract/Summary

Phytoplankton are primary producers in the aquatic ecosystems whose pigments, cell size, and physiological state affect how they absorb light and fix carbon. The phytoplankton absorption coefficient (aph(λ)) in the visible spectrum is a fundamental cellular optical property that determines phytoplankton–light interactions in the marine environment. This property links biological processes to ocean color remote sensing reflectance (Rrs), enabling an assessment of environmental and biogeochemical conditions in the ocean using ocean color satellites. This study presents a multi-stage systematic review of six decades (1965–2025) of aph(λ) research, with a focused synthesis of developments in the past decade. A bibliometric analysis empirically examines the research growth of the field and its thematic convergence into methodological divergence across six decades. Cluster analysis was used to compile influential research topics as well as emerging trends, to determine the scope and design of the systematic review. A focused systematic review of studies in the past decade (2015–2025) has been carried out to identify conceptual and theoretical advances, major observational and algorithmic improvements, and ongoing challenges. The data analyses highlight the accuracy achieved by various studies, the complexity of applications of algorithms, and product-focused developments. The ongoing challenges identified include resolving optical degeneracy, vertical structure acquisition, and scaling methods for operational use. This review concludes the centrality of aph(λ) as a key parameter to next-generation ocean color science, biogeochemical modeling, and climate-related ecosystem monitoring.

Item Type	Article
URI	https://centaur.reading.ac.uk/id/eprint/130764
Identification Number/DOI	10.3390/rs18122059
Refereed	Yes
Divisions	Science > School of Archaeology, Geography and Environmental Science > Department of Geography and Environmental Science
Uncontrolled Keywords	Phytoplankton absorption; ocean color remote sensing; machine learning; climate change; bibliometric analysis
Publisher	MDPI
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