Articles | Volume 30, issue 9
https://doi.org/10.5194/hess-30-2543-2026
https://doi.org/10.5194/hess-30-2543-2026
Research article
 | 
04 May 2026
Research article |  | 04 May 2026

Leveraging 20 years of remote sensing to characterize surface phytoplankton seasonality and long-term trends in lake Tanganyika

François Toussaint, Alice Alonso, and Marnik Vanclooster

Data sets

ESA Lakes Climate Change Initiative (Lakes_cci): Lake products L. Carrea et al. https://doi.org/10.1038/s41597-022-01889-z

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Short summary
We analysed 20 years of satellite data to study changes in surface phytoplankton concentration in Lake Tanganyika. Results reveal strong seasonal patterns linked to known hydrodynamics, with decreasing levels in deep areas and increases in shallow regions. These changes could alter the lake’s ecosystem and threaten the resources that millions of people rely on.
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