Debue M. auteur aut IRD Guinaldo T. auteur aut IRD Jouanno Julien auteur aut IRD Chami M. auteur aut IRD Barbier S. auteur aut IRD Berline L. auteur aut IRD Chevalier Cristèle auteur aut IRD Daniel P. auteur aut IRD Daniel W. auteur aut IRD Descloitres J. auteur aut IRD Gros-Desormeaux J. R. auteur aut IRD Lett Christophe auteur aut IRD Minghelli A. auteur aut IRD text journalArticle eng text/pdf reformatted digital access Since 2011, massive strandings of holopelagic Sargassum have occurred on the coasts of the Caribbean and of West Africa. Although open ocean Sargassum mats are oases of biodiversity, their stranding has a number of negative ecological, economic and health consequences. To limit these impacts, Sargassum needs to be collected as quickly as possible to avoid its decomposition, which requires accurate predictions of the date, location and abundance of the strandings. Two complementary approaches have been developed for this purpose: satellite remote sensing technique, to detect Sargassum aggregations, and modeling, to forecast Sargassum displacement and growth. The objective of this review is to provide a synthesis of the current knowledge related to Sargassum monitoring in the tropical Atlantic Ocean. To better understand the issues surrounding Sargassum and its monitoring, the first two parts are devoted to an overview of the ecology of the two most prevailing holopelagic Sargassum species, to the current issues related to their strandings, to the causes of their occurrence in the tropical Atlantic Ocean and to their seasonal and interannual variabilities. The methods used to detect Sargassum from satellite images and their limitations are examined. The transport and biogeochemical models developed for seasonal forecast and stranding predictions are described along with their limitations. As both detection and modeling rely on validation data to assess their accuracy, previous works providing in situ characterization of Sargassum are also reviewed here. The last part provides recommendations to further increase knowledge on holopelagic Sargassum and improve the predictions of their strandings. specialized Sargassum Remote sensing Drift model Growth model In situ measurements ATLANTIQUE 038 034 126 216 117923 [22 p.] 2025 0025-326X https://www.documentation.ird.fr/hor/fdi:010093489 10.1016/j.marpolbul.2025.117923 0025-326X [F B010093489] https://www.documentation.ird.fr/hor/fdi:010093489 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2025-06/010093489.pdf IRD - Base Horizon / Pleins textes 2025-06-11 2025-11-04 fdi:010093489 fre