@article{fdi:010093489,
  title = {{U}nderstanding the {S}argassum phenomenon in the {T}ropical {A}tlantic {O}cean : from satellite monitoring to stranding forecast},
  author = {{D}ebue, {M}. and {G}uinaldo, {T}. and {J}ouanno, {J}ulien and {C}hami, {M}. and {B}arbier, {S}. and {B}erline, {L}. and {C}hevalier, {C}rist{\`e}le and {D}aniel, {P}. and {D}aniel, {W}. and {D}escloitres, {J}. and {G}ros-{D}esormeaux, {J}. {R}. and {L}ett, {C}hristophe and {M}inghelli, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}ince 2011, massive strandings of holopelagic {S}argassum have occurred on the coasts of the {C}aribbean and of {W}est {A}frica. {A}lthough open ocean {S}argassum mats are oases of biodiversity, their stranding has a number of negative ecological, economic and health consequences. {T}o limit these impacts, {S}argassum 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. {T}wo complementary approaches have been developed for this purpose: satellite remote sensing technique, to detect {S}argassum aggregations, and modeling, to forecast {S}argassum displacement and growth. {T}he objective of this review is to provide a synthesis of the current knowledge related to {S}argassum monitoring in the tropical {A}tlantic {O}cean. {T}o better understand the issues surrounding {S}argassum and its monitoring, the first two parts are devoted to an overview of the ecology of the two most prevailing holopelagic {S}argassum species, to the current issues related to their strandings, to the causes of their occurrence in the tropical {A}tlantic {O}cean and to their seasonal and interannual variabilities. {T}he methods used to detect {S}argassum from satellite images and their limitations are examined. {T}he transport and biogeochemical models developed for seasonal forecast and stranding predictions are described along with their limitations. {A}s both detection and modeling rely on validation data to assess their accuracy, previous works providing in situ characterization of {S}argassum are also reviewed here. {T}he last part provides recommendations to further increase knowledge on holopelagic {S}argassum and improve the predictions of their strandings.},
  keywords = {{S}argassum ; {R}emote sensing ; {D}rift model ; {G}rowth model ; {I}n situ measurements ; {ATLANTIQUE}},
  booktitle = {},
  journal = {{M}arine {P}ollution {B}ulletin},
  volume = {216},
  numero = {},
  pages = {117923 [22 p.]},
  ISSN = {0025-326{X}},
  year = {2025},
  DOI = {10.1016/j.marpolbul.2025.117923},
  URL = {https://www.documentation.ird.fr/hor/fdi:010093489},
}