Cited by 111Marine and coastal plant biologyMarine and coastal ecosystemsOceanographic and Atmospheric Processes

Predicting Sargassum blooms in the Caribbean Sea from MODIS observations

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Wang, Mengqiu, Hu, Chuanmin·2017·Geophysical Research Letters

Abstract

Recurrent and significant Sargassum beaching events in the Caribbean Sea (CS) have caused serious environmental and economic problems, calling for a long‐term prediction capacity of Sargassum blooms. Here we present predictions based on a hindcast of 2000–2016 observations from Moderate Resolution Imaging Spectroradiometer (MODIS), which showed Sargassum abundance in the CS and the Central West Atlantic (CWA), as well as connectivity between the two regions with time lags. This information was used to derive bloom and nonbloom probability matrices for each 1° square in the CS for the months of May–August, predicted from bloom conditions in a hotspot region in the CWA in February. A suite of standard statistical measures were used to gauge the prediction accuracy, among which the user's accuracy and kappa statistics showed high fidelity of the probability maps in predicting both blooms and nonblooms in the eastern CS with several months of lead time, with overall accuracy often exceeding 80%. The bloom probability maps from this hindcast analysis will provide early warnings to better study Sargassum blooms and prepare for beaching events near the study region. This approach may also be extendable to many other regions around the world that face similar challenges and opportunities of macroalgal blooms and beaching events.

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  • Since 2011, there has been an increase in the abundance of Sargassum in the western tropical North Atlantic, often resulting in mass beaching events in the Caribbean and also in western Africa and Brazil.

    “Since 2011, there has been an increase in the abundance of Sargassum in the western tropical North Atlantic, often resulting in mass “beaching” events in the Caribbean (Wang and Hu, 2017) and also in western Africa and Brazil.”

    From The tropical atlantic observing system (2019) · cites this paper as Wang and Hu, 2017

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References 29 · Cited by 111

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Authors
Wang, M., & Hu, C.
Affiliations
University of South Florida St. Petersburg (US)
Corresponding author
Hu, Chuanmin
Venue
Geophysical Research Letters
Published
2017-04-14
Volume
44
Issue
7
Pages
3265-3273
ISSN
  • 0094-8276 (ISSN-L)
  • 1944-8007
OpenAlex
W2599014886
Cited by
111
References
29
Citations by year
2026: 7 · 2025: 10 · 2024: 7 · 2023: 15 · 2022: 17 · 2021: 19 · 2020: 15 · 2019: 15 · 2018: 5 · 2017: 1
FWCI
6.55
Type
journal article
Language
en
Open access
Locations
  • Geophysical Research Letters (publishedVersion)
  • Digital Commons - University of South Florida (University of South Florida) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
Funders
National Aeronautics and Space Administration (NNX14AL98G, NNX16AR74G, NNX17AE57G)
Topics
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine and coastal plant biology
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine and coastal ecosystems
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
Keywords
Sargassum blooms, macroalgal blooms, bloom prediction, MODIS, hindcasting, Caribbean Sea, early warning, ocean connectivity, time delay

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