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dc.contributor.authorWang, Mengqiu
dc.contributor.authorHu, Chuanmin
dc.coverage.spatialCaribbean Seaen_US
dc.date.accessioned2020-06-29T23:21:32Z
dc.date.available2020-06-29T23:21:32Z
dc.date.issued2017
dc.identifier.citationWang, M. and Hu, C. (2017) Predicting Sargassum blooms in the Caribbean Sea from MODIS observations, Geophysical Research Letters, 44, pp.3265–3273. DOI:10.1002/ 2017GL072932.en_US
dc.identifier.urihttp://hdl.handle.net/11329/1366
dc.identifier.urihttp://dx.doi.org/10.25607/OBP-872
dc.description.abstractRecurrent 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.en_US
dc.language.isoenen_US
dc.subject.otherAlgal bloomsen_US
dc.subject.otherSargassumen_US
dc.subject.otherManagementen_US
dc.subject.otherModerate Resolution Imaging Spectroradiometer (MODIS)en_US
dc.titlePredicting Sargassum blooms in the Caribbean Sea from MODIS observations.en_US
dc.typeJournal Contributionen_US
dc.format.pagerangepp.3265–3273en_US
dc.identifier.doi10.1002/ 2017GL072932.
dc.subject.parameterDisciplineParameter Discipline::Biological oceanography::Macroalgae and seagrassen_US
dc.subject.instrumentTypeInstrument Type Vocabulary::radiometersen_US
dc.description.abstractOtherLangBlooms of Sargassum seaweed appear to have increased in the tropical Atlantic and Caribbean since 2011. These blooms provide important habitats for many marine animals (fish, turtles, shrimps, crabs, etc.) to maintain a healthy marine ecosystem, but large amounts of Sargassum deposition on the beaches have caused numerous problems to the local environment, tourism industry, and economy. There is currently little information on Sargassum distribution and bloom timing, not to mention a forecast system. In this work, based on satellite measurements and statistics, a forecast system has been developed for the Caribbean Sea. From this system, Sargassum blooms in May–August in the Caribbean can be predicted by the end of February, with overall accuracy often exceeding 80% in the eastern Caribbean. The system thus provides at least several months of lead time for the local residents and management agencies to better prepare for potential beaching events. The approach has significant implications for many other regions experiencing macroalgal blooms of either Sargassum or Ulva prolifera.en_US
dc.bibliographicCitation.titleGeophysical Research Lettersen_US
dc.bibliographicCitation.volume44en_US
dc.description.sdg14.2en_US
dc.description.eovMacroalgal canopy cover and compositionen_US
dc.description.bptypeManual (incl. handbook, guide, cookbook etc)en_US
obps.contact.contactnameC. Hu
obps.contact.contactemailhuc@usf.edu
obps.resourceurl.publisherhttps://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017GL072932en_US


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